Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 25, 2024
Full time
Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer - the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning - NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design - load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Apr 25, 2024
Full time
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer - the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning - NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design - load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
CBSbutler Holdings Limited trading as CBSbutler
Rochester, Kent
Graduate Software Engineer (Embedded) Defence; Aerospace; Marine; MOD; Naval; Maritime Rochester, Kent (Hybrid) 34,000 - 40,000 + excellent benefits A global aerospace and defence organisation specialising in state-of-the-art defence solutions are seeking a Graduate Engineer, with an interest in developing a career in Embedded Software Key accountabilities - Graduate Software Engineer (Embedded) Developing embedded software, peripheral drivers, protocol, human-machine interfaces and associated supporting documentation. Analysing and defining, software architecture/ design, modelling and simulation, systems/ software integration, verification and validation, safety critical development techniques. Qualifications and Skills required - Graduate Software Engineer (Embedded) Degree or equivalent qualification in a Scientific/Engineering (electronics-engineering, software-engineering, physics, maths) environment Excellent Software Engineering skills, with a solid foundation in one of C/C++/C#/Ada Knowledge and understanding of the Software Lifecycle As a Graduate Software Engineer you will be working as part of a team of passionate and innovative engineers creating world-leading control and display systems. This is an exciting entry level position that will provide you with a challenging role whilst allowing you to develop your skills, learning from the experienced engineers around you. For more information apply now!
Apr 23, 2024
Full time
Graduate Software Engineer (Embedded) Defence; Aerospace; Marine; MOD; Naval; Maritime Rochester, Kent (Hybrid) 34,000 - 40,000 + excellent benefits A global aerospace and defence organisation specialising in state-of-the-art defence solutions are seeking a Graduate Engineer, with an interest in developing a career in Embedded Software Key accountabilities - Graduate Software Engineer (Embedded) Developing embedded software, peripheral drivers, protocol, human-machine interfaces and associated supporting documentation. Analysing and defining, software architecture/ design, modelling and simulation, systems/ software integration, verification and validation, safety critical development techniques. Qualifications and Skills required - Graduate Software Engineer (Embedded) Degree or equivalent qualification in a Scientific/Engineering (electronics-engineering, software-engineering, physics, maths) environment Excellent Software Engineering skills, with a solid foundation in one of C/C++/C#/Ada Knowledge and understanding of the Software Lifecycle As a Graduate Software Engineer you will be working as part of a team of passionate and innovative engineers creating world-leading control and display systems. This is an exciting entry level position that will provide you with a challenging role whilst allowing you to develop your skills, learning from the experienced engineers around you. For more information apply now!
Lecturer in Biomedical Engineering Department Electronic & Electrical Engineering Salary Starting from £45,585, rising to £54,395 Closing date Thursday 09 May 2024 About the role The Department of Electronic and Electrical Engineering at the University of Bath is seeking to appoint a Lecturer in Biomedical Engineering or Human Augmentation to undertake excellent research and deliver high-quality teaching. We are looking for an outstanding researcher to enhance our research, join an expanding and ambitious department, and to shape the technology of the future in a vibrant and inclusive environment. The University hosts both the Centre for Bioengineering and Biomedical Technologies (CBio) and the Bath Institute for the Augmented Human (IAH), and you will be expected to contribute significantly to the success of either one or both of these exciting new research entities. About CBio CBios mission is to improve health and wellbeing through world-leading bioengineering research, with a vision to foster and develop transdisciplinary and translatable research that addresses the grand challenges in human health and wellbeing. CBio builds on the strong international reputation of the previous Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), and extends its remit to include ground-breaking research in biomedical technology and bioengineering. This includes emerging strengths in robotics and autonomous systems for healthcare, and major strengths in biomechanics, bioprocesses and tissue engineering. About the IAH The IAH is the Universitys newest research Institute, established in 2023, as an innovative and agile leader in Human Augmentation R&D in the UK and Internationally. Our vision is a complete multidisciplinary training and innovation ecosystem that revolutionises the way that humans interface, interact, improve, and evolve with technology. The Institute is a unique body of interdisciplinary research, focusing on research excellence and developing researchers that have the skills to develop, trial, regulate and deploy human augmentation technologies. Were setting ourselves an ambitious programme involving 50+ academics from an excellent mix of disciplines; from robotics, engineering and computer science to health, neuroscience, and psychology. Together, were establishing a world-leading research Institute, and we want you to be a part of it. About you You will have track record in applied Biomedical Engineering and teaching, with the potential to develop a significant research portfolio. In particular, you should ideally have experience (or potential) in research encompassing bioengineering, biomedical technology and human augmentation technologies - for example, neurotechnology or brain-computer interfaces. You will hold a PhD and an undergraduate degree in Electronic and Electrical Engineering or a very closely related subject. Through your research and teaching, you will be passionate about addressing global challenges and educating the next generation of engineers. This role will suit you if you: - Enjoy working in a collaborative and supportive environment - Can demonstrate a clear fit to the Departments research profile with your research being in research activities, including the application of artificial intelligence and machine learning in your research area - Are passionate about teaching, and have the ability to teach a wide range of electronic and electrical engineering subjects at both postgraduate and undergraduate levels on all of our courses - Have a growing publication record and international reputation appropriate to your career stage - Have potential for winning and delivering on research grants You will be a kind and culturally-aware leader who fosters an environment where every individual is valued and respected, regardless of their background or identity. You will understand that change is inevitable and necessary, actively encouraging your team to adapt and evolve. By promoting a culture of openness and inclusivity, you will create a dynamic and empowered team that can thrive in today's changing world. Informal enquiries about the post may be made to: - Dr Ben Metcalfe, Head of Department - Dr Hannah Leese, Deputy Director of CBio - Prof Damien Coyle, Director of the IAH Please ensure you submit your application through our website, and please upload an up-to-date CV. Working with us You will be joining a progressive and thriving academic environment, and will benefit from the collaborative and well-established Department and Faculty systems at the University of Bath. This includes a strong mentoring and personal and professional development environment in the Department, and the Universitys professional development programme for new lecturers. The lifestyle advantages of working and living in one of the most beautiful and accessible areas in the UK are an added attraction. What we can offer you: - a very generous employer contributory pension scheme - generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance - we are a family-friendly University and, with an increasingly agile workforce, are open to flexible working arrangements - an excellent reward package that recognises the talents of our diverse workforce - a wide range of personal and professional development opportunities - a number of support options available, for new and existing staff, to help with the cost of some immigration expenses which you may be eligible for: Relocation allowance, Visa Reimbursement, Interest-Free Loan. Find out more about our benefits on our website. We consider ourselves to be an inclusive university, where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on our teams. We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff. Find out from our staff what makes the University of Bath a great place to work. Follow us on Twitter for more information. Other organisations may call this role Lecturer in Biomedical Engineering, Lecturer - Biomedical Engineering, Biomedical Engineering Researcher, Researcher, Professor, or Biomedical Engineering Lecturer. To apply for the role of Lecturer in Biomedical Engineering, please select the apply button shown. JBRP1_UKTJ
Apr 23, 2024
Full time
Lecturer in Biomedical Engineering Department Electronic & Electrical Engineering Salary Starting from £45,585, rising to £54,395 Closing date Thursday 09 May 2024 About the role The Department of Electronic and Electrical Engineering at the University of Bath is seeking to appoint a Lecturer in Biomedical Engineering or Human Augmentation to undertake excellent research and deliver high-quality teaching. We are looking for an outstanding researcher to enhance our research, join an expanding and ambitious department, and to shape the technology of the future in a vibrant and inclusive environment. The University hosts both the Centre for Bioengineering and Biomedical Technologies (CBio) and the Bath Institute for the Augmented Human (IAH), and you will be expected to contribute significantly to the success of either one or both of these exciting new research entities. About CBio CBios mission is to improve health and wellbeing through world-leading bioengineering research, with a vision to foster and develop transdisciplinary and translatable research that addresses the grand challenges in human health and wellbeing. CBio builds on the strong international reputation of the previous Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), and extends its remit to include ground-breaking research in biomedical technology and bioengineering. This includes emerging strengths in robotics and autonomous systems for healthcare, and major strengths in biomechanics, bioprocesses and tissue engineering. About the IAH The IAH is the Universitys newest research Institute, established in 2023, as an innovative and agile leader in Human Augmentation R&D in the UK and Internationally. Our vision is a complete multidisciplinary training and innovation ecosystem that revolutionises the way that humans interface, interact, improve, and evolve with technology. The Institute is a unique body of interdisciplinary research, focusing on research excellence and developing researchers that have the skills to develop, trial, regulate and deploy human augmentation technologies. Were setting ourselves an ambitious programme involving 50+ academics from an excellent mix of disciplines; from robotics, engineering and computer science to health, neuroscience, and psychology. Together, were establishing a world-leading research Institute, and we want you to be a part of it. About you You will have track record in applied Biomedical Engineering and teaching, with the potential to develop a significant research portfolio. In particular, you should ideally have experience (or potential) in research encompassing bioengineering, biomedical technology and human augmentation technologies - for example, neurotechnology or brain-computer interfaces. You will hold a PhD and an undergraduate degree in Electronic and Electrical Engineering or a very closely related subject. Through your research and teaching, you will be passionate about addressing global challenges and educating the next generation of engineers. This role will suit you if you: - Enjoy working in a collaborative and supportive environment - Can demonstrate a clear fit to the Departments research profile with your research being in research activities, including the application of artificial intelligence and machine learning in your research area - Are passionate about teaching, and have the ability to teach a wide range of electronic and electrical engineering subjects at both postgraduate and undergraduate levels on all of our courses - Have a growing publication record and international reputation appropriate to your career stage - Have potential for winning and delivering on research grants You will be a kind and culturally-aware leader who fosters an environment where every individual is valued and respected, regardless of their background or identity. You will understand that change is inevitable and necessary, actively encouraging your team to adapt and evolve. By promoting a culture of openness and inclusivity, you will create a dynamic and empowered team that can thrive in today's changing world. Informal enquiries about the post may be made to: - Dr Ben Metcalfe, Head of Department - Dr Hannah Leese, Deputy Director of CBio - Prof Damien Coyle, Director of the IAH Please ensure you submit your application through our website, and please upload an up-to-date CV. Working with us You will be joining a progressive and thriving academic environment, and will benefit from the collaborative and well-established Department and Faculty systems at the University of Bath. This includes a strong mentoring and personal and professional development environment in the Department, and the Universitys professional development programme for new lecturers. The lifestyle advantages of working and living in one of the most beautiful and accessible areas in the UK are an added attraction. What we can offer you: - a very generous employer contributory pension scheme - generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance - we are a family-friendly University and, with an increasingly agile workforce, are open to flexible working arrangements - an excellent reward package that recognises the talents of our diverse workforce - a wide range of personal and professional development opportunities - a number of support options available, for new and existing staff, to help with the cost of some immigration expenses which you may be eligible for: Relocation allowance, Visa Reimbursement, Interest-Free Loan. Find out more about our benefits on our website. We consider ourselves to be an inclusive university, where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on our teams. We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff. Find out from our staff what makes the University of Bath a great place to work. Follow us on Twitter for more information. Other organisations may call this role Lecturer in Biomedical Engineering, Lecturer - Biomedical Engineering, Biomedical Engineering Researcher, Researcher, Professor, or Biomedical Engineering Lecturer. To apply for the role of Lecturer in Biomedical Engineering, please select the apply button shown. JBRP1_UKTJ
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
Apr 22, 2024
Full time
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
Lecturer / Associate Professor of Geospatial Data Science Salary: £44,263 to £72,018 Location: Highfield Campus, SOUTHAMPTON Full time Permanent Achieving the Remarkable The University of Southampton is in the top 1% of world universities and is one of the UK's top 15 research-intensive universities. Committed to excellence in all we do, we're growing and investing in our research and people to accelerate our remarkable achievements. With a particular focus on four key impact themes chosen to build on the university's existing strengths and to address the most complex societal and environmental challenges: Artificial Intelligence, sustainability and resilience, decarbonisation and engineering better health, this role is integral to our aim of making a lasting difference. The School of Geography and Environmental Science is ranked sixth in the UK by subject (Guardian Subject League Table, 2024) and third for overall research quality (Grade Point Average, REF2021), with 75% of our impact case studies being judged as world leading. We have world leading expertise in Geospatial research, knowledge exchange and enterprise and we are a founding member of Southampton Geospatial, a multi-disciplinary research centre at the university that brings together diverse areas of geospatial knowledge and analytics to address key environmental and societal issues. The role We're seeking to appoint a Lecturer or Associate Professor in Geospatial data science to strengthen our world leading Geospatial research and teaching. You'll conduct innovative and impactful research by developing and applying advanced computational methods to analyse and interpret geospatial data through application(s) focused on one or more of the following areas: sustainability, environmental change, climate change, and health. You'll be part of Southampton Geospatial, with potential to join the leadership team and shape its future strategy. You're expected to contribute to geospatial teaching in one or more undergraduate or post-graduate teaching programmes within the school with the opportunity to develop new modules in geospatial data science at master's level. About you You should have strong expertise in geospatial data science with a solid background in advanced methods such as machine learning, AI or other quantitative methods and significant expertise in programming. You should have the ability to collaborate across disciplines with applied interest in one or more of the following areas, including but not limited to: understanding cause and impact of global environmental change, impact of climate change on human health, modelling space time changes in environment and population. You should also have experience in teaching and mentoring students at the undergraduate and postgraduate levels, with a focus on geospatial data science or related courses. What we can offer you With a generous holiday allowance and additional university closure days, we are committed to supporting our staff and open to a flexible working approach. Giving full consideration to applicants that wish to work flexibly and those who have taken a career break. We aim to create an environment where everyone can thrive and we welcome applications from candidates who are committed to helping us create an inclusive work environment. We particularly encourage applications from people who identify with one or more of the following: Black, Asian, a minority ethnic background, coming from a lower socio-economic background, LGBTQ+, a woman or having a disability as these identities are currently underrepresented in our working community. Click through to apply and discover how the University of Southampton is investing in key impact themes to help change the world for the better.
Apr 20, 2024
Full time
Lecturer / Associate Professor of Geospatial Data Science Salary: £44,263 to £72,018 Location: Highfield Campus, SOUTHAMPTON Full time Permanent Achieving the Remarkable The University of Southampton is in the top 1% of world universities and is one of the UK's top 15 research-intensive universities. Committed to excellence in all we do, we're growing and investing in our research and people to accelerate our remarkable achievements. With a particular focus on four key impact themes chosen to build on the university's existing strengths and to address the most complex societal and environmental challenges: Artificial Intelligence, sustainability and resilience, decarbonisation and engineering better health, this role is integral to our aim of making a lasting difference. The School of Geography and Environmental Science is ranked sixth in the UK by subject (Guardian Subject League Table, 2024) and third for overall research quality (Grade Point Average, REF2021), with 75% of our impact case studies being judged as world leading. We have world leading expertise in Geospatial research, knowledge exchange and enterprise and we are a founding member of Southampton Geospatial, a multi-disciplinary research centre at the university that brings together diverse areas of geospatial knowledge and analytics to address key environmental and societal issues. The role We're seeking to appoint a Lecturer or Associate Professor in Geospatial data science to strengthen our world leading Geospatial research and teaching. You'll conduct innovative and impactful research by developing and applying advanced computational methods to analyse and interpret geospatial data through application(s) focused on one or more of the following areas: sustainability, environmental change, climate change, and health. You'll be part of Southampton Geospatial, with potential to join the leadership team and shape its future strategy. You're expected to contribute to geospatial teaching in one or more undergraduate or post-graduate teaching programmes within the school with the opportunity to develop new modules in geospatial data science at master's level. About you You should have strong expertise in geospatial data science with a solid background in advanced methods such as machine learning, AI or other quantitative methods and significant expertise in programming. You should have the ability to collaborate across disciplines with applied interest in one or more of the following areas, including but not limited to: understanding cause and impact of global environmental change, impact of climate change on human health, modelling space time changes in environment and population. You should also have experience in teaching and mentoring students at the undergraduate and postgraduate levels, with a focus on geospatial data science or related courses. What we can offer you With a generous holiday allowance and additional university closure days, we are committed to supporting our staff and open to a flexible working approach. Giving full consideration to applicants that wish to work flexibly and those who have taken a career break. We aim to create an environment where everyone can thrive and we welcome applications from candidates who are committed to helping us create an inclusive work environment. We particularly encourage applications from people who identify with one or more of the following: Black, Asian, a minority ethnic background, coming from a lower socio-economic background, LGBTQ+, a woman or having a disability as these identities are currently underrepresented in our working community. Click through to apply and discover how the University of Southampton is investing in key impact themes to help change the world for the better.
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
Apr 19, 2024
Full time
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
BAE Systems Digital Intelligence Engineering & Physics Graduate Start Date: June or September 2023 Base location: Guildford, Gloucester, or Great Baddow Here at BAE Systems Digital Intelligence, we are committed to helping governments, organisations and society navigate digital threats and opportunities. Whether it's leveraging data to digitally transform operations or securing organisations and nations from cyber threats, we combine our unrivalled security and engineering heritage to help our clients navigate the data-reliant digital landscape. As the cyber and intelligence arm of BAE Systems, we employ over 4,800 people across 15 countries in North America, APAC, Europe and the Middle East. With our distinguished heritage, we relish the opportunity to transform digital and data practices, defence, intelligence, security and society for government agencies, law enforcement, financial services, and critical infrastructure. Everything we do creates a safer future. In the new age of cyber and digital threats, our people have a shared vision to protect the connected world. We are obsessed about solving problems for our customers; we bring together great minds that make a difference on a daily basis. Role Profile We are looking for graduates to work on developing innovative mission critical technology and products for our customers. Applications include high performance networking, space systems, software radios and underwater systems. As a Graduate Engineer, you will be part of a project team who will coach you on the day to day skills required to work closely with our customers. You might be designing RF/digital electronics or developing software/firmware targeted at a wide range of devices (e.g. FPGAs, ARM processors, GPUs, microcontrollers). You could be involved in designing signal processing algorithms or researching new and exciting areas of science and technology. You will be part of our Future Talent community, which organises training, networking and social events to get involved with. We will support you with a career mentor who will guide you through your career as it develops, and we will encourage you to work towards professional registration and get involved in engineering outreach activities to inspire future generations of engineer. Who are we looking for? We have several engineering focused roles which will suit people who are enthusiasts for technology, enjoy making things and understanding how they work. We also have science focused roles where we are looking for people with a strong academic science background, especially in electromagnetics, optics, machine learning and applied mathematics. What you will receive £30,000 starting salary, rising to £35,000 over 2 years Private medical insurance 25 days' annual leave Flexible benefits including discounts on restaurants, cinemas and shops Share incentive plan Entry Requirements On track to achieve/already achieved 2:1 degree typically with an Engineering or Physics background, but we would also welcome applications from Mathematicians looking to apply their knowledge Interest in science and technology Highly motivated and able to learn quickly You will need to have graduated within the last 3 years Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Applied Intelligence. Due to the nature of our, work successful candidates for this role will be required to go through Government SC clearance prior to starting with us. What's next? CV submission & review Digital assessment Live Interview Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. About BAE Systems Digital Intelligence BAE Systems Digital Intelligence is home to 4,800 digital, cyber and intelligence experts. We work collaboratively across 16 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Launched in 2022, Digital Intelligence is part of BAE Systems, and has a rich heritage in helping to defend nations and businesses around the world from advanced threats.
Sep 23, 2022
Full time
BAE Systems Digital Intelligence Engineering & Physics Graduate Start Date: June or September 2023 Base location: Guildford, Gloucester, or Great Baddow Here at BAE Systems Digital Intelligence, we are committed to helping governments, organisations and society navigate digital threats and opportunities. Whether it's leveraging data to digitally transform operations or securing organisations and nations from cyber threats, we combine our unrivalled security and engineering heritage to help our clients navigate the data-reliant digital landscape. As the cyber and intelligence arm of BAE Systems, we employ over 4,800 people across 15 countries in North America, APAC, Europe and the Middle East. With our distinguished heritage, we relish the opportunity to transform digital and data practices, defence, intelligence, security and society for government agencies, law enforcement, financial services, and critical infrastructure. Everything we do creates a safer future. In the new age of cyber and digital threats, our people have a shared vision to protect the connected world. We are obsessed about solving problems for our customers; we bring together great minds that make a difference on a daily basis. Role Profile We are looking for graduates to work on developing innovative mission critical technology and products for our customers. Applications include high performance networking, space systems, software radios and underwater systems. As a Graduate Engineer, you will be part of a project team who will coach you on the day to day skills required to work closely with our customers. You might be designing RF/digital electronics or developing software/firmware targeted at a wide range of devices (e.g. FPGAs, ARM processors, GPUs, microcontrollers). You could be involved in designing signal processing algorithms or researching new and exciting areas of science and technology. You will be part of our Future Talent community, which organises training, networking and social events to get involved with. We will support you with a career mentor who will guide you through your career as it develops, and we will encourage you to work towards professional registration and get involved in engineering outreach activities to inspire future generations of engineer. Who are we looking for? We have several engineering focused roles which will suit people who are enthusiasts for technology, enjoy making things and understanding how they work. We also have science focused roles where we are looking for people with a strong academic science background, especially in electromagnetics, optics, machine learning and applied mathematics. What you will receive £30,000 starting salary, rising to £35,000 over 2 years Private medical insurance 25 days' annual leave Flexible benefits including discounts on restaurants, cinemas and shops Share incentive plan Entry Requirements On track to achieve/already achieved 2:1 degree typically with an Engineering or Physics background, but we would also welcome applications from Mathematicians looking to apply their knowledge Interest in science and technology Highly motivated and able to learn quickly You will need to have graduated within the last 3 years Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Applied Intelligence. Due to the nature of our, work successful candidates for this role will be required to go through Government SC clearance prior to starting with us. What's next? CV submission & review Digital assessment Live Interview Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. About BAE Systems Digital Intelligence BAE Systems Digital Intelligence is home to 4,800 digital, cyber and intelligence experts. We work collaboratively across 16 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Launched in 2022, Digital Intelligence is part of BAE Systems, and has a rich heritage in helping to defend nations and businesses around the world from advanced threats.
Applied Scientist, SCOT IPC SimJob ID: Amazon UK Services Ltd.Job summary This job opportunity requires relocation to UK - opening is available in London or Cambridge. Are you looking for a challenge? Imagine being part of a team that owns one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on ( ) worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day. Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT - ) group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. Within SCOT, the IPC Sim (Inventory Planning and Control Simulation) team is responsible for designing and executing the simulations and experiments that measure the impact of SCOT initiatives, as well as predicting inventory flows for labor planning. Amazon's Cambridge UK based Simulation team is looking for an experienced and passionate Applied Scientist (AS) to join our fast-paced stimulating environment, to help invent the future of retail with technology. The Inventory Panning and Control (IPC) Simulation team is part of the Supply Chain Optimization Technologies (SCOT) organization. The charter of the SCOT team is to maximize Amazon's return on our inventory investment in terms of Free Cash Flow, and customer satisfaction. We accomplish this by applying simulation, advanced statistical methods, and empirical analysis to predict and evaluate Amazon's inventory needs. The IPC Sim team builds systems that allow SCOT to answer "what if?" questions about our supply chain, our fulfilment network, and our customers. This puts the IPC Sim team at the nexus of operations, logistics, capacity planning, and our retail business teams. To learn more about Supply Chain Optimization Technologies (SCOT) at Amazon, watch this amazing video: To learn more about the work of the team read this blog post: As an Applied Scientist you will design and develop new machine learning methods that will form the backbone of the simulation and experimentation systems that drive Amazon's retail business forward. You will have access to large datasets with billions of orders and products to build large-scale machine learning systems. Areas of work in this domain include probabilistic modelling, emulation using Gaussian processes, Bayesian optimization and probabilistic numerics, statistical analysis of computer experiments, adaptive experimental design and causal inference. You will work with Researchers, Data Scientists, Data Engineers, Software Engineers, and Product Managers across multiple teams. Successful outstanding candidates will bring strong technical and analytical abilities, combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership, and a drive, to solve some of the most challenging data and engineering problems in retail. Amazon is an Equal Opportunity - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. BASIC QUALIFICATIONS Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline ( physics, maths, engineering). Completed PhD in machine learning or statistics or equivalent experience. Ability to communicate scientific results and ideas in writing, as evidenced by papers in top machine learning conferences (NeurIPS, ICML, AISTATS, etc) and/or statistical journals (JASA, Annals of statistics, etc) Strong verbal and written communication skills and an ability to work in a team environment Proven hands-on experience in predictive modelling and analysis. 4+ years of experience using scripting languages ( Python) PREFERRED QUALIFICATIONS Expertise in Bayesian computation, Gaussian processes, kernel methods, surrogate modelling (emulation), optimisation, experimental design. Experience in python's machine learning and data science stack (tensorflow/pytorch/mxnet, numpy, pandas, matplotlib, scikit-learn, etc). Ability to convey rigorous mathematical concepts and considerations to non-experts. Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives. Strong software development skills. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel: ). If calling from Ireland, please dial (tel: ).
Sep 23, 2022
Full time
Applied Scientist, SCOT IPC SimJob ID: Amazon UK Services Ltd.Job summary This job opportunity requires relocation to UK - opening is available in London or Cambridge. Are you looking for a challenge? Imagine being part of a team that owns one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on ( ) worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day. Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT - ) group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. Within SCOT, the IPC Sim (Inventory Planning and Control Simulation) team is responsible for designing and executing the simulations and experiments that measure the impact of SCOT initiatives, as well as predicting inventory flows for labor planning. Amazon's Cambridge UK based Simulation team is looking for an experienced and passionate Applied Scientist (AS) to join our fast-paced stimulating environment, to help invent the future of retail with technology. The Inventory Panning and Control (IPC) Simulation team is part of the Supply Chain Optimization Technologies (SCOT) organization. The charter of the SCOT team is to maximize Amazon's return on our inventory investment in terms of Free Cash Flow, and customer satisfaction. We accomplish this by applying simulation, advanced statistical methods, and empirical analysis to predict and evaluate Amazon's inventory needs. The IPC Sim team builds systems that allow SCOT to answer "what if?" questions about our supply chain, our fulfilment network, and our customers. This puts the IPC Sim team at the nexus of operations, logistics, capacity planning, and our retail business teams. To learn more about Supply Chain Optimization Technologies (SCOT) at Amazon, watch this amazing video: To learn more about the work of the team read this blog post: As an Applied Scientist you will design and develop new machine learning methods that will form the backbone of the simulation and experimentation systems that drive Amazon's retail business forward. You will have access to large datasets with billions of orders and products to build large-scale machine learning systems. Areas of work in this domain include probabilistic modelling, emulation using Gaussian processes, Bayesian optimization and probabilistic numerics, statistical analysis of computer experiments, adaptive experimental design and causal inference. You will work with Researchers, Data Scientists, Data Engineers, Software Engineers, and Product Managers across multiple teams. Successful outstanding candidates will bring strong technical and analytical abilities, combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership, and a drive, to solve some of the most challenging data and engineering problems in retail. Amazon is an Equal Opportunity - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. BASIC QUALIFICATIONS Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline ( physics, maths, engineering). Completed PhD in machine learning or statistics or equivalent experience. Ability to communicate scientific results and ideas in writing, as evidenced by papers in top machine learning conferences (NeurIPS, ICML, AISTATS, etc) and/or statistical journals (JASA, Annals of statistics, etc) Strong verbal and written communication skills and an ability to work in a team environment Proven hands-on experience in predictive modelling and analysis. 4+ years of experience using scripting languages ( Python) PREFERRED QUALIFICATIONS Expertise in Bayesian computation, Gaussian processes, kernel methods, surrogate modelling (emulation), optimisation, experimental design. Experience in python's machine learning and data science stack (tensorflow/pytorch/mxnet, numpy, pandas, matplotlib, scikit-learn, etc). Ability to convey rigorous mathematical concepts and considerations to non-experts. Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives. Strong software development skills. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel: ). If calling from Ireland, please dial (tel: ).
Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work! Data Science and Engineering is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver ground breaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our cutting edge shared services organization, your technical skills will be recognized and rewarded. Data Scientists: Use Big Data and advanced analytics to direct the engagement of our business leaders. We need someone who can execute research and analytics, including data source identification, processing, model/algorithm development. Data Engineers: In this role, you will be developing and maintaining minimal viable prototypes to scalable data pipelines that will ingest, transform and distribute numerous data streams and batches in support of key R&D initiatives. You'll be supporting and collaborating with Data Scientists to develop advanced machine learning and statistical models. We need someone who can evaluate tools and develop pipelines to capture, integrate and clean data to support edge analytics solutions, as well as deliver optimal data solution architectures, automation and technical choices starting from experimentation through proof of concept and often through delivery. What you can expect: We are looking to recruit candidates to work in our Newcastle Innovation Centre for 6 to 12 month internship placements starting in summer 2022. We offer you: Responsibilities as of Day 1 - you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities from a team that includes senior management and experience the impact you can have in our business early on Continuous coaching - you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager, enabling you to grow in a multifunctional, diverse environment and developing your talents and ideas Dynamic and respectful work environment - employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance Benefits - we offer an attractive remuneration package on top of a great learning experience, and the best interns have potential to receive a Job Offer after they graduate Qualifications Requirements (sell/experiences) for the role: Are a penultimate or final year student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field Have Academic excellence at all stages through school and University education Have a good knowledge of English Demonstrated leadership in applying and scaling Analytic techniques to deliver measurable insights from data Familiarity with machine learning workflows, sensors and IoT cloud architecture (desirable) Preferred Experience with Analytical Tools/Applications such as Unix/Linux; Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv; Scientific Computing: R, Python, C++, Java, Scala; High-Performance Parallel and Distributing Computing; Deep Learning frameworks: Keras, Tensorflow; Data Visualization/Management Systems; Business Intelligence tools: such as KNIME, Tableau At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. Our people come from diverse traditions, personal experiences and points of view. And we want to include yours. Are you ready to inspire us with your unrivalled ideas? P&G ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please contact us to request an accommodation by clicking 'application help' at the top right-hand corner of the career website.
Jan 04, 2022
Full time
Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work! Data Science and Engineering is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver ground breaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our cutting edge shared services organization, your technical skills will be recognized and rewarded. Data Scientists: Use Big Data and advanced analytics to direct the engagement of our business leaders. We need someone who can execute research and analytics, including data source identification, processing, model/algorithm development. Data Engineers: In this role, you will be developing and maintaining minimal viable prototypes to scalable data pipelines that will ingest, transform and distribute numerous data streams and batches in support of key R&D initiatives. You'll be supporting and collaborating with Data Scientists to develop advanced machine learning and statistical models. We need someone who can evaluate tools and develop pipelines to capture, integrate and clean data to support edge analytics solutions, as well as deliver optimal data solution architectures, automation and technical choices starting from experimentation through proof of concept and often through delivery. What you can expect: We are looking to recruit candidates to work in our Newcastle Innovation Centre for 6 to 12 month internship placements starting in summer 2022. We offer you: Responsibilities as of Day 1 - you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities from a team that includes senior management and experience the impact you can have in our business early on Continuous coaching - you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager, enabling you to grow in a multifunctional, diverse environment and developing your talents and ideas Dynamic and respectful work environment - employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance Benefits - we offer an attractive remuneration package on top of a great learning experience, and the best interns have potential to receive a Job Offer after they graduate Qualifications Requirements (sell/experiences) for the role: Are a penultimate or final year student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field Have Academic excellence at all stages through school and University education Have a good knowledge of English Demonstrated leadership in applying and scaling Analytic techniques to deliver measurable insights from data Familiarity with machine learning workflows, sensors and IoT cloud architecture (desirable) Preferred Experience with Analytical Tools/Applications such as Unix/Linux; Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv; Scientific Computing: R, Python, C++, Java, Scala; High-Performance Parallel and Distributing Computing; Deep Learning frameworks: Keras, Tensorflow; Data Visualization/Management Systems; Business Intelligence tools: such as KNIME, Tableau At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. Our people come from diverse traditions, personal experiences and points of view. And we want to include yours. Are you ready to inspire us with your unrivalled ideas? P&G ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please contact us to request an accommodation by clicking 'application help' at the top right-hand corner of the career website.
A bit about us: We are an award-winning consultancy that hires smart, aspiring, diverse talent and transforms them into consultants who can solve our clients' data, AI, and next-generation challenges through high-quality, salaried training and dedicated support. The role: Our Machine Learning Engineers apply data science algorithms to solve practical real-world problems using structured and unstructured datasets, including price prediction, image classification, and sentiment analysis. As a Kubrick Machine Learning Engineer, you will extract value from data to improve insights, drive efficiency, and implement automation to solve today's most pressing business challenges. What you'll receive: 15 weeks of high-quality, paid training in the latest tools and technology, delivered by industry experts and designed for people without any experience in data, AI, or next generation technology Train alongside approx. 30 other new joiners who are also new to the world of data, AI, and next generation technology, giving you an in-built network from day one Ongoing support throughout the 15 weeks of training Competitive £32,000 year-one salary, with an impressive increase to £40,000 in your second year Exposure to exciting FTSE 100 organisations and industries Automatic access to exciting projects that are typically reserved for experienced consultants Continuous opportunities to build your skills and understanding in new and exciting areas Access to a range of ongoing development resources, both during your employment as a Kubrick alumni member (if you choose to join your client) Ongoing professional and developmental support from your dedicated People Team representative Access to a range of benefits to support your mental, physical, and financial wellbeing Why you should join: Our unique blend of high-quality training, access to exciting clients and projects, and dedicated support will accelerate your career much faster than the typical graduate scheme. Within the first few weeks on site, you will be entrusted to work on projects that are typically reserved for professionals with at least one years' experience, and you will continue on this rapid trajectory throughout your career with Kubrick. What we do need from you: You don't need any data, AI, or next generation skills or experience to join us as we will teach you everything you need to know! What you do need: Educated to degree level, preferably with a strong quantitative component, with A level mathematics or statistics and minimum of 120 new (300 old) UCAS points Analytical and problem-solving skills Team player Strong interest in data and technology Good communication skills, both oral and written A strong work ethic and commitment to producing high quality solutions Flexible on location as our consultants often work across the UK Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHA, and other forms of neurocognitive variation.
Jan 04, 2022
Full time
A bit about us: We are an award-winning consultancy that hires smart, aspiring, diverse talent and transforms them into consultants who can solve our clients' data, AI, and next-generation challenges through high-quality, salaried training and dedicated support. The role: Our Machine Learning Engineers apply data science algorithms to solve practical real-world problems using structured and unstructured datasets, including price prediction, image classification, and sentiment analysis. As a Kubrick Machine Learning Engineer, you will extract value from data to improve insights, drive efficiency, and implement automation to solve today's most pressing business challenges. What you'll receive: 15 weeks of high-quality, paid training in the latest tools and technology, delivered by industry experts and designed for people without any experience in data, AI, or next generation technology Train alongside approx. 30 other new joiners who are also new to the world of data, AI, and next generation technology, giving you an in-built network from day one Ongoing support throughout the 15 weeks of training Competitive £32,000 year-one salary, with an impressive increase to £40,000 in your second year Exposure to exciting FTSE 100 organisations and industries Automatic access to exciting projects that are typically reserved for experienced consultants Continuous opportunities to build your skills and understanding in new and exciting areas Access to a range of ongoing development resources, both during your employment as a Kubrick alumni member (if you choose to join your client) Ongoing professional and developmental support from your dedicated People Team representative Access to a range of benefits to support your mental, physical, and financial wellbeing Why you should join: Our unique blend of high-quality training, access to exciting clients and projects, and dedicated support will accelerate your career much faster than the typical graduate scheme. Within the first few weeks on site, you will be entrusted to work on projects that are typically reserved for professionals with at least one years' experience, and you will continue on this rapid trajectory throughout your career with Kubrick. What we do need from you: You don't need any data, AI, or next generation skills or experience to join us as we will teach you everything you need to know! What you do need: Educated to degree level, preferably with a strong quantitative component, with A level mathematics or statistics and minimum of 120 new (300 old) UCAS points Analytical and problem-solving skills Team player Strong interest in data and technology Good communication skills, both oral and written A strong work ethic and commitment to producing high quality solutions Flexible on location as our consultants often work across the UK Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHA, and other forms of neurocognitive variation.
Junior Electrical Design Engineer Commutable from Newark-on-Trent, Grantham, Sleaford, Lincoln £25,000 - £30,000 + Training + Progression + Pension Are you an Electrical Junior or Graduate Design Engineer looking to join a rapidly expanding company where you can progress with industry specific training to make you a specialist in the field? On offer is an opportunity work alongside a talented team of engineers on innovative projects with the latest equipment where you can quickly learn the ropes. This is an industry leading company that provides innovative solutions to agricultural customers around the country, by designing and manufacturing specialist equipment/machinery. This role would suit an Junior or Graduate Electrical Design Engineer with some Design experience that isn't afraid to take on a more hands-on role, who is looking to increase their skillset within a rewarding and specialised environment. The role: Designing and Maintaining electrical and electronic components and systems Taking part in product development Learning and Technical Training tailored to your career path The person: Holds some Electrical/Electronic design and development knowledge or experience Looking for a workshop based role with full training Looking for a long-term career in an industry leading company If you are interested and think you meet these criteria then apply or contact Ander Technical Recruitment
Dec 08, 2021
Full time
Junior Electrical Design Engineer Commutable from Newark-on-Trent, Grantham, Sleaford, Lincoln £25,000 - £30,000 + Training + Progression + Pension Are you an Electrical Junior or Graduate Design Engineer looking to join a rapidly expanding company where you can progress with industry specific training to make you a specialist in the field? On offer is an opportunity work alongside a talented team of engineers on innovative projects with the latest equipment where you can quickly learn the ropes. This is an industry leading company that provides innovative solutions to agricultural customers around the country, by designing and manufacturing specialist equipment/machinery. This role would suit an Junior or Graduate Electrical Design Engineer with some Design experience that isn't afraid to take on a more hands-on role, who is looking to increase their skillset within a rewarding and specialised environment. The role: Designing and Maintaining electrical and electronic components and systems Taking part in product development Learning and Technical Training tailored to your career path The person: Holds some Electrical/Electronic design and development knowledge or experience Looking for a workshop based role with full training Looking for a long-term career in an industry leading company If you are interested and think you meet these criteria then apply or contact Ander Technical Recruitment
Data Science Analyst I am working with a global automotive business with strong roots in the market, who have grown to be one of the biggest names internationally. They provide rewarding career paths, fostering personal achievement and celebrating collective success. Being # 1 takes talent, a clear vision of the road ahead, a driving passion for excellence, but most of all, great people. They have a smart working policy led through a hybrid working environment. You will be encouraged to use your imagination and initiative to drive growth, efficiency and high-quality performance to produce outstanding results. In return for your hard work and dedication, you will be rewarded with excellent career opportunities, training & development, a competitive Incentive package, staff discount programme and many more. The Role of a Data Science Analyst : The Data Science Analyst is responsible for Applications, Tools and Models that deliver actions and insights from their rich history of observational data. Working closely with management, Analytics and the Data Science team, the Data Science Analyst will build descriptive, predictive, and prescriptive models with the ultimate goal of maximizing profit and gaining a competitive advantage in the market. Key Responsibilities of a Data Science Analyst : Curate and structure data from many sources, including internal databases and external sources, and custom built applications. Front-end developer involved from conception to release of applications and tools to support Revenue Management. Develop new tools with the Analytics team, interpret any key finding or analysis to find applicability to their regions of responsibility, and incorporate this data into the daily decision-making process. Analyse large, complex multi-dimensional data sets with variety of tools Analysing internal and external data and processes to identify both competitive threats and opportunities. Using this analysis in the production and development of tools Mentor other level data scientists and data analysts in best practices for data preparation, analysis, coding and modelling Essential Requirements for a Data Science Analyst Your Skills - What you need for a Great Journey My client need someone who is highly organised and prioritises their workload well, has good level of engagement with stakeholder's key to the success of the sales process. They require you to have a proactive approach that produces desired results. Educational Background for the Data Science Analyst : Degree in a quantitative field with an emphasis on predictive modelling, including: Statistics, Data Science, Operations Research, Industrial Engineering, Actuarial Science, Mathematics, or Economics Graduate degree preferred but not required in lieu of experience Required Experience for a Data Science Analyst : Strong understanding of RDBMS, with advanced SQL including architecture and administration. Experience using Tableau or similar BI tool Fluency in any object-oriented programming languages (VBA, VB.NET, Python) Nice to Have for a Data Science Analyst : Understanding of Cloud Solutions (AWS, Azure) and distributed computing. Experienced using Databricks, Apache Spark, Delta Lake. Statistical knowledge for Machine Learning, Deep Learning Experience working with ML/DL Libraries such as Scikit-learn, TensorFlow, SparkMLib. Your Benefits as a Data Science Analyst : Pension scheme - we contribute up to 8% of your salary so you save more Career development opportunities across Hertz UK and Europe 25 days Annual Leave Various Flexible Benefits Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Where rates of pay or salary ranges are detailed these are dependent upon your experience, qualifications or training. If you wish to apply for this position please read our Privacy Notice which details how we may use, process, store and disclose your Personal Information: roberthalf.co.uk/privacy notice.
Nov 10, 2021
Full time
Data Science Analyst I am working with a global automotive business with strong roots in the market, who have grown to be one of the biggest names internationally. They provide rewarding career paths, fostering personal achievement and celebrating collective success. Being # 1 takes talent, a clear vision of the road ahead, a driving passion for excellence, but most of all, great people. They have a smart working policy led through a hybrid working environment. You will be encouraged to use your imagination and initiative to drive growth, efficiency and high-quality performance to produce outstanding results. In return for your hard work and dedication, you will be rewarded with excellent career opportunities, training & development, a competitive Incentive package, staff discount programme and many more. The Role of a Data Science Analyst : The Data Science Analyst is responsible for Applications, Tools and Models that deliver actions and insights from their rich history of observational data. Working closely with management, Analytics and the Data Science team, the Data Science Analyst will build descriptive, predictive, and prescriptive models with the ultimate goal of maximizing profit and gaining a competitive advantage in the market. Key Responsibilities of a Data Science Analyst : Curate and structure data from many sources, including internal databases and external sources, and custom built applications. Front-end developer involved from conception to release of applications and tools to support Revenue Management. Develop new tools with the Analytics team, interpret any key finding or analysis to find applicability to their regions of responsibility, and incorporate this data into the daily decision-making process. Analyse large, complex multi-dimensional data sets with variety of tools Analysing internal and external data and processes to identify both competitive threats and opportunities. Using this analysis in the production and development of tools Mentor other level data scientists and data analysts in best practices for data preparation, analysis, coding and modelling Essential Requirements for a Data Science Analyst Your Skills - What you need for a Great Journey My client need someone who is highly organised and prioritises their workload well, has good level of engagement with stakeholder's key to the success of the sales process. They require you to have a proactive approach that produces desired results. Educational Background for the Data Science Analyst : Degree in a quantitative field with an emphasis on predictive modelling, including: Statistics, Data Science, Operations Research, Industrial Engineering, Actuarial Science, Mathematics, or Economics Graduate degree preferred but not required in lieu of experience Required Experience for a Data Science Analyst : Strong understanding of RDBMS, with advanced SQL including architecture and administration. Experience using Tableau or similar BI tool Fluency in any object-oriented programming languages (VBA, VB.NET, Python) Nice to Have for a Data Science Analyst : Understanding of Cloud Solutions (AWS, Azure) and distributed computing. Experienced using Databricks, Apache Spark, Delta Lake. Statistical knowledge for Machine Learning, Deep Learning Experience working with ML/DL Libraries such as Scikit-learn, TensorFlow, SparkMLib. Your Benefits as a Data Science Analyst : Pension scheme - we contribute up to 8% of your salary so you save more Career development opportunities across Hertz UK and Europe 25 days Annual Leave Various Flexible Benefits Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Where rates of pay or salary ranges are detailed these are dependent upon your experience, qualifications or training. If you wish to apply for this position please read our Privacy Notice which details how we may use, process, store and disclose your Personal Information: roberthalf.co.uk/privacy notice.
Machine Learning Engineer - Graduate Programme 2021 Do you want to work in a role where you could be working on exciting projects such as forecasting customer behaviour, predicting fashion trends, or detecting fraud? Do you enjoy problem solving and feeling challenged? Do you have strong mathematical skills and want to enhance your skill set with training and development opportunities? Kubrick Grou...... click apply for full job details
Mar 31, 2021
Full time
Machine Learning Engineer - Graduate Programme 2021 Do you want to work in a role where you could be working on exciting projects such as forecasting customer behaviour, predicting fashion trends, or detecting fraud? Do you enjoy problem solving and feeling challenged? Do you have strong mathematical skills and want to enhance your skill set with training and development opportunities? Kubrick Grou...... click apply for full job details