New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Optimize models using pruning, quantization, distillation Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills / experience required for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Candidates must live within 1 hour of Cambridge and be able to commute to the office 3 days per week. Apply now for the hybrid Machine Learning Engineer job in Cambridge, Cambridgeshire by sending your CV!
11/07/2025
Full time
New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Optimize models using pruning, quantization, distillation Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills / experience required for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Candidates must live within 1 hour of Cambridge and be able to commute to the office 3 days per week. Apply now for the hybrid Machine Learning Engineer job in Cambridge, Cambridgeshire by sending your CV!
Cambridge University Press & Assessment (CUPA)
Cambridge, Cambridgeshire
Senior Machine Learning Research Engineer Salary: 62,860 - 84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: 1x Permanent, Full Time (35 hours per week) 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development. Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery. Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations. Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven. Plan, prioritize and review work of the team to meet business objectives Lead on technical standards for the team, and mentor junior team members. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills : Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component. Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions. Proactiveness in communicating issues and suggesting solutions. Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems. Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance. Desirable : PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience in applying machine learning to educational assessment and learning solutions Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
10/07/2025
Full time
Senior Machine Learning Research Engineer Salary: 62,860 - 84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: 1x Permanent, Full Time (35 hours per week) 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development. Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery. Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations. Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven. Plan, prioritize and review work of the team to meet business objectives Lead on technical standards for the team, and mentor junior team members. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills : Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component. Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions. Proactiveness in communicating issues and suggesting solutions. Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems. Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance. Desirable : PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience in applying machine learning to educational assessment and learning solutions Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
Cambridge University Press & Assessment (CUPA)
Cambridge, Cambridgeshire
MACHINE LEARNING RESEARCH ENGINEER Salary: 48,330 - 62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Junior Machine Learning Research Engineers (permanent) and 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed-term). Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with substantial machine learning component Proven hands-on industry experience (minimum 2 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Advanced programming skills in languages such as Python with a strong focus on code optimization, modular design, and efficiency. Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. Contributions to patents or peer-reviewed research publications in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
10/07/2025
Full time
MACHINE LEARNING RESEARCH ENGINEER Salary: 48,330 - 62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Junior Machine Learning Research Engineers (permanent) and 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed-term). Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with substantial machine learning component Proven hands-on industry experience (minimum 2 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Advanced programming skills in languages such as Python with a strong focus on code optimization, modular design, and efficiency. Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. Contributions to patents or peer-reviewed research publications in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
Cambridge University Press & Assessment (CUPA)
Cambridge, Cambridgeshire
Junior Machine Learning Research Engineer Salary: 40,000- 52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organization and a proud part of the University of Cambridge. About the Role As a Junior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Help develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed term) and 1 Machine Learning Research Engineer (permanent) . Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: First class Bachelor's or Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component. Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimization, modular design, and efficiency. Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Excellent communication skills. Demonstratable commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. PhD (or equivalent qualifications and experience) in machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We also offer flexible and hybrid working options from day one. We will consider any work arrangements if you wish to work flexibly or require adjustments due to a disability. Ready to pursue potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed suitable before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks, including a DBS check, due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
10/07/2025
Full time
Junior Machine Learning Research Engineer Salary: 40,000- 52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organization and a proud part of the University of Cambridge. About the Role As a Junior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Help develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed term) and 1 Machine Learning Research Engineer (permanent) . Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: First class Bachelor's or Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component. Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimization, modular design, and efficiency. Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Excellent communication skills. Demonstratable commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. PhD (or equivalent qualifications and experience) in machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We also offer flexible and hybrid working options from day one. We will consider any work arrangements if you wish to work flexibly or require adjustments due to a disability. Ready to pursue potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed suitable before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks, including a DBS check, due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
10/07/2025
Full time
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Geoscience Software Engineer (C++/Qt, Masters or PhD) Guildford, Surrey (On-site) £65000 - £120,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Geology, Physics, Mathematics, Science or Computing. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team with an experienced Geological Software Engineer. You will be working Full time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. This role would essentially suit a Structural Geologist with Software Development skills in C++/Qt framework. Your new role You'll join a well-established business with decades experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. It's a rapidly changing environment and they champion Agile, so it's important you are flexible and appreciate the nature of a business at the cutting edge of security technology. You'll be working to deliver a new suite of highly scalable products and a lot of the requirements are greenfield. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You will be working on Real Time systems driven by large data sets, so we are looking for Engineers with a background in R&D environments with excellent academic qualifications. You role will be diverse and I expect no two days to be the same, the product is market-leading and requires methodical thinkers that are excited by mathematical models, algorithm development, number crunching and research. You will be expected to bring new ideas to the table in whatever guise you join, but with the imminent growth there are Senior and Leadership opportunities to aspire to. It's an internally creative team that champion collaboration, they want constant suggestions of how to re-engineer things, not just work from a brief. What you'll need to succeed You must have an Advanced degree (Masters or PhD) in Science, Maths, Engineering, Geology or Computing to apply. We're looking for 5+ years hands-on experience using C++ and GUI Development using Qt framework and Multithreading/Parallel Programming. You should have worked with 3D graphics and GIS development toolkits, 2D/3D Geometrical modelling experience and Scripting of mathematical or geological problems. Experience in seismic processing, fracture modelling, fault seal analysis, kinematic or geological modelling techniques will serve you well in this role, as would exposure to Machine Learning. CI experience including JIRA, Git, Jenkins, Java, Bash, TestRail. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
08/07/2025
Full time
Geoscience Software Engineer (C++/Qt, Masters or PhD) Guildford, Surrey (On-site) £65000 - £120,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Geology, Physics, Mathematics, Science or Computing. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team with an experienced Geological Software Engineer. You will be working Full time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. This role would essentially suit a Structural Geologist with Software Development skills in C++/Qt framework. Your new role You'll join a well-established business with decades experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. It's a rapidly changing environment and they champion Agile, so it's important you are flexible and appreciate the nature of a business at the cutting edge of security technology. You'll be working to deliver a new suite of highly scalable products and a lot of the requirements are greenfield. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You will be working on Real Time systems driven by large data sets, so we are looking for Engineers with a background in R&D environments with excellent academic qualifications. You role will be diverse and I expect no two days to be the same, the product is market-leading and requires methodical thinkers that are excited by mathematical models, algorithm development, number crunching and research. You will be expected to bring new ideas to the table in whatever guise you join, but with the imminent growth there are Senior and Leadership opportunities to aspire to. It's an internally creative team that champion collaboration, they want constant suggestions of how to re-engineer things, not just work from a brief. What you'll need to succeed You must have an Advanced degree (Masters or PhD) in Science, Maths, Engineering, Geology or Computing to apply. We're looking for 5+ years hands-on experience using C++ and GUI Development using Qt framework and Multithreading/Parallel Programming. You should have worked with 3D graphics and GIS development toolkits, 2D/3D Geometrical modelling experience and Scripting of mathematical or geological problems. Experience in seismic processing, fracture modelling, fault seal analysis, kinematic or geological modelling techniques will serve you well in this role, as would exposure to Machine Learning. CI experience including JIRA, Git, Jenkins, Java, Bash, TestRail. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Scientific Software Engineers (C++, Masters or PhD) Guildford, Surrey (On-site) £65000 - £120,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Engineering, Science, Computing, Geology or Mathematics disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team with 2 experienced Scientific/C++ Software Engineers. You will be working Full time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role You'll join a well-established business with decades experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. It's a rapidly changing environment and they champion Agile, so it's important you are flexible and appreciate the nature of a business at the cutting edge of security technology. You'll be working to deliver a new suite of highly scalable products and a lot of the requirements are greenfield. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You will be working on Real Time systems driven by large data sets, so we are looking for Engineers with a background in R&D environments. You role will be diverse and I expect no two days to be the same, the product is market-leading and requires methodical thinkers that are excited by mathematical models, algorithm development, number crunching and research. You will be expected to bring new ideas to the table in whatever guise you join, but with the imminent growth there are Senior and Leadership opportunities to aspire to. It's an internally creative team that champion collaboration, they want constant suggestions of how to re-engineer things, not just work from a brief. What you'll need to succeed You must have an Advanced degree (Masters or PhD) in Science, Maths, Engineering, Geology or Computing to apply. We're looking for 5+ years hands-on experience using C++, ideally with the Qt framework and Multithreading, extending to Data Structures, Algorithms and alike. The key desirable skill is C#/WPF/MVVM development working with GUI's, along with Continuous Integration experience. GPU Development would be beneficial, as would 2D/3D Graphics Development and Continuous Integration knowledge. Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
07/07/2025
Full time
Scientific Software Engineers (C++, Masters or PhD) Guildford, Surrey (On-site) £65000 - £120,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Engineering, Science, Computing, Geology or Mathematics disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team with 2 experienced Scientific/C++ Software Engineers. You will be working Full time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role You'll join a well-established business with decades experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. It's a rapidly changing environment and they champion Agile, so it's important you are flexible and appreciate the nature of a business at the cutting edge of security technology. You'll be working to deliver a new suite of highly scalable products and a lot of the requirements are greenfield. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You will be working on Real Time systems driven by large data sets, so we are looking for Engineers with a background in R&D environments. You role will be diverse and I expect no two days to be the same, the product is market-leading and requires methodical thinkers that are excited by mathematical models, algorithm development, number crunching and research. You will be expected to bring new ideas to the table in whatever guise you join, but with the imminent growth there are Senior and Leadership opportunities to aspire to. It's an internally creative team that champion collaboration, they want constant suggestions of how to re-engineer things, not just work from a brief. What you'll need to succeed You must have an Advanced degree (Masters or PhD) in Science, Maths, Engineering, Geology or Computing to apply. We're looking for 5+ years hands-on experience using C++, ideally with the Qt framework and Multithreading, extending to Data Structures, Algorithms and alike. The key desirable skill is C#/WPF/MVVM development working with GUI's, along with Continuous Integration experience. GPU Development would be beneficial, as would 2D/3D Graphics Development and Continuous Integration knowledge. Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Applied Research Software Engineer (AI/ML, Python/Julia, C++, Masters or PhD) Guildford, Surrey (On-site) £65000 - £140,000 + 25% Bonus, 10% Pension, Private Medical . - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team with an experienced Applied Research Software Engineer. You will be working Full time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. This role would essentially suit someone who sits at the interface of scientific research/R&D and software development. Your new role You will be joining the Innovation Team working on forward looking projects with a focus on high-impact research and early-stage prototyping. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment. You'll be working to deliver a new suite of highly scalable products and a lot of the requirements are greenfield. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You'll collaborate with scientists, engineers, and developers to identify promising ideas and guide their technical evolution. You'll participate in cross-functional design, implementation, testing, and deployment of their software toolkits so will have full life cycle exposure. It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are Senior and Leadership opportunities to aspire to down the line. What you'll need to succeed We're looking for candidates with a Masters or PhD Degree in a STEM or Computing discipline. You must have proven experience working at the interface of research and software development - especially translating prototype code into performant, production-ready implementations. We're looking for 5+ years Proficiency working in/alongside an R&D environment using at least one high-level scientific language (eg, Python, Julia) and one or more compiled systems languages (eg, C, C++, C#). Experience with scientific computing, numerical methods, or computational modelling. Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
07/07/2025
Full time
Applied Research Software Engineer (AI/ML, Python/Julia, C++, Masters or PhD) Guildford, Surrey (On-site) £65000 - £140,000 + 25% Bonus, 10% Pension, Private Medical . - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team with an experienced Applied Research Software Engineer. You will be working Full time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. This role would essentially suit someone who sits at the interface of scientific research/R&D and software development. Your new role You will be joining the Innovation Team working on forward looking projects with a focus on high-impact research and early-stage prototyping. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment. You'll be working to deliver a new suite of highly scalable products and a lot of the requirements are greenfield. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You'll collaborate with scientists, engineers, and developers to identify promising ideas and guide their technical evolution. You'll participate in cross-functional design, implementation, testing, and deployment of their software toolkits so will have full life cycle exposure. It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are Senior and Leadership opportunities to aspire to down the line. What you'll need to succeed We're looking for candidates with a Masters or PhD Degree in a STEM or Computing discipline. You must have proven experience working at the interface of research and software development - especially translating prototype code into performant, production-ready implementations. We're looking for 5+ years Proficiency working in/alongside an R&D environment using at least one high-level scientific language (eg, Python, Julia) and one or more compiled systems languages (eg, C, C++, C#). Experience with scientific computing, numerical methods, or computational modelling. Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Image analysis, machine learning and quantitative computational modelling circa 42k+ with top benefits A prestigious research centre is seeking a talented developer with expertise in image analysis and machine learning to bring their skills to bear on cutting edge research. There is flexibility towards either a purely engineering or research role. You will work on a range of projects relating to image analysis in the life sciences, to advance the state of the art. The team use a variety of evolving and experimental image processing and machine learning techniques, starting from modelling in tools including MATLAB through to development of image analysis (2D, 3D and 4D) and machine learning software in Python. Datasets are vast (terabytes to petabytes) and significant computational power and HPC is available. You will have: A relevant PhD (or equivalent experience), and a good technical degree in a relevant subject, backed by strong A-level grades. Intellectual curiosity, drive, energy and reasoning skills. Team working and an interest in working alongside researchers with diverse backgrounds. Adaptability given rapidly evolving techniques. Strong algorithm development and software engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking, volumetric tiling, voxel imaging, 3D graphics, spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent position at that time. Salary is competitive and benefits are excellent. Flexible hours and hybrid working are available. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27424 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
04/07/2025
Full time
Image analysis, machine learning and quantitative computational modelling circa 42k+ with top benefits A prestigious research centre is seeking a talented developer with expertise in image analysis and machine learning to bring their skills to bear on cutting edge research. There is flexibility towards either a purely engineering or research role. You will work on a range of projects relating to image analysis in the life sciences, to advance the state of the art. The team use a variety of evolving and experimental image processing and machine learning techniques, starting from modelling in tools including MATLAB through to development of image analysis (2D, 3D and 4D) and machine learning software in Python. Datasets are vast (terabytes to petabytes) and significant computational power and HPC is available. You will have: A relevant PhD (or equivalent experience), and a good technical degree in a relevant subject, backed by strong A-level grades. Intellectual curiosity, drive, energy and reasoning skills. Team working and an interest in working alongside researchers with diverse backgrounds. Adaptability given rapidly evolving techniques. Strong algorithm development and software engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking, volumetric tiling, voxel imaging, 3D graphics, spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent position at that time. Salary is competitive and benefits are excellent. Flexible hours and hybrid working are available. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27424 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Job Title: AI Research Engineer
Location: Cambridge, UK
Salary: Competitive, depending on experience
Job Type: Full-time | Permanent
Department: Artificial Intelligence / Research & Development
Role Overview
We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment.
Education
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field.
Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent).
We would consider data science backgrounds with relevant experience.
A degree from a globally recognized institution (Top 200 Global Universities) is required.
Required Skills and Qualifications
Strong analytical and problem-solving skills with a scientific approach to experimentation.
Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation.
Solid understanding of software engineering practices, particularly in the context of ML development.
Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn.
Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Qualifications (Preferred for Senior Roles)
Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI.
Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning.
For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR).
Demonstrated impact in a commercial or applied research setting.
Experience mentoring junior engineers or leading research initiatives.
About Adecco:
Adecco operates as an Employment Agency and is an equal opportunities employer.
We are on the client's supplier list for this role.
Keywords
AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation
01/06/2025
Job Title: AI Research Engineer
Location: Cambridge, UK
Salary: Competitive, depending on experience
Job Type: Full-time | Permanent
Department: Artificial Intelligence / Research & Development
Role Overview
We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment.
Education
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field.
Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent).
We would consider data science backgrounds with relevant experience.
A degree from a globally recognized institution (Top 200 Global Universities) is required.
Required Skills and Qualifications
Strong analytical and problem-solving skills with a scientific approach to experimentation.
Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation.
Solid understanding of software engineering practices, particularly in the context of ML development.
Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn.
Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Qualifications (Preferred for Senior Roles)
Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI.
Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning.
For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR).
Demonstrated impact in a commercial or applied research setting.
Experience mentoring junior engineers or leading research initiatives.
About Adecco:
Adecco operates as an Employment Agency and is an equal opportunities employer.
We are on the client's supplier list for this role.
Keywords
AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation
The Role: Software Developer Location: Cambridge Salary: £65K Do you want to make a real difference and change lives? Want to be part of a team who is at the heart of innovation? Keen to enhance your existing skills? Yes? Great, apply today! Dynamic Minds just might have the perfect opportunity for you! Our client in Cambridge is a leading life sciences business who pride themselves on their past and present success, providing innovative solutions globally. The immeasurable contribution of this business and their ability to deliver life-changing science provides a platform for professionals to realise their ambitions and career goals. We have an opportunity for a Software Developer to join our client on a full-time permanent basis with immediate effect. You will be an integral member of the wider Bioinformatics team, tasked with developing a pipeline for genome assembly curation utilising machine learning methods. On offer is a competitive salary and: Benefits: Inclusive and supportive work environment. Ongoing training and development opportunities Hybrid working Flexible working On-site workplace nursery Enhanced maternity/paternity leave Leisure benefits Private healthcare Cycle to work scheme. Company socials Your Responsibilities: Design, develop and maintain a software pipeline for genome curations through machine learning processes. Collaborate with senior engineers to create and improve existing processes. Document protocols and provide guidance to end users. Work with other lead engineers to design and implement new features. Research new applications in Genome Informatics Test and debug software applications Work with stakeholders to gather requirements and ensure that software applications meet their needs. Your Skills & Experience : PhD in computer science or a related area Proficient in C/C++ under Unix/Linux Competent in large scale scientific computation/simulation Existing knowledge of AI/Machine learning tools and processes Ability to work independently or collaboratively as part of a wider team. Have a strong understanding of software engineering principles. Must have an aptitude to develop software applications that use AI/Machine Learning to solve real-world problems. To be considered for this role, please attach a copy of your up to date CV
10/08/2023
Full time
The Role: Software Developer Location: Cambridge Salary: £65K Do you want to make a real difference and change lives? Want to be part of a team who is at the heart of innovation? Keen to enhance your existing skills? Yes? Great, apply today! Dynamic Minds just might have the perfect opportunity for you! Our client in Cambridge is a leading life sciences business who pride themselves on their past and present success, providing innovative solutions globally. The immeasurable contribution of this business and their ability to deliver life-changing science provides a platform for professionals to realise their ambitions and career goals. We have an opportunity for a Software Developer to join our client on a full-time permanent basis with immediate effect. You will be an integral member of the wider Bioinformatics team, tasked with developing a pipeline for genome assembly curation utilising machine learning methods. On offer is a competitive salary and: Benefits: Inclusive and supportive work environment. Ongoing training and development opportunities Hybrid working Flexible working On-site workplace nursery Enhanced maternity/paternity leave Leisure benefits Private healthcare Cycle to work scheme. Company socials Your Responsibilities: Design, develop and maintain a software pipeline for genome curations through machine learning processes. Collaborate with senior engineers to create and improve existing processes. Document protocols and provide guidance to end users. Work with other lead engineers to design and implement new features. Research new applications in Genome Informatics Test and debug software applications Work with stakeholders to gather requirements and ensure that software applications meet their needs. Your Skills & Experience : PhD in computer science or a related area Proficient in C/C++ under Unix/Linux Competent in large scale scientific computation/simulation Existing knowledge of AI/Machine learning tools and processes Ability to work independently or collaboratively as part of a wider team. Have a strong understanding of software engineering principles. Must have an aptitude to develop software applications that use AI/Machine Learning to solve real-world problems. To be considered for this role, please attach a copy of your up to date CV
MBDA Missile Systems - Together. For the future of defence. Who are we? Image Processing UK plays a meaningful role in the development of MBDA products and technologies. We have a detailed understanding of the interaction between missile subsystems and a direct influence on significant design decisions. Our world-beating algorithms use imaging sensors to provide situational awareness and guide weapons to their target with maximum precision. We are a firm supporter of equal opportunity for all, and proud to be a diverse engineering team. Image Processing UK is a cohesive and innovative department where the creativity and contributions of each individual have real value. As part of our team, you will benefit from an excellent working culture built on individual empowerment and mutual support. What's the opportunity? As a Principal Engineer, you will be a essential team member at an exciting time of growth and opportunity. The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems. The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). Security is a key consideration and as such, the majority of your work will be conducted on-site; a positive result of this is that our office remains a social and collaborative working environment. Nevertheless, there are opportunities for home working depending on the nature of the task. Who are we looking for? Preferably PhD qualified in a related area, either holding or completing the PhD A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar A keen curisity about cutting-edge technologies and their applications Although not essential, relevant experience in either Post-Doctoral or Industry would be highly beneficial. Specific knowledge in any of the following areas is of benefit: Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques: Detection, Classification, Tracking, Siamese Networks Inverse Problems / Computational Imaging: Sparse Coding, Compressive Sensing Machine Learning: Support Vector Machines, Neural Networks Domain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAP What's in it for you? You will play a key role in the development of our complex weapon systems, and gain in-depth knowledge of their design and functionality You will collaborate with other engineers from a broad range of subject areas You will be working on cutting-edge technological innovations You will have the opportunity to work within an international field that has strong links to MBDA sites in France and Germany that will provide the opportunity for European travel You will have the opportunity to attend workshops and conferences both nationally and internationally What to expect: We offer opportunities for career progression, paid overtime (subject to level), bonus scheme, comprehensive pension package, annual salary review, collaborative working environment and excellent on-site facilities. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. We also welcome applicants who are looking for flexible working arrangements. Follow us on LinkedIn (MBDA), Twitter Instagram (lifeatMBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. Please Note: MBDA UK requires all employees to achieve appropriate clearances.
24/09/2022
Full time
MBDA Missile Systems - Together. For the future of defence. Who are we? Image Processing UK plays a meaningful role in the development of MBDA products and technologies. We have a detailed understanding of the interaction between missile subsystems and a direct influence on significant design decisions. Our world-beating algorithms use imaging sensors to provide situational awareness and guide weapons to their target with maximum precision. We are a firm supporter of equal opportunity for all, and proud to be a diverse engineering team. Image Processing UK is a cohesive and innovative department where the creativity and contributions of each individual have real value. As part of our team, you will benefit from an excellent working culture built on individual empowerment and mutual support. What's the opportunity? As a Principal Engineer, you will be a essential team member at an exciting time of growth and opportunity. The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems. The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). Security is a key consideration and as such, the majority of your work will be conducted on-site; a positive result of this is that our office remains a social and collaborative working environment. Nevertheless, there are opportunities for home working depending on the nature of the task. Who are we looking for? Preferably PhD qualified in a related area, either holding or completing the PhD A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar A keen curisity about cutting-edge technologies and their applications Although not essential, relevant experience in either Post-Doctoral or Industry would be highly beneficial. Specific knowledge in any of the following areas is of benefit: Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques: Detection, Classification, Tracking, Siamese Networks Inverse Problems / Computational Imaging: Sparse Coding, Compressive Sensing Machine Learning: Support Vector Machines, Neural Networks Domain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAP What's in it for you? You will play a key role in the development of our complex weapon systems, and gain in-depth knowledge of their design and functionality You will collaborate with other engineers from a broad range of subject areas You will be working on cutting-edge technological innovations You will have the opportunity to work within an international field that has strong links to MBDA sites in France and Germany that will provide the opportunity for European travel You will have the opportunity to attend workshops and conferences both nationally and internationally What to expect: We offer opportunities for career progression, paid overtime (subject to level), bonus scheme, comprehensive pension package, annual salary review, collaborative working environment and excellent on-site facilities. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. We also welcome applicants who are looking for flexible working arrangements. Follow us on LinkedIn (MBDA), Twitter Instagram (lifeatMBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. Please Note: MBDA UK requires all employees to achieve appropriate clearances.
Bring out the best in each other, and yourself, by working together as one In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. Who we are Naturally curious, we are forever connecting and collaborating. Uncovering new insights that equip us to challenge convention and push the boundaries. What we do We are reshaping our organisation to thrive in a complex and ever-changing world. Evolving to become a learning organisation - ready and equipped to embrace the challenges and seize the opportunities that lie ahead. Why we love it You will be valued. Not only for your unique contribution, skills and background, but because we recognise people are our greatest asset. Here we are dedicated to being a Great Place to Work. Global Insights, Analytics & Commercial Excellence Global Insights, Analytics & Commercial Excellence (GIACE) is a strategic function, critical for enabling success in the growth of the BBU business. Our ambition is to build an industry-leading organization, empowering our Commercial teams through the generation of compelling evidence and insights, while ensuring they have the tools and skills to deliver impactful launches that change the practice of medicine for the benefit of patients. Within GIACE, the Insights & Analytics function is organized across three teams and supports both the US and Global organizations: Respiratory Insights, CVRM Insights (Cardiovascular, Metabolic, Renal), and the Insights & Analytics Centre of Excellence (CoE). Insights & Analytics Centre of Excellence The aim of the Insights & Analytics Centre of Excellence (I&ACoE) is to establish industry-leading capabilities across the core areas of analytics, forecasting, reporting, business planning, and insight capabilities. It will utilise, reapply, and advance methodologies in capabilities and operations from Global and US more broadly across geographies. In the area of advanced analytics, the ambition is to accelerate the development and application of advanced analytic methodologies such as Machine Learning and Artificial Intelligence to solve business problems. The CoE also aims to scale and deploy these capabilities in a highly efficient manner so that continuous innovation can be pursued. The Insight Teams and the CoE partner to drive portfolio and brand strategy and performance. Together we strive to uncover deep customer insights in order to drive improved decision-making and business impact. We are looking for leaders who have the passion to drive business results and bring innovation to what we do for greater impact. The Role As a product director in the Global Advanced Analytics (GAA) team you will be responsible for supporting all markets outside the US, mainly Canada, UK, Germany, France, Spain, Italy, China and Japan. In this role you will be responsible for leading the efforts to develop, productionalize, deploy and maintain decision support capabilities that use advanced analytics with an omnichannel approach. The advanced analytics product director is expected to have i) deep technical understanding of advanced analytics methods, ii) broad experience in deploying analytics solutions (including data and infrastructure) and iii) ample experience in building organizational expertise to ease and enable the adoption of advanced analytics by decision makers. The role requires close cooperation with sales, marketing, IT and other cross-functional business partners. Excellent communication and network management skills are expected with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. This position may be required to manage contractors and consultants to complete analytical projects, but will have no direct reports. Key responsibilities Develop a deep understanding of the markets in each country and their data and analytical needs. Provide guidance to internal collaborators on advanced analytics Co-lead GAA's capability/product strategy, synthesizing business needs and advanced analytics expertise into capability/product roadmaps. Lead the development and deployment of strategic capabilities/products built around advanced analytics that create tangible business value. Coordinate across CoE roles and other business functions (sales, marketing, IT, external vendors, etc.) required to efficiently and effectively deliver new analytics capabilities/products Coordinate across markets the development of analytics capabilities to improve commonalities and efficiencies Collaborate with the Data & Insights Specialist on business adoption, and embedding analytics into business processes Find opportunities to evolve analytics capabilities/products and to use them across countries and brands Instil a culture of continuous improvement to refine and enhance existing capabilities. Monitor the external environment to stay up to date on leading advanced analytic capabilities, both within and outside of pharma, which can be applied within the organization. Oversee multiple capability related projects across different countries and markets. Competencies Essential requirements Extensive hands-on experience in application of advanced analytics and statistical methods on large and disparate datasets preferably in the context of Omnichannel marketing, specifically: Statistical Analysis and Modelling: (e.g. Design of Experiments, Time Series Analysis, Regression Analysis, Bayesian methods, etc), Machine Learning and Artificial Intelligence Extensive experience in deploying (and maintaining) production-grade advanced analytics capabilities. This includes not only the delivery of solutions but also the building of the business ecosystem (processes, organizational structure, change management, etc.) necessary. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills. Desirable Requirements Pharma commercial domain understanding. Experience with omnichannel analytics Experience with Agile methodology within an IT/business environment. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Educational requirements Quantitative Master's or PhD degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Math, Physics, Computer Science or Data Science. Salary: Competitive So, what's next? Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Additional information Our Company Values & Behaviors underpin everything we do so please take a moment to familiarize yourself with them. You may also want to check out our new R&D Video showing how we turn Science into Medicines. Covid-19 Resources More information about our sites: Cambridge, UK Gothenburg, Sweden Gaithersburg, US We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
23/09/2022
Full time
Bring out the best in each other, and yourself, by working together as one In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. Who we are Naturally curious, we are forever connecting and collaborating. Uncovering new insights that equip us to challenge convention and push the boundaries. What we do We are reshaping our organisation to thrive in a complex and ever-changing world. Evolving to become a learning organisation - ready and equipped to embrace the challenges and seize the opportunities that lie ahead. Why we love it You will be valued. Not only for your unique contribution, skills and background, but because we recognise people are our greatest asset. Here we are dedicated to being a Great Place to Work. Global Insights, Analytics & Commercial Excellence Global Insights, Analytics & Commercial Excellence (GIACE) is a strategic function, critical for enabling success in the growth of the BBU business. Our ambition is to build an industry-leading organization, empowering our Commercial teams through the generation of compelling evidence and insights, while ensuring they have the tools and skills to deliver impactful launches that change the practice of medicine for the benefit of patients. Within GIACE, the Insights & Analytics function is organized across three teams and supports both the US and Global organizations: Respiratory Insights, CVRM Insights (Cardiovascular, Metabolic, Renal), and the Insights & Analytics Centre of Excellence (CoE). Insights & Analytics Centre of Excellence The aim of the Insights & Analytics Centre of Excellence (I&ACoE) is to establish industry-leading capabilities across the core areas of analytics, forecasting, reporting, business planning, and insight capabilities. It will utilise, reapply, and advance methodologies in capabilities and operations from Global and US more broadly across geographies. In the area of advanced analytics, the ambition is to accelerate the development and application of advanced analytic methodologies such as Machine Learning and Artificial Intelligence to solve business problems. The CoE also aims to scale and deploy these capabilities in a highly efficient manner so that continuous innovation can be pursued. The Insight Teams and the CoE partner to drive portfolio and brand strategy and performance. Together we strive to uncover deep customer insights in order to drive improved decision-making and business impact. We are looking for leaders who have the passion to drive business results and bring innovation to what we do for greater impact. The Role As a product director in the Global Advanced Analytics (GAA) team you will be responsible for supporting all markets outside the US, mainly Canada, UK, Germany, France, Spain, Italy, China and Japan. In this role you will be responsible for leading the efforts to develop, productionalize, deploy and maintain decision support capabilities that use advanced analytics with an omnichannel approach. The advanced analytics product director is expected to have i) deep technical understanding of advanced analytics methods, ii) broad experience in deploying analytics solutions (including data and infrastructure) and iii) ample experience in building organizational expertise to ease and enable the adoption of advanced analytics by decision makers. The role requires close cooperation with sales, marketing, IT and other cross-functional business partners. Excellent communication and network management skills are expected with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. This position may be required to manage contractors and consultants to complete analytical projects, but will have no direct reports. Key responsibilities Develop a deep understanding of the markets in each country and their data and analytical needs. Provide guidance to internal collaborators on advanced analytics Co-lead GAA's capability/product strategy, synthesizing business needs and advanced analytics expertise into capability/product roadmaps. Lead the development and deployment of strategic capabilities/products built around advanced analytics that create tangible business value. Coordinate across CoE roles and other business functions (sales, marketing, IT, external vendors, etc.) required to efficiently and effectively deliver new analytics capabilities/products Coordinate across markets the development of analytics capabilities to improve commonalities and efficiencies Collaborate with the Data & Insights Specialist on business adoption, and embedding analytics into business processes Find opportunities to evolve analytics capabilities/products and to use them across countries and brands Instil a culture of continuous improvement to refine and enhance existing capabilities. Monitor the external environment to stay up to date on leading advanced analytic capabilities, both within and outside of pharma, which can be applied within the organization. Oversee multiple capability related projects across different countries and markets. Competencies Essential requirements Extensive hands-on experience in application of advanced analytics and statistical methods on large and disparate datasets preferably in the context of Omnichannel marketing, specifically: Statistical Analysis and Modelling: (e.g. Design of Experiments, Time Series Analysis, Regression Analysis, Bayesian methods, etc), Machine Learning and Artificial Intelligence Extensive experience in deploying (and maintaining) production-grade advanced analytics capabilities. This includes not only the delivery of solutions but also the building of the business ecosystem (processes, organizational structure, change management, etc.) necessary. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills. Desirable Requirements Pharma commercial domain understanding. Experience with omnichannel analytics Experience with Agile methodology within an IT/business environment. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Educational requirements Quantitative Master's or PhD degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Math, Physics, Computer Science or Data Science. Salary: Competitive So, what's next? Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Additional information Our Company Values & Behaviors underpin everything we do so please take a moment to familiarize yourself with them. You may also want to check out our new R&D Video showing how we turn Science into Medicines. Covid-19 Resources More information about our sites: Cambridge, UK Gothenburg, Sweden Gaithersburg, US We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Site Name: London The Stanley Building Posted Date: Sep At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a p assionate AI/ML E ngineer who wish es to turn their talents to the application of active learning to the healthcare sector. You will be working in a research-focused team on building products on the topics of active learning and creating data efficient models, to support multiple large-scale projects within AI/ML. In addition, the Engineer will learn about the pharmaceutical industry and software engineering, and translate their research into tools that aid discovery and development of transformational medicines and vaccines. Why you? Basic Qualification We are looking for professionals with these required skills to achieve our goals: A minimum of an MSc in machine learning , computer science, physics or a related quantitative field . Understanding and application of best practices in Machine Learning, with breadth across the ML stack . Experience with machine learning literature and state-of-the-art modelling approaches. Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Experience in at least one major deep learning framework (PyTorch, TensorFlow). Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in machine learning, computer science, physics or a related quantitative field Relevant scientific publications in AI/ML . Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services. Track record of contributing toopen sourceprojects. Understanding of modern ML Architectures, Platforms, and backend systems. Mentality of commit early and often, metrics before models, and shipping high quality production code. Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and well-being . Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness . LI-GSK # GSKAIML2022 GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
23/09/2022
Full time
Site Name: London The Stanley Building Posted Date: Sep At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a p assionate AI/ML E ngineer who wish es to turn their talents to the application of active learning to the healthcare sector. You will be working in a research-focused team on building products on the topics of active learning and creating data efficient models, to support multiple large-scale projects within AI/ML. In addition, the Engineer will learn about the pharmaceutical industry and software engineering, and translate their research into tools that aid discovery and development of transformational medicines and vaccines. Why you? Basic Qualification We are looking for professionals with these required skills to achieve our goals: A minimum of an MSc in machine learning , computer science, physics or a related quantitative field . Understanding and application of best practices in Machine Learning, with breadth across the ML stack . Experience with machine learning literature and state-of-the-art modelling approaches. Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Experience in at least one major deep learning framework (PyTorch, TensorFlow). Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in machine learning, computer science, physics or a related quantitative field Relevant scientific publications in AI/ML . Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services. Track record of contributing toopen sourceprojects. Understanding of modern ML Architectures, Platforms, and backend systems. Mentality of commit early and often, metrics before models, and shipping high quality production code. Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and well-being . Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness . LI-GSK # GSKAIML2022 GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Cambridge, USA - Massachusetts - Waltham, USA - New Jersey - Trenton, USA - Pennsylvania - Upper Providence Posted Date: Jun 6 2022 The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DSDE) team within GSK's Pharmaceutical R&D organization. There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows :Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data :with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2ecode traceability and data provenance :Increasing assurance of data integrity through automation, integration. Improving engineering efficiency :Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would be driven by data engineering innovation and better resource utilization. We are looking for experienced Senior DevOps Engineers to join our growing Data Ops team. As a Senior Dev Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code Define Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Observability (monitoring, alerting, logging, tracing, etc.) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Audit as a service Senior DevOpsEngineers take full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. Successful Senior DevOpsEngineers are developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/container-based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools (e.g.GitOps, Jenkins,CircleCI, Azure DevOps, etc.), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow Programming in Python. Scala orGo Embedding agile software engineering (task/issue management, testing, documentation, software development lifecycle, source control, etc.) Leveraging major cloud providers, both via Kubernetesorvia vendor-specific services Authentication and Authorization flows and associated technologies (e.g.OAuth2 + JWT) Common distributed data tools (e.g.Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Masters in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 5 years job experience (or PhD plus 3 years job experience) Experience with DevOps tools and concepts (e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps /etc.)Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture (e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc.) Experience with search / indexing systems (e.g. Elasticsearch) Expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience with building and designing a DevOps-first way of working Experience with building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
23/09/2022
Full time
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Cambridge, USA - Massachusetts - Waltham, USA - New Jersey - Trenton, USA - Pennsylvania - Upper Providence Posted Date: Jun 6 2022 The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DSDE) team within GSK's Pharmaceutical R&D organization. There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows :Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data :with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2ecode traceability and data provenance :Increasing assurance of data integrity through automation, integration. Improving engineering efficiency :Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would be driven by data engineering innovation and better resource utilization. We are looking for experienced Senior DevOps Engineers to join our growing Data Ops team. As a Senior Dev Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code Define Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Observability (monitoring, alerting, logging, tracing, etc.) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Audit as a service Senior DevOpsEngineers take full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. Successful Senior DevOpsEngineers are developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/container-based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools (e.g.GitOps, Jenkins,CircleCI, Azure DevOps, etc.), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow Programming in Python. Scala orGo Embedding agile software engineering (task/issue management, testing, documentation, software development lifecycle, source control, etc.) Leveraging major cloud providers, both via Kubernetesorvia vendor-specific services Authentication and Authorization flows and associated technologies (e.g.OAuth2 + JWT) Common distributed data tools (e.g.Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Masters in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 5 years job experience (or PhD plus 3 years job experience) Experience with DevOps tools and concepts (e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps /etc.)Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture (e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc.) Experience with search / indexing systems (e.g. Elasticsearch) Expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience with building and designing a DevOps-first way of working Experience with building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence, Warren NJ Posted Date: Aug The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DS D E) team within GSK's Pharmaceutical R&D organisation . There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2 e code traceability and data provenance: Increasing assurance of data integrity through automation, integration Improving engineering efficiency: Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would b e driven by data engineering innovation and better resource utilization. We are looking for an experienced Sr. Data Ops Engineer to join our growing Data Ops team. As a Sr. Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas : Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering team s across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code D efine Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Ob servabilty (monitoring, alerting, logging, tracing, ...) Enable quality engineering through KPIs and c ode coverage and quality checks Standardise GitOps /declarative software development lifecycle Audit as a service Sr. DataOpsEngineerstake full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. A successfulSr.DataOpsEngineeris developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/ container based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools ( e.g. GitOps , Jenkins, CircleCI , Azure DevOps, ...), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow P rogramming in Python. Scala or Go Embedding agile s oftware engineering ( task/issue management, testing, documentation, software development lifecycle, source control, ) Leveraging major cloud providers, both via Kubernetes or via vendor-specific services Authentication and Authorization flows and associated technologies ( e.g. OAuth2 + JWT) Common distributed data tools ( e.g. Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: Bachelors degree in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 7 years job experience or Masters degree with 5 Years of experience (or PhD plus 3 years job experience) Deep experience with DevOps tools and concepts ( e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps / ...) Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture ( e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc) Experience with search / indexing systems ( e.g. Elasticsearch) Deep expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience building and designing a DevOps-first way of working Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
23/09/2022
Full time
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence, Warren NJ Posted Date: Aug The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DS D E) team within GSK's Pharmaceutical R&D organisation . There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2 e code traceability and data provenance: Increasing assurance of data integrity through automation, integration Improving engineering efficiency: Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would b e driven by data engineering innovation and better resource utilization. We are looking for an experienced Sr. Data Ops Engineer to join our growing Data Ops team. As a Sr. Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas : Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering team s across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code D efine Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Ob servabilty (monitoring, alerting, logging, tracing, ...) Enable quality engineering through KPIs and c ode coverage and quality checks Standardise GitOps /declarative software development lifecycle Audit as a service Sr. DataOpsEngineerstake full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. A successfulSr.DataOpsEngineeris developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/ container based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools ( e.g. GitOps , Jenkins, CircleCI , Azure DevOps, ...), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow P rogramming in Python. Scala or Go Embedding agile s oftware engineering ( task/issue management, testing, documentation, software development lifecycle, source control, ) Leveraging major cloud providers, both via Kubernetes or via vendor-specific services Authentication and Authorization flows and associated technologies ( e.g. OAuth2 + JWT) Common distributed data tools ( e.g. Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: Bachelors degree in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 7 years job experience or Masters degree with 5 Years of experience (or PhD plus 3 years job experience) Deep experience with DevOps tools and concepts ( e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps / ...) Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture ( e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc) Experience with search / indexing systems ( e.g. Elasticsearch) Deep expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience building and designing a DevOps-first way of working Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
The Facebook Reality Labs (FRL) organisation at Facebook is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, FRL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started.Our Mixed Reality (XR) organization in Zurich is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Facebook's AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial , Calibration and more.In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualisation and human interaction. As well there are opportunities to collaborate with researchers in Facebook Reality Labs (FRL) and Facebook AI Research (FAIR). Computer Vision Engineer Responsibilities: Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons. Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into product. Collaborate with cross-functional engineering and research teams from Facebook Reality Labs (FRL) and Facebook AI Research (FAIR)in computer vision, machine learning, and graphics. Participate in cutting edge research in computer vision that can be applied to AR/VR product development. Define projects for other engineers to possibly solve and achieve impact based on your direction Minimum Qualifications: BSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field. 3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems. 3+ years of experience engineering in C++ and/or Python Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation Sensor Fusion Generative models such as GANs Pose estimation: Body, Facial, Hand or Eye Tracking Dense 3D reconstruction Object detection, segmentation and tracking Scene understanding/ Semantic Segmentation Photorealistic rendering Factory, HW, Camera or Online Calibration Preferred Qualifications: MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. 2+ years of industry experience working on projects such as: real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering. Developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware) Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks and/or GANs. Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc. Applications and resumes to be submitted in English.
23/09/2022
Full time
The Facebook Reality Labs (FRL) organisation at Facebook is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, FRL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started.Our Mixed Reality (XR) organization in Zurich is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Facebook's AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial , Calibration and more.In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualisation and human interaction. As well there are opportunities to collaborate with researchers in Facebook Reality Labs (FRL) and Facebook AI Research (FAIR). Computer Vision Engineer Responsibilities: Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons. Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into product. Collaborate with cross-functional engineering and research teams from Facebook Reality Labs (FRL) and Facebook AI Research (FAIR)in computer vision, machine learning, and graphics. Participate in cutting edge research in computer vision that can be applied to AR/VR product development. Define projects for other engineers to possibly solve and achieve impact based on your direction Minimum Qualifications: BSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field. 3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems. 3+ years of experience engineering in C++ and/or Python Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation Sensor Fusion Generative models such as GANs Pose estimation: Body, Facial, Hand or Eye Tracking Dense 3D reconstruction Object detection, segmentation and tracking Scene understanding/ Semantic Segmentation Photorealistic rendering Factory, HW, Camera or Online Calibration Preferred Qualifications: MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. 2+ years of industry experience working on projects such as: real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering. Developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware) Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks and/or GANs. Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc. Applications and resumes to be submitted in English.
Job Description Reading Scientific Services Ltd (RSSL) is a cutting-edge Contract Research Organisation (CRO), providing research, analysis and consultancy to the food and pharmaceutical sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 60 countries. In 2021, we've been recognised as Employer of the Year and Business of the Year at the Thames Valley Business Awards, and in past years have achieved OBN's Best CRO and Women in Business Enlightened Employer. Enriched by our parent company Mondelēz International, our diverse team includes 22 nationalities from 300 members, creating a family feel as we strive towards our mission of science enhancing lives. Role Overview This Senior Scientist I role is a thought leadership position within RSSL's Functional Ingredient's department, utilising chromatography techniques - primarily LC-MS, HPLC and Ion Chromatography - conduct routine and investigative analyses on a range of pharmaceutical and food products to GMP and UKAS regulations, providing method development and problem solving complex cases. While it does not directly line manage, it is a senior position within the team responsible for providing expertise to other members of the lab. How you will contribute You will provide technical direction and leadership-which includes training and mentoring junior team members-in the laboratory to ensure that complex projects are completed on time and with the appropriate analytical and regulatory standards. In this role, you will review and approve scientific reports, method development and validations, authorize competencies in your area of expertise and independently perform complex method development and design validations protocols. In addition, you will maintain and troubleshoot lab equipment, ensure a clean, tidy and safe working environment, and perform and approve risk assessments. Excellent communication skills will be required of you because you will write technical reports, check data, offer interpretations of results and interact with internal and external holders using influencing and presentation skills to present project proposals and results. What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Laboratory requirements and practices Analytical technology in your area of expertise and the desire to develop in-depth and broader technical expertise Scientific understanding and the ability to independently conduct chemical analysis in relevant area Verbal and written communication skills with the ability to build your network and technical credibility with external clients and internal teams Problem solving and planning resources to maintain a consistent workflow to deliver projects Organizational skills, including time management and priority setting More about this role This senior analyst role is based within the Functional Ingredients laboratory and focuses primarily on method development and validations of complex food and pharmaceutical matrices using HPLC and LCMS. In addition this role will also involve investigative and routine analysis of products using chromatography techniques. Indepentently manage workload and train junior members of the team as required. Client contact and administrative support for laboratory management. Play a key role in ensuring that projects are performed and supervised effectively and accurately within agreed timescales and to appropriate quality standards. Education / Certifications: Educated to Degree or PhD in a relevant scientific discipline or equivalent relevant experience in a laboratory. Job specific requirements Technical Perform successful method development using both LCMS & HPLC on complex matrices. Provide high quality customer service at all times by ensuring effective organisation of assigned workload, integrity of analytical data generated and timely/accurate provision of results. Provide Technical direction within own area of expertise within the team. Perform a range of analysis using liquid chromatography techniques independently. Design and perform complex method development and validation protocols. Perform maintenance and troubleshooting of lab equipment. Provide Technical direction within own area of expertise within the team. Perform data checking and provide interpretation of results for routine testing. Generate certificate analysis or external interpretive reports. Expert user of generic and specific software packages require for the role Provide training and supervise junior staff in routine activities and methods and interpretation. Take responsibility for elements of specific projects and/or specific areas of general laboratory/sample administration and assign housekeeping tasks as required. Will be expected to work in different laboratories if the demand is require Communication & Influence To liase with clients, business development and line management to ensure effective communication of project proposals and results. Participate in client and stake holders meetings as required Deliver internal presentations across groups and to technical stakeholders Manage small projects or defined areas of larger projects Work as part of an efficient analytical team Leadership and supervision Supervise a team of Scientists and Technicians Plan own workload and plan routine projects for junior staff Train junior members of the team as required. QEHS Work to the highest standards of safety and quality by ensuring that appropriate COSHHs, risk assessments and SOPs are understood and followed. To complete assigned quanlity actions on a timely manner, including review and approval Write and approve SOPs and Test Methods Generation and approval of Risk Assesments and COSHH Understand and provide technical regulatory leadership in client audits To maintain a clean, tidy and safe working environment. To understand and work to the requirements of GMP and UKAS. Ensure training records are accurate. Company: Reading Scientific Services Limited No Relocation support available Business Unit Summary Reading Scientific Services, Ltd. (RSSL) is a cutting-edge contract research organization (CRO), providing research, analysis and consultancy to the food and pharmaceutical sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 60 countries. We were recognized in 2019 as an Enlightened Employer, Women in Business and Thames Valley Tech finalists and in 2018, one of our family members earned the Food & Drink Federation's Scientist of the Year. Enriched by our parent company, Mondelēz International, our diverse team of 300 includes 23 nationalities, creating a family feel as we strive toward our mission of "Science Enhancing Lives." Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytical Science Science & Engineering
23/09/2022
Full time
Job Description Reading Scientific Services Ltd (RSSL) is a cutting-edge Contract Research Organisation (CRO), providing research, analysis and consultancy to the food and pharmaceutical sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 60 countries. In 2021, we've been recognised as Employer of the Year and Business of the Year at the Thames Valley Business Awards, and in past years have achieved OBN's Best CRO and Women in Business Enlightened Employer. Enriched by our parent company Mondelēz International, our diverse team includes 22 nationalities from 300 members, creating a family feel as we strive towards our mission of science enhancing lives. Role Overview This Senior Scientist I role is a thought leadership position within RSSL's Functional Ingredient's department, utilising chromatography techniques - primarily LC-MS, HPLC and Ion Chromatography - conduct routine and investigative analyses on a range of pharmaceutical and food products to GMP and UKAS regulations, providing method development and problem solving complex cases. While it does not directly line manage, it is a senior position within the team responsible for providing expertise to other members of the lab. How you will contribute You will provide technical direction and leadership-which includes training and mentoring junior team members-in the laboratory to ensure that complex projects are completed on time and with the appropriate analytical and regulatory standards. In this role, you will review and approve scientific reports, method development and validations, authorize competencies in your area of expertise and independently perform complex method development and design validations protocols. In addition, you will maintain and troubleshoot lab equipment, ensure a clean, tidy and safe working environment, and perform and approve risk assessments. Excellent communication skills will be required of you because you will write technical reports, check data, offer interpretations of results and interact with internal and external holders using influencing and presentation skills to present project proposals and results. What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Laboratory requirements and practices Analytical technology in your area of expertise and the desire to develop in-depth and broader technical expertise Scientific understanding and the ability to independently conduct chemical analysis in relevant area Verbal and written communication skills with the ability to build your network and technical credibility with external clients and internal teams Problem solving and planning resources to maintain a consistent workflow to deliver projects Organizational skills, including time management and priority setting More about this role This senior analyst role is based within the Functional Ingredients laboratory and focuses primarily on method development and validations of complex food and pharmaceutical matrices using HPLC and LCMS. In addition this role will also involve investigative and routine analysis of products using chromatography techniques. Indepentently manage workload and train junior members of the team as required. Client contact and administrative support for laboratory management. Play a key role in ensuring that projects are performed and supervised effectively and accurately within agreed timescales and to appropriate quality standards. Education / Certifications: Educated to Degree or PhD in a relevant scientific discipline or equivalent relevant experience in a laboratory. Job specific requirements Technical Perform successful method development using both LCMS & HPLC on complex matrices. Provide high quality customer service at all times by ensuring effective organisation of assigned workload, integrity of analytical data generated and timely/accurate provision of results. Provide Technical direction within own area of expertise within the team. Perform a range of analysis using liquid chromatography techniques independently. Design and perform complex method development and validation protocols. Perform maintenance and troubleshooting of lab equipment. Provide Technical direction within own area of expertise within the team. Perform data checking and provide interpretation of results for routine testing. Generate certificate analysis or external interpretive reports. Expert user of generic and specific software packages require for the role Provide training and supervise junior staff in routine activities and methods and interpretation. Take responsibility for elements of specific projects and/or specific areas of general laboratory/sample administration and assign housekeeping tasks as required. Will be expected to work in different laboratories if the demand is require Communication & Influence To liase with clients, business development and line management to ensure effective communication of project proposals and results. Participate in client and stake holders meetings as required Deliver internal presentations across groups and to technical stakeholders Manage small projects or defined areas of larger projects Work as part of an efficient analytical team Leadership and supervision Supervise a team of Scientists and Technicians Plan own workload and plan routine projects for junior staff Train junior members of the team as required. QEHS Work to the highest standards of safety and quality by ensuring that appropriate COSHHs, risk assessments and SOPs are understood and followed. To complete assigned quanlity actions on a timely manner, including review and approval Write and approve SOPs and Test Methods Generation and approval of Risk Assesments and COSHH Understand and provide technical regulatory leadership in client audits To maintain a clean, tidy and safe working environment. To understand and work to the requirements of GMP and UKAS. Ensure training records are accurate. Company: Reading Scientific Services Limited No Relocation support available Business Unit Summary Reading Scientific Services, Ltd. (RSSL) is a cutting-edge contract research organization (CRO), providing research, analysis and consultancy to the food and pharmaceutical sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 60 countries. We were recognized in 2019 as an Enlightened Employer, Women in Business and Thames Valley Tech finalists and in 2018, one of our family members earned the Food & Drink Federation's Scientist of the Year. Enriched by our parent company, Mondelēz International, our diverse team of 300 includes 23 nationalities, creating a family feel as we strive toward our mission of "Science Enhancing Lives." Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytical Science Science & Engineering
Facebook's products give people new ways to look after themselves and those they care about. The Health Technologies team supports this mission to discover, develop, and deliver clinically validated health and wellness tools that have the opportunity to improve public health outcomes, at Facebook scale.Our team is seeking computer vision, signal/image processing, and health technology scientists and engineers who are slightly impatient and willing to face down their fear of failure to accomplish bold things. A successful candidate in this role is self-driven, passionate, and able to execute consistently in a fast-paced environment. You'll work closely with our multidisciplinary team of product managers, engineers, clinicians and researchers to develop novel health and wellness products, from inception to deployment. Engineering duties include algorithm design, numerical software development, systems integration, clinical data analysis, machine learning-based signal classification, and transformation. The ideal candidate has strong communication skills, and demonstrated experience in shipping innovative health-related algorithms and systems. Algorithm Specialist - Health Tech Responsibilities: Identify critical computational technologies related to product direction Develop and validate fair and robust algorithms in a digital health setting with focus on error analysis Deploy and update health algorithms at scale Algorithm development and deployment Data cleaning needed for algorithm testing and validation Document and communicate design, results, and algorithms Drive quantitative analysis of algorithms, results, and system designs Minimum Qualifications: PhD in algorithm development in a quantitative field such as machine learning, computer science, signal processing, image processing physics, computer vision or numerical computational, or MS/MA degree with additional years of relevant experience Proficiency in designing and implementing algorithmic solutions tailored to health and biomedical related indicators Fluent in Python or C++ Experience communicating across a diverse cross-functional organization
19/09/2022
Full time
Facebook's products give people new ways to look after themselves and those they care about. The Health Technologies team supports this mission to discover, develop, and deliver clinically validated health and wellness tools that have the opportunity to improve public health outcomes, at Facebook scale.Our team is seeking computer vision, signal/image processing, and health technology scientists and engineers who are slightly impatient and willing to face down their fear of failure to accomplish bold things. A successful candidate in this role is self-driven, passionate, and able to execute consistently in a fast-paced environment. You'll work closely with our multidisciplinary team of product managers, engineers, clinicians and researchers to develop novel health and wellness products, from inception to deployment. Engineering duties include algorithm design, numerical software development, systems integration, clinical data analysis, machine learning-based signal classification, and transformation. The ideal candidate has strong communication skills, and demonstrated experience in shipping innovative health-related algorithms and systems. Algorithm Specialist - Health Tech Responsibilities: Identify critical computational technologies related to product direction Develop and validate fair and robust algorithms in a digital health setting with focus on error analysis Deploy and update health algorithms at scale Algorithm development and deployment Data cleaning needed for algorithm testing and validation Document and communicate design, results, and algorithms Drive quantitative analysis of algorithms, results, and system designs Minimum Qualifications: PhD in algorithm development in a quantitative field such as machine learning, computer science, signal processing, image processing physics, computer vision or numerical computational, or MS/MA degree with additional years of relevant experience Proficiency in designing and implementing algorithmic solutions tailored to health and biomedical related indicators Fluent in Python or C++ Experience communicating across a diverse cross-functional organization
Our Water & Environment business employs around 1,900 people with an impressively broad range of specialist skills and provides a focus for our work on flood and coastal risk management. We work both within the UK and internationally to identify sustainable solutions to some of the world's most challenging water and environmental issues, including developing resilience to flooding both for now and with future climate change. Technology plays a crucial role in our work on flood resilience, and our growing Hydroinformatics team forms a hub between Jacobs' extensive domain knowledge and the company's digital expertise. We are dedicated to developing and applying the latest research and best practice through innovative data analysis, software tools and solutions to help solve the tough challenges that our clients and internal teams face. As well as being the No.1 provider of flood risk management services in the UK, Jacobs is also a leading product developer. Our Flood Modeller product is used 24/7 for flood forecasting in England, Wales and Scotland, providing early warning of flooding to homeowners, businesses and emergency responders. Our award winning first-of-a-kind Flood Cloud service provides a bespoke 'Software as a Service' solution for flood modelling on the Cloud. About the opportunity We are looking for a numerate and enthusiastic candidate with proven experience in research, flood risk analysis and the application of technology to solve problems, together with good written and oral communication skills. You will primarily be working on a range of flood and water projects and products, working as part of an integrated, forward thinking and highly skilled team with the opportunity to collaborate with key industry experts. Assessing, developing and implementing flood risk, water, economics and asset management methods. Applying data analytics and software automation alongside domain knowledge. Working directly with internal and external clients. Seeking and implementing technical innovation. Taking ownership and responsibility for the quality of project work to meet the highest standards. BSc/BEng degree (or equivalent) in engineering, maths, science, computing or similar. Proven ability in research, preferably industrial research in the flood or water sectors. Proven ability in software development, with demonstrable knowledge in one or more of: Python, R, JavaScript, SQL, PHP, C# or Fortran. Power user of desktop GIS software, e.g. ArcGIS and/or QGIS. Desirable: MSc/PhD in relevant technical areas will be an advantage. Technical expertise in flood risk analysis or CFD, preferably including UK-standard flood modelling software (e.g. Flood Modeller, TUFLOW). Effective communication of data and its meaning through visualisation. Experience of working with ESRI and/or open source geospatial technology stacks, e.g. ArcGIS Online and ArcGIS Portal; PostGIS and GeoServer. Experience of scalable data science and high-performance computing in the cloud. Have good verbal skills when communicating with stakeholders including technical and non-technical parties - experience of delivering training is an advantage. Highly flexible and self-motivated towards improving team and personal performance. Have a can-do attitude and can identify and deliver innovative solutions to difficult challenges. Skilled at collaborative working, with good interpersonal skills and able to communicate effectively with clients, stakeholders and colleagues. A flexible team player, able to work with different project teams locally and across remote teams. Commercial awareness and evidence of ability to deliver tasks to time and budget. Keen to learn and apply new skills. Why Jacobs? We clear the way for inventive thinking, so you have the support, means and space to deliver the boldest solutions for the extraordinary and every day. Jacobs. A world where you can. Our Culture: We're invested in you and your success. Our values stand on a foundation of safety, integrity, inclusion and diversity. We put people at the heart of our business and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees. We aim to make inclusion and diversity core attributes of our identity, embedded in all our employment and business practices in all locations. We know that if we are inclusive, we're more connected, and if we are diverse, we're more creative. Jacobs partners with VERCIDA to help us attract and retain diverse talent. For greater online accessibility please visit to view and access our roles. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role. If you have any queries regarding the application process, please contact the team here . Successful candidates will be asked to complete a Baseline Personnel Security Standard Pre-Employment check and will be required to undergo various checks including: Identity, Right to Work; Employment/Education History and Criminal Record. If you are unable to meet this and any associated criteria, then your employment may be delayed or rejected.
01/02/2022
Full time
Our Water & Environment business employs around 1,900 people with an impressively broad range of specialist skills and provides a focus for our work on flood and coastal risk management. We work both within the UK and internationally to identify sustainable solutions to some of the world's most challenging water and environmental issues, including developing resilience to flooding both for now and with future climate change. Technology plays a crucial role in our work on flood resilience, and our growing Hydroinformatics team forms a hub between Jacobs' extensive domain knowledge and the company's digital expertise. We are dedicated to developing and applying the latest research and best practice through innovative data analysis, software tools and solutions to help solve the tough challenges that our clients and internal teams face. As well as being the No.1 provider of flood risk management services in the UK, Jacobs is also a leading product developer. Our Flood Modeller product is used 24/7 for flood forecasting in England, Wales and Scotland, providing early warning of flooding to homeowners, businesses and emergency responders. Our award winning first-of-a-kind Flood Cloud service provides a bespoke 'Software as a Service' solution for flood modelling on the Cloud. About the opportunity We are looking for a numerate and enthusiastic candidate with proven experience in research, flood risk analysis and the application of technology to solve problems, together with good written and oral communication skills. You will primarily be working on a range of flood and water projects and products, working as part of an integrated, forward thinking and highly skilled team with the opportunity to collaborate with key industry experts. Assessing, developing and implementing flood risk, water, economics and asset management methods. Applying data analytics and software automation alongside domain knowledge. Working directly with internal and external clients. Seeking and implementing technical innovation. Taking ownership and responsibility for the quality of project work to meet the highest standards. BSc/BEng degree (or equivalent) in engineering, maths, science, computing or similar. Proven ability in research, preferably industrial research in the flood or water sectors. Proven ability in software development, with demonstrable knowledge in one or more of: Python, R, JavaScript, SQL, PHP, C# or Fortran. Power user of desktop GIS software, e.g. ArcGIS and/or QGIS. Desirable: MSc/PhD in relevant technical areas will be an advantage. Technical expertise in flood risk analysis or CFD, preferably including UK-standard flood modelling software (e.g. Flood Modeller, TUFLOW). Effective communication of data and its meaning through visualisation. Experience of working with ESRI and/or open source geospatial technology stacks, e.g. ArcGIS Online and ArcGIS Portal; PostGIS and GeoServer. Experience of scalable data science and high-performance computing in the cloud. Have good verbal skills when communicating with stakeholders including technical and non-technical parties - experience of delivering training is an advantage. Highly flexible and self-motivated towards improving team and personal performance. Have a can-do attitude and can identify and deliver innovative solutions to difficult challenges. Skilled at collaborative working, with good interpersonal skills and able to communicate effectively with clients, stakeholders and colleagues. A flexible team player, able to work with different project teams locally and across remote teams. Commercial awareness and evidence of ability to deliver tasks to time and budget. Keen to learn and apply new skills. Why Jacobs? We clear the way for inventive thinking, so you have the support, means and space to deliver the boldest solutions for the extraordinary and every day. Jacobs. A world where you can. Our Culture: We're invested in you and your success. Our values stand on a foundation of safety, integrity, inclusion and diversity. We put people at the heart of our business and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees. We aim to make inclusion and diversity core attributes of our identity, embedded in all our employment and business practices in all locations. We know that if we are inclusive, we're more connected, and if we are diverse, we're more creative. Jacobs partners with VERCIDA to help us attract and retain diverse talent. For greater online accessibility please visit to view and access our roles. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role. If you have any queries regarding the application process, please contact the team here . Successful candidates will be asked to complete a Baseline Personnel Security Standard Pre-Employment check and will be required to undergo various checks including: Identity, Right to Work; Employment/Education History and Criminal Record. If you are unable to meet this and any associated criteria, then your employment may be delayed or rejected.
Jobs - Frequently Asked Questions
Use the location filter to find IT jobs in cities like London, Manchester, Birmingham, and across the UK.
Entry-level roles include IT support technician, junior developer, QA tester, and helpdesk analyst.
New jobs are posted daily. Set up alerts to be notified as soon as new roles match your preferences.
Key skills include problem-solving, coding, cloud computing, networking, and familiarity with tools like AWS or SQL.
Yes, many employers offer training or junior roles. Focus on building a strong CV with relevant coursework or personal projects.
