Are you a curious and open-minded undergraduate or Master's student with an interest in software engineering and technologies like Cloud Computing, Machine Learning, Natural Language Processing, Generative AI and AI Agents? Then come and apply your skills and passion for technology at Thomson Reuters TR labs/AI Platform. You will work with a team driving innovation throughout the entire software lifecycle - from defining specifications and architecting designs to writing efficient, maintainable code. It's your chance to contribute to TR software that legal professionals use across the globe. What does TR Labs/AI Platform do? We experiment, we build, we deliver. We obsess over our customers through applied research and development of new products and technologies. In TR Labs/AI Platform, we act fast and learn fast, innovating collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We compete vigorously with a wide range of projects today, while investing in long-term research for the future. Come prepared to challenge your thinking and contribute back by challenging your colleagues! As a Research Engineering Intern, you will be part of a diverse and interdisciplinary global team of experts. You will work with AI practitioners in Machine Learning, Information Retrieval, and Natural Language Processing, as well as Engineering and User Experience Design specialists to drive the company's digital and AI transformation. TR Labs/AI Platform is renowned for consistently delivering successful data-driven AI solutions in support of high-growth products for case law, practical law, and fraud detection. About The Role Develop and Delivery - You will apply modern software development practices to building,testingand delivering high-quality solutions. You will be involved in the entire software development lifecycle. Build Scalable ML Solutions -You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develophigh performing scalablesystems in the context of large online delivery environments. Collaborate - Working on a collaborative cross-functional team of applied scientists and engineers, you will learn from and partner with colleagues across the globe. Innovate -You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas, create Minimum Viable Products, and work on solving real-world challenges. The internship duration at Thomson Reuters In TR Labs/AI Platform is typically six months with a flexible start date aligned with your availability. Proposed timeframe: March-September 2026 (to be discussed). We offer a flexible hybrid working environment, with in-office attendance 3 days a week. About You You are a fit for the Research Engineering Intern role if your background includes: Required qualifications Pursuing a Master's or Bachelor's degree in Computer Science, Information Technology or a related discipline. Proficiency in Python and a deep understanding of related software development stacksand ecosystems. Ability to write clean, reusable, maintainable and well-tested code. Experience with using code collaboration and versioning systems such as GitHub. Desire to learn and embrace new and emerging technologies. Strong communication and collaboration skills. Preferred qualifications Understanding of CI/CD, DevOps, and SDLC concepts for application development. Understanding of Natural Language Processing, and/or Machine Learning methods including Large Language Models. Familiarity with cloud platforms (any of AWS, Azure, Google Cloud) and a basic understanding of MLOps tools and practices. Familiarity working with unstructured datasets and knowledge about tools and techniques for data cleaning and processing. Keen interest in real-world applications and impact. If you are excited about this opportunity, meet most of the above criteria, and are eager to learn, we want to hear from you! What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on
Mar 23, 2026
Full time
Are you a curious and open-minded undergraduate or Master's student with an interest in software engineering and technologies like Cloud Computing, Machine Learning, Natural Language Processing, Generative AI and AI Agents? Then come and apply your skills and passion for technology at Thomson Reuters TR labs/AI Platform. You will work with a team driving innovation throughout the entire software lifecycle - from defining specifications and architecting designs to writing efficient, maintainable code. It's your chance to contribute to TR software that legal professionals use across the globe. What does TR Labs/AI Platform do? We experiment, we build, we deliver. We obsess over our customers through applied research and development of new products and technologies. In TR Labs/AI Platform, we act fast and learn fast, innovating collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We compete vigorously with a wide range of projects today, while investing in long-term research for the future. Come prepared to challenge your thinking and contribute back by challenging your colleagues! As a Research Engineering Intern, you will be part of a diverse and interdisciplinary global team of experts. You will work with AI practitioners in Machine Learning, Information Retrieval, and Natural Language Processing, as well as Engineering and User Experience Design specialists to drive the company's digital and AI transformation. TR Labs/AI Platform is renowned for consistently delivering successful data-driven AI solutions in support of high-growth products for case law, practical law, and fraud detection. About The Role Develop and Delivery - You will apply modern software development practices to building,testingand delivering high-quality solutions. You will be involved in the entire software development lifecycle. Build Scalable ML Solutions -You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develophigh performing scalablesystems in the context of large online delivery environments. Collaborate - Working on a collaborative cross-functional team of applied scientists and engineers, you will learn from and partner with colleagues across the globe. Innovate -You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas, create Minimum Viable Products, and work on solving real-world challenges. The internship duration at Thomson Reuters In TR Labs/AI Platform is typically six months with a flexible start date aligned with your availability. Proposed timeframe: March-September 2026 (to be discussed). We offer a flexible hybrid working environment, with in-office attendance 3 days a week. About You You are a fit for the Research Engineering Intern role if your background includes: Required qualifications Pursuing a Master's or Bachelor's degree in Computer Science, Information Technology or a related discipline. Proficiency in Python and a deep understanding of related software development stacksand ecosystems. Ability to write clean, reusable, maintainable and well-tested code. Experience with using code collaboration and versioning systems such as GitHub. Desire to learn and embrace new and emerging technologies. Strong communication and collaboration skills. Preferred qualifications Understanding of CI/CD, DevOps, and SDLC concepts for application development. Understanding of Natural Language Processing, and/or Machine Learning methods including Large Language Models. Familiarity with cloud platforms (any of AWS, Azure, Google Cloud) and a basic understanding of MLOps tools and practices. Familiarity working with unstructured datasets and knowledge about tools and techniques for data cleaning and processing. Keen interest in real-world applications and impact. If you are excited about this opportunity, meet most of the above criteria, and are eager to learn, we want to hear from you! What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Research Software Engineer to develop and maintain software across the full quantum control stack, enabling high performance operation of both quantum computers and quantum sensors. This role spans low level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings programming expertise, familiarity with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Participate in code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field Master's degree in Engineering, Applied Mathematics, Physics or related field or 2 years of work experience in a scientific domain Experience with modern Python development. Experience in other languages, such as Rust or C++ would be advantageous but not essential. Good verbal and written communication skills, able to effectively share information with technical and non technical staff Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain specific experience in statistics, machine learning, or AMO physics Experience with Linux and virtualization technologies like Docker or Kubernetes Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on real time object detection Experience with databases (relational and non relational) including but not limited to timeseries data, SQL, and ETL processes Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions Experience developing basic GUIs and/or web front end applications EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Mar 23, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Research Software Engineer to develop and maintain software across the full quantum control stack, enabling high performance operation of both quantum computers and quantum sensors. This role spans low level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings programming expertise, familiarity with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Participate in code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field Master's degree in Engineering, Applied Mathematics, Physics or related field or 2 years of work experience in a scientific domain Experience with modern Python development. Experience in other languages, such as Rust or C++ would be advantageous but not essential. Good verbal and written communication skills, able to effectively share information with technical and non technical staff Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain specific experience in statistics, machine learning, or AMO physics Experience with Linux and virtualization technologies like Docker or Kubernetes Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on real time object detection Experience with databases (relational and non relational) including but not limited to timeseries data, SQL, and ETL processes Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions Experience developing basic GUIs and/or web front end applications EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Job description Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd Posted Date: Mar 5 2026. 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 passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher 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. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK's state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research. As a Machine Learning Engineer focusing on applications in oncology, you will be expected to: Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets. Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). • Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field Experience in Python programming and knowledge in machine learning, statistics, and applied math. Familiarity with modern machine learning methods (generative models, representation learning) Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems Experience with at least one Deep Learning framework such as PyTorch Preferred Qualifications: If you have the following characteristics, they would be a plus: PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field. Experience in analyzing real-world and/or clinical data. Experience in incorporating agentic models into ML workflows Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services. Knowledge of cancer biology and precision oncology. Excellent written and verbal communication skills. Ability to digest, synthesize, and implement innovative methods from scientific literature. Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices. Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day. High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus Publication in natural sciences would be a plus # GSKAIML • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. 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
Mar 23, 2026
Full time
Job description Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd Posted Date: Mar 5 2026. 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 passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher 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. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK's state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research. As a Machine Learning Engineer focusing on applications in oncology, you will be expected to: Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets. Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). • Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field Experience in Python programming and knowledge in machine learning, statistics, and applied math. Familiarity with modern machine learning methods (generative models, representation learning) Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems Experience with at least one Deep Learning framework such as PyTorch Preferred Qualifications: If you have the following characteristics, they would be a plus: PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field. Experience in analyzing real-world and/or clinical data. Experience in incorporating agentic models into ML workflows Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services. Knowledge of cancer biology and precision oncology. Excellent written and verbal communication skills. Ability to digest, synthesize, and implement innovative methods from scientific literature. Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices. Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day. High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus Publication in natural sciences would be a plus # GSKAIML • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. 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
Currencies & Emerging Markets - FX Systematic Trading Strategies - Executive Director LONDON, LONDON, United Kingdom Job Identification Job Category Trading Global Population Business Unit Commercial & Investment Bank Posting Date 03/05/2026, 05:05 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Join a dynamic team where your expertise in FX systematic trading will drive innovation and deliver results. This role offers the opportunity to influence global markets and collaborate with talented professionals. You will be empowered to develop and implement cutting edge trading strategies. Make a meaningful impact and advance your career in a supportive, high performing environment. Discover how your skills can shape the future of FX trading. Job Summary As an Executive Director - FX Systematic Trading Strategies in the FX Trading team, you will lead the development and execution of systematic trading strategies. You will collaborate with colleagues to optimise performance and manage risk, while contributing to the team's culture of innovation and excellence. You will have the opportunity to drive strategic initiatives and play a key role in shaping the direction of FX trading. Your insights and leadership will help us deliver value to clients and the wider market. Job Responsibilities Lead the design, development, and implementation of FX systematic trading strategies Collaborate with quantitative researchers and technologists to enhance trading models Monitor and analyse market trends to identify new opportunities Manage risk and ensure compliance with regulatory requirements Optimise trading performance through data-driven decision making Mentor and develop junior team members Drive innovation by integrating new technologies and methodologies Communicate strategy and performance to stakeholders Foster a collaborative and inclusive team environment Contribute to strategic planning and business development Maintain high standards of integrity and professionalism Required Qualifications, Capabilities, and Skills Extensive experience in FX trading and systematic strategy development Strong quantitative and analytical skills Proficiency in programming languages such as Python or C++ Deep understanding of financial markets and trading infrastructure Proven track record of managing risk in a trading environment Ability to lead and collaborate within a diverse team Excellent communication and presentation skills Experience with data analysis and statistical modelling Commitment to ethical and compliant trading practices Ability to drive innovation and adapt to changing market conditions Preferred Qualifications, Capabilities, and Skills Experience with machine learning techniques applied to trading Advanced degree (Master's or PhD or equivalent) in a quantitative field Familiarity with FX market microstructure Experience in mentoring and developing talent Knowledge of regulatory frameworks relevant to FX trading Track record of delivering business growth through innovative strategies Ability to build and maintain relationships with internal and external stakeholders This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Mar 21, 2026
Full time
Currencies & Emerging Markets - FX Systematic Trading Strategies - Executive Director LONDON, LONDON, United Kingdom Job Identification Job Category Trading Global Population Business Unit Commercial & Investment Bank Posting Date 03/05/2026, 05:05 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Join a dynamic team where your expertise in FX systematic trading will drive innovation and deliver results. This role offers the opportunity to influence global markets and collaborate with talented professionals. You will be empowered to develop and implement cutting edge trading strategies. Make a meaningful impact and advance your career in a supportive, high performing environment. Discover how your skills can shape the future of FX trading. Job Summary As an Executive Director - FX Systematic Trading Strategies in the FX Trading team, you will lead the development and execution of systematic trading strategies. You will collaborate with colleagues to optimise performance and manage risk, while contributing to the team's culture of innovation and excellence. You will have the opportunity to drive strategic initiatives and play a key role in shaping the direction of FX trading. Your insights and leadership will help us deliver value to clients and the wider market. Job Responsibilities Lead the design, development, and implementation of FX systematic trading strategies Collaborate with quantitative researchers and technologists to enhance trading models Monitor and analyse market trends to identify new opportunities Manage risk and ensure compliance with regulatory requirements Optimise trading performance through data-driven decision making Mentor and develop junior team members Drive innovation by integrating new technologies and methodologies Communicate strategy and performance to stakeholders Foster a collaborative and inclusive team environment Contribute to strategic planning and business development Maintain high standards of integrity and professionalism Required Qualifications, Capabilities, and Skills Extensive experience in FX trading and systematic strategy development Strong quantitative and analytical skills Proficiency in programming languages such as Python or C++ Deep understanding of financial markets and trading infrastructure Proven track record of managing risk in a trading environment Ability to lead and collaborate within a diverse team Excellent communication and presentation skills Experience with data analysis and statistical modelling Commitment to ethical and compliant trading practices Ability to drive innovation and adapt to changing market conditions Preferred Qualifications, Capabilities, and Skills Experience with machine learning techniques applied to trading Advanced degree (Master's or PhD or equivalent) in a quantitative field Familiarity with FX market microstructure Experience in mentoring and developing talent Knowledge of regulatory frameworks relevant to FX trading Track record of delivering business growth through innovative strategies Ability to build and maintain relationships with internal and external stakeholders This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 21, 2026
Full time
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 21, 2026
Full time
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 21, 2026
Full time
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 21, 2026
Full time
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 21, 2026
Full time
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 20, 2026
Full time
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 20, 2026
Full time
Job Title: Senior Systems Engineer Location: Portsdown Technology Park, Portsmouth, Hybrid, 3 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £56,000 Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You'll take ownership and accountability for task allocation and provide Engineering support to the Tools and Tech Lead to enable suitable planning. You'll collaborate within the team to undertake System and Tools troubleshooting and maintenance, update software and network configuration as required. You'll support and own the generation and execution of requirements, design, testing and deployment of Systems and Tools You'll manage and support System and Software 'Bugs' and collaborate with subcontractors and partners to conduct system updates and provide technical guidance to end users. You'll support Engineering Lifecycle activities, including technical reviews, verification and approval of engineering technical design and documentation. Core duties: You'll bring good experience and knowledge in application of Network, Virtual Machines, Systems and Software-based products You'll have some experience of supporting Configuration Management You'll demonstrate a good understanding and applied experience of the Engineering / System lifecycle You'll have some understanding of IP networks (protocols, switching & routing) The Tools and Tech Team: This is an opportunity for you to join a collaborative team, working across a range of internal and external stakeholders, from customers to nations, within a dynamic and broad scope of work where no two days are the same. There is a wide range of environments and projects in various stages of work, from early stage de risking and experimentation work to full integration a project team onto an infrastructure (physical or virtual) to conduct real live trials. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Mar 18, 2026
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Mar 18, 2026
Full time
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
Mar 18, 2026
Full time
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Mar 17, 2026
Full time
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
Mar 17, 2026
Full time
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Mar 16, 2026
Full time
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
Mar 13, 2026
Full time
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
Huawei Technologies Research & Development (UK) Ltd
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge - Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei's Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities. This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting edge ideas into working prototypes and real world applications. Key Responsibilities Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and othersli> Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding. Design and implement new algorithms for efficient decision making under uncertainty with applications to chemistry, physics, open math problems, and robotics. Collaborate with cross functional teams to integrate research outputs into scalable systems and real world use cases. Explore novel ways to align and enhance AI agents for complex, open ended tasks. Actively engage with the broader research community through publications, talks, and open source contributions. Mentor junior researchers and contribute to the scientific culture of the team. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications.
Mar 13, 2026
Full time
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge - Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei's Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities. This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting edge ideas into working prototypes and real world applications. Key Responsibilities Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and othersli> Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding. Design and implement new algorithms for efficient decision making under uncertainty with applications to chemistry, physics, open math problems, and robotics. Collaborate with cross functional teams to integrate research outputs into scalable systems and real world use cases. Explore novel ways to align and enhance AI agents for complex, open ended tasks. Actively engage with the broader research community through publications, talks, and open source contributions. Mentor junior researchers and contribute to the scientific culture of the team. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications.
London, United Kingdom Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist experienced in Generative AI and large models. What you'll do: You will take the lead in developing machine learning models capable of handling very large datasets across various dimensions. With a commitment to scientific precision, you will design and conduct experiments to validate the technical performance and business impact of your approaches. Collaborating closely with fellow scientists and engineering teams, you will ensure your research is seamlessly integrated into production systems. Key responsibilities: Create machine learning algorithms to solve large scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company's processes. Share findings and insights effectively with both technical and non technical audiences through presentations and reports. Requirements BASICQUALIFICATIONS PhD, or a Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience programming in Java, C++, Python or related language. Experience in building machine learning models for business application. Experience in patents or publications at top tier peer reviewed conferences or journals. PREFERREDQUALIFICATIONS Experience in professional software development. Benefits Immigration support: The company provides support for your immigration process to the United Kingdom. Competitive salary: Enjoy a competitive salary package reflective of your skills and experience. Global experience: Gain international experience by working with a diverse team in a dynamic region.
Mar 13, 2026
Full time
London, United Kingdom Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist experienced in Generative AI and large models. What you'll do: You will take the lead in developing machine learning models capable of handling very large datasets across various dimensions. With a commitment to scientific precision, you will design and conduct experiments to validate the technical performance and business impact of your approaches. Collaborating closely with fellow scientists and engineering teams, you will ensure your research is seamlessly integrated into production systems. Key responsibilities: Create machine learning algorithms to solve large scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company's processes. Share findings and insights effectively with both technical and non technical audiences through presentations and reports. Requirements BASICQUALIFICATIONS PhD, or a Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience programming in Java, C++, Python or related language. Experience in building machine learning models for business application. Experience in patents or publications at top tier peer reviewed conferences or journals. PREFERREDQUALIFICATIONS Experience in professional software development. Benefits Immigration support: The company provides support for your immigration process to the United Kingdom. Competitive salary: Enjoy a competitive salary package reflective of your skills and experience. Global experience: Gain international experience by working with a diverse team in a dynamic region.
