Microsoft jobs in london london city of united kingdom

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We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you\u2019ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.\u00a0 We are looking for distributed systems experts with a scientific mindset. The ideal candidate will be able to build complex systems from the ground up, discover and diagnose causes of suboptimal performance, and contribute to solving scientific and research challenges. Specifically, they should:\u00a0 Excel in programming (especially parallel/concurrent), software engineering, and API design\u00a0 Have experience in large-scale systems, preferably having built some components from scratch.\u00a0 Thrive in a highly collaborative, fast-paced environment\u00a0 Have a high degree of craftsmanship and pay close attention to details\u00a0 Effectively manage multiple responsibilities and can adjust to shifting priorities\u00a0 Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users\u00a0 A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus.\u00a0\u00a0\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs\u00a0 Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments.\u00a0\u00a0 Embody our  culture  of collaboration, innovation, and excellence.\u00a0 Qualifications Required Qualifications: Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python\u00a0 Experience with large-scale software systems and infrastructure.\u00a0 Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.\u00a0 Ability to work collaboratively in a fast-paced, innovative environment.\u00a0 Preferred Qualifications: Background in machine learning research.\u00a0 Experience with large scale distributed AI systems.\u00a0 #copilot #microsoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008484", "isPrivate": false}, {"id": 1970324837008486, "name": "Member of Technical Staff, AI Pretraining Platform", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1758008194, "t_create": 1740415707, "ats_job_id": 1970324837008486, "display_job_id": 1970324837008486, "type": "ATS", "id_locale": "1970324837008486-en", "job_description": "Help build the world\u2019s most advanced training platform at Microsoft AI We are on a mission to create the leading pretraining platform to develop the world\u2019s most capable AI frontier models. This platform will span one of the world\u2019s most foremost\u00a0GPU clusters ,  pushing the boundaries of scale, performance, and reliability.\u00a0 The AI Pre - training Platform team at Microsoft AI is responsible for all aspects of infrastructure including scalability, benchmarking, kernel development, performance optimizations, communications, and fault tolerance to support our model pre-training operations. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models, methods and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:\u00a0 Are passionate about the infrastructure enabling large-scale AI model training\u00a0 Will thrive in a highly collaborative, fast-paced environment\u00a0 Have a high degree of craftsmanship and pay close attention to details\u00a0 Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies\u00a0 Effectively manage multiple responsibilities and can adjust to shifting priorities.\u00a0\u00a0 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities\u00a0 Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data.\u00a0 Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.\u00a0 Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.\u00a0 Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.\u00a0 Embody our  culture  and  values .\u00a0 Required/Minimum Qualifications\u00a0 Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work\u00a0 OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work\u00a0 Experience with HPC (High performance computing) and/ or parallel programming? Experience in the area of pretraining Experience working with GPU clusters Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.\u00a0If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request\u00a0via the  Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #Copilot #MicrosoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008486", "isPrivate": false}, {"id": 1970324837008481, "name": "Member of Technical Staff, AI Data", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1758019315, "t_create": 1740412613, "ats_job_id": 1970324837008481, "display_job_id": 1970324837008481, "type": "ATS", "id_locale": "1970324837008481-en", "job_description": "Help build the world\u2019s most advanced multimodal dataset at Microsoft AI We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment.\u00a0\u00a0 The AI Data team at Microsoft AI is responsible for all aspects of data preparation to support our model pre-training operations, including collecting data from the source, extracting and transforming the most useful data, and understanding the impact of changes to data by training and evaluating new models. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.\u00a0\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:\u00a0 Are passionate about the role of data in large-scale AI model training\u00a0 Will thrive in a highly collaborative, fast-paced environment\u00a0 Have a high degree of craftsmanship and pay close attention to details\u00a0 Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies\u00a0 Effectively manage multiple responsibilities and can adjust to shifting priorities.\u00a0\u00a0 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities\u00a0 Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).\u00a0 Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.\u00a0 Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.\u00a0 Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.\u00a0 Embody our  culture  and  values .\u00a0 Required/Minimum Qualifications  Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work\u00a0 OR equivalent experience. Expertise in large scale data engineering ideally applied to AI Expertise in Spark, Kubernetes or similar.\u00a0 \u00a0#copilot #microsoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008481", "isPrivate": false}, {"id": 1970324837027122, "name": "Member of Technical Staff, AI Pretraining", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438836, "t_create": 1753359801, "ats_job_id": 1970324837027122, "display_job_id": 1970324837027122, "type": "ATS", "id_locale": "1970324837027122-en", "job_description": "Help deliver one of the best foundational models in the world at Microsoft AI. At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:\u00a0 Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects\u00a0 Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making\u00a0 Have experience and/or in-depth understandings about large-scale distributed systems\u00a0 Demonstrate an ability to work collaboratively in a fast-paced, innovative environment\u00a0 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities\u00a0 Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations\u00a0\u00a0 Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack\u00a0\u00a0 Collaborate closely with teams on infrastructure, data, post-training, and multimodality\u00a0 Embody our  culture  and  values .\u00a0 Required/Minimum Qualifications \u00b7 Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 Proven expertise in the area of pretraining Additional or Preferred Qualifications Demonstrated experience in large-scale AI.\u00a0 Passionate about conversational AI and its deployment.\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0\u00a0\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0\u00a0\u00a0 #copilot #microsoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837027122", "isPrivate": false}, {"id": 1970324837028970, "name": "Member of Technical Staff \u2013 Machine Learning, AI Safety  ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438728, "t_create": 1753870687, "ats_job_id": 1970324837028970, "display_job_id": 1970324837028970, "type": "ATS", "id_locale": "1970324837028970-en", "job_description": "Overview As a Member of Technical Staff \u2013 Machine Learning, AI Safety, you will\u00a0develop and implement\u00a0cutting-edge\u00a0safety methodologies and mitigations for\u00a0products that are served to millions of users through Copilot every day.\u00a0Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values.\u00a0You\u00a0may\u00a0be responsible for\u00a0developing new methods to evaluate LLMs, experimenting with data collection techniques,\u00a0implementing safety orchestration methods and mitigations,\u00a0and\u00a0training content classifiers to support the Copilot experience.\u202fWe\u2019re\u202flooking for\u00a0outstanding individuals\u00a0with experience in\u00a0machine learning or machine learning infrastructure who are also\u00a0strong communicators\u00a0and great teammates.\u202fThe right candidate takes the initiative and enjoys building world-class, trustworthy AI\u00a0experiences and products in a fast-paced environment.\u00a0\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Leverage\u00a0expertise\u00a0to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training.\u00a0 Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.\u00a0 Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.\u00a0 Maintain a user-oriented perspective by understanding safety needs from user perspectives,\u00a0validating\u00a0safety approaches through user research, and serving as a trusted advisor on AI safety matters\u00a0 Track advances in AI safety research,\u00a0identify\u00a0relevant\u00a0state-of-the-art\u00a0techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.\u00a0 Embody our culture and values.\u00a0 Qualifications Required Qualifications Bachelor\u2019s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Experience prompting and working with large language models.\u00a0\u00a0\u00a0 Experience writing production-quality Python code.\u00a0\u00a0\u00a0 Preferred Qualifications Demonstrated interest in Responsible AI.\u00a0\u00a0\u00a0 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.\u00a0If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request\u00a0via the  Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837028970", "isPrivate": false}, {"id": 1970324837008485, "name": "Member of Technical Staff, AI Multimodal ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757442058, "t_create": 1740415329, "ats_job_id": 1970324837008485, "display_job_id": 1970324837008485, "type": "ATS", "id_locale": "1970324837008485-en", "job_description": "Help deliver one of the best foundational models in the world at Microsoft AI.\u00a0 At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Multimodal team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:\u00a0 Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects.\u00a0 Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making.\u00a0 Have experience and/or in-depth understandings about large-scale distributed systems.\u00a0 Demonstrate an ability to work collaboratively in a fast-paced, innovative environment.\u00a0 \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone\u2019s attempts whether successful or not.\u00a0 Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis\u00a0 Innovate and iterate over ideas, prototypes, and product.\u00a0 Collaborate closely with teams on infrastructure, data engineering, pre-training, post-trai ning, and product feedback\u00a0 Advance the AI frontier responsibly\u00a0 Embody our  culture  and  values .\u00a0 Required Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work\u00a0 OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work\u00a0 OR equivalent experience.\u00a0 Expertise in multimodal Research with a strong publishing track record #copilot #microsoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008485", "isPrivate": false}, {"id": 1970324837030543, "name": "Member of Technical Staff - Applied AI Software Engineer, Health", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot Health (4HBW)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757521449, "t_create": 1755184230, "ats_job_id": 1970324837030543, "display_job_id": 1970324837030543, "type": "ATS", "id_locale": "1970324837030543-en", "job_description": "Overview At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We\u2019re responsible for ensuring that Microsoft AI\u2019s models and services are useful, trusted and safe across diverse customer health journeys. We\u2019re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research\u2014like MAI-DxO (microsoft.ai/new/the-path-to-medical-superintelligence)\u2014into transformative products for millions of users across copilot.com and Microsoft\u2019s consumer ecosystem. We are looking for software engineers with experience designing and building LLM-based products, and taking them through to production. You will be a key bridge between research and product, and play a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy and useful health information. We are specifically looking for engineers with experience designing, building and running evaluations for LLMs. You will be expected to build eval pipelines, curate and synthesise datasets, design automated analyses and explain results to internal stakeholders. Microsoft\u2019s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities: Be a key cross-functional team member, and close collaborator to product teams. Make significant contributions from translating research into benchmarks to co-authoring product roadmap. Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results. Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks. Improve the tooling that is used internally to implement, run and analyze evaluations. Design internal benchmarking and regression testing capabilities that capture model accuracy, safety and utility. Qualifications Required Qualifications: Bachelor's or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research. Deep experience building with and around LLMs, and experience building tools for analysing and understanding their performance. Including, but not limited to, prompt / context engineering. Experience collaborating in cross functional teams, working through ambiguity to deliver high quality results. Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Preferred qualifications: Experience in healthcare technology, or experience in the health domain. Experience with data engineering - handling text dataset sourcing, curation, and processing tasks at scale. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. 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At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.\u00a0 The AI Post - Training team at Microsoft AI is responsible for all aspects of post - training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. 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