Microsoft jobs in london london city of united kingdom

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Embody our culture of collaboration, innovation, and excellence. 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 Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Ability to work collaboratively in a fast-paced, innovative environment. Background in machine learning research. 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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. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack Collaborate closely with teams on infrastructure, data, post-training, and multimodality Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837027122", "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": 1758766182, "t_create": 1740415707, "ats_job_id": 1970324837008486, "display_job_id": 1970324837008486, "type": "ATS", "id_locale": "1970324837008486-en", "job_description": "Are passionate about the infrastructure enabling large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. 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 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 Experience with HPC (High performance computing) and/ or parallel programming? Experience in the area of pretraining Experience working with GPU clusters Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. 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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 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 Experience with HPC (High performance computing) and/ or parallel programming? Experience in the area of pretraining Experience working with GPU clusters Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. 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Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. 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 OR equivalent experience. Experience prompting and working with large language models. Experience writing production-quality Python code. Demonstrated interest in Responsible AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837028970", "isPrivate": false}, {"id": 1970324837085287, "name": "Member of Technical Staff, AI Post-Training", "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": 1761235837, "t_create": 1758545631, "ats_job_id": 1970324837085287, "display_job_id": 1970324837085287, "type": "ATS", "id_locale": "1970324837085287-en", "job_description": "Are passionate about shipping models into products that users will love Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities * 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 Expertise in post-training of AI models Demonstrated experience in large-scale AI. 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. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Proven research track record in a domain related field supported by exceptional papers Develop data collection, evaluation, and finetuning methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837085287", "isPrivate": false}, {"id": 1970324837086146, "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": 1761318512, "t_create": 1759172529, "ats_job_id": 1970324837086146, "display_job_id": 1970324837086146, "type": "ATS", "id_locale": "1970324837086146-en", "job_description": "Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. 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 OR equivalent experience. Expertise in large scale data engineering ideally applied to AI Expertise in Spark, Kubernetes or similar. Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837086146", "isPrivate": false}, {"id": 1970324837140404, "name": "Member of Technical Staff - Health AI", "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": 1762049308, "t_create": 1761306885, "ats_job_id": 1970324837140404, "display_job_id": 1970324837140404, "type": "ATS", "id_locale": "1970324837140404-en", "job_description": "MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in healthcare. You will work in a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modelling stack to make models that are as useful and safe for health as possible. Deep, full-stack expertise in designing and evaluating AI applications. Evidence of this may include research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks. Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. 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 OR equivalent experience. Demonstrated full-stack experience in large-scale AI. Empirical evidence of this in the form of top tier publications, open source contributions, and/or on-the-job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Ability to flex across research and engineering boundaries, wearing a bit of both hats. 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. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140404", "isPrivate": false}, {"id": 1970324837140128, "name": "Technical Program Manager - Responsible AI", "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": 1762451764, "t_create": 1761178214, "ats_job_id": 1970324837140128, "display_job_id": 1970324837140128, "type": "ATS", "id_locale": "1970324837140128-en", "job_description": "Overview Microsoft AI is at the forefront of the responsible development and global deployment of AI to make everyone more informed, capable, and supported. We are creating unique, beautiful and powerful products that will change lives. We are proud of what we build, how we build it and that our products will define the AI era. It is a time of huge change in the AI landscape, and this role will put you right in the heart of it.  As a  Technical Program Manager  for Responsible AI, you will work closely with teams across Microsoft considering all aspects of AI safety, governance and risk, ensuring that our principles and commitments are met in a timely and product-first manner.  This role, based within a highly agile interdisciplinary team, will allow you to grow and further your deep understanding of all aspects of AI development and deployment both within Microsoft and beyond.  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 achieve 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 As a Program Manager for Responsible AI, you will:  Work as part of a fast-growing, interdisciplinary team of Responsible AI practitioners and with cross-functional teams in the day-to-day delivery and development of Copilot, ensuring that Microsoft\u2019s Responsible AI principles and practices are satisfactorily embedded; Partner closely with colleagues in the Office of Responsible AI and Microsoft\u2019s Corporate, External and Legal Affairs (CELA) team to develop, refine and apply innovative governance processes, responsive in part to a dynamic technical and regulatory landscape; Serve as a liaison between technical and non-technical stakeholders to ensure shared understanding of Responsible AI objectives;  Develop and deliver training materials and resources to support Responsible AI awareness and adoption.\u00a0 Qualifications Required Qualifications Experience working in the Generative AI field in an engineering, product, policy or technical program management role OR equivalent experience; Bachelor's Degree AND/OR experience in product/technical program management OR equivalent experience; Experience working on complex cross-functional projects;  Strong organisational and communication skills; and Ability to navigate ambiguity and adapt to rapidly changing environments and demands.  Additional or Preferred Qualifications Experience working on complex legal or governance projects in a fast-paced technology setting; and Knowledge of relevant regulatory frameworks such as the EU AI Act, GDPR, or similar.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140128", "isPrivate": false}, {"id": 1970324837140701, "name": "Data Science Lead - Health AI", "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": 1762533305, "t_create": 1761671155, "ats_job_id": 1970324837140701, "display_job_id": 1970324837140701, "type": "ATS", "id_locale": "1970324837140701-en", "job_description": "At Microsoft AI, we are inventing an AI Companion for everyone \u2013 an AI designed with real personality and emotional intelligence that\u2019s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products. 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 looking for a deeply technical and mission-driven  Data Science Lead  to build the data foundations powering our health AI companion. You\u2019ll architect, scale, and optimize the pipelines, datasets, and metrics frameworks that help us understand user behavior, evaluate model performance, and measure health impact. This role sits at the intersection of engineering, analytics, and applied AI\u2014translating raw signals into insights that shape product decisions and ensure our systems are safe, effective, and grounded in evidence. You\u2019ll partner closely with product, model, and clinical teams to define data models, build robust ETL workflows, and enable a high-quality analytics environment that supports experimentation, evaluation, and decision-making at scale. Key Responsibilities Design, build, and maintain high-quality data pipelines and models that power analytics, dashboards, and product experimentation across health AI experiences Develop and optimize scalable ELT/ETL processes to extract data from multiple structured and unstructured sources (including telemetry, model outputs, and healthcare data integrations) Partner with product and clinical counterparts to define source-of-truth datasets and standardized metrics for user engagement, safety, and health outcome evaluation Implement monitoring, validation, and alerting systems to ensure data reliability, lineage, and reproducibility across the analytics stack Collaborate with ML engineers and model evaluation teams to operationalize evaluation pipelines\u2014supporting automated scoring, HealthBench metrics, and experiment tracking Define and maintain data schemas, transformation logic, and documentation to promote transparency and reusability across teams Drive continuous improvement in data quality, discoverability, and observability Contribute to shaping data infrastructure strategy and tooling to support next-generation health AI systems Required Qualifications Bachelor\u2019s or Master\u2019s degree in Computer Science, Data Engineering, Data Science, or related field, OR similar experience. Experience with scaled consumer products Experience building and maintaining production-grade data pipelines, warehouses, and analytics platforms Strong proficiency with SQL and modern data-stack technologies (e.g., dbt, Airflow, Databricks, BigQuery, Snowflake, Spark, or similar) Experience designing efficient data models and ETL processes supporting analytical workloads and experimentation Proven ability to translate ambiguous data needs into scalable engineering solutions Familiarity with data governance, schema design, and principles of data privacy and compliance (HIPAA, de-identification, PHI handling) Experience working with Python for data processing, analytics, or pipeline orchestration Preferred Qualifications Experience working in healthcare, digital health, or regulated data environments Exposure to large language model (LLM) or generative AI systems, particularly in analytics or evaluation contexts Strong understanding of experiment design, metrics definition, and instrumentation in AI-driven products Familiarity with tools for workflow orchestration, version control, and CI/CD (e.g., Airflow, Dagster, GitHub Actions) Comfort collaborating cross-functionally with product, analytics, and clinical teams in a fast-paced environment Curiosity about how AI systems can responsibly improve access to care and health outcomes", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140701", "isPrivate": false}], "debug": {}, "count": 19, "countFilterByMatchScore": null, "location_user": ["london london city of united kingdom", "remote,United Kingdom"], "location_used": "london london city of united kingdom", "locationInsights": null, "showWizard": false, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": 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