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About the Role

Shape the future of enterprise productivity through cutting-edge Large Language Models (LLMs) and AI-powered experiences in Microsoft 365 Copilot. Drive the development of advanced LLM-based capabilities, reasoning systems, and real-time orchestration platforms, translating state-of-the-art research into impactful experiences for millions of enterprise users. Your work will directly influence product strategy, model quality, and the next generation of intelligent productivity solutions across Microsoft 365.

Responsibilities

Develop scientific approaches for evaluating and improving LLM reasoning, grounding, retrieval and agentic behaviors using offline benchmarking, online experimentation and large-scale telemetry analysis.
Drive complex technical investigations, model evaluations and experimentation to improve quality, reliability, latency, cost efficiency and user experience.
Define and execute rigorous evaluation methodologies, offline benchmarks, online experimentation frameworks and data-driven approaches for measuring model and product performance.
Partner closely with engineering and product teams to translate research innovations into scalable, production-ready systems used by millions of customers.
Deeply analyze model behavior, failure modes, grounding effectiveness, reasoning quality, tool use, retrieval performance and orchestration outcomes to identify opportunities for improvement.
Develop and advance approaches for agentic workflows, multi-step reasoning, planning, retrieval-augmented generation (RAG), tool orchestration and reinforcement-learning-based optimization.
Review technical designs, experimental results and implementation approaches to ensure high standards of scientific rigor, reproducibility and engineering excellence.
Collaborate with researchers, applied scientists and engineers to solve challenging technical problems spanning LLMs, machine learning, deep learning, information retrieval and human-AI interaction.
Stay current with advances in Large Language Models, reasoning systems, agent architectures, reinforcement learning and applied AI, incorporating relevant innovations into production systems.

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated professional related experience (e.g., statistics predictive analytics, research).
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated professional related experience (e.g., statistics, predictive analytics, research).
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated professional related experience (e.g., statistics, predictive analytics, research).
Equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements.
Pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Skills

Applied AI
Machine Learning
Deep Learning
Large Language Models (LLMs)
Information Retrieval
Natural Language Processing
Recommendation Systems
Agentic AI models and systems

Location

United Kingdom

Work Type

Full-time

Experience Level

Senior
IC4

Education Level

Bachelor's Degree
Master's Degree
Doctorate
Ph.D. in Computer Science, Math, Physics, Statistics, or related areas

Salary/Compensations

£ 74,700.00 - £ 122,600.00 per year

Benefits

Certain roles may be eligible for benefits and other compensation.

About the Company

Microsoft’s 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.

Equal Opportunity

Microsoft is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.