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- Tasks: Shape the future of Microsoft 365 Copilot with innovative AI solutions.
- Company: Join Microsoft, a leader in technology and innovation.
- Benefits: Industry-leading healthcare, educational resources, and generous time off.
- Why this job: Make a real impact on AI experiences for millions of users.
- Qualifications: Advanced degree in relevant field and experience in AI modelling.
- Other info: Collaborative environment with opportunities for mentorship and growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are looking for a Senior Applied Scientist to help shape the future of Microsoft 365 Copilot, with a focus on Search, Chat and Agent experiences. This role sits within the Microsoft Search, Assistant, and Intelligence (MSAI) organization, which powers the intelligence behind M365 Copilot by combining cutting-edge advances in generative AI with personalized search and recommendation systems.
As a Senior Applied Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You will partner closely with engineering and product teams to innovate, design and evaluate end-to-end AI solutions that serve millions of enterprise users. This is a high-impact role where you will influence technical strategy, shape product direction, and collaborate across Microsoft to deliver AI-powered experiences that help users accomplish more with less effort.
You’ll join a fast-paced, collaborative environment that brings together talent from across Microsoft—including Microsoft Research—to push the boundaries of what’s possible with Large Language Models (LLMs), reasoning systems, real-time orchestration platforms and modern personalized search and recommender systems. 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.
Qualifications
- Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- Experience in SFT (Supervised Fine Tuning) and/or RL (reinforcement learning) modeling experience and/or proven experience of shipping search or recommender systems at scale.
- Proficient years of Python coding skill.
Preferred Qualifications:
- Master’s Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND proficient years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering or related field AND related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- Experience designing and implementing agentic AI models and systems.
M365 Core Responsibilities
- Advance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like reinforcement learning, reasoning and Chain-of-Thought (CoT) optimization, Search, Recommender Systems and LLMs—all while upholding best practices in Responsible AI and Privacy-Preserving ML.
- Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture.
- Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications.
- Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter.
- Lead and mentor: Provide technical leadership to junior scientists and engineers, and scale your learnings across the broader product group.
- Define success: Establish and evolve success metrics that reflect platform and product growth.
- Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
Senior Applied Scientist - Microsoft Search, Assistant, and Intelligence (MSAI) in London employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist - Microsoft Search, Assistant, and Intelligence (MSAI) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Microsoft, especially in the MSAI team. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your Python skills and understanding the latest in AI and machine learning. We want to show that we’re not just knowledgeable but also passionate about the field!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a GitHub repo or a personal website, let’s highlight our experience with SFT, RL, and any search or recommender systems we've worked on. Visuals can make a big impact!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our application to match what Microsoft is looking for in a Senior Applied Scientist.
We think you need these skills to ace Senior Applied Scientist - Microsoft Search, Assistant, and Intelligence (MSAI) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Applied Scientist role. Highlight your experience with SFT, RL, and any relevant projects that showcase your skills in AI and machine learning. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with the goals of Microsoft Search, Assistant, and Intelligence. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any projects related to search or recommender systems, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements and the impact they had!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Microsoft
✨Know Your Stuff
Make sure you brush up on your knowledge of reinforcement learning, SFT, and the latest in AI models. Be ready to discuss your experience with Python coding and how you've applied it in real-world scenarios, especially in search or recommender systems.
✨Showcase Collaboration Skills
This role is all about teamwork, so be prepared to share examples of how you've successfully collaborated with engineering and product teams in the past. Highlight any projects where you’ve driven innovation or improved processes through effective communication.
✨Understand the Company Culture
Microsoft values respect, integrity, and accountability. Familiarise yourself with their mission to empower others and think about how your personal values align with this. Be ready to discuss how you can contribute to a culture of inclusion and growth.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning pipelines and metrics. Practice explaining complex concepts in simple terms, as you may need to demonstrate your ability to mentor junior scientists and engineers during the interview.
