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Microsoft UK • London, United Kingdom

Principal Applied Science Manager - Search & Recommendations

Employment type:  Full time


Fully flexible hours

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Job Description


Microsoft's mission is to empower every person and every organization on the planet to achieve more. Microsoft believes that artificial intelligence will play a critical role in accomplishing that mission. The Microsoft Search, Assistant, and Intelligence (MSAI) group is leading this effort. We are working to change the lives and work of hundreds of millions by building deep intelligence into search-, conversational-, and knowledge-powered scenarios that people use every day in Outlook, Teams, Windows, Edge, Office, SharePoint, and OneDrive. By understanding our users' preferences, communication patterns, and context across applications, we can proactively and reactively help users accomplish more with less effort.

We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI. As an Applied Science Manager in MSAI you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research, Azure, and Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.


  • Manage innovative applied science teams in the area of Large Language Models, Information Retrieval, Artificial Intelligence, Machine Learning and Deep Learning.
  • Technical leadership in applied science teams in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
  • Develop and deploy conversational and language understanding models at scale.
  • Push the boundaries of AI platforms through innovation and partnership.
  • Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
  • Support hiring, coaching, mentoring and career development of Applied Scientists and Software Engineers to build inclusive and ambitious applied science focused teams.
  • Collaborate closely with Microsoft Research, Microsoft Turing, Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
  • Support and develop a thriving applied science culture within the MSAI organization that encourages experimentation, scientific process, and innovation.
  • Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.
  • Internalize and champion Microsoft's culture and values.


Required Qualifications:

  • Masters/PhD in Computer Science, Math, Physics, Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, Machine Learning, or Natural Language Processing are considered as well.
  • Proficient years managing research or engineering teams in Machine Learning, Natural Language Processing, Information Retrieval, or related fields.
  • Professional experience developing AI models for scaled production services, with a proven track record of successfully shipping applied research to production
  • Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scale
  • Strong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
  • Grounded in growth mindset, and advocate for diversity and inclusion.
  • Customer obsessed and passionate about product impact.
  • Excellent verbal and written communication skills, with the ability to simplify and explain complex ideas.

Preferred Qualifications:

  • Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • Experience conducting research as part of a research program (in academic or industry settings).
  • Experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via 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.

#MSAI #M365Core

Company benefits

Wellbeing allowance
Health insurance
Dental coverage
Gym membership
Mental health platform access
Buy or sell annual leave
Shared parental leave
Matched pension contribution
Charity donation scheme
Employee assistance programme
Employee discounts
Volunteer days
Fertility treatment leave
Open to compressed hours
Open to job sharing
Fertility benefits
Enhanced sick pay
Enhanced sick days
Compassionate leave
Travel insurance
20 days annual leave + bank holidays
Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Childcare credits
Carer’s leave
Cycle to work scheme
Faith rooms
Annual bonus
Annual pay rises
Company car
Open to part-time employees
Pregnancy loss leave
Life insurance
Equity packages
Financial coaching
Relocation packages
Employees are very happy with their working location freedom
Employees are very happy with the flexibility in the hours they work
Employees are largely happy with the benefits their company offers
Work-life balance
Employees feel that they can switch off quite easily from work
Role modelling
Employees feel that most people work flexibly
Employees feel that they can mostly manage how they get their own work done

Working at Microsoft UK

Company employees

Globally: 220,000

Gender diversity (male:female)


Office locations

London, Reading, Cambridge, Romsey, Manchester, Edinburgh

Hiring Countries

United Kingdom

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024

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