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Microsoft UK • London, United Kingdom

Senior Applied Scientist - Search & Recommendation

Employment type:  Full time

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top 3
scores:
83%

Location flexibility

81%

Hours flexibility

79%

Autonomy

Job Description

Microsoft's mission is to empower every person and every organization on the planet to achieve more. We are looking for a scientist who can bring deep applied science expertise and a track record of shipping at-scale, AI-enabled, intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.

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 and personalization into M365 Chat,

As an Applied Scientist in MSAI, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research. 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.

Responsibilities

  • Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in 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.
  • 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 to encourage experimentation, scientific process, and innovation.
  • Embody our culture and values

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.

Preferred Qualifications:

  • Expertise with design and coding
  • Experience of large-scale machine learning
  • Experience working with Machine Learning with expertise in one of the following areas: Search, Recommendation, Personalisation, Ranking, Information Retrieval, Relevance or similar
  • Dedicated C#, or Java or Python or C/C++ coding skills
  • Free thinkers with the ability to socialize and drive their ideas into technology are highly desired.
  • Ph.D. preferred but not required

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Company benefits

pound
Wellbeing allowance
hospital
Health insurance
tooth
Dental coverage
weight lifter
Gym membership
green heart
Mental health platform access
shopping trolley
Buy or sell annual leave
family
Shared parental leave
handshake
Charity donation scheme
baggage claim
Employee assistance programme
money with wings
Employee discounts
heart decoration
Volunteer days
nest with eggs
Fertility treatment leave
stopwatch
Open to compressed hours
handshake
Open to job sharing
nest with eggs
Fertility benefits
face with thermometer
Enhanced sick pay
rescue worker’s helmet
Enhanced sick days
bouquet
Compassionate leave
airplane
Travel insurance
beach with umbrella
20 days annual leave + bank holidays
woman feeding baby
Enhanced maternity leave
man feeding baby
Enhanced paternity leave
baby
Adoption leave
baby
Childcare credits
heart decoration
Carer’s leave
bike
Cycle to work scheme
kneeling person
Faith rooms
moneybag
Annual bonus
chart with upwards trend
Annual pay rises
car
Company car
alien monster
Hackathons
hourglass flowing sand
Open to part-time employees
mending heart
Pregnancy loss leave
ring buoy
Life insurance
chart with upwards trend
Equity packages
bank
Financial coaching
package
Relocation packages
skier
Sabbaticals
moneybag
Enhanced pension match/contribution

We asked employees of Microsoft UK what it's like to work there, and this is what they told us.

Location flexibility
83%
Employees are very happy with their working location freedom
Hours flexibility
81%
Employees are very happy with the flexibility in the hours they work
Benefits
67%
Employees are largely happy with the benefits their company offers
Work-life balance
63%
Employees feel that they can switch off quite easily from work
Role modelling
74%
Employees feel that most people work flexibly
Autonomy
79%
Employees feel that they can mostly manage how they get their own work done

Working at Microsoft UK

Company employees

Globally: 228,000

Gender diversity (male:female)

67:33

Currently Hiring Countries

Ireland

United Kingdom

Office Locations

Awards & Achievements

Family Friendly

Family Friendly

Flexa awards 2025
Career Progression

Career Progression

Flexa awards 2025
Most flexible companies

Most flexible companies

Flexa100 2024