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1,376

Machine Learning jobs in United Kingdom

Machine Learning Scientist II

Expedia, Inc.

Greater London
Hybrid
GBP 80,000 - 100,000
2 days ago
Be an early applicant
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Machine Learning Scientist II, Search Marketing Bidding

Expedia, Inc.

Greater London
On-site
GBP 70,000 - 90,000
2 days ago
Be an early applicant

Machine Learning Engineering Manager

ON.com

Greater London
On-site
GBP 90,000 - 120,000
2 days ago
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Senior Machine Learning Engineer - AI Data Trainer

Alignerr Corp.

United Kingdom
Remote
GBP 80,000 - 100,000
2 days ago
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Senior Machine Learning Expert

Alignerr Corp.

United Kingdom
Remote
GBP 80,000 - 100,000
2 days ago
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Data Scientist

Applied Intuition Inc.

Metropolitan Borough of Solihull
Hybrid
GBP 60,000 - 85,000
2 days ago
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Data Scientist

Transformuk

Greater London
On-site
GBP 45,000 - 65,000
2 days ago
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Clinical Data Engineer

Haringey GP Federation

Greater London
Hybrid
GBP 45,000 - 65,000
2 days ago
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Senior Data Scientist

Hiscox

Greater London
Hybrid
GBP 70,000 - 100,000
2 days ago
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Senior Staff Engineer New Bristol, UK

Applied Intuition Inc.

Bristol
On-site
GBP 60,000 - 90,000
2 days ago
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ML/NLP Engineer for AI-Powered Compliance Platform

Cube LLP

Greater London
On-site
GBP 60,000 - 80,000
2 days ago
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AI Engineer

Cube LLP

Greater London
On-site
GBP 60,000 - 80,000
2 days ago
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Technical Director

Methodfi

Greater London
Hybrid
GBP 100,000 - 125,000
2 days ago
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Lead Data Scientist

TNS, a Kantar Group

Greater London
Hybrid
GBP 70,000 - 90,000
2 days ago
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ML Scientist II: Bidding & Revenue Optimization

Expedia, Inc.

Greater London
On-site
GBP 70,000 - 90,000
2 days ago
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AI/ML Architect

LUXOFT

United Kingdom
On-site
GBP 90,000 - 120,000
Yesterday
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Director, Statistics - Vaccines and Infectious Disease

Glaxosmithkline Consumer Healthcare SA

Greater London
Hybrid
GBP 100,000 - 130,000
2 days ago
Be an early applicant

Data Scientist, Mi-Analytics Cubist (Point72) United Kingdom, United States

Tradermath

United Kingdom
On-site
GBP 60,000 - 80,000
2 days ago
Be an early applicant

Data Scientist, Mi-Analytics Cubist (Point72) United Kingdom, United States

Tradermath

United Kingdom
On-site
GBP 60,000 - 90,000
2 days ago
Be an early applicant

Senior/Staff Data Scientist

AnaVation LLC

Greater London
Hybrid
GBP 80,000 - 100,000
2 days ago
Be an early applicant

AIML Software Engineer, Responsible AI

Glaxosmithkline Consumer Healthcare SA

Greater London
On-site
GBP 60,000 - 80,000
2 days ago
Be an early applicant

Lead Data Scientist - Marketing Science

NEXT Retail Ltd.

Leicester
Hybrid
GBP 70,000 - 90,000
Yesterday
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Space Research Software Engineer

The Open University

Milton Keynes
Hybrid
GBP 40,000 - 60,000
Yesterday
Be an early applicant

Composites Forming Development Engineer

The Knowledge Transfer Network Limited

England
On-site
GBP 30,000 - 38,000
2 days ago
Be an early applicant

AI Product Engineer (KTP Associate)

The Knowledge Transfer Network Limited

Belfast
On-site
GBP 80,000 - 100,000
2 days ago
Be an early applicant

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Similar jobs:

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Machine Learning Scientist II
Expedia, Inc.
Greater London
Hybrid
GBP 80,000 - 100,000
Full time
2 days ago
Be an early applicant

Job summary

A global travel technology company in Greater London is seeking a Machine Learning Scientist II to develop end-to-end ML solutions for personalized recommendations. Ideal candidates must have a Ph.D. or Master’s in a related field and a solid understanding of machine learning algorithms. Responsibilities include implementing ML models, conducting A/B tests, and collaborating with teams to translate business needs into technical solutions. This position offers a full benefits package and an inclusive work environment.

Benefits

Full benefits package
Exciting travel perks
Flexible work model
Career development resources

Qualifications

  • Ph.D. or Master’s in Computer Science, Machine Learning, Mathematics/Statistics, or related field.
  • 2 years of industry experience applying ML to real-world problems.
  • Solid understanding of machine learning algorithms, statistics, and probability theory.
  • Strong problem-solving skills and a quick learning ability.
  • Proficiency in Python with ML libraries like PySpark and TensorFlow.

Responsibilities

  • Develop and implement ML models for recommendations & relevance.
  • Contribute to building ML solutions from data preprocessing to production.
  • Design and run A/B tests to improve algorithm performance.
  • Stay current with the latest ML techniques.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.
  • Communicate methodologies clearly to technical and non-technical audiences.

Skills

Python
Machine Learning algorithms
Problem-solving
Statistics
Communication skills

Education

Ph.D. or Master’s in Computer Science or related field

Tools

PySpark
scikit-learn
TensorFlow
AWS
Hadoop
Job description
Overview

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the team

Expedia Group B2B powers the travel industry by bringing our innovative technology and distribution solutions to partners across the world. Our partners include global financial institutions, corporate managed travel companies, offline travel agents, global travel suppliers (like major airlines), and many more.

We are looking for a Machine Learning Scientist II to join the B2B Machine Learning Science team. In this role, you will build end-to-end ML solutions for personalized recommendations, learning to rank, and relevance optimization. These systems are foundational capabilities that drive substantial value for our partners and Expedia Group. We champion a test-and-learn culture by continuously experimenting, analyzing, and improving the algorithms that have helped make B2B one of the fastest-growing divisions at the company.

This role offers a unique opportunity to gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale. We are looking for an individual who has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact while being mindful of the broader business context in which their work sits, is comfortable with ambiguity, and enjoys the challenge of tackling open-ended problems.

In this role, you will:

  • Develop and implement ML models for recommendations & relevance at scale that can handle high-throughput, low-latency personalized recommendations across diverse partner segments within Expedia Group’s B2B arm.
  • Contribute to building and enhancing end-to-end ML solutions, from data preprocessing to production deployment.
  • Design and run A/B tests and experiments to continuously improve algorithm performance.
  • Stay current with the latest ML techniques and contribute to the team’s technical capabilities.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.
  • Communicate methodologies and results clearly to both technical and non-technical audiences and work across the tech stack to deploy models.

Experience and qualifications:

  • You hold a Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Mathematics/Statistics, or a related field.
  • You have 2 years of industry experience applying ML to real-world problems (desirable but not required).
  • You possess a solid understanding of machine learning algorithms, statistics, and probability theory.
  • You demonstrate strong problem-solving skills, a quick learning ability, and enthusiasm for tackling complex challenges.
  • You are proficient in Python, with experience using PySpark and ML libraries such as scikit-learn, TensorFlow, or Keras.
  • You are familiar with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, GCP), and can effectively communicate technical concepts to non-technical stakeholders.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is care ers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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