Machine Learning Jobs in London

The UK's financial and tech hub, home to a thriving ecosystem of startups, scaleups, and established tech giants. A hotbed for machine learning talent and innovation.

Open roles
611
Salary range
£28k – £640k
Hiring companies
72

London is the epicentre of the UK's tech and financial sectors, making it a prime location for machine learning professionals. The city hosts a diverse range of companies, from cutting-edge startups to global tech giants, all of which are actively hiring machine learning experts. Whether you're working on natural language processing, computer vision, or reinforcement learning, London offers a dynamic environment with ample opportunities for growth and collaboration. Many roles are hybrid or fully remote, but the city's vibrant tech scene and networking events provide a rich on-site experience.

Salary on the board

£28k – £640k

Based on advertised midpoints across the 97 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
28
45
3 jobs
Junior
38
40
1 job
Mid
30
640
23 jobs
Senior
45
630
44 jobs
Lead
60
160
19 jobs
Director
100
200
3 jobs
Live jobs

611 live roles

See all 611 roles
Amazon logo

Senior Applied Scientist, AWS Automated Reasoning

This role involves solving complex problems in automated reasoning, privacy, and sovereignty using deep scientific expertise. The Senior Applied Scientist will lead the design and delivery of long-term, impactful solutions within AWS, driving technical innovation and cross-organizational influence. Emphasis is placed on strategic problem-solving, mentoring, and advancing the state of the art in rigorous computing systems.

Amazon London, United Kingdom
Hybrid Permanent
Amazon logo

Engineering Manager - Data and Analytics, Network Flow and Technologies

Lead a team of engineers to design and build data infrastructure that models Amazon's global fulfillment network capabilities and constraints. Develop scalable data solutions using AWS technologies to optimize fulfillment planning, reduce transportation costs, and improve delivery speed. Collaborate with cross-functional teams to deliver actionable insights that drive operational efficiency and customer experience improvements.

Amazon London, United Kingdom
Hybrid Permanent

Alpha Capture QR - Selby Jennings

Quantitative Researcher - Alpha Capture (Systematic Strategies)We are working with a leading systematic investment firm looking to hire a Quantitative Researcher to focus on alpha signal generation within a collaborative, research-driven environment. This role sits within a high-performing team responsible...

eFinancialCareers London, United Kingdom

Quantitative Researcher

Develop predictive models using high-frequency and alternative data to generate alpha in equities and futures markets. Work closely with developers to implement and optimize ML-driven trading signals, leveraging cutting-edge techniques in deep learning, NLP, and tree-based models within a collaborative research environment.

eFinancialCareers London, United Kingdom £200,000 pa
On-site Permanent

Data Scientist (Palantir / FDP essential)

Data Scientist (Palantir / FDP essential) - £560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to applyI'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile...

Hays Technology London, United Kingdom £560 pd
Ocado logo

Data Analyst

This role involves analyzing end-to-end customer journeys on Ocado's digital platform to uncover growth opportunities for global retail partners. The analyst will build segmentation models, run A/B tests, and translate complex data into strategic insights, working across ecommerce metrics, product performance, and customer behaviour. Collaboration with product, commercial, and engineering teams is central to driving data-informed decisions in a high-tech retail environment.

Ocado Welwyn Hatfield, United Kingdom
Hybrid Permanent

Staff+ Software Engineer, Developer Productivity

This role focuses on improving the end-to-end developer experience at Anthropic by building and maintaining scalable infrastructure for code development, build, testing, and deployment. The engineer will work across the monorepo ecosystem, CI/CD systems, and developer tooling, with a strong emphasis on reliability, speed, and integration of AI into engineering workflows. The position involves deep technical leadership and shaping foundational systems that support large-scale AI development.

Anthropic London, United Kingdom £325,000 – £390,000 pa
Hybrid Permanent

Applied AI Security Architect

This role involves serving as a trusted security expert for Anthropic's enterprise customers, engaging with CISOs and security leaders to address critical security and compliance questions. You will lead technical discussions on data protection, network architecture, and regulatory standards, and collaborate with internal teams to influence product development and create security-focused materials.

Anthropic London, United Kingdom
On-site Permanent
The scene

Hiring in London

London's tech ecosystem is robust and diverse, with a high concentration of machine learning roles. Companies ranging from fintech startups to global tech giants are actively recruiting, offering a wide array of opportunities for professionals at all levels.

The city's strong network of tech meetups, conferences, and industry events provides a platform for continuous learning and professional growth. Whether you're looking to advance your career or connect with like-minded professionals, London's vibrant tech community is a valuable resource.

FAQs

Common questions

  • London is home to a wide range of companies, including startups, scaleups, and established tech giants. Many financial institutions and research-heavy organisations also hire machine learning experts.

  • Many roles in London offer hybrid or fully remote options, but the city's vibrant tech scene and networking events make on-site work a valuable experience.

  • In-demand skills include expertise in deep learning, natural language processing, and reinforcement learning, as well as proficiency in Python and TensorFlow.

  • For detailed salary information, check the salary section on this page, which is updated with live job listings and market data.

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