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
393
Salary range
£46k – £168k
Hiring companies
49

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

£46k – £168k

Based on advertised midpoints across the 57 priced listings posted in the last 12 months. Base salary only.

Salary visibility
18% of listings advertise a salary.
By seniority
£k base
Mid
49
118
8 jobs
Senior
47
190
25 jobs
Lead
75
178
5 jobs
Live jobs

393 live roles

See all 393 roles

Entry Level PhD Quant Researchers/Programmers-Statistics/ Maths/ Machine Learning

This role involves researching and optimizing high-frequency trading strategies using advanced technology. You will work closely with experienced quant strategists, developing systems in C++ or Java, analyzing data, and contributing to strategy development as you gain experience.

eFinancialCareers London, United Kingdom
On-site Permanent

Quant Pod Hiring Multiple Macro Researchers / Paris / London - Base Sign On

This role involves developing systematic trading models and alpha strategies across various financial markets, including FX, commodities, fixed income, and equities. You will work on back-testing, improving existing strategies, and evaluating new datasets to enhance the team's investment process and research infrastructure.

eFinancialCareers London, United Kingdom
On-site Permanent
Synthesia logo

Senior Brand Designer, Experiential

This role focuses on translating Synthesia’s brand into global experiential environments, including trade shows, conferences, and customer events. The designer will create cohesive physical and digital experiences, from booth design and signage to motion content and virtual events, ensuring high production quality and brand consistency. They will lead end-to-end projects, collaborate with external vendors, and maintain scalable design systems for international execution.

Synthesia London, United Kingdom
Remote Permanent
PhysicsX logo

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.

PhysicsX London, United Kingdom
Fractile logo

Senior ML Compiler Engineer

Design and develop a high-performance ML compiler stack for AI accelerators, focusing on optimizing large language models. Collaborate closely with hardware, runtime, and ML teams in a full-stack co-design environment. Help define the IR, optimization passes, and execution model for a novel computing architecture.

Fractile London, United Kingdom
Synthesia logo

Engineering Manager (Growth)

Lead a high-impact engineering team focused on user acquisition, activation, and revenue growth through rapid experimentation and optimization of self-service and freemium product pathways. Drive technical strategy at the intersection of product, data, and engineering to improve conversion and user experience. Scale talent and execution velocity while balancing short-term business goals with long-term scalability.

Synthesia London, United Kingdom
Remote Permanent
PhysicsX logo

Principal Machine Learning Infrastructure Engineer

This role focuses on designing and operating scalable machine learning infrastructure for training and serving large physics-based models. You'll work closely with research scientists and ML engineers to optimize distributed training pipelines, improve data I/O performance, and build reliable model serving systems. The position emphasizes systems-level problem-solving, infrastructure automation, and enabling fast, reproducible experimentation on high-performance GPU clusters.

PhysicsX London, United Kingdom
Faculty AI logo

Lead Data Scientist

Lead a team of data scientists to design and deliver high-impact, production-grade AI solutions for clients in highly regulated sectors such as finance and professional services. Drive technical direction, lead complex project scoping, and act as a trusted advisor to clients while shaping best practices and mentoring junior staff. Work across the full project lifecycle from feasibility to deployment, balancing innovation, speed, and reliability in real-world applications of machine learning.

Faculty AI London, United Kingdom
Hybrid 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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