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
285
Salary range
£59k – £250k
Hiring companies
52

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

£59k – £250k

Based on advertised midpoints across the 58 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
24% of listings advertise a salary.
By seniority
£k base
Mid
52
253
5 jobs
Senior
65
190
21 jobs
Lead
70
178
6 jobs
Live jobs

285 live roles

See all 285 roles →

Applied AI Architect, Education

This role involves serving as the senior technical advisor for education-sector clients, guiding them from AI exploration to production adoption. The Applied AI Architect designs secure, scalable solutions using OpenAI’s models, aligns technical strategies with institutional goals, and leads cross-functional teams to deliver measurable impact in teaching, research, and operations. The role requires deep technical expertise, stakeholder engagement across academic and administrative domains, and a strong commitment to responsible AI deployment.

OpenAI London, United Kingdom
Hybrid Permanent

Member of Technical Staff - RL Environments

Build and refine reinforcement learning environments to train and evaluate AI agents for enterprise applications. Design tasks, synthetic data pipelines, and verifiers while collaborating with modeling and product teams to close capability gaps. Work in a security-first AI company with a focus on measurable agentic performance and scalable evaluation systems.

Cohere London, United Kingdom
Hybrid Permanent

Software Engineer, Privacy Engineering (Lawful Access)

Build and operate secure backend systems and data pipelines for lawful data access request workflows, translating legal and operational requirements into auditable, privacy-preserving technical solutions. Focus on end-to-end ownership, least-privilege access, and improving the safety and efficiency of sensitive data handling processes with strong human oversight.

OpenAI London, United Kingdom
Permanent

Technical Program Manager, AI Delivery for Public Sector & Defence, UK

This role involves leading end-to-end technical program delivery for AI deployments within UK public sector and defence organisations. The individual will act as a bridge between Cohere’s advanced AI capabilities and government stakeholders, managing complex procurement, security, compliance, and integration requirements. Success requires navigating air-gapped environments, high-stakes governance, and multi-team coordination to ensure responsible, secure, and scalable AI adoption.

Cohere London, United Kingdom
Hybrid Permanent Clearance Required

Frontend Engineer

This role involves building client-facing web applications to visualise insights from AI and machine learning models, working closely with data scientists and designers. The engineer will help establish frontend standards, maintain deployment infrastructure, and create reusable component libraries. Based in London with hybrid working, the role supports high-impact public sector projects and requires occasional on-site work with government clients.

Faculty London, United Kingdom
Hybrid Permanent Clearance Required

Lead Machine Learning Engineer

Leads the technical direction of complex AI/ML projects, designing scalable production systems and guiding engineering teams in high-risk environments. Focuses on building robust ML infrastructure, CI/CD pipelines, and deploying AI platforms for government and public sector clients. Provides architectural leadership and mentors engineers while driving innovation in responsible AI.

Faculty London, United Kingdom
Hybrid Permanent Clearance Required

Senior Front Office Engineer- Leading Global Energy Commodities Trading

This role involves partnering with traders and analysts to optimize trading processes, building scalable Python services and APIs, and designing cloud-native tools for the Front Office platform. You will work in a fast-paced, data-driven environment, focusing on systematic trading and risk management.

eFinancialCareers London, United Kingdom
On-site Permanent

Software Engineering Manager - Machine Learning- Systematic Quant Fund

This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will drive technical direction and integrate advanced ML capabilities into high-stakes systems within a deeply technical environment.

eFinancialCareers 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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