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
381
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

381 live roles

See all 381 roles

Deep Learning Researchers / Engineers- Sophisticated Prop Trading Firm

This role involves building a cutting-edge deep learning platform for a prop trading firm, focusing on neural networks, transformers, and LLM-driven research. You'll work in a greenfield environment with significant autonomy to shape the research stack and contribute to multi-modal modelling and modern NLP systems.

eFinancialCareers London, United Kingdom
On-site Permanent
Amazon logo

Sr. Applied Scientist, Alexa International

This role involves developing advanced multilingual speech generation and speech-to-speech models to enhance Alexa's voice experiences across international markets. The scientist will design novel algorithms, optimize model performance, and improve pronunciation accuracy and voice quality for non-English locales. Work includes close collaboration with engineers and product teams to deploy models at scale and drive scientific strategy across global speech quality initiatives.

Amazon London, United Kingdom
On-site Permanent

Senior Data Engineer Short-Term Power Markets- Leading Global Energy Commodities Trading

This role involves integrating and managing real-time data feeds from multiple sources, including market data, grid operations, and internal trading systems. The focus is on enhancing data quality, performance, and availability to support systematic trading and risk management in a fast-paced, data-driven trading environment.

eFinancialCareers London, United Kingdom
On-site Contract

[Expression of Interest] Research Engineer / Scientist, Alignment - London

This role involves conducting experimental research in AI safety and alignment, focusing on risks from advanced AI systems. You'll design and run machine learning experiments—such as testing safety robustness, developing control methods, and stress-testing alignment—to improve the reliability and steerability of AI. The work is highly collaborative, involving contributions to research papers and close coordination with teams like Interpretability and Fine-Tuning.

Anthropic London, United Kingdom £260,000 – £370,000 pa
Hybrid Permanent

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.

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

Applied Scientist Lead - Computer Vision

Lead a team of applied scientists focused on computer vision and machine learning, developing production-grade models for document understanding, vision-language systems, and efficient on-device inference. Work at the intersection of research and product, advancing state-of-the-art techniques like distillation and quantisation while shipping models into global identity verification systems used by banks and fintechs.

Entrust London, United Kingdom
On-site Permanent
Wayve logo

Senior Platform Engineer

This role involves designing and maintaining cloud infrastructure, CI/CD pipelines, and developer tooling on Azure using Terraform, with a focus on RBAC/IAM, Kubernetes, and platform security. The engineer will support a high-autonomy team deploying Wayve’s autonomy stack to OEM partners, building systems that improve developer velocity and deployment safety. Emphasis is placed on internal tooling, observability, and a product mindset to enhance developer experience.

Wayve London, United Kingdom
Hybrid Permanent
Wayve logo

Staff Data Platform Engineer

Design and lead the development of a globally distributed data transfer hub to ingest petabytes of sensor data daily from partner vehicles. Build scalable, reliable data pipelines using Flyte, Kafka, and Azure, with infrastructure-as-code in Terraform. Collaborate directly with OEM partners to enable large-scale AI model training.

Wayve 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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