Machine Learning Jobs

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Software Engineer, AI Libraries

Design and build scalable Python libraries and tools that support machine learning workflows for autonomous driving systems. Focus on creating reliable, modular abstractions for data loading, distributed training, and model evaluation used by ML engineers and researchers. Work closely with ML teams to improve the performance and usability of training infrastructure across large GPU clusters and cloud environments.

Wayve London, United Kingdom

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Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and safety of machine learning models throughout Wayve's training and release pipeline. The engineer will establish release standards, validate model performance between training phases, and collaborate with platform, CI/CD, and evaluation teams to improve reliability and efficiency. The position involves deep engagement with MLOps workflows, automation, and model delivery infrastructure in a high-impact, safety-critical environment.

Wayve London, United Kingdom

Forward Deployed Engineer

This role involves embedding directly with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop technical solutions such as MCP servers, sub-agents, and agent skills while working within complex customer environments. They will also identify repeatable deployment patterns and act as a technical ambassador for Anthropic’s mission, requiring frequent travel and strong cross-functional collaboration.

Anthropic London, United Kingdom £225,000 – £255,000 pa

Applied AI Engineer, Beneficial Deployments (Life Sciences)

This role involves serving as the primary technical advisor to life sciences research institutions, helping them adopt and integrate Claude into their scientific workflows. The Applied AI Architect will translate complex research needs into scalable AI solutions, lead technical enablements, and design cohort-based accelerators to drive broad impact across academia and mission-driven organizations. By bridging technical depth with relationship-building, the role focuses on making AI a seamless part of discovery and development in life sciences.

Anthropic London, United Kingdom £165,000 – £190,000 pa

Lead Machine Learning Engineer - Retail

Lead Machine Learning Engineer to define technical direction and deliver complex AI solutions for retail clients. Design scalable ML systems, mentor engineering teams, and drive innovation through reusable tools and cloud-native architectures. Work in high-risk, ambiguous environments to solve real-world business problems with responsible AI.

Faculty London, United Kingdom

On-site Permanent

Platform Engineer

Design and build secure, scalable cloud infrastructure to support AI and ML workflows in cross-functional teams. Enable data scientists and ML engineers through reusable infrastructure-as-code and best practices. Work with clients to implement cutting-edge solutions using modern DevOps and cloud technologies.

Faculty London, United Kingdom

Hybrid Permanent

Machine Learning Scientist – Sequence Modelling

A Machine Learning Scientist will develop and apply advanced sequence modelling techniques to DNA and genetic data to uncover associations between genetic variants and diseases. The role involves building and evaluating ML models for variant interpretation, gene discovery, and regulatory modelling, in close collaboration with computational and experimental scientists. Work is grounded in real-world therapeutic discovery, leveraging both internal and large-scale external genomics datasets.

Relation Therapeutics London, United Kingdom

Permanent

Member of Technical Staff, Agent Code

Develop and scale cutting-edge code-generating large language models and autonomous agent systems for enterprise applications. Conduct research, implement novel algorithms, and build production-ready frameworks using state-of-the-art compute infrastructure. Collaborate closely with researchers and engineers in a fast-paced, innovation-driven environment focused on advancing AI capabilities.

Cohere London, United Kingdom

Hybrid Permanent

Member of Technical Staff, MLE (UK/EU)

This role involves working directly with enterprise customers to identify critical AI challenges and designing solutions using large language models. You'll bridge the gap between research and production by leading projects from concept to deployment, mentoring engineers, and collaborating across engineering, product, and legal teams. The position emphasizes technical leadership, cross-functional alignment, and innovation in applied machine learning for real-world enterprise applications.

Cohere London, United Kingdom

Hybrid Permanent

Member of Technical Staff, Applied AI

Develop and deploy proprietary generative AI models into pharmaceutical and biotech customer environments, bridging deep technical understanding with production engineering. Collaborate closely with researchers and customer teams to adapt models, build robust ML pipelines, and deliver performant, secure inference systems. The role involves translating scientific requirements into technical solutions and feeding insights back into model development.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will lead technical scoping, build production-grade API integrations, and ensure seamless deployment within enterprise environments. They will also act as a technical liaison, gathering feedback to inform product and research improvements while working on-site with international partners.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Quantitative Analyst

This role involves analysing complex datasets, developing quantitative and statistical models, and applying advanced mathematical techniques to uncover trends and inform decision-making. The analyst will collaborate with developers and technical teams to implement, test, and back-test models in a fast-paced environment. Emphasis is placed on rigorous data analysis, model validation, and clear communication of insights to both technical and non-technical stakeholders.

Spectrum IT Recruitment London, United Kingdom £80,000 – £100,000 pa

AI & CX Experience Designer

This role involves using AI to rethink customer experiences, building AI workflows, and prototyping new services. You'll work on diverse projects, from research to design, and constantly experiment with emerging AI tools to enhance client solutions.

Salt Search London, United Kingdom £75,000 pa

MLOps Engineer

This role involves owning and developing the MLOps infrastructure for a growing AI platform, building and maintaining orchestration pipelines, deploying and managing ML workloads on Kubernetes and cloud platforms, and working closely with data scientists and AI teams to scale deployments.

Harnham - Data and Analytics Recruitment London, United Kingdom £75,000 – £85,000 pa

Machine Learning Engineer - Conversational AI & MLOps

Design and deploy low-latency, production-grade ASR, TTS, LLM, and SLM pipelines for real-time conversational AI applications. Build high-performance APIs with FastAPI and optimise GPU utilisation and cloud infrastructure across AWS, Azure, and GCP. Implement MLOps, CI/CD, and containerisation workflows to support scalable, cost-efficient model deployment and serving in cloud and edge environments.

Robert Walters London, United Kingdom £70,000 – £90,000 pa