Machine Learning Jobs

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

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

Applied AI Engineer, Codex

This role involves working directly with engineering teams to design and implement AI-powered software development workflows using Codex. The engineer will build prototypes, integrations, and evaluation systems, often leveraging Codex in their own development process. They will guide clients from experimentation to production deployment, ensuring measurable improvements in developer productivity and software delivery.

OpenAI London, United Kingdom

Hybrid Permanent

Software Engineer, Model Deployment- ChatGPT Engineering

Design and operate software managing large-scale GPU clusters for ChatGPT inference, building automation and observability systems to improve fleet efficiency, reliability, and developer productivity. Work across infrastructure, research, and product teams to optimize compute utilization and build AI-powered operational tooling.

OpenAI London, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

This role involves building and optimizing production-scale machine learning systems for document classification and extraction, focusing on fraud detection in government-issued IDs. The engineer will work with VLMs/LLMs and traditional ML models, design training and inference pipelines, and integrate solutions into customer-facing products. Collaboration with applied science, product, and operations teams is key to delivering accurate, real-time document verification experiences.

Entrust London, United Kingdom

Hybrid Permanent

Data Scientist

This role involves developing and maintaining machine learning models for logistics and supply chain optimisation within Ocado’s advanced automated grocery fulfilment system. The Data Scientist will work on demand forecasting, drive-time predictions, and supplier reliability, using deep learning and time-series techniques. They will build scalable data pipelines, deploy production models, and collaborate with engineering and product teams to enhance operational efficiency for global partners.

Ocado London, United Kingdom

Control Red Team - Research Engineer/Research Scientist

This role involves designing and running machine learning experiments to evaluate the effectiveness of AI control measures, such as monitors and sandboxes, by developing adversarial attacks and conducting security analyses. The work combines empirical research with real-world testing of frontier AI systems, using LLMs to automate evaluation loops and building scalable infrastructure for high-quality, reusable results. The position is embedded within a red team focused on identifying vulnerabilities in AI safety systems to inform both developers and government policy.

AI Security Institute London, United Kingdom

Software Engineer - Cyber & Autonomous Systems Team

This role involves working with cutting-edge technologies to evaluate the capabilities of AI models in cybersecurity and autonomy. Responsibilities include building evaluation infrastructure, developing analysis tooling, leading testing exercises, and delivering production-quality Python code. The work has a direct impact on shaping the UK government's understanding of AI cyber capabilities and informing safety standards.

AI Security Institute London, United Kingdom

Research Engineer (LLM Performance), London

This role involves advancing large language models for drug discovery by optimizing post-training methods, scaling frontier AI systems, and solving performance bottlenecks in distributed training and inference. The engineer will collaborate with interdisciplinary teams to translate research into production-ready systems, applying low-precision techniques and performance optimization strategies to real-world drug design challenges. Work focuses on improving model efficiency and scalability within a mission-driven environment combining AI and computational biology.

Isomorphic Labs London, United Kingdom

Application Support Engineer (Third Party Systems), London

The role involves deploying, securing, and maintaining self-hosted third-party applications within cloud environments, with a strong focus on automation, security, and scalability. You'll manage the full lifecycle of internal tools, including CI/CD pipelines, Kubernetes orchestration, identity integration, and continuous security scanning. The position bridges operations, integration, and security teams to ensure reliable, compliant, and high-performing platform services.

Isomorphic Labs London, United Kingdom

Sr. Solutions Architect

This role involves working closely with Databricks' largest and most complex customers to design and implement data solutions on the Databricks Lakehouse platform. The candidate will lead technical engagements, develop customer-specific strategies, and act as a trusted advisor during the sales and adoption process. Activities include leading proofs-of-concept, delivering technical workshops, and collaborating with cross-functional teams to drive platform adoption across diverse industries.

Databricks London, United Kingdom

Sr. Solutions Engineer

This role involves leading technical sales engagements by conducting hands-on proofs-of-concept and evaluations for digital-native companies adopting Databricks' Data Intelligence Platform. The Senior Solutions Engineer will collaborate with engineering and sales teams to demonstrate solutions across data engineering, machine learning, and Generative AI, using real-world data and modern cloud architectures. The position emphasizes technical credibility, customer problem-solving, and rapid validation in high-velocity sales cycles.

Databricks London, United Kingdom

Hybrid Permanent

Product Designer

Design intuitive, user-centred experiences for an AI-powered enterprise platform used by legal, compliance, and operations teams. Lead end-to-end design from research to implementation, creating wireframes, prototypes, and workflows that simplify complex AI-driven processes. Collaborate with product, engineering, and legal experts to ensure usability, consistency, and alignment with the design system.

Luminance London, United Kingdom

Hybrid Permanent

Product Manager

This role involves defining and delivering AI-powered product solutions that start with legal teams and scale across enterprise functions like compliance, procurement, and finance. The Product Manager will own the product roadmap, translate complex user needs into actionable specifications, and collaborate closely with AI engineers, designers, and domain experts. They will also lead stakeholder alignment, drive cross-functional execution, and ensure ethical, user-centric AI innovation across the platform.

Luminance London, United Kingdom

Hybrid Permanent

Senior Research Engineer - Data

This role focuses on building and enhancing large-scale data pipelines for AI model training, working with vast video and audio datasets to improve data quality, curation, and annotation. The position bridges applied research and data engineering, collaborating closely with model teams to extract meaningful features and drive performance gains. It emphasizes clean, maintainable code and influence over long-term data infrastructure strategy.

Synthesia London, United Kingdom

Remote Permanent