Machine Learning Jobs

• London
• Hybrid
• Lead · manages people
• Permanent

Lead the technical direction and delivery of complex AI projects for enterprise clients in financial and professional services, acting as primary technical authority from discovery to production. Balance hands-on full-stack work in Python and TypeScript/React with mentoring a squad of engineers and shaping reusable architecture. Distinct for its client-facing, highly regulated context and emphasis on safe, responsible AI deployment.

GitLab · Docker · Kubernetes +1

• London
• Hybrid
• Lead · manages people
• Permanent

Leads a small, high-agency research team setting the scientific agenda for AI safety, with a focus on large language models and safety-critical systems. Involves conducting and overseeing red-teaming and evaluations in high-risk domains such as CBRN and cybersecurity, publishing at top conferences, and mentoring researchers while aligning work with commercial goals.

Python · OpenAI o1 · Metaview

• United Kingdom
• On-site
• Lead
• Permanent

Lead and develop a small Service Desk team while remaining hands-on with incident resolution and service improvements. Guide operational workflows, mentor team members, and act as a key escalation point across a global technology consultancy. Focus on service quality, user experience, and continuous improvement within a collaborative IT environment.

• United Kingdom
• On-site
• Senior
• Permanent

Design and develop cutting-edge mechatronic systems for medical technology applications, focusing on robotics, diagnostics, and drug delivery. Lead hardware design efforts from concept to manufacture, conduct first-principle analyses, and support prototyping and testing. Collaborate across disciplines to solve complex engineering challenges in healthcare innovation.

• London
• Hybrid
• Senior
• Permanent

Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling, acting as the bridge between frontier AI capabilities and government requirements. Navigate procurement, security authorisations, data sovereignty and compliance while coordinating Applied ML, Forward Deployed Engineering, Platform and Product teams. Work spans air-gapped, on-premises and highly regulated environments.

Azure · AWS GovCloud

• London
• Hybrid
• Permanent

Owns the evaluation strategy for an enterprise AI workspace, building evals that capture agentic workflows, tool use and knowledge work. Translates user feedback, production failures and usage logs into continuous measurement, then feeds model failures and capability gaps back to central modelling teams. Sits between product, customer-facing and research teams rather than being pure research or product engineering.

North

• London
• On-site
• £40,000 – £75,000 pa

Builds AI and agentic AI systems that solve real-world problems, working with the Head of AI & Data to design, deploy and scale solutions for clients and internally. Uses Python, agentic coding tools and self-hosted models to create rapid proofs-of-concept, then productionise them with engineering teams. Requires DV clearance eligibility and onsite work 4-5 days per week.

Claude Code · OpenAI Codex

• Cambridge
• Senior

Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Reading
• Senior

Acts as the primary technical contact for academic and research partners, helping integrate NVIDIA's accelerated computing stack into large language model and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep multi-node LLM lifecycle expertise and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM-powered workflows into production, making key architectural decisions within a small AI and Innovation team.

Python · React · TypeScript +1

• London
• Hybrid · 4 days in office
• £65,000 – £80,000 pa
• Permanent

Hands-on role building complete software and data systems end to end, from architecture through to production, for an investment management firm's internal platforms. Work spans Python and SQL backends, REST APIs, data pipelines, cloud infrastructure and applied AI/LLM tools for document processing, reporting and automation, with ownership of solutions from concept to deployment.

Azure · PostgreSQL · FastAPI +5

• London
• Permanent

Open speculative application for a TechBio company, inviting CVs from computational biologists, life sciences researchers, and ML engineers with high-performance multi-GPU computing experience. Successful candidates would join matrixed, interdisciplinary teams combining biology, computation and engineering in wet and dry labs to advance drug discovery.

• London
• Remote
• £80,000 – £95,000 pa
• Senior
• Permanent

Hands-on senior role in a newly formed team building applied Generative AI products for synthetic data generation and augmentation. You will design, validate and productionise LLM-based solutions, working closely with Product and Engineering, and communicate methodology to non-technical stakeholders. High autonomy and end-to-end ownership from problem definition to delivery.

RAG

• Kraków, Poland
• Hybrid · 2 days in office
• Senior
• Permanent

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training to serving, monitoring and cost management, while coaching others and shaping reusable platform building blocks.

GCP · Vertex AI · BigQuery +6

• Didcot
• On-site
• £45,000 – £65,000 pa
• Mid-level
• Permanent

Develops predictive models and chemometric capabilities that turn spectroscopy and industrial process data into practical recommendations for manufacturers. Works hands-on with Python, machine learning and statistics alongside chemometricians, software developers and customer engineering teams, with occasional international travel. Combines technical experimentation with customer collaboration to shape the IRis platform.

Azure · IRmadillo · IRis