Machine Learning Jobs

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa
• Mid-level

Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll design and review trial protocols, build tools for drug repurposing from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.

Claude · MCP

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on risks from future ASL-3/ASL-4 models. Works collaboratively with Interpretability, Fine-Tuning and the Frontier Red Team on areas such as AI Control and alignment stress-testing, using Python throughout.

Kubernetes · Python · LLM

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

TensorFlow · PyTorch · AWS +4

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define deployment standards, and mentor junior engineers while working with frameworks like TensorFlow or PyTorch on cloud and Kubernetes infrastructure.

TensorFlow · PyTorch · AWS +5

• London
• Remote
• Senior
• Permanent

Builds and optimizes the synthetic data pipeline behind Cohere's frontier language models, running scalable inference on large GPU clusters and transforming web and code data with generative models. Involves data ablations, mixture experiments and model evaluation to improve token efficiency and training throughput, working closely with researchers and engineers.

Apache Spark · Apache Beam · Pandas +2

• London
• Remote
• Senior
• Permanent

Founding Solutions Architect for the Nordics, owning the technical relationship with enterprise and government customers. Leads design and deployment of pilots, maps customer problems to AI solutions, and works with account executives, partners and product teams to drive adoption of LLM technology.

Cohere · Python

• Cambridge
• Hybrid
• Permanent

Join a small R&D team prototyping and implementing new AI approaches, evaluating output quality, efficiency and feasibility against alternative techniques in a data-driven way. Work spans large dataset handling, modelling and evaluation using Python ML frameworks such as PyTorch, TensorFlow and Scikit-Learn, with senior candidates contributing NLP, computer vision or deep learning expertise.

PyTorch · TensorFlow · Scikit-Learn

• Dublin, Ireland
• Hybrid · 2 days in office
• £388 – £474 pd
• Mid-level
• Contract

Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and applying MLOps, CI/CD and DevSecOps practices within cross-functional teams.

Snowflake · AWS · Linux +2

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams and feed field insights back into product and research roadmaps. Hybrid London role with up to 50% travel and Spanish-speaking customers.

OpenAI

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field learnings back into product and model roadmaps. Hybrid London role with up to 50% travel.

LLMs · Generative Models

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building and supporting production-grade AI solutions in a professional services environment. You will work with stakeholders to identify use cases, develop AI applications and agents using Microsoft technologies such as Copilot Studio and Azure AI Foundry, and ensure solutions are secure, auditable and compliant with GDPR and the EU AI Act.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps

• Manchester

The OpportunityA leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade…

• London
• On-site
• Senior
• Permanent

Customer-facing technical role driving GenAI/ML adoption for large UKI enterprises, designing architectures, leading workshops and proof-of-concepts, and advising C-suite leaders. Requires hands-on ML experience with PyTorch, TensorFlow, Hugging Face and AWS services like Bedrock and SageMaker, plus thought leadership through blogs and events.

AWS · PyTorch · TensorFlow +7

• Sofia, Bulgaria
• Hybrid
• Senior

Senior backend role on the Chuck Norris team building software for Ocado's autonomous mobile robots, spanning microservices, workflow orchestration, integration APIs and cloud-native components. The position has a strong agentic AI focus, using LLMs and AI tooling to ship features faster and improve the stability of a platform running thousands of robots across 120+ live sites, including on-call duties.

Kubernetes · GCP · AWS +7

• London
• Hybrid
• £110,000 – £120,000 pa
• Director

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with CI/CD, monitoring and governance. Partner with Product, Engineering, Credit and Operations to embed controls.

Python · SQL · Git +1