Machine Learning Jobs

• London
• £80,000 – £90,000 pa

This role involves designing and deploying AI-native applications using Large Language Models, agentic systems, and multimodal AI technologies. The engineer will build full-stack solutions, including intelligent agent workflows on Google’s Gemini platform, RAG architectures, and scalable front-end interfaces with React and Svelte. Collaboration with stakeholders to deliver production-grade AI applications that solve real business problems is a core responsibility.

• Abingdon
• Hybrid · 4 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build scalable data platforms, pipelines and ML infrastructure, and deploy production AI solutions including LLMs, RAG systems and AI agents. Work in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.

Databricks · Spark · Kafka +2

• Royston
• £58,000 – £60,000 pa
• Senior

Owns AI security initiatives within a Cyber Security and Compliance team, evaluating and integrating AI security tooling and defending against threats like prompt injection, data leakage and model poisoning. Also builds AI-driven detection, vulnerability management and incident response, running threat modelling and adversarial testing of AI systems.

OWASP Top 10 for LLM Applications · MITRE ATLAS · NIST AI RMF +1

• Dublin, Ireland
• Hybrid · 2 days in office
• Lead

Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI. Own the platform roadmap, MLOps/LLMOps practices, CI/CD and IaC standards, and Azure-based infrastructure, while mentoring engineers and acting as senior escalation point. Hands-on leadership role combining coding with technical strategy and architecture decisions.

Azure · AWS · Terraform +4

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

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines in a Python, AWS and Kubernetes stack, while mentoring engineers and leading technical design.

TensorFlow · PyTorch · Triton +5

• London
• Senior

Customer-facing pre-sales architect driving adoption of Databricks' AI product line across a local EMEA territory, paired with an Account Executive to design and execute engagement strategies. Leads design and implementation of agentic AI use cases using Agent Framework, AgentBricks and MLflow, and acts as tier-3 escalation for complex field challenges.

Databricks · MLflow · Databricks Agent Framework +7

• London
• Hybrid
• £150,000 – £190,000 pa
• Senior

Pre-sales architect role building technical relationships with Global and Regional System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.

AWS · GCP

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, covering training, evaluation and deployment pipelines for LLM/VLM models, GPU inference optimisation and advanced labelling workflows. Leads technical design from RFC to production, mentors engineers and works across Applied Science, Product and Data Science in a squad-based team.

TensorFlow · PyTorch · Triton +4

• United Kingdom
• Remote
• Senior

Builds production-quality C++ components, APIs and integrations for NVIDIA's AI-powered developer-tools ecosystem, connecting native C++ tools to the Genie knowledge service via Python, MCP and REST APIs. Also contributes to agentic workflows, retrieval and ingestion pipelines, evaluation infrastructure and enterprise integrations, mentoring engineers and driving initiatives from exploration to deployment.

MCP · REST APIs · Genie +1

• Switzerland
• Remote
• Senior
• Permanent

Builds production-quality C++ components, APIs and integrations for NVIDIA's AI-powered developer-tools ecosystem, connecting native C++ tools to retrieval and agentic services via Python, MCP and REST. Involves architecting performance-sensitive systems, contributing to agentic workflows and mentoring engineers.

MCP · REST APIs · Python +2

• Lausanne, Switzerland
• Hybrid · 3 days in office
• Senior
• Permanent

Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI/ML threat models, protect model artifacts, deploy LLM and agentic guardrails, and lead AI-specific incident response across distributed training and inference infrastructure.

JAX · PyTorch · TensorFlow +7

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building the shared platform, tooling and infrastructure for an interdisciplinary chem-bio research team, including LLM-based agent systems and evaluation frameworks. Works closely with researchers to translate varied needs into maintainable Python systems, while contributing to engineering standards and mentoring peers without line management.

AWS · Kubernetes · Slurm +2

• London
• Hybrid · 3 days in office
• Lead · manages people

Lead a team of biologists in the Exploratory Sciences group, owning in vitro pharmacology strategy for novel modalities such as TPD, molecular glues and peptides. Design screening cascades and quantitative assays, set ML-ready data standards, and champion LLM agentic workflows while managing CRO and academic studies.

SPR · GCI · nanoDSF +5

• Cambridge
• Hybrid
• Mid-level

Design and build LLM-agentic workflows that reason over knowledge graphs, proprietary methods and scientific literature to generate and triage therapeutic hypotheses for rare diseases. Works closely with drug discovery scientists in a cross-functional team, using Python, ADK and AgentSpace, with scope to own workflows end to end.

Python · ADK · AgentSpace

• London
• Hybrid
• £225,000 – £255,000 pa
• Mid-level

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, connecting software to robots, instruments and LIMS. You'll prototype and productionise LLM-powered tools, build evals for physical-world safety, and scale learnings through cookbooks and the Model Hardware Standard. Expect significant travel and EMEA ambassadorship at conferences.

Claude · Model Hardware Standard · Liquid Handlers +2