Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid · 3 days in office
• Senior

Hands-on in vitro pharmacologist designing and running biochemical, biophysical and cellular assays for novel modalities, generating ML-ready datasets that both advance drug programmes and improve predictive models. Works closely with ML and computational colleagues, using LLM agentic workflows and in silico hypothesis building, and coordinates wet-lab studies across CRO partners.

SPR · GCI · nanoDSF +7

• Spain
• Remote
• Senior · manages people

Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into research objectives and production ML systems. The role combines technical leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.

AWS · Linux

• 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

Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.

Metaview

• Bristol
• Hybrid · 2 days in office
• £450 – £480 pd
• Senior
• Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Involves production deployment, MLOps pipelines, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

TensorFlow · PyTorch · OpenAI +5

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building, deploying and supporting production-grade AI solutions in a professional services environment. Day to day involves developing AI applications, agents and automations with Microsoft technologies such as Copilot Studio and Azure AI Foundry, designing prompts and grounding strategies, and integrating AI into existing workflows. Distinct for its emphasis on real-world delivery over research or proof-of-concept work, plus close stakeholder collaboration and governance, security and compliance responsibilities.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps

• Manchester
• On-site
• Director · manages people

Set the AI vision and roadmap while staying hands-on, architecting and deploying machine learning and generative AI solutions into production. Work spans RAG, LLMs, vector search and knowledge graphs, plus building a cross-functional team and establishing AI governance. Based fully on-site in Manchester, reporting into senior leadership.

PyTorch · TensorFlow · Vector Search +2

• London
• Hybrid · 3 days in office
• £95,000 – £105,000 pa

Hands-on role designing, building and maintaining production AI solutions across a professional services firm, focused on legal service delivery, knowledge management and operational efficiency. Work spans Copilot Studio, Azure AI Foundry and Azure DevOps, with prompt design, grounding strategies, agentic AI and integration into core business systems, alongside senior stakeholders and knowledge teams.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps +2

• London
• Hybrid
• Senior
• Permanent

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

• London
• Hybrid
• £68,284 – £76,244 pa
• Senior
• Permanent

Develops and leads an AI-driven research programme in biomolecular design and molecular interactions, combining structural biology, biophysics and machine learning to model protein–ligand, protein–protein and protein–nucleic acid systems. Teaches computational biology and biomolecular design at undergraduate and postgraduate level, including a new cross-division MRes in AI for Bioscience, within UCL's Research Department of Structural & Molecular Biology.

• Welwyn
• Senior

Leads the design and development of production-grade AI agents, assistants and dashboards that move teams from manual processes to AI-enabled systems. Works with LLMs, RAG and multi-agent frameworks in Python and R, partnering with IT, architecture, data governance and compliance to keep regulated use cases secure, traceable and validated. Also sets coding standards and mentors engineers.

FastAPI · Pydantic · asyncio +7

• Edinburgh
• On-site
• £76,800 – £115,200 pa
• Senior

Designs and manages complex research data pipelines spanning clinical study data collection through validation trials, supporting an AI and algorithm R&D team. Owns data architecture, storage, security and ETL/ELT workflows across sensor platforms and HPC environments, working with Python, SQL and CI/CD automation to enable machine learning and signal processing applications.

C++ · C# · MATLAB +1

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.

Kubernetes

• London
• Hybrid · 2 days in office
• £76,800 – £115,200 pa
• Senior

Builds and maintains a Python-based SaaS platform for project, data and annotation management used by internal machine learning engineers and data scientists. Works with data and platform engineers to handle growing data volumes, and collaborates with stakeholders to define requirements and validate features in an iterative, quality-driven environment.

AWS · GCP · Docker +4