Artificial Intelligence Jobs

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

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning and fine-tuning, with model training and inference engineering at scale. Interdisciplinary collaboration with research scientists and engineers, plus technical mentorship and project leadership depending on experience.

JAX · PyTorch · TensorFlow +3

• United Kingdom
• Remote
• Senior

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• London
• Senior

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and GenAI workloads on the Databricks platform. The role spans RAG architectures, agentic systems, MLOps lifecycle management, and cloud-native integration, while mentoring colleagues and influencing the product roadmap. It combines deep hands-on engineering with customer-facing technical sales support.

Databricks · AWS · Azure +7

• London
• Senior

Forward-deployed full-stack engineer who partners directly with public sector clients to turn ambiguous mission requirements into production-grade AI applications. Leads architecture across React, Node.js, Python, Kubernetes and global cloud infrastructure, mentoring staff and shaping reusable platform patterns. Founding-member role on Scale's Global Public Sector team.

Python · Node.js · React +4

• London
• Hybrid
• £80,000 – £90,000 pa
• Senior
• Permanent

Designs and scales Azure Databricks data platforms, building pipelines with PySpark, Delta Lake and Airbyte while developing LLM and RAG-powered features in customer-facing products. Works closely with Product and Engineering, optimising Azure environments for performance and cost, and mentoring colleagues in a growing data function.

Azure Databricks · Databricks · PySpark +5

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

Hands-on tech lead for Uncheck, an accounting disclosure product, owning the technical plan and delivery as it scales across customers and regions. Writes production code, reviews others' work, and leads how the team builds with AI agents, including safe review and testing of agent-written code. Mentors engineers and leads technical conversations with enterprise IT, security and architecture teams.

AWS · Python · LLMs

• London
• Senior

Builds full-stack AI applications directly alongside public sector clients, scoping requirements, gathering feedback and shipping production-grade systems. Work spans React and TypeScript front ends, Python/Node backends, and cloud infrastructure on AWS, Azure or GCP, with a focus on reusable platform features and deploying into customer environments.

React · TypeScript · Next.js +7

• Welwyn Garden City
• Hybrid
• £750 – £850 pd
• Senior
• Contract

Technical lead for AI solutions within a healthcare organisation's Business Strategy & Operations function, owning the design of AI agents, assistants and dashboards built on enterprise LLMs. Involves multi-agent workflows, reusable component libraries, GxP compliance and validation, plus mentoring engineers and setting CI/CD and coding standards.

Python · R · R Shiny +4

• London
• Hybrid
• £600 – £644 pd
• Mid-level
• Contract

Builds production-grade GenAI and Agentic AI products within a product squad, using LLMs, RAG and agentic workflows. Requires strong Python engineering plus LangGraph, vector search, evaluation and Azure AI services to deliver secure, maintainable AI applications.

Azure · Azure OpenAI · Azure AI Search +7

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses covering data prep, evaluation and serving, applying SFT, preference optimisation, RLHF/RLAIF, distillation and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• Southampton
• On-site
• £46,970 – £49,798 pa
• Senior · manages people
• Contract

Lead a translational research project extracting structured clinical findings from electronic health records using open-source large language models, harmonising them to ontologies such as HPO, SNOMED CT and ICD-10. Develop reproducible LLM-based pipelines on high-performance computing, integrate clinical and genomic data for autoimmune disease diagnostics, and manage early career researchers within a multidisciplinary team.

IRIDIS · HPO · SNOMED CT +6

• United Kingdom
• Remote
• Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

Databricks · Mosaic AI · MLflow +7

• London
• Hybrid
• £165,000 – £190,000 pa
• Senior

Technical partner to startup founders and engineers building on the Claude Developer Platform, guiding them from technical discovery through deployment. Combines hands-on LLM architecture, evaluation frameworks and Python work with winning technical evaluations alongside Account Executives.

Claude · Claude Developer Platform

• London
• £700 – £850 pd
• Senior

Technical lead and architect driving an enterprise AI roadmap within Product Development Data Sciences, moving operational teams from manual data handling to automated steering. You will design multi-agent frameworks and RAG pipelines, build agents on Claude and OpenAI with tool calling, and create natural-language dashboards in R Shiny or Python. The role also covers MLOps standards, GxP validation and guardrails, and mentoring engineers.

FastAPI · Pydantic · asyncio +7

• London
• £52,000 – £60,000 pa
• Lead

Lead the architecture and cloud deployment of production GenAI interfaces, bridging LLM APIs with responsive UIs. Build real-time streaming with Next.js and SSE, manage state layers, and drive AWS migration and automation. Also guide cross-functional squads across React and Angular micro-frontend landscapes.

Next.js · React · Angular +7