Artificial Intelligence Jobs

Harnham - Data and Analytics Recruitment · London · £80,000 – £85,000 pa

Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.

Ncounter · Manchester · £80,000 – £90,000 pa

Hands-on research engineering role investigating the internal behaviour and security of large language models, turning academic ideas into practical experiments in Python. Work spans model internals, data movement, training risk and safe deployment, alongside production-quality ML engineering, testing and code reviews. Requires active SC clearance and around three days per week on secure sites.

Softweb Resourcing · London · £120,000 – £180,000 pa

First dedicated AI hire at a profitable early-stage video startup, owning AI engineering end-to-end and shaping product quality, infrastructure efficiency and technical direction alongside the founders. Work spans applied AI/ML/MLOps, building eval frameworks for non-deterministic outputs, and running frontier LLMs and agentic workflows in production at scale.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

SoCode · Cambridge · £50,000 – £80,000 pa

Develops intelligent embedded systems using Python, C and C++, applying machine learning and computer vision to real-world products. Works with microcontrollers, sensors and connected hardware, designing software architectures and delivering production code while collaborating directly with clients from concept to finished product.

eFinancialCareers · London

Design and build an agentic automation framework in Python on AWS Bedrock, decomposing Jira workflows into microservices and LLM agents. Own end-to-end delivery of automation across Operations, Compliance and Risk, including secure integrations, prompt strategies and retrieval augmentation, while mentoring junior engineers and driving CI/CD standards.

eFinancialCareers · London

Embedded within an investment team, spending most of the week building AI-driven tools, agentic LLM applications and Python data analytics systems that support investment research and decision-making. Works directly with analysts and researchers to automate research workflows and monitor markets, news and macroeconomic data. Distinct for its heavy investment-floor exposure and a track record of moving people into investment analyst roles.

Appcastenterprise · London

Hands-on leadership role taking AI solutions from proof of concept to secure, production-grade deployments in highly regulated Security & Justice environments. Involves designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps and ensuring governance, security and operational compliance across LLM, RAG and Generative AI work.

IQVIA · Reading

Supports a global pharmaceutical client by applying statistical methods to biological, biomedical and omics datasets, building reproducible analytical workflows in R and/or Python. The role sits at the intersection of statistics, data science and AI, developing AI-enabled tools, agents and automation that speed up discovery and translational research decisions alongside scientists and engineers.

Flarebright · Bicester · £39,000 – £49,000 pa

Contributes across the full development lifecycle, from concept and algorithm design to system integration, testing and troubleshooting of safety-critical navigation and autonomy software in C++. Works with a multidisciplinary team on real-time embedded systems, hardware/software-in-the-loop testing and flight test activities, producing design documentation and test reports.

Anthropic · London · £195,000 – £245,000 pa

Conducts empirical research on AI's economic effects, building and extending the Anthropic Economic Index with regionally relevant insights. Develops new methodologies using econometrics, machine learning and structural estimation, and engages governments, academia and industry as a primary research partner. Combines novel datasets with causal inference to inform policy and internal product decisions.

Anthropic · London · £255,000 – £325,000 pa

Product engineer building internal tools and platforms, working across backend, frontend and infrastructure with Python, TypeScript and React. The role sits at the intersection of engineering, product and design, requiring direct user consultation, spotting patterns across requests and turning them into reusable primitives and abstractions rather than one-off features.

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications on top of physics AI models, working directly with clients, data scientists and ML engineers. Involves full-stack work: FastAPI REST APIs and Python microservices, plus cloud deployment with Helm, Kubernetes, Terraform and AWS/Azure. Expect on-site travel to customer sites for 3-4 weeks per quarter.

University of West London · London · £18,000 pa

Develops an AI-enabled decision-support framework combining building-performance simulation, machine learning, GIS and remote sensing to optimise green roofs and façades for energy, carbon and thermal performance. Primarily computational, with no routine lab or fieldwork, and scope refined with the successful candidate.

Databricks · London

Lead a delivery team of 8+ engineers building and productionising data and AI solutions on the Databricks platform for enterprise customers. The role blends hands-on technical oversight of Spark, Python/Scala, cloud and MLOps architectures with professional services delivery metrics, hiring and coaching. Hybrid working in London, with accountability for bookings, revenue, margin and customer satisfaction.