263 jobs for “Python”
DCV Technologies London
Designs and builds agentic AI systems with multi-step reasoning, planning and action execution, using Python, Azure OpenAI, Semantic Kernel and LangGraph for multi-agent orchestration. Works on RAG architecture, vector stores, MCP tool integration and productionising LLM services for a major UK retailer, with a focus on performance, cost, latency, governance and responsible AI.
Reperio Human Capital Athlone, Ireland £69,059 – £86,324 pa
Lead the technical strategy and architecture for Generative AI, Agentic AI and network automation projects, guiding delivery teams that modernise end-client systems. The role blends hands-on engineering with technical leadership across GCP, Python, Kubernetes, APIs and event-driven microservices in a DevSecOps environment.
Vallum Associates London £475 – £500 pd
Data scientist role focused on collecting and analysing large datasets, building experimental models and machine learning applications in Python, and performing complex statistical analysis. Involves leading small teams on data science products, developing classical ML and LLM solutions with prompt and RAG techniques, and mentoring junior data scientists. Hybrid working with two days per week in the London office.
The Portfolio Group London £80,000 pa
Design and deliver production-grade AI systems with a focus on RAG pipelines, agentic workflows, and LLM optimisation. Work with LangChain, LangGraph, and LlamaIndex on retrieval strategies, evaluation frameworks, and fine-tuning, while mentoring junior engineers within a growing AI function.
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.
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.
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.
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
Design and build AI-powered tools, automations and integrations using Python, PowerShell and APIs, exploring Agentic AI and LLM use cases across internal business functions. Advise on embedding AI into enterprise architecture within a regulated investment management environment, working with engineering, product and business teams. Distinct for its focus on engineering productivity and architecture strategy rather than traditional ML modelling.
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.
Anthropic London £195,000 – £245,000 pa
This role involves conducting empirical economic research to understand AI's impact on labor markets, productivity, and economic transformation across a specific region. The economist will develop and expand the Anthropic Economic Index using novel measurement systems like Clio, applying advanced econometric and machine learning methods. They will collaborate with governments, academia, and policy institutions to translate research into actionable insights and influence both public policy and internal business 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.
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.
Isomorphic Labs London
Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.
