51 to 75 of 83 Prompt Engineering Jobs in London

experimentation methodologies and monitoring Improving the quality, reliability, trust and performance of production AI systems Writing high-quality, production-ready Python Partnering with software engineering teams to deploy AI solutions at scale Providing technical leadership and mentoring across the wider team What We Are Looking For We are interested … practical experience with Retrieval-Augmented Generation (RAG) Experience with semantic search, vector search and/or hybrid retrieval Strong knowledge of LLM techniques including prompt engineering, grounding strategies and fine-tuning Experience developing appropriate evaluation and experimentation frameworks for AI systems Strong Python development skills Solid machine learning ...

architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry, designed inside the build, not bolted … engineers during Transform engagements Evaluating emerging AI tools, frameworks and protocols, and making pragmatic adoption calls What We're Looking For Essential Strong software engineering foundations, clean code, testing, CI/CD, production mindset, with strong general-purpose programming (e.g. Python, TypeScript) and proficiency in 2+ modern languages Full ...

Work directly with government teams Prototype and test solutions Present findings and recommendations Contribute to strategic direction. What We Are Looking For Strong software engineering experience Experience building and evaluating AI systems Understanding of LLMs and agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem … communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied AI Engineer, AI Engineer, LLM Engineer, Harness Engineer, Prompt Engineer ...

workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science … building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content ...

Product Lifecycle Management (PLM) processes, helping reduce manual effort, improve data quality, streamline documentation, and accelerate business workflows. You will work closely with product, engineering, operations, and business stakeholders to identify automation opportunities and translate business requirements into secure, scalable AI solutions. Key Responsibilities Design and develop AI agents … Microsoft 365 SharePoint Online Microsoft Dataverse Microsoft Teams integrations Workflow automation and business process orchestration Enterprise application and data-source integration Generative AI and prompt engineering Agent-based AI and intelligent automation API integrations Translating business requirements into scalable technical solutions Working within governed and security-conscious enterprise ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

translate complex analytics into business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills in complex environments Qualifications Bachelor's or Master's degree … Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field Professional certifications in data science, machine learning, or analytics (e.g. Coursera, edX, or cloud certifications) are desirable Additional certifications in risk analytics, operational risk, or model risk management are advantageous Proven years of experience in data science ...

looking for a Technical Lead - Java (AI Enabled) to drive the architecture, development, and delivery of cloud-native applications while leading a talented engineering team. You'll combine strong technical leadership with hands-on coding, helping shape modern platforms that leverage Agentic AI, workflow orchestration, and intelligent automation … challenges. What You'll Do Lead the design and delivery of scalable Java 17+/Spring Boot microservices Own architecture decisions, system design, and engineering standards Design resilient, high-performance APIs and distributed systems Mentor and develop engineers through coaching, code reviews, and technical leadership Champion Agile delivery ...

solutions. Create Python-based services, integrations and automation scripts to support AI initiatives. Integrate AI solutions with existing enterprise systems and applications. Apply prompt engineering, orchestration techniques and modern AI best practices. About You Around 2-3 years' experience in AI, automation, software development or a related technology … services and the wider Microsoft AI ecosystem. Strong Python skills. Experience developing automation and workflow solutions. Understanding of Large Language Models (LLMs) and prompt engineering. ...

boilerplate, and review code. Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically. Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging). Experience working in an Agile/Scrum environment. Additional ...

Integrating AI services with existing enterprise applications including Microsoft 365, Dynamics and other University systems. Building secure AI solutions using Retrieval Augmented Generation (RAG), prompt engineering and orchestration techniques. Develop Python-based services, APIs and automation scripts to support AI products. Use Power BI to develop dashboards that ...

Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern AI platforms Workflow automation We don’t expect applicants to be experts in every AI technology ...

boilerplate, and review code. Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically. Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging). Experience working in an Agile/Scrum environment. Additional ...

cases. Demonstrate strong data literacy, including the ability to analyse, interpret, and leverage data to inform requirements and validate AI outputs. Apply prompt engineering techniques to optimise Gen AI model performance and ensure business relevance. Validate and iterate on AI solutions, using data-driven feedback to continuously improve ...

talk about the technology or only talk about the business outcome, that's a flag - you do both instinctively. Hands-on AI agent and prompt engineering experience: Your experience of designing and deploying production LLM solutions goes beyond side projects. You can point to concrete outputs - agents that … shipped, workflows that changed, problems that got solved. Business analysis instincts: Before you write a single line of a prompt, you ask "what's actually broken here?" Your experience mapping processes and structuring problem statements means you build the right thing, not just a technically impressive thing. Technical foundations ...

mentor a team of Engineers to deliver high-quality solutions. You will act as the bridge between client requirements, solution design and hands-on engineering, ensuring outcomes are scalable, performant and commercially sound. This is a hybrid position with occasional travel as required. We Are Recruiting for Two Positions … United Kingdom Fluent German (professional/business level) Excellent written and spoken English Both positions require experience with AI-enabled software development and modern engineering practices. Key Responsibilities Technical Leadership and Architecture: Lead end-to-end technical architecture and delivery of Sitecore-based digital experience platforms. Define and maintain ...

.NET ecosystem, containerization(Docker/Kubernetes), and clean code practices. Additionally, we are looking for a modern architect who actively utilizes AI-driven engineering tools to optimize workflows, accelerate design phases, and maintain a competitive edge. Key Responsibilities API Technology & REST Standards Design ● Define, design, and enforce strict REST … development and deployment workflows using Docker. ● Design, configure, and optimize enterprise deployments on Kubernetes (K8s),managing ingress, service meshes, scalability, and resource limits.Code Quality & Engineering Standards ● Establish rigorous code quality baselines, promoting SOLID principles, classic design patterns, and clean architecture templates. ● Set standards for testing automation (unit, component ...

projects. What You Will Learn Throughout the traineeship, you will develop an understanding of: Artificial Intelligence Fundamentals Generative AI and Large Language Models (LLMs) Prompt Engineering AI Productivity Tools Workflow Automation Business Process Automation AI Agents and Autonomous Workflows No-Code and Low-Code Automation Platforms API Integrations … realistic AI and automation projects that may include: Designing AI-assisted workflows Building automated business processes Developing AI-powered chatbots and assistants Creating prompt libraries for business use Automating repetitive administrative tasks Integrating business applications using automation platforms Producing AI-generated content for business scenarios Analysing existing business processes ...

production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including explainability, governance … MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks such as LangChain, LangGraph, or LangSmith. Experience taking ML models from experimentation into production environments. Strong communication skills with ...