76 to 100 of 196 Prompt Engineering Jobs in the UK

Engineer Employment Type: Contract Job Mode: Hybrid Location: Alderly Park, UK Primary Skill Experience with Python and modern application development. Experience with LLMs, prompt engineering, RAG, embeddings, and AI agents. Key Responsibilities AI-Powered SDLC Automation: Build AI solutions across the software development lifecycle. Convert vague business requirements … into structured requirements, user stories, acceptance criteria, edge cases, and test scenarios. Improve engineering readiness using AI. Requirements & Product Engineering Intelligence: Build AI assistants that understand business problems and generate Jira/ADO ready work items. Identify missing information, risks, and technical considerations. Design-to-Code Automation: Develop ...

MGAs modernize operations, enhance underwriting and claims capabilities, and accelerate digital transformation using data, analytics, and advanced platforms. Java Software Engineer – AI Enabled Engineering · UK We are seeking a skilled Java Software Engineer with a growing interest and demonstrated exposure to AI/ML integration. This role is primarily … integrated something with it — even if at the side-project or prototype level. Role Details Location: London Experience: 4–7 years of overall software engineering experience Engagement Model: Full-time, Product Engineering Job Responsibilities Design and implement RESTful APIs and microservices using Java 17+ and Spring Boot 3.x. ...

+ Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging … develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer ...

Large Language Models (LLMs), AI agents and orchestration frameworks to deliver enhanced automation, decision-making and user experiences.Working as part of a high-performing engineering team, you will be responsible for developing AI-driven workflows, integrating diverse data sources, and building scalable cloud-native applications that combine modern … capabilities with enterprise-grade software engineering practices. Key Responsibilities Design, develop and deploy Agentic AI and Generative AI applications using modern LLM technologies. Build AI agent ecosystems leveraging frameworks such as LangChain, LangGraph and CrewAI. Develop and implement Retrieval-Augmented Generation (RAG) pipelines to improve application accuracy, relevance ...

large language models while setting technical standards for a high-performing data science team. You'll play a hands-on leadership role, partnering with engineering and business stakeholders to design, build, and deploy AI solutions that deliver measurable business value. What you'll do Lead the design and development … through deployment and monitoring. Establish best practices for model evaluation, testing, validation, and responsible AI. Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation (RAG), and AI agents. Mentor data scientists and provide technical leadership through code reviews and coaching. Partner with engineering ...

become the go-to platform for all consumer insights - the infrastructure companies run on, not a service they call in occasionally. The internal apps engineering team builds products that give the humans at Conveo maximum leverage. As the cost of building software falls to zero, we craft opinionated internal … management, recruitment), agents that run across the business, and the tooling that lets anyone at Conveo automate their own workflows. This team sits inside Engineering and is the group actually building these apps day to day. There are two of us on it today - you'd be the third. ...

from concept to production and ongoing optimization Architect LLM-powered applications, multi-agent workflows, and autonomous systems Orchestrate LLMs through advanced prompt engineering and fine-tuning Deploy and monitor AI services in production, tracking quality, hallucination rates, and decision accuracy Build scalable, cost-effective infrastructure with automated evaluation … fallback mechanisms Ensure security, compliance, and rapid iteration based on user feedback What You'll Bring 5+ years in AI/ML engineering or software development, with production AI deployment experience Degree in Computer Science (or equivalent) with strong AI/ML/NLP foundations Strong Python skills, familiarity ...

civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering … self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows ...

active growth period. We started this year as a team of ~20 and are on track to reach ~120 by year end. On the engineering side, we're 13 today (possibly more by the time you're reading this), and we're right at the stage of deciding … this team runs. Join now and you'll have a real voice in shaping that structure a rare opportunity for outsized impact. The engineering team is small and deliberately so. There are no product managers, no designer handoffs, no tickets waiting for someone else to prioritise. Engineers ...

Role Description We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using … assisted tooling as standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This ...

data ingestion, structuring analytical output, and QA'ing every number before it reaches a stakeholder Extend and improve AI-integrated workflows including MCP servers, prompt engineering, and structured data pipelines that feed Claude-powered analytical outputs Own platform health and evolution, monitoring pipeline integrity, adapting the context … write scripts to automate provisioning and data quality checks, and you use AI assistants (Claude, ChatGPT) as a genuine daily tool — comfortable with prompt engineering and clear-eyed about what it unlocks for a small, high-output team Clear, structured communication; you can explain a metric, a business ...

needs of different learner and employer audiences AI Adoption & Workplace Application: Support employers to embed AI tools into business processes Deliver practical training on: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related tools Promote responsible AI use, including governance, data protection … Adaptable, proactive and solution-focused approach Desirable Experience delivering AI or digital apprenticeship standards Experience with Copilot Studio or Power Platform tools Understanding of prompt engineering and AI adoption Knowledge of automation tools and workflow design Awareness of apprenticeship funding and compliance requirements Teaching or training qualification (e.g. ...

needs of different learner and employer audiences AI Adoption & Workplace Application: Support employers to embed AI tools into business processes Deliver practical training on: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related tools Promote responsible AI use, including governance, data protection … Adaptable, proactive and solution-focused approach Desirable Experience delivering AI or digital apprenticeship standards Experience with Copilot Studio or Power Platform tools Understanding of prompt engineering and AI adoption Knowledge of automation tools and workflow design Awareness of apprenticeship funding and compliance requirements Teaching or training qualification (e.g. ...

opportunity! Role We are looking for an engaging & ambitious AI Solutions Analyst to help deliver AI-powered solutions. This role combines business analysis, AI prompt engineering, and testing/quality assurance . You’ll work closely with customers to understand their requirements, design effective AI prompts and workflows … Experience in business analysis, QA/testing and solution delivery Organised, detail-oriented, and customer-focused Desirable Change management/business adoption Experience with prompt engineering Familiarity with Agile delivery environments Understanding of AI/LLM capabilities and limitations Responsibilities Gather and document customer requirements Translate business needs ...

initiatives through to secure, scalable and fully operational services. This is a hands-on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer-facing journeys … internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands-on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern ...

strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning and engineering excellence. You will manage, coach and develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial … disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), agentic AI, model evaluation ...

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Applied AI Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions. This is a senior … designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation. The Role This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice ...

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Applied AI Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions. This is a senior … designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation. The Role This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice ...

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Applied AI Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions. This is a senior … designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation. The Role This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice ...

into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering ...

Senior AI Software Engineer, you will play a key role in designing, developing, and implementing intelligent software solutions that drive innovation, improve engineering productivity, and deliver measurable business value. You will work closely with AI Architects, Data Engineers, Data Scientists, Product teams, and Engineering colleagues to build scalable … Generative AI, AI-assisted code generation, automated testing, code review acceleration, agentic workflows, and development process optimisation. This role involves providing technical leadership, engineering expertise, and tooling oversight across the software delivery lifecycle, helping teams apply AI responsibly to modernise platforms, improve code quality, streamline delivery, and enhance developer ...

Principal, AI/ML Engineer leads the design, delivery and continuous improvement of AI and ML solutions within their area of responsibility, aligning engineering activities to the Bank’s broader AI strategy and long-term objectives. The role combines strong technical leadership with a clear focus on delivery outcomes … operates with a clear understanding of the wider technology landscape, contributing to strategic direction while taking accountability for translating this into practical, high-quality engineering outcomes across squads. Leads the definition and execution of AI/ML engineering direction across one or more squads, ensuring alignment with ...

role involves building scalable AI-driven services, integrating with enterprise security technologies, and contributing to the evolution of a modern platform that combines software engineering, cloud services, artificial intelligence, and cybersecurity. The ideal candidate enjoys solving complex technical problems, can work across multiple technologies, and is comfortable learning … translate them into technical solutions. Produce maintainable, well-tested, and well-documented code. Participate in technical reviews and architectural discussions. Required Skills Software Engineering Strong software engineering fundamentals. Experience designing modular, maintainable systems. Experience building REST APIs and backend services. Experience developing reusable libraries or frameworks. Experience working ...

into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with ...

into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with ...