151 to 175 of 191 Prompt Engineering Jobs in the UK

Company They are a tech‐forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart … secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP. • Embed security, compliance, GDPR controls and best‐practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs ...

frameworks Multi-agent orchestration Retrieval-augmented workflows LangChain, LlamaIndex, or similar agent toolkits Evaluation, monitoring, and safety Best practices for productionising agentic systems Advising engineering teams during hands-on sessions Helping define capability uplift and internal AI maturity Providing guidance around responsible & safe AI use Required Experience 5+ years … Software/AI Engineering Strong hands-on experience with: Python LLM orchestration frameworks (LangChain, OpenAI Agents, CrewAI, Haystack, etc.) Agentic AI design and deployment RAG, vector stores, prompt engineering Prior experience delivering technical training or mentoring Ability to translate complex concepts into practical, accessible material Self-sufficient ...

pipelines leveraging LLMs and RAG architectures. Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments. Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products. Ensure high performance, testability, and reliability across the stack. Key Qualifications … deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development, and working in production-grade environments. Ability to work across the full stack ...

Engineer who loves building reliable applications powered by large language models. This role is less about model research and more about engineering robust AI systems that work in the real world. What you’ll be doing Designing and deploying production AI applications using LLMs Building RAG pipelines, agentic workflows … across different models What we’re looking for Hands-on experience building applications with LLM APIs Practical knowledge of RAG architectures, vector databases, and prompt engineering Experience building multi-step AI workflows or agent systems Strong Python (or similar) and experience building production services Understanding of cloud platforms ...

workshops with technical and business stakeholders Represent the organisation’s technical capabilities in high-stakes client meetings Build trust and long-term relationships with engineering teams and decision-makers Solution Development & Architecture Build and iterate working AI prototypes quickly Architect scalable, maintainable systems from prototype to production Make sophisticated … 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level AI strategy ...

Strong hands-on experience in data analytics, data science, or a related field Working knowledge of AI concepts and tools (e.g. machine learning fundamentals, prompt engineering, or applied AI use cases) Experience coaching, mentoring, or teaching apprentices or adult learners Good knowledge of tools such as Excel ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

Software Engineer – AI and Data, Permanent – West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting team ...

Software Engineer AI and Data, Permanent West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting team ...

roadmap, value hypothesis, MVP definition and commercial case across Data and AI initiatives. AI Test Lead defining AI specific test strategy across LLMs, prompt behaviour, guardrails, bias, traceability and risk controls in regulated environments. AI Specialist hands on delivery across Azure AI, Copilot, Power Platform, prompt engineering ...

fast-growth environments) Role 1: AI Engineer Expert-level Python with exposure to frontend technologies (TypeScript/React preferred) Hands-on experience with LLMs, prompt engineering, and evaluation frameworks Ability to ship AI-powered features end-to-end Minimum 3 years of experience Role 2: Applied AI Engineer … Strong backend engineering experience (Python preferred) Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows Experience building RAG pipelines and AI agent orchestration systems Minimum 5 years of experience 📩 Interested? Message me here or email mmatysik@trg-uk.com ...

design and build advanced AI systems including knowledge graphs, multi-agent orchestration, evaluation frameworks, and self-improving AI pipelines. This role goes far beyond prompt engineering, you'll operate as a systems architect, working across LLM orchestration, context engineering, vector databases, and scalable cloud infrastructure. The stack ...

turns raw information into actionable insight and automated workflows for enterprise customers. Working directly with the founders, you will shape the architecture, infrastructure, and engineering culture from day one while building a product designed to scale into a major enterprise platform. What They’re Looking For TypeScript development React … frontend development Python development PostgreSQL database architecture LLM orchestration and prompt engineering Data ingestion pipelines including APIs, RSS feeds, and web scraping Vector databases and modern AI data pipelines Cloud infrastructure and SaaS deployment Observability, testing frameworks, and CI pipelines Proven ability shipping real products such as SaaS ...

Reporting to : Head of Legal Engineering (working closely with the CEO) Location : London hybrid/remote (UK-based) Salary : £35,000–50,000 + Opportunity for equity About Us Lexical Labs is an innovative legal technology company specialising in AI-driven contract analysis and review. Our mission … ensure our products genuinely align with how lawyers and in-house teams actually work. You’ll work closely with our Head of Legal Engineering, engineers, and founders to: Encode legal judgment into scalable, repeatable systems; and Bridge the gap between “how lawyers think” and “how machines operate”. This ...

About the Role As a Senior Engineer and Team Lead at Futuria, you'll own the delivery, quality, and culture of a core engineering team building our AI-driven platform. This is a hands-on technical leadership role where you'll split your time between writing production code … mentoring engineers. You'll lead a cross-functional engineering team working across our distributed platform stack. You're accountable for your team's execution, code quality, testing practices, and continuous improvement. This is NOT a product management role and NOT a solo contributor role. You're the technical leader ...

training processes, hands-on experience with model fine-tuning and optimization, and practical knowledge of frameworks like PyTorch or TensorFlow. You should understand prompt engineering, RAG systems, and how to evaluate model performance. Programming skills in Python are essential, and you should be comfortable working with large datasets ...

delivery tools, supporting effective implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key Responsibilities Problem Definition & Discovery (Supported Ownership) Support discovery … first-pass requirements Identify gaps, edge cases, and assumptions Ensure final requirements are: Understandable Testable Reviewed and approved by accountable stakeholders AI-Assisted Analysis & Prompt Contribution Contribute to the creation and refinement of analysis and discovery prompts Follow established prompt standards to ensure: Reusability Auditability Safe handling ...

will preprocess and clean large text datasets, removing noise and polishing tokens until the patterns shine. You will experiment with embeddings, attention layers, and prompt designs to unlock hidden insights from language. You will fine-tune pre-trained LLMs on domain-specific data, making them more accurate, responsive … context-aware. You will evaluate models using metrics like perplexity, BLEU, ROUGE, F1 score, and user-centric feedback. You will implement prompt engineering strategies to ensure outputs are high-quality, reliable, and safe. You will help integrate LLMs and other ML models into applications, APIs, and production pipelines. ...

Python and AWS CDK Desirable Skills: Git or other source control experience Agile development experience aligned with GDS principles Experience with AI/Prompt engineering Familiarity with scientific data formats (NetCDF, BUFR, GRIB ...

Brand We are partnering with a fast growing consumer brand building embedded AI capability across ecommerce, performance marketing and brand. This is not a prompt engineering brief. This is a mandate to design and oversee production grade AI agents that drive measurable commercial outcomes. The Mandate Design ...

Experience of source control systems such as Git Experience of AGILE approach to software development following GDS principles Experience of using AI/Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB ...

Desirable: Experience of source control systems such a git Experience of AGILE approach to software development following GDS principles Experience of using AI/Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB In this role you will: Develop software to meet ...

Desirable: Experience of source control systems such a git Experience of AGILE approach to software development following GDS principles Experience of using AI/Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB If you feel you have the skills and experience ...

data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling ...

cases. Sessions build confidence, digital capability and responsible practice in applied AI. Commercial Awareness: Demonstrates a strong ability to connect AI concepts—such as prompt engineering, automation, data literacy and AI‐supported decision making—to real‐world business needs, organisational impact, and commercial value. Innovation & Improvement: Actively enhances ...