5 of 5 Contract Prompt Engineering Jobs in the UK excluding London

We are looking for a Tech lead who has strong experience insoftware engineering, data engineering,andcloud engineering, with recent leadership in Gen AI and ML solution delivery. Description Accountabilities Collaborate with product teams: Provide technical direction and support for Gen AI solutions across cross-functional groups. Own Gen AI product vision: Define and communicate the technical vision … performance standards. Promote FAIR data principles: Champion findability, accessibility, interoperability, and reusability in data pipelines and Gen AI solutions. Essential Skills/Experience: 10+ years of experience in software engineering, data engineering, and cloud engineering, with recent leadership in Gen AI and ML solution delivery Deep technical mastery in data engineering, software engineering, and cloud … platforms, combined with advanced knowledge of Generative AI systems and frameworks. Expertise in AI engineering principles, including MLOps, prompt engineering, model deployment, and operationalizing large language models (LLMs) Strong knowledge and practical application of DevOps, MLOps, and DataOps methods, processes, and tooling Demonstrated product development and product management experience, with emphasis on Gen AI features and capabilities More ❯

Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies.They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to … be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted … with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability More ❯

Prompt Engineer - LLMs & Responsible AI £775/day Inside IR35 | End of FY | Hands-on Prompt Engineer needed for a government AI programme. Design and evaluate prompts across multiple LLMs (ChatGPT, Claude) to support policy and business use cases. The Role Craft and refine prompts using advanced techniques (ReAct, Chain-of-Thought, ART) Build multi-agent workflows and … context-aware LLM systems Advise on responsible AI practices and risk mitigation Collaborate with policy professionals and user researchers Essential Skills Proven prompt engineering experience across multiple LLMs Multi-agent systems and tool-augmented workflows Deep understanding of LLM failure modes and responsible AI Ability to translate technical concepts for non-technical stakeholders The Details Rate: £775/ More ❯

a Product Manager and Developers to organise and deliver work effectively. Contributing to decisions on application design, testing strategies, and technical direction, including Generative AI solutions involving RAG and prompt engineering. Maintaining documentation and Agile project processes. Assisting with new feature development in sentiment analysis, data ingestion, and synthetic audience creation. As a member of the Disability Confident Scheme More ❯

challenges and deliver measurable impact. Key Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI … Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph , Azure AI Foundry Agents , and Semantic Kernel Agents . Good understanding of software engineering More ❯