14 of 14 Contract Prompt Engineering Jobs in the UK excluding London

Prompt Engineer - 12 Month Contract - Outside IR35 Role Description: Harvey Nash's Pub Sec client are seeking an AI Prompt Engineer to design, develop, and optimise prompt-based solutions for AI systems. This role will design and optimise AI prompts for extracting data from forms, fine-tune … look at building on exiting solution to extract structured data from various forms and documents. This role combines expertise in natural language processing (NLP), prompt engineering, and workflow automation to enable accurate and efficient data processing. Key Responsibilities: Prompt Design & Optimisation: Develop and refine AI prompts ...

Produce technical blogs, white papers, and internal documentation showcasing AI's impact on financial innovation. Strategic Advisory: Advise C-level executives and heads of engineering/architecture on AI strategy aligned with financial regulations. Industry Engagement: Represent the organization at finance-focused conferences and forums to promote responsible … quality for AI-assisted development, maintaining best practices in Python and other languages. Establish robust testing and validation frameworks for AI-generated code, including prompt engineering and compliance checks. Mentor engineering teams and set standards for mixed human/AI development environments. Collaborate with DevOps, security ...

Engineer - £350PD - Remote Required Technical Skills AWS & Generative AI Experience with AWS Bedrock including model selection, deployment, and prompt engineering Agentic workflow development, ideally using AWS AgentCore Multi-agent orchestration frameworks such as AWS Strands Agents, LangGraph, or similar LLM integration and fine-tuning (Claude … equivalent) Strong prompt engineering skills, including chain-of-thought reasoning RAG & Knowledge Systems Implementation of Retrieval-Augmented Generation (RAG) pipelines Experience with vector databases such as CockroachDB, Pinecone, or similar Embedding model optimisation and semantic search Context window management and chunking strategies MCP & Tool Integration Model Context Protocol ...

concept to deployment and maintenance. Utilize programming skills in Python to automate processes and enhance functionality. Work with large datasets for data preprocessing, feature engineering, and model evaluation. Develop and maintain REST APIs and microservices architectures. Monitor, evaluate, and apply governance frameworks for AI/ML models in production … documentation and effectively communicate complex concepts to both technical and non-technical stakeholders. Required Skills & Qualifications: Minimum 3 years of experience in AI solution engineering, specifically in enterprise environments. Demonstrable experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with ...

Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain … deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs. Design agentic AI systems that integrate autonomous decision-making ...

Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain … deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs. Design agentic AI systems that integrate autonomous decision-making ...

Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain … deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs. Design agentic AI systems that integrate autonomous decision-making ...

Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods … deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs. Design agentic AI systems that integrate autonomous decision-making ...

Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods … deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs. Design agentic AI systems that integrate autonomous decision-making ...

Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods … deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs. Design agentic AI systems that integrate autonomous decision-making ...

regulated environments. Strong problem-solving and technical storytelling abilities. Commitment to ethical AI deployment. Key Skills Advanced Python and backend languages. Expertise in prompt engineering, fine-tuning, RAG, and agentic design. Familiarity with AI tools (GitHub Copilot, ChatGPT, SonarQube, LangChain, etc.). Understanding of observability, security, and compliance ...

decisions are made on the application design and testing approaches. - Contributing to technical decision making alongside colleagues, including Generative AI solutions around RAG and prompt engineering. - Contributing to the required documentation and Agile project maintenance responsibilities. - Helping to design and develop incoming features around sentiment analysis, data ingestion ...

practices and CI/CD pipelines. Industry experiences delivering AI/ML solutions to production - particularly including hands on experience with generative AI and prompt engineering. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding ...

reliability. Desirable Skills Azure OpenAI & Workflows: Hands-on with Azure OpenAI services; knowledge of agent-based architectures and multi-step workflow automation. (Guardrails and Prompt engineering experience added advantage) Authentication & Security: Experience with MSAL authentication, secure coding practices (Key Vault, input validation, encryption), RBAC, and API key/ ...