1 to 25 of 40 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 ...

working across the full ML lifecycle—from design through to production—in a modern, AWS-based environment. You'll be part of an engineering and data team tackling projects like LLM development, intelligent automation, semantic search, and recommendation systems. There's real scope here to influence how MLOps … What you'll be doing: Building and deploying ML models and LLM applications Fine-tuning large language models for specific use cases Working with prompt engineering and RAG systems Creating end-to-end ML pipelines—ingestion, feature engineering, deployment Developing LLM-powered tools: chatbots, automation, content generation ...

Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge … Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development ...

implement, and fine-tune LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models) Build and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows Deploy and monitor AI models on cloud platforms (Azure preferred … Skills & Experience 2-6 years of Python development experience Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ ...

fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud platforms (Azure preferred … practices and high-quality outputs. Skills & Experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/ ...

delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing and AI workflows. Integrate and automate … government project. Ensure compliance with security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering ...

delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing and AI workflows. Integrate and automate … government project. Ensure compliance with security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering ...

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 ...

support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops, online training, hands-on labs, and ongoing consultancy-style support … them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams ...

feedback, and creatively leveraging the capabilities provided by the internal GenAI Platform Team. You will own the entire lifecycle of an AI agent, from prompt design to production deployment and monitoring. This is a hybrid role, typically working 1 day per week at our Citigen office in London. Here … autonomous AI agents and workflows using the standardised frameworks (e.g., LangGraph, custom SDKs) provided by the central GenAI Platform Team. Master the art of Prompt Engineering to define clear, deterministic, and self-correcting agent behaviour, optimising its reasoning, planning, and task execution for specific product use cases. Develop ...

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 ...

tools such as Hugging Face, OpenAI, vector databases, and large language model frameworks to create advanced AI solutions. Optimise models through fine tuning, parameterisation, prompt engineering, and performance testing. Develop solutions across cloud environments including AWS, Azure, or GCP. Collaborate with engineering, platform, and enterprise architecture teams … desirable. Proven experience working with large, complex, multi source data sets. Experience with consumer behavioural or market data is desirable. Comfortable working within agile engineering teams and enterprise environments. Desirable Skills Experience with vector databases such as FAISS, Pinecone, or Weaviate. Knowledge of enterprise scale Retrieval Augmented Generation systems. ...

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 ...

analytics while collaborating with cross-functional teams as part of the BTS Data & Analytics team. You will work closely with key stakeholders in Engineering, Product, GTM, and other groups to help build scalable data solutions that support key metrics, reporting, and insights. You will assist in ensuring teams have … model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams. Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions as you develop your skills ...

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 ...

proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs, and LLM fine-tuning techniques. Expertise in building RAG systems , vector databases (e.g., Pinecone, Weaviate), and embedding pipelines. ...

workflows. You will work closely with engineers, traders, and senior stakeholders to translate real business problems into scalable AI systems.This is a hands-on engineering role, with a strong focus on production deployment, cloud infrastructure, and real-world model usage rather than pure research. Role Responsibilities Design, build … deploy AI and LLM-based solutions into production environments Work with large language models, prompt engineering, orchestration, and evaluation Integrate AI solutions into existing trading, analytics, and operational platforms Build scalable pipelines and services across multi-cloud environments (AWS, GCP, Azure) Collaborate closely with engineering, data ...

experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability … years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with ...

experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability … years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with ...