1 to 25 of 35 Permanent Prompt Engineering Jobs in the UK

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 ...

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/ ...

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/ ...

Skills: 2+ years software development, 1-2+ years in AI/ML development. Python (mandatory), Java or TypeScript (advantageous) ML fundamentals, LLM integration, prompt engineering, RAG workflows, AI frameworks and Fine-tuning. Mindset: Self-motivated, growth-oriented, passionate about emerging AI tools. Environment: Comfortable in a Windows … impactful projects, apply now to join a high-growth, forward-thinking team in London. Keywords: AI Developer, Python Developer, Machine Learning, LLM, RAG, Prompt Engineering, AI Tools, PyTorch, TensorFlow, Hugging Face, Fintech Jobs London, Trading Platform, Lead AI, AI Engineer, AI Automation, AI Careers, AI London Jobs ...

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/ ...

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/ ...

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 ...

Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure … OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process ...

Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure … OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process ...

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. ...

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. ...

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 ...

science functions. A strong track record of delivering production-grade AI/ML solutions and driving adoption at scale. Deep expertise in GenAI (LLMs, prompt engineering, RAG) as well as classical ML and experimentation. Hands-on knowledge of MLOps, cloud (AWS/Azure), and modern data science tools. ...

experienced .Net (C#) Developer, looking to take on a Senior Software Engineering role in a growing SaaS product company ? Recent investment means we are scaling & growing our Software Engineering & product teams - we are keen to add a Senior Engineer into this, with accomplished skills in the .Net platform … days per week in the office. Flexible on this, but we would like some office time, as a senior figure in the software engineering team. Salary: Up to £70K Basic (£65K to £70K range) + Benefits package. You'll have the full support of an established Agile environment, excellent ...

experienced .Net (C#) Developer, looking to take on a Senior Software Engineering role in a growing SaaS product company ? Recent investment means we are scaling & growing our Software Engineering & product teams - we are keen to add a Senior Engineer into this, with accomplished skills in the .Net platform … will consider React or Vue, for example. - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop ...

with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into production systems. Join a profitable, fast-growing SaaS company going through a major tech transformation. After 15+ years ...

years’ experience in client-facing software delivery or IT roles. Exposure to Contact Centre technologies and associated applications. Experience with Conversational Design/Prompt Engineering for AI. Ability to deliver training workshops and consultative demonstrations. Understanding of data and integration principles. (Coding knowledge such as JSON/JavaScript ...

years’ experience in client-facing software delivery or IT roles. Exposure to Contact Centre technologies and associated applications. Experience with Conversational Design/Prompt Engineering for AI. Ability to deliver training workshops and consultative demonstrations. Understanding of data and integration principles. (Coding knowledge such as JSON/JavaScript ...

years’ experience in client-facing software delivery or IT roles. Exposure to Contact Centre technologies and associated applications. Experience with Conversational Design/Prompt Engineering for AI. Ability to deliver training workshops and consultative demonstrations. Understanding of data and integration principles. (Coding knowledge such as JSON/JavaScript ...