51 to 75 of 103 Prompt Engineering Jobs in the UK excluding London

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

building AI-powered backend solutions. This role is ideal for a hands-on .NET engineer with practical experience in AI/LLMs and prompt engineering, who can design scalable backend systems while influencing technical direction. Key Responsibilities Design and deliver AI-powered features using LLMs, prompt engineering … internal tools Contribute to architecture, system design, and technical strategy Integrate services across a wider ecosystem using microservices and event-driven patterns Drive engineering best practices, automation, and continuous improvement Provide technical leadership and mentoring across squads Key Requirements Strong experience with .NET Core, C#, APIs, SQL, and cloud ...

building AI-powered backend solutions. This role is ideal for a hands-on .NET engineer with practical experience in AI/LLMs and prompt engineering, who can design scalable backend systems while influencing technical direction. Key Responsibilities Design and deliver AI-powered features using LLMs, prompt engineering … internal tools Contribute to architecture, system design, and technical strategy Integrate services across a wider ecosystem using microservices and event-driven patterns Drive engineering best practices, automation, and continuous improvement Provide technical leadership and mentoring across squads Key Requirements Strong experience with .NET Core, C#, APIs, SQL, and cloud ...

building AI-powered backend solutions. This role is ideal for a hands-on .NET engineer with practical experience in AI/LLMs and prompt engineering, who can design scalable backend systems while influencing technical direction. Key Responsibilities Design and deliver AI-powered features using LLMs, prompt engineering … internal tools Contribute to architecture, system design, and technical strategy Integrate services across a wider ecosystem using microservices and event-driven patterns Drive engineering best practices, automation, and continuous improvement Provide technical leadership and mentoring across squads Key Requirements Strong experience with .NET Core, C#, APIs, SQL, and cloud ...

solutions for production environments. The role will focus on Agentic AI solutions, RAG pipelines, LLM integrations, and cloud-native AI architecture , working closely with engineering, data, and business stakeholders. Essential Skills & Experience Proven experience designing, developing, and deploying AI/ML and Generative AI solutions into production Hands … Foundry and Azure OpenAI Strong experience building and optimising: RAG pipelines LLM integrations Agent-based workflows Expertise in: Model selection and fine-tuning Prompt engineering Enterprise system integration Solid data science fundamentals , including: Data analysis Feature engineering Machine learning Statistics Desirable Skills Advanced prompt engineering ...

benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice has scaled rapidly through strategic acquisition and a strong delivery pipeline across commercial … step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. Productionising solutions with FastAPI, async ...

benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice has scaled rapidly through strategic acquisition and a strong delivery pipeline across commercial … step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. Productionising solutions with FastAPI, async ...

services experience is beneficial but not essential. Key Responsibilities Design, build, and deploy Generative AI solutions using large language models (LLMs) Develop and optimise prompt engineering strategies for production use cases Build end-to-end pipelines (RAG, embeddings, vector search) for scalable GenAI applications Work with both structured … unstructured datasets, including text-heavy data Collaborate closely with data engineering and software teams to productionise solutions Identify high-impact use cases and contribute to the broader AI roadmap Ensure solutions align with governance, risk, and compliance standards Communicate insights and outputs clearly to both technical and non-technical ...

deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications Build and maintain CI/… Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelors degree in Computer ...

deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications Build and maintain CI/… Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelor’s degree ...

systems and Large Language Models to help design, develop, and deploy advanced AI solutions for our clients. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities. As a senior hire in a growing organisation, your impact will be meaningful from day one. … best practices in LLMOps, AI lifecycle management, and cloud-native AI infrastructure. Share knowledge and support team development as we grow our AI engineering capability. Key Responsibilities Technical Delivery: Act as a hands-on AI and LLM practitioner across client engagements and internal projects. Deliver AI solutions leveraging modern ...

team, focused on delivering practical AI solutions that directly impact front-office and business performance. This is a hands-on role sitting between AI engineering and business delivery , working closely with London-based stakeholders and a global AI function to build, iterate and deploy high-value AI applications. … build solutions, and continuously improve them. Key responsibilities include: Developing and deploying AI/ML solutions using Python and SQL Working with LLMs , including prompt engineering, evaluation and optimisation Engaging directly with business users to scope requirements and translate into technical solutions Building, testing and iterating AI products ...

hands-on role in the evolution of the core product and mobile experience Building and shipping features using modern AI tooling , including LLMs, prompt engineering, and agent-based workflows Improving and shaping the user experience through better product thinking, architecture, and delivery Working closely with the founders … where it looks good on a roadmap Making practical decisions around architecture, integrations, tooling, and technical direction Helping establish the foundations for the future engineering roadmap and team What Were Looking For Strong hands-on software engineering background Experience building and shipping real product in startup, scale ...

hands-on role in the evolution of the core product and mobile experience Building and shipping features using modern AI tooling , including LLMs, prompt engineering, and agent-based workflows Improving and shaping the user experience through better product thinking, architecture, and delivery Working closely with the founders … where it looks good on a roadmap Making practical decisions around architecture, integrations, tooling, and technical direction Helping establish the foundations for the future engineering roadmap and team What We’re Looking For Strong hands-on software engineering background Experience building and shipping real product in startup, scale ...

define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence—both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers … assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering ...

concepts Strong knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices Experience with Generative AI and LLMs (e.g., RAG, fine-tuning, prompt engineering) Desirable Degree in Business, Computer Science, Engineering, or related field Personal Attributes Strong analytical and strategic thinking skills Excellent communication skills with ...

join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity … systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model ...

will directly support clinical and operational decision-making. This is a highly impactful role where youll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. Youll be joining a forward-thinking … engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What youll be doing Youll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. Youll work closely with product ...

directly support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You’ll be joining a forward … thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you’ll be doing You’ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You’ll work ...

grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience ...

grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience ...

systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role You’ll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation → prototyping → production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What We’re Looking For 5+ years in software engineering, with strong ...

deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate engineering delivery Lead advanced AI knowledge-sharing sessions within internal … upskilling initiatives Evaluate emerging AI frameworks, protocols, and tooling Support pragmatic AI adoption across multidisciplinary engineering teams AI Engineer Requirements Essential: Strong software engineering foundations with a production mindset Proven hands-on experience with Large Language Models (LLMs), including API integrations, prompt engineering, agent workflows ...

growing client pipeline. This hire is central to taking that capability to the next level. The Role This is a hands-on AI Engineering role. You’ll be the technical engine behind our AI capability, building production-grade AI solutions for both clients and internal use. You’ll work … directly with our CTO and engineering leadership to extend and scale our internal AI platform while delivering cutting-edge AI solutions into real-world client environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations ...

Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You’ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . … work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You’ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands ...