76 to 100 of 120 Prompt Engineering Jobs in the UK

and open-source LLMs, Retrieval-Augmented Generation (RAG), model fine-tuning, structured output, and external connectors. Collaborate with instructional designers to refine and optimize prompt engineering for enhanced learning outcomes. Develop and maintain backend services, ensuring robust, well-architected, and well-tested production-grade code. Foster a passion More ❯

to solve complex problems and a willingness to learn. Experience in and strong knowledge of using AI/ML and more particularly LLMs e.g. Prompt engineering techniques Agentic systems Multiple LLM models Experience in using LLMs for document processing tasks would be beneficial. Proficiency in Python and specifically More ❯

Familiarity with frameworks such as NIST, MITRE ATT&CK, or CIS Controls. Familiarity with risk management concepts. Familiarity with GenAI technologies - specifically LLM based prompt engineering. Salary, Benefits and Work-Life Balance At Admiral, we are proud to be a diverse business where we put our people and customers More ❯

real, working products. What Youll Do: Own and drive the execution of complex, AI-powered product initiatives from idea to delivery. Collaborate closely with engineering, design, and business teams to define problems and build solutions. Translate evolving business needs into clear product requirements and workflows. Stay on top of … whats happening in GenAI, agentic systems, prompt engineering, and related toolsand bring those insights into your work. Get hands-on with detailswhether thats diving into a user flow, exploring an API, or testing prompts. Work in a fast-moving, experimental environment where iteration is constant and direction can … What Were Looking For: Strong program or product management experience (ideally 5+ years) in tech-driven environments. A technical backgroundwhether thats a CS degree, engineering experience, or just a deep love of how things work under the hood. Solid understanding of AI trends, LLM capabilities, vector databases, agent frameworks More ❯

experience building applications with advanced technology under the hood . This is an opportunity to be part of a team that's pioneering modern engineering practices, from assisted coding workflows to intelligent automation in app development. If you're an engineer who is always experimenting with the latest tools … and AI-enhanced problem-solving . The nice-to-haves Experience in full-stack development (Node.js, Next.js, or serverless architectures) . Familiarity with AI prompt engineering techniques . Experience with iOS/Android development (React Native, Swift, Kotlin) . Exposure to design systems and modular UI frameworks . … product development, enterprise apps, or high-growth startups . At ASquared, we're building the next generation of digital products by embracing AI-first engineering . You'll work in an environment where AI isn't just a buzzword-it's deeply integrated into how we code, ship, and More ❯

art evaluation pipeline. You will be leading the development of this pipeline and benchmarking the performance of the proprietary algorithms on large datasets. LLM prompt engineering. Research and implement state-of-the-art prompting methods to maximise the efficacy of the LLM models and algorithms. Must haves: Expert in … Python. Industry experience of shipping algorithms and/or evaluation pipelines into production. Experience with prompt engineering and large language models. Familiarity with back-end development and Postgres databases. Experience with front-end development (Typescript/React). Extremely clear writer and communicator. Nice to haves: Publications at More ❯

it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external More ❯

models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity/our assessment does not miss capabilities that might be present in the … research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise … that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class More ❯

models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting … research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise … that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class More ❯

models to act in such environments. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity/our assessment does not miss capabilities that might be present in the … research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise … that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class More ❯

should be comfortable in using AWS and terraform. Proficiency in queue management and observability. Experience with orchestration tools like Docker. Knowledge of GenAI and prompt engineering is a plus. You thrive most during the initial years of a company's inception, particularly relishing the dynamics of small team More ❯

our customers from proof-of-concept through implementation and scaling. You'll work closely with our sales team to architect solutions, collaborate with our engineering team to enhance our platform and partner directly with customers to ensure their success. Day to day, you will Drive technical discovery and solution … on technical discovery, demo development, and solution scoping Provide hands-on implementation support and best practices guidance to customers Collaborate with our world-class engineering team to build the tools you and our customers need Build deep expertise in our customers' domains and processes, becoming their trusted technical advisor … technical role at early-stage and growing B2B SaaS companies Strong technical background with hands-on experience implementing enterprise software solutions Demonstrated expertise in prompt engineering and LLM application development (ChatGPT, Claude, or similar) Experience working directly with enterprise customers to gather requirements and design solutions Exceptional problem More ❯

fast, iterate, and make an impact. Key Responsibilities: Own end-to-end product features across frontend and backend Collaborate with design, product, and legal engineering to deliver polished, AI-native workflows Help architect and evolve our codebase for performance, scale, and developer experience Contribute to shaping engineering practices … its best practices-and you love helping define them. Bonus: Experience working on internal legal tools, legal ops software, or compliance platforms. Curiosity around prompt engineering, user intent modeling, or AI reasoning is also a plus. More ❯

in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client More ❯

in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client More ❯

stage. Ability to rapidly prototype and iterate on AI-driven workflows, ensuring solutions are both technically sound and aligned with business objectives. Expertise in prompt engineering best practices, demonstrated through successfully rolled out solutions. Must have experience in integrating enterprise wide knowledge into AI assistants to optimal results More ❯

A PhD or similarly strong academic background in machine learning, with 2+ years of hands-on experience in LLM fine-tuning, RAG systems, and prompt engineering. Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV. A solid understanding of transformer models and their common variants, loss functions, and More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or … Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. … market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. We lead transformation at the heart of our clients; re-engineering the core of our clients' organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees. Our hybrid working policy More ❯

Work hand-in-hand with the chatbot dev team on release cadences and incident response. Essential skills Hands-on fine-tuning of LLMs and prompt-engineering in Python. Azure ML, Cognitive Services, or comparable cloud ML stack. Data labelling tooling (Label'studio, Prodigy, Scale, or similar). Statistical More ❯

Advanced Excel proficiency (PivotTables, visualizations, and VLOOKUP/XLOOKUP) and intermediate Power BI skills (Data modelling, report automation). Appreciation and experience toward AI prompt engineering/querying LLMs. ITIL Foundation certification (or strong working knowledge of ITIL/ITSM) and experience with IT service processes, including CAB More ❯

developing and optimising production-grade AI systems, particularly with transformer-based architectures Impeccable history of academic achievement within secondary education Proven track record in prompt engineering for complex use cases, with demonstrable examples of novel applications that pushed boundaries Deep expertise in fine-tuning and optimising multi-LLM More ❯