76 to 100 of 178 Prompt Engineering Jobs in the UK

SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. Full-Stack Impact: While focused on AI, you’ll work across … shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability to articulate complex technical decisions ...

collaboration platforms Desirable Experience delivering apprenticeships or formal training programmes Familiarity with project-based learning, portfolios, and workplace coaching Knowledge of emerging AI technologies, prompt engineering, and automation tools Understanding of Ofsted/ESFA expectations for apprenticeship delivery Relevant certifications (e.g. BCS AI Foundation, Microsoft AI, Google … cases. Sessions build confidence, digital capability, and responsible practice in applied AI. Commercial Awareness: Demonstrates a strong ability to connect AI concepts—such as prompt engineering, automation, data literacy and AI‐supported decision making—to real‐world business needs, organisational impact and commercial value. Innovation & Improvement: Actively enhances ...

enterprise AI projects. As a Nascent Associate, you'll: Train on the full Claude stack — Claude Agent SDK, Claude Code, Model Context Protocol (MCP), prompt engineering, and production-grade context management Join a certified contractor network and access a pipeline of enterprise clients Work flexibly — engage on projects … exam which assesses practical decision-making across five domains: Agent architecture & orchestration Tool design & MCP integration Claude Code configuration & CI/CD workflows Prompt engineering & structured output Context management & reliability Nascent will cover the cost of all training and certification in full. There is no obligation to associate ...

making across complex digital transformation programmes. With access to cutting edge AI frameworks, high performance computing environments, and modern data platforms, you will guide engineering and data science teams in building secure, scalable, and ethical AI systems. This role empowers you to shape end to end AI ecosystems-accelerating … more intelligent, AI enabled future. Key Responsibilities Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops ...

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI/Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering … impact Model Deployment & MLOps Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment Maintain and optimize model performance, accuracy, and efficiency over time Product Integration Integrate AI capabilities into core ...

Connect to your Industry Deloitte’s AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our client’s lead and win through the transition to a low‐carbon, digitally enabled, prosperous, equitable and resilient economy. We take work … Generative AI strategies aligned with business goals. Lead the design, development, and implementation of advanced AI pipelines, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale. Oversee the development and operationalisation of state-of-the-art AI models, including large language models (LLMs), diffusion ...

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 ...

LinearB is an engineering productivity platform that empowers engineering teams with actionable insights and workflow automation. Our solutions help improve developer productivity and experience, enable predictable project delivery, and drive profitable engineering. Join us to be part of an innovative company driving efficiency and excellence in software development. … market excellence, ensuring cross-functional alignment, and building the systems that enable consistent, high-quality execution. Your buyer is a VP or Director of Engineering navigating AI adoption, delivery reliability, and developer experience at scale. You need to understand their world, speak their language, and build the GTM infrastructure ...

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 ...

autonomy of a startup founder, backed by the resources, scale, and rich data of a heritage media institution. What You’ll Be Doing Core Engineering & Prototyping Ship at Velocity: Build AI-powered solutions rapidly using AI-native development approaches, leveraging tools like Claude Code and agentic engineering techniques … elegant architecture, ensuring rapid prototypes evolve into scalable production systems. Strategic Impact Multiply Capabilities: Create APIs, integration patterns, and developer experiences that allow other engineering teams to leverage your AI capabilities seamlessly. Establish Guardrails: Design and implement lightweight, pragmatic technical standards for responsible and ethical AI deployment without sacrificing ...

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 ...

deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes. This is a hands-on, client-facing engineering role, combining … engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions. Role Responsibilities Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value. Design, develop, and deploy ...

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 ...

workflows that remove friction and boost efficiency across the business (e.g. document processing, bank statement parsing, news summarisation) Develop LLM-based applications using RAG, prompt engineering, and fine-tuning where it drives measurable gains Manage AI infrastructure and tool integrations (API gateways, MCPs, external services) with appropriate governance … with occasional ownership of monitoring and iteration Maintain code quality through testing, version control and CI/CD practices Requirements 3+ years in software engineering or AI application development, with shipped production projects Proficiency in Python and SQL Experience building LLM-based applications (e.g. OpenAI, Azure OpenAI, LangChain, etc. ...

rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University … Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery ...

area. This role operates at a Principal level , influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. … build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence Manage cross team technical dependencies to enable independent ...

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 ...

frameworks to ensure responsible AI/ML model deployment. Use Python to automate processes and optimise workflows. Handle large datasets, including data preprocessing, feature engineering, and model evaluation. Lead the agile development of AI solutions from concept through deployment and ongoing improvement. Create and maintain comprehensive technical documentation. Communicate … complex AI concepts clearly to stakeholders at all levels. What you'll bring: Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks ...

with LLM APIs and deep understanding of capabilities, limitations, and failure modes. Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering. Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions. Strong Python ...

function. You'll build functioning prototypes, not just static maps. You'll get them in front of real users early. And you'll hand engineering something concrete to build from. About Money Means Money Means exists because good financial advice has always been a privilege, and we think that … production. Stress-test prototypes with real users to find where conversations break, where utterances deform the intended pattern, and where guardrails are needed before engineering builds. Define and document what "correct" looks like for different journey types, and produce reference conversations that serve as inputs for AI training, eval ...

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 ...

whiteboarding architecture with engineers. You will operate across client-facing and internal contexts: leading solution design for new engagements, defining reference architectures, mentoring engineering leads, and championing an Agentic AI-first delivery culture across the organisation. Core Responsibilities • Own end-to-end solution architecture for complex, multi-market mobile … Apps), and AI agent integration (LangChain, CrewAI, Claude) • Conduct solution reviews, architecture governance, and technical risk assessments across delivery squads • Mentor and coach Engineering Leads and Senior Engineers on architecture best practices, AI tool adoption, and technical decision-making • Define non-functional requirements (performance, scalability, security, accessibility) and ensure ...