51 to 75 of 441 Prompt Engineering Jobs in the UK

Lynx Recruitment are looking for a Technical Consultant to join a leading AI consultancy, working across AI, software development and product engineering to deliver innovative solutions for clients. You will work with clients, consultants, engineers and delivery teams to understand complex challenges, explore emerging technologies and turn ideas into … understand business and technical challenges. Design and develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering ...

Lynx Recruitment are looking for a Technical Consultant to join a leading AI consultancy, working across AI, software development and product engineering to deliver innovative solutions for clients. You will work with clients, consultants, engineers and delivery teams to understand complex challenges, explore emerging technologies and turn ideas into … understand business and technical challenges. Design and develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering ...

specifications for agentic systems and agent-to-agent (A2A) communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows. Design prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases. Collaborate with product … engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing ...

Lynx Recruitment are looking for a Technical Consultant to join a leading AI consultancy, working across AI, software development and product engineering to deliver innovative solutions for clients. Check below to see if you have what is needed for this opportunity, and if so, make an application asap. … understand business and technical challenges. Design and develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering ...

products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world's most complex multinational employers. You will deliver hands-on engineering across Next.js and React front ends and C# and .NET services running on Microsoft Azure, working in a highly regulated, multi-jurisdictional environment where … operational tooling. Experience delivering systems in regulated or compliance-oriented environments (security controls, auditability, privacy, sensitive financial or personal data handling). Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs—with attention to accuracy and reconciliation in calculation-heavy systems. Experience with ...

hands-on, technically fluent Product Manager who can move with equal confidence between a business stakeholder describing an operational problem and an engineering team designing the solution. This is not a traditional product management role - it sits at the intersection of product, technology, and operational transformation, working in small … sequence the most valuable use cases against available investment. Rapid Prototyping and Discovery Lead intensive discovery phases with Fund Services operations, product, and engineering teams to uncover problems, define use cases, and co-create working prototypes rapidly. Facilitate design sprints and workshops that compress the time from problem identification ...

Engineer to design, build, and deploy production‐grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You’ll work with cutting‐edge LLM technologies, building advanced … that makes these systems production‐ready—handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You’ll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non‐deterministic systems that users can trust. Responsibilities Design ...

needed to take AI solutions safely into production. The Role Design, build and productionise AI-enabled features and services using large language models, RAG, prompt engineering and agent frameworks/orchestration (such as LangChain, LangGraph or Semantic Kernel). Take AI solutions beyond prototype, owning evaluation, testing, guardrails … capability spreads. Challenge established development processes and procedures, particularly how AI agents are integrated into the SDLC, and work closely with the Engineering Leads on tooling adoption and delivery outcomes. Track AI and agentic technology trends outside the organisation and apply them pragmatically to our products, whilst developing deep ...

improve the accuracy, safety, and performance of AI systems. Ensure all AI solutions are secure, scalable, reliable, and production-ready. Collaborate closely with engineering, product, and subject matter experts to deliver impactful AI initiatives. Stay current with emerging AI technologies, tools, frameworks, and industry best practices to drive continuous … Azure AI Search. Experience building and supporting Retrieval-Augmented Generation (RAG) solutions. Experience working with OpenAI and other modern AI platforms. Expertise in prompt engineering, prompt evaluation, and optimisation techniques. Experience developing real-time AI and audio-processing pipelines. Experience deploying AI applications in cloud environments, ideally ...

Staff AI Engineer London Engineering In office Full-time The Role We’re looking for a Staff AI Engineer who thrives at the intersection of software engineering, data and AI. This role is ideal for engineers who have experience building real, lovable products leveraging state … techniques and modern technologies.. You’ll own the full lifecycle of AI applications: building data pipelines, prompt & feature engineering , integrating models into high throughput, low latency services, and deploying production-ready , AI powered features that delight our 70+ million users. What You’ll Own Build, deploy, and maintain ...

Familiarity with investment research, portfolio construction, performance analysis, or investment workflows. Hands-on experience with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), prompt engineering, information extraction, evaluation frameworks, and agentic workflows. Significant experience in AI engineering, data engineering, software engineering, or a related … into practical technical solutions. Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders. Degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline, or equivalent practical experience. Experience with Microsoft Azure, Microsoft Fabric, Microsoft 365 Copilot, or other enterprise AI platforms. ...

scalable, secure, resilient, and cost‐aware in production. Manage delivery execution: architecture decisions within scope, technical risks, dependencies, quality checks, and blocker resolution. Apply engineering standards, reusable frameworks, and accelerators to improve delivery quality and speed. Take accountability for delivery quality, timelines, and outcomes within your workstream. Technical Direction … Design generative AI solutions: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and integration. Build solutions for insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact‐center copilots). Design and tune RAG systems: chunking, embeddings, vector stores, retrieval tuning, and grounding ...

product road map on time and in line with sprint planning deadlines. Reports to Senior Lead Engineer with Line management responsibility Key Relationships Engineering Team Product Team Main Tasks General 1 Design, develop and deploy advanced machine learning and deep learning models and pipelines. 2 Collaborate with cross-functional … optimise deployment workflows on Vertex AI. 6 Lead the end-to-end development of LLM applications, utilising RAG (Retrieval-Augmented Generation), Agentic workflows and prompt engineering strategies. 7 Monitor, optimize, and fine-tune models in production environments. 8 Contribute to the architecture and design of the company ...

Insights team within the Global Technology Division sits at the centre of that effort — pairing deep asset-management business domain knowledge with hands‐on engineering to turn emerging AI capability into working solutions. We are seeking a Forward Deployed AI Engineer to embed directly with our Investment, Client & Support … entire lifecycle, from design and testing through to documentation. You will build on platforms such as Microsoft (Copilot, Cowork, Studio, Foundry) then work with engineering and the broader AI platform team to generalise what you learn into reusable platform capabilities. The successful candidate combines strong business understanding across asset ...

investing in our product, growing an exceptional team, and taking on bigger challenges as we enter our next stage of growth. The engineering team is small and deliberately so. There are no product managers, no designer handoffs, no tickets waiting for someone else to prioritise. Engineers own the full … report directly to Maarten, our CTO. We care deeply about what we build and we genuinely enjoy building it together. Dig deeper into our Engineering/Product ways of working here What we're building and why Conveo is the AI research platform enabling fast, affordable, and high quality ...

Insights team within the Global Technology Division sits at the centre of that effort — pairing deep asset-management business domain knowledge with hands-on engineering to turn emerging AI capability into working solutions. We are seeking a Forward Deployed AI Engineer to embed directly with our Investment, Client & Support … entire lifecycle, from design and testing through to documentation. You will build on platforms such as Microsoft (Copilot, Cowork, Studio, Foundry) then work with engineering and the broader AI platform team to generalize what you learn into reusable platform capabilities.The successful candidate combines strong business understanding across asset management ...

scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team … modelling, classification, segmentation, anomaly detection, and forecasting. Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate ...

operations. Creating AI assistants, copilots and agent-based workflows to enhance analyst productivity. Implementing Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources. Applying prompt engineering techniques to optimise AI performance and accuracy. Integrating AI capabilities with SIEM, SOAR and other cyber security platforms. Establishing evaluation frameworks … developing solutions using the OpenAI Platform and APIs . Strong understanding of Large Language Models (LLMs) and Generative AI technologies. Hands-on experience with Prompt Engineering and AI optimisation techniques. Proven experience implementing RAG architectures and knowledge retrieval solutions. Knowledge of Agentic AI and multi-agent orchestration frameworks. ...

operations. Creating AI assistants, copilots and agent-based workflows to enhance analyst productivity. Implementing Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources. Applying prompt engineering techniques to optimise AI performance and accuracy. Integrating AI capabilities with SIEM, SOAR and other cyber security platforms. Establishing evaluation frameworks … developing solutions using the OpenAI Platform and APIs . Strong understanding of Large Language Models (LLMs) and Generative AI technologies. Hands-on experience with Prompt Engineering and AI optimisation techniques. Proven experience implementing RAG architectures and knowledge retrieval solutions. Knowledge of Agentic AI and multi-agent orchestration frameworks. ...

Role We're seeking a versatile Principal Data Engineer who can work across the full stack of Anaplan AI applications, from model integration, prompt engineering and set the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic … time. This will help business users use GenAI in their planning workflows. You'll need both deep knowledge of machine learning and strong data engineering skills. Your Impact Design and build the retrieval layer powering RAG and agentic workloads—including vector and graph databases, hybrid search, and architecting knowledge ...

7+ years in developing IT solutionsProficient in Python & ReactJS and related technologies is required.Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essentialExperience with Agentic AI development & Java Spring Framework would be advantageousUnderstanding of full stack development and architecture patterns.Experience ...

developing IT solutions* Proficient in Python & ReactJS and related technologies is required.* Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essential* Experience with Agentic AI development & Java Spring Framework would be advantageous* Understanding of full stack development and architecture ...

client delivery teams, responsible for designing, building, and operating production-grade agentic AI systems on AWS. This role sits at the intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock and its surrounding … systems with observability and tracing tooling — CloudWatch, spans, and traces — to support debugging, performance monitoring, and compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends ...

Prompt Engineer, Claude, LLM £690 per day | Outside IR35 | Fully Remote | Contract We're looking for an experienced Prompt Engineer to support a major AI-enabled transformation programme. Working closely with business stakeholders and technical teams, you'll be responsible for translating requirements into high-quality prompts, instructions … hallucination management. Collaborate with business and technical teams throughout delivery. Required Experience: Strong experience with Claude and Claude Code . Proven background in prompt engineering, prompt design and optimisation . Excellent requirements gathering and stakeholder engagement skills. Ability to translate business needs into effective AI solutions. Strong ...

civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department’s legacy and multi-cloud systems. Prompt Engineering … self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows ...