17 of 17 Contract Prompt Engineering Jobs in the UK

Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. Contract Senior AI Engineer/… Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. You'll work ...

modern data platform and contribute to emerging AI-driven initiatives. This role offers the opportunity to work at the intersection of data engineering, business intelligence, and AI, helping to shape both current analytics capabilities and future data solutions. Key Responsibilities Design, build, and optimise data pipelines and platform components … Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly ...

/Artifacts or related ecosystems. Familiarity with APIs, scripting or languages such as Python to prototype or integrate AI solutions. Awareness of agent orchestration, prompt engineering, RAG and AI evaluation techniques. Experience delivering AI capability-building or upskilling programmes , particularly in the public sector. This … traditional software engineering role - it sits at the intersection of strategy, transformation and hands-on AI build . It would particularly suit someone who enjoys working with stakeholders, shaping direction, and still getting close enough to the technology to make things actually work in practice. ...

development of AI-enabled solutions and establish best practice for the safe and effective deployment of AI agents. This is not a traditional software engineering position. We're looking for someone with practical experience building and implementing AI solutions who can bridge the gap between business and technology teams. … assistants, agent frameworks or similar platforms. Exposure to cloud technologies, APIs and solution integrations. Knowledge of Python, scripting or other programming languages. Understanding of prompt engineering, agent orchestration, RAG or AI evaluation techniques. Experience supporting AI capability building, training or adoption initiatives. Knowledge of AI governance, risk management ...

build tools, Git version control, Jira/Confluence, SQL databases, and Data Warehouses. AI Acumen: A solid understanding of the broader AI ecosystem, including prompt engineering and LLMs. Industry Knowledge: Experience in Financial Services or Insurance is highly desirable, but we welcome strong technologists from all sectors ...

business teams Integrate Databricks/Unity Catalog as data foundation for AI features Write clear specifications before building; ensure proper test coverage Support prompt engineering, evaluation, and iterative improvement of deployed features Collaborate to displace outsourced delivery with in-house AI capability WHO YOU ARE Essential: Hands … production experience with Claude, OpenAI, or similar LLM APIs Strong Python engineering (API design, data pipelines, cloud-native development) Azure experience preferred Security and governance awareness (prompt injection, data boundaries, RBAC) End-to-end ownership mindset Desirable: Agentic frameworks and tool use experience MCP or equivalent connector patterns ...

Microsoft AI solutions within enterprise environments. Strong hands-on experience with Microsoft AI Foundry and the Microsoft AI ecosystem. Expertise in Azure OpenAI , LLMs , Prompt Engineering , Retrieval-Augmented Generation (RAG) and vector search. Experience designing secure AI architectures on Microsoft Azure. Strong understanding of Azure AI Search, Azure ...

production deployment - working directly with business and product teams to drive outcomes in a fast-paced, regulated environment. The ideal candidate brings strong engineering fundamentals, deep practical experience with AI tools and workflows, and the maturity to operate effectively across technical and business audiences. You are comfortable taking ownership … build through UAT and production deployment Own release readiness: manage UAT-to-production transitions, validate operational quality, and ensure solutions meet the firm's engineering and compliance standards Build and maintain CI/CD pipelines and DevOps processes on our client's Azure-based platform, working within established GitOps ...

teams to align architecture with business objectives. Provide technical leadership and governance across AI work streams and delivery teams Drive best practice in AI engineering, model management, and data science operations Evaluate and select appropriate AI frameworks, tools, and cloud services to meet enterprise requirements Support the integration … systems Skills and Experience Proven experience delivering AI solutions at enterprise scale in production environments Strong background in Generative AI — including LLMs, prompt engineering, and model fine-tuning Hands-on experience with Hugging Face (model hub, Transformers, Inference API) Experience with AWS AI services (SageMaker, Bedrock, Rekognition, Comprehend ...

will possess knowledge of integrating and using applied AI systems with a demonstrated ability to build them effectively Possess substantial experience of software engineering practices and be able to take it from concept to implementation and go through the whole lifecycle. You will contribute on two to three immediate … user-facing applications. Experience across the stack (e.g Python, Wagtail, Typescript etc) Experience of Product thinking and UX design skills Experience in natural language prompt engineering to build internal and shareable agentic tools. Ability to work and adapt in complex or ambiguous organisational contexts with strong collaboration skills ...

migration to AWS Bedrock. Utilise your strong C# background to ensure AI agents integrate seamlessly with core enterprise systems, APIs, and data pipelines. Refine prompt engineering, agent autonomy, and guardrails to ensure high performance, security, and accuracy. Proven experience building Agentic AI systems (autonomous agents, multi-agent frameworks ...

Agentic AI or AI-powered applications. Microsoft Copilot Studio. Azure OpenAI. Google Gemini. Generative AI and Large Language Models (LLMs). AI agent development. Prompt engineering. AI governance and responsible AI principles. Enterprise AI platform support or administration. Experience with similar enterprise AI platforms or agentic AI technologies will ...

vector search, indexing strategies Document Intelligence - OCR, form extraction, document processing pipelines Content Understanding - classification, summarisation, enrichment models Azure AI Foundry - model orchestration, evaluation, prompt engineering, governance Solution Design Authority Provide architectural direction to engineering teams, ensuring that design decisions are technically sound, cost-efficient, and aligned … with the target architecture. Technical Leadership & Mentoring Support engineering teams with architectural guidance, design patterns, and best practices. Act as the escalation point for complex technical decisions. Stakeholder Collaboration Work closely with product owners, business stakeholders, data teams, and delivery leads to translate requirements into scalable, secure, and maintainable ...

Enablement & Training Deliver workshops, demonstrations, and training sessions. Create user guides, learning materials, and adoption resources. Provide coaching and support to users on effective prompt engineering techniques. Develop communities of practice and champion networks. Required Skills & Experience Essential Fluent Polish & ideally English Experience with Microsoft 365 administration … Microsoft Copilot for Microsoft 365. Understanding of SharePoint Online, Teams, OneDrive, Outlook, and Microsoft Office applications. Knowledge of AI technologies, generative AI concepts, and prompt engineering. Experience delivering user training and change management initiatives. Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement abilities. Experience gathering business ...

Enablement & Training Deliver workshops, demonstrations, and training sessions. Create user guides, learning materials, and adoption resources. Provide coaching and support to users on effective prompt engineering techniques. Develop communities of practice and champion networks. Required Skills & Experience Essential Fluent Polish & ideally English Experience with Microsoft 365 administration … Microsoft Copilot for Microsoft 365. Understanding of SharePoint Online, Teams, OneDrive, Outlook, and Microsoft Office applications. Knowledge of AI technologies, generative AI concepts, and prompt engineering. Experience delivering user training and change management initiatives. Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement abilities. Experience gathering business ...

Desirable: Experience of source control systems such a git Experience of AGILE approach to software development following GDS principles Experience of using AI/Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB Please advise on availability and rate expectations on application. ...

Support containerised deployments using Docker and Kubernetes Mentor engineers and provide technical leadership across UI development Drive adoption of AI-assisted development approaches including prompt engineering and tools such as Copilot Collaborate with product, UX, backend and DevOps teams across the full delivery lifecycle Required Experience Strong experience … pipelines Strong focus on performance optimisation techniques such as lazy loading and code splitting Experience using AI development tools (e.g., GitHub Copilot) within engineering workflows Nice to Have Event-driven architecture experience (Kafka, async patterns) Observability tools (Prometheus, Grafana, ELK) Frontend security (OAuth2, JWT) Automated testing frameworks (Cypress, Playwright ...