19 of 19 Contract Prompt Engineering Jobs in the UK

Language Models (LLMs) . You will bridge the gap between business requirements and technical execution, overseeing the entire lifecycle from initial scoping and data engineering to model deployment and prompt optimization. Key Responsibilities Business Alignment: Partner with stakeholders to define project scope, translate business problems into technical specs … ensure high-quality inputs for ML models. Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies. Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors. Evaluation & Optimization: Define metrics ...

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 ...

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 ...

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 ...

variety of generative models Indepth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing Handson in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases Develop and deliver upskilling sessions ...

design, build, and delivery of an end-to-end internal AI-enabled helpdesk and workflow automation platform. This role combines hands-on full-stack engineering with technical leadership and delivery accountability, owning solutions across web UI, Back End services, APIs, AI/agent orchestration, and enterprise integrations. The successful … solution design across Front End, Back End, APIs, and AI/agent workflows. Make architectural decisions aligned to technology standards, cloud strategy, and engineering best practices. Provide hands-on guidance, code reviews, and mentoring to engineers within the delivery team. Ensure non-functional requirements are met, including security, performance ...

Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling, and orchestration frameworks Ability to work autonomously in a scale-up environment A product-focused mindset — you enjoy owning features ...

onsite) Rates: Up to £900 p/d DOE (Inside IR35) I'm looking for an experienced ML Engineer to join a central AI engineering function responsible for building and scaling enterprise-grade agentic AI capabilities across a global organisation. This team owns the core AI enablement platform used … internally to support AI agents, orchestration workflows, knowledge retrieval, and secure tool integration at scale. The environment is highly engineering-focused, combining platform thinking with hands-on AI delivery. The role will involve designing and building MCP servers, AI tools, orchestration Skills, and secure API integrations that expose enterprise ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...

Experience Hands-on experience with Microsoft Copilot/Copilot Studio Proven experience building AI agents using Azure AI/Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast ...

such as Claude, Cursor, or GitHub Copilot Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracy Desirable, but no essential: Experience with ...

such as Claude, Cursor, or GitHub Copilot Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracy Desirable, but no essential: Experience with ...

training programmes focused on Microsoft Copilot Develop role-based learning journeys and training frameworks Create training assets including: Slide decks Hands-on exercises Prompt libraries Job aids and quick reference guides 3. Training Delivery & Adoption Deliver live training sessions (on-campus and virtual where required) Facilitate hands-on workshops … Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams) Training design tools (PowerPoint, eLearning tools, content authoring tools) Learning platforms (Moodle or similar VLE systems) Prompt engineering and AI workflow design tools Experience Required Proven experience delivering enterprise-scale training programmes across multiple teams or organisations Experience ...

Dynamics, Azure, and third-party APIs. Implement retrieval-augmented generation (RAG) patterns, including knowledge libraries, data sources, grounding, and prompts. Optimize agent behavior through prompt engineering and iterative tuning. Collaborate with business teams to identify automation opportunities and convert requirements into agent designs. About You Experience building copilot ...

tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle-from initial conceptualisation and prompt engineering to production deployment. As a Data Scientist, you will act as the technical architect behind our AI solutions. You won't just ...

Microsoft 365 applications (Word, Excel, PowerPoint, Outlook, Teams, OneNote, OneDrive) Strong working knowledge of Microsoft 365 Copilot or similar generative AI tools, including prompt engineering techniques Experience with NetDocuments Experience supporting mobile devices and associated applications Experience using eLearning development tools Experience delivering remote training via Teams ...

central requirements are: Eligible to get a SC Clearance (ideally active for a quicker start) Python AWS CDK Experience of using AI/Prompt engineering to aid development Call me, Alex Manea, at NonStop Recruitment now for a confidential conversation. Contact me on a.manea@nonstopconsulting .com or (phone ...

central requirements are: Eligible to get a SC Clearance (ideally active for a quicker start) Python AWS CDK Experience of using AI/Prompt engineering to aid development Call me, Alex Manea, at NonStop Recruitment now for a confidential conversation. Contact me on a.manea@nonstopconsulting .com or (phone ...

strategic direction into product content and to influence consensus-building across systems and brands. Demonstrated curiosity to explore and apply emerging AI technologies, including prompt engineering and structured content, to enhance strategy and operational efficiency. Experience applying human-centered design practices to content challenges across systems and brands. ...