1 to 25 of 44 Permanent Prompt Engineering Jobs in the North of England

workstreams, shape solutions, mentor junior engineers and work closely with stakeholders to deliver practical, high-quality outcomes.The role sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions.You must … implement AI and machine learning solutions where appropriate, including prediction, classification, automation and insight generation.- Build Generative AI-enabled solutions using Large Language Models, prompt engineering and context engineering techniques.- Provide technical direction to project teams, ensuring high-quality, scalable and reliable delivery.- Mentor and support junior ...

support global expansion Summary: Reporting to the AI & Automation Manager, the AI Engineer is responsible for embedding artificial intelligence capabilities into Waystone’s engineering, automation, and assurance ecosystems. Acting as a bridge between cutting‐edge AI technologies and existing high‐code and low‐code platforms, the role focuses … building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering quality, and mentors teams on responsible and effective AI adoption. The mission is to drive innovation, productivity, and intelligent automation across Waystone while upholding ...

insights, and recommendations from both structured and unstructured data. As a Senior engineer, you will provide technical leadership, drive the adoption of modern AI engineering practices, and ensure that AI-powered solutions are robust, scalable, and reliable. Responsibilities Design, develop and maintain Python-based services and data processing solutions … Contribute to the delivery of scalable AI-powered solutions that improve investigative processes through automation and intelligent insights. Help establish and promote modern AI engineering practices, including agentic workflows, prompt engineering and AI-assisted development. Essential Skills Strong Python development experience, including building production-grade services ...

Augmented Generation) solutions leveraging Embeddings and Vector Databases . Develop and orchestrate AI Agents and Multi-Agent Systems to automate complex business workflows. Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. Implement AI solutions using frameworks such as LangChain , LangGraph …/CD practices. Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety. Collaborate with business, data, and engineering teams to drive AI adoption and innovation. Required Skills AI , Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP) Prompt Engineering , Context Engineering ...

support global expansion SUMMARY Reporting to the AI and Automation Manager, the Lead Automation Engineer will be vital to the success of Waystone’s engineering, integration, automation and assurance capabilities. The role leads the design, delivery, governance and continuous improvement of automation across Waystone, where the process … increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations and AI safety. ESSENTIAL DUTIES AND RESPONSIBILITIES Act as Waystone’s technical ...

Forward Deployed AI Engineer Permanent | Hybrid Leeds | AI Engineering + Forward-Deployed Engineering | Salary up to £100,000 The Opportunity A growing technology consultancy is building an AI-native engineering capability and is looking for a Deployed AI Engineer to help deliver real-world AI solutions … clients. The role combines AI Engineering, Software Engineering and Forward- Deployed Engineering, with ownership across discovery, architecture, build and production. Working in a small delivery pod, the engineer will build directly with client data and within their environments, taking ideas from prototype to MVP in weeks. Between ...

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 ...

building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling … standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This ...

varying learner and employer requirements. AI Adoption & Workplace Application: Support employers to adopt and embed AI technologies within their organisations. Deliver practical training covering: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related technologies Promote responsible AI usage, including governance, ethics and data … Proactive, adaptable and solution-focused approach. Desirable Experience delivering AI or digital apprenticeship standards. Experience with Copilot Studio and Power Platform technologies. Knowledge of prompt engineering and AI adoption strategies. Understanding of automation tools and workflow design. Awareness of apprenticeship funding and compliance requirements. Teaching or training qualification ...

varying learner and employer requirements. AI Adoption & Workplace Application: Support employers to adopt and embed AI technologies within their organisations. Deliver practical training covering: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related technologies Promote responsible AI usage, including governance, ethics and data … Proactive, adaptable and solution-focused approach. Desirable Experience delivering AI or digital apprenticeship standards. Experience with Copilot Studio and Power Platform technologies. Knowledge of prompt engineering and AI adoption strategies. Understanding of automation tools and workflow design. Awareness of apprenticeship funding and compliance requirements. Teaching or training qualification ...

varying learner and employer requirements. AI Adoption & Workplace Application: Support employers to adopt and embed AI technologies within their organisations. Deliver practical training covering: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related technologies Promote responsible AI usage, including governance, ethics and data … Proactive, adaptable and solution-focused approach. Desirable Experience delivering AI or digital apprenticeship standards. Experience with Copilot Studio and Power Platform technologies. Knowledge of prompt engineering and AI adoption strategies. Understanding of automation tools and workflow design. Awareness of apprenticeship funding and compliance requirements. Teaching or training qualification ...

build automated and semi-automated evaluation frameworks, and validate both deterministic software behavior and non-deterministic AI outputs. This role works closely with AI Engineering, Product, Operations, Engineering, business analysts, business owners, and subject matter experts to build quality into AI products from the start and provide … accuracy, consistency, structured-output quality, policy adherence, and business-rule compliance of LLM outputs Detect, document, and reproduce AI-specific failure modes, including hallucinations, prompt injection, inconsistent outputs, formatting errors, data leakage, bias, unsafe responses, and model or prompt-update regressions Build automated and semi-automated AI evaluation ...

Description Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code … Senior AI Software Engineer, you will play a key role in designing, developing, and implementing intelligent software solutions that drive innovation, improve engineering productivity, and deliver measurable business value. You will work closely with AI Architects, Data Engineers, Data Scientists, Product teams, and Engineering colleagues to build scalable ...

execute planning workflows Own the team's delivery roadmap, working closely with product management to prioritise features and manage technical trade‐offs Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns Lead sprint planning, technical design reviews, and retrospectives to ensure consistent delivery … velocity and quality Collaborate with AI Solutions Architects to translate architectural vision into executable engineering plans Build and maintain CI/CD pipelines for AI applications, including automated testing and prompt regression suites Partner with platform teams to ensure AI features integrate seamlessly with Anaplan's core infrastructure ...

greenfield opportunities as fuel rather than fear—whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production reality, or a seasoned practitioner who recognizes that this moment demands courage over caution. If you're motivated … someone who wants to remain deeply hands‐on while operating at a senior level. You will contribute technical expertise, influence decision‐making through strong engineering judgment, and partner closely with engineering leaders, product teams, and fellow engineers to deliver innovative AI solutions at scale. This is a senior ...

execute planning workflows Own the team's delivery roadmap, working closely with product management to prioritise features and manage technical trade‐offs Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns Lead sprint planning, technical design reviews, and retrospectives to ensure consistent delivery … velocity and quality Collaborate with AI Solutions Architects to translate architectural vision into executable engineering plans Build and maintain CI/CD pipelines for AI applications, including automated testing and prompt regression suites Partner with platform teams to ensure AI features integrate seamlessly with Anaplan's core infrastructure ...

lead the design, architecture, and delivery of AI-powered solutions across client and internal projects. This role bridges business requirements, data science, software engineering, and cloud infrastructure to create scalable, secure, and production-ready AI systems. The ideal candidate combines strong technical expertise with stakeholder management skills … knowledge management systems. Generative AI Experience Design and scale LLM-based applications, including multi-model routing, context management, and cost/latency optimisation. Prompt engineering strategies. Agentic AI systems. RAG design patterns, including chunking strategies, re-ranking, hybrid search, and evaluation Evaluation and monitoring frameworks covering hallucination detection ...

layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most ...

frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience with AWS or Azure, Docker and ideally Kubernetes Experience with PostgreSQL, MongoDB or similar databases Experience with CI/… using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role? You'll work ...

frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience with AWS or Azure, Docker and ideally Kubernetes Experience with PostgreSQL, MongoDB or similar databases Experience with CI/… using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role? You'll work ...

GCP. Understand how AI can be embedded into business processes, customer journeys and decision-making, working collaboratively with business, product, design and engineering teams to deliver practical solutions. Support deployment, adoption and change by translating complex technical concepts into clear recommendations and practical experiences for business users, while contributing … ability to apply technology to practical challenges. Data & AI Transformation Experience: Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry. Ability to translate business challenges and user needs into practical data and AI solutions. Experience working in Agile or iterative delivery teams, with ...

Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What … agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute ...

innovation with practical delivery, ensuring data and AI become genuine differentiators across products, services and internal operations. Work closely with the executive team, Product, Engineering, Architecture and Security, to drive the AI roadmap, priorities and delivery outcomes. Key Responsibilities: Define and deliver the Data & AI strategy, roadmap and technical … scale successful solutions into production. Own the data platform strategy, ensuring well-governed data underpins AI and analytics initiatives. Establish robust MLOps and engineering practices covering deployment, monitoring, experimentation and governance. Champion practical AI adoption across Product and Engineering to improve ways of working. Build, lead and develop ...

data integrity Collaborate across teams – Partner with product managers, analysts, and other engineers to understand requirements and deliver solutions that meet business needs Apply engineering best practices – Follow SOLID principles and design patterns, participate in code reviews, solve technical challenges, and contribute to code quality Support and improve systems … technology – Learn and experiment with emerging technologies, share knowledge with the team, and contribute to continuous improvement What You Need to Have: Full-Stack Engineering Experience – 7+ years of hands‐on experience building enterprise applications and modern web technologies in production environments Software Engineering Fundamentals – Strong understanding ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions … delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with ...