76 to 100 of 130 Prompt Engineering Jobs in the UK excluding London

delivery of full-stack applications, owning technical direction from architecture through production deployment Drive technical decisions and trade-offs, communicating rationale clearly to both engineering peers and non-technical stakeholders Leverage generative AI tools (coding assistants, LLM APIs, AI-augmented workflows) to accelerate development, improve code quality, and build … asked Collaborate across business units, translating ambiguous business needs into well-scoped technical solutions Elevate the team through code reviews, technical mentorship, and establishing engineering best practices Rapidly learn and become productive in unfamiliar codebases, technology stacks, and problem domains Troubleshoot and resolve complex issues spanning the full stack ...

escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing … Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations Maintain stakeholder expectations, communicate trade-offs of AI-driven solutions (accuracy, latency, cost, risk ...

foundational building blocks for AI adoption across AVEVA's product portfolio and partner ecosystem. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility … start-up. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software. Key Responsibilities: Serve as the technical authority for core services owning design, reliability and performance. ...

foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility … start-up. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software. Key Responsibilities: Serve as the technical authority for core services owning design, reliability and performance. ...

review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts Experience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation … e.g., CLO, CMBS, RMBS, ABS) Proven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflows Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern ...

like token rotation. By leveraging Python, Go, React, and TypeScript, you will create in-house applicationsfrom compliance dashboards to automated release enginesthat solve complex engineering challenges. Automation is central to this role. You will identify repetitive tasks and use AI tools to reduce toil, allowing you to focus … includes an on-call requirement. This role is eligible for inclusion in the Companys hybrid work from home policy. Qualifications Commercial experience in software engineering, DevOps, or platform roles Proficiency in scripting and programming languages such as Python or Bash Strong understanding of version control systems like GitLab ...

like token rotation. By leveraging Python, Go, React, and TypeScript, you will create in-house applicationsfrom compliance dashboards to automated release enginesthat solve complex engineering challenges. Automation is central to this role. You will identify repetitive tasks and use AI tools to reduce toil, allowing you to focus … includes an on-call requirement. This role is eligible for inclusion in the Companys hybrid work from home policy. Qualifications Commercial experience in software engineering, DevOps, or platform roles Proficiency in scripting and programming languages such as Python or Bash Strong understanding of version control systems like GitLab ...

part of a diverse, ambitious team that celebrates creativity and collaboration. CAPABILITY/JOB FAMILY GROUP: Artificial Intelligence JOB FAMILY: AI Engineering JOB PROFILE TITLE: AI Solution Architect MANAGEMENT LEVEL: Manager Job Profile Description As an AI Solution Architect in Actonomy, you’ll be the technical lead … Forward Deployed Engineers working hands-on inside customer environments to turn ambitious AI ideas into production reality. It’s a role that combines engineering, consulting and product thinking, so you’ll be as comfortable in front of a customer as you are in the code. As a technical leader ...

building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable … replace manual effort and improve outbound precision. The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how our client builds and scales its commercial engine. What Youll ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

technical direction while driving the quality, scalability, and reliability of next‐generation AI‐powered systems. This role operates at the intersection of research, software engineering, and advanced testing, transforming cutting‐edge ideas into robust, production‐ready platforms. This is a senior individual contributor leadership role: the Senior AI Engineer … across the company, and define a coherent platform vision that scales beyond your immediate team. Design reusable abstractions, SDKs, and services for model integration, prompt management, experimentation, and deployment that establish organization‐wide patterns and reduce duplicated effort. Research and delivery excellence Help define the evaluation strategy and methodology ...

workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science … building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content ...

Ten10, we have deep roots in Quality which means we dont just build for the future, we ensure it actually works. We combine this engineering discipline with cutting-edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. Heres why youll love being part … data or transformation projects. Project experience with Microsoft AI technologies, including Microsoft Copilot Studio and/or Microsoft Foundry. Understanding of AI agent design, prompt engineering and evaluation techniques. Whats in It for You? At Scale Factory, we believe in recognising and rewarding great work. Heres what ...

London office Tuesday to Thursday Nice to have: Experience in fintech, financial services or other regulated environments Familiarity with RAG pipelines, embeddings, prompt engineering or agentic frameworks Cloud platform experience (AWS/GCP/Azure), CI/CD, infrastructure-as-code Open-source contributions or a portfolio ...

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 … LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into ...

client is a global professional services and technology consultancy. YOU ARE You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable … sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well-versed in Python, with experience ...

delivering complex technical training in Data Science, Python, and GenAI, virtually and in person. Strong knowledge of machine learning concepts, the NumPy ecosystem, and prompt engineering is a must. You'll also need the ability to design engaging courseware and act as a subject matter expert, contributing … practices. Key Skills Proven experience delivering complex technical training in Data Science, Python, and GenAI. Strong knowledge of machine learning techniques, GenAI concepts, and prompt engineering. Proficiency in Python programming with strong familiarity with the NumPy ecosystem. Ability to design and develop engaging, outcome-focused courseware for diverse audiences. ...

information storage and retrieval. Develop agentic reasoning workflows using frameworks like LangChain or LlamaIndex. Lead the full AI lifecycle: data ingestion, embedding, extraction, synthesis, prompt engineering, and workflow orchestration. Deploy, monitor, and maintain models in Docker-based, containerized environments. Collaborate with cross-functional teams to align AI capabilities … databases, and RAG-based architectures. Experience of with agentic frameworks and orchestration frameworks such as LangChain or LlamaIndex. Solid understanding of LLMs, embeddings, and prompt engineering. Highly Desirable: Experience designing multi-agent systems or autonomous workflows. Hands-on experience with Docker and deploying containerised, cloud-native tools. Experience with ...

Contribute to reusable components and templates Required Skills Strong software development skills (Python, APIs, scripting) Experience with automation and workflow platforms Familiarity with LLMs, prompt engineering, and agent patterns Understanding of integration patterns and enterprise systems Nice-to-Have Skills Experience with tools like n8n, LangGraph, or similar … Exposure to CI/CD and DevOps practices Experience in ITSM automation or managed services Experience Profile 38 years in software development or automation engineering Experience with modern development tools and cloud-native environments Candidate Persona A builder who is comfortable leveraging AI to accelerate development. Curious, adaptable ...

deployable software solutions that leverage AI/ML capabilities. Qualifications Experience of, and a passion for, AI/ML. A degree in Computer Science, Engineering, or a related technical discipline, combined with practical experience delivering high‐integrity software products within a regulated environment. Industry experience working on Agile projects … vector databases, retrieval‐augmented generation (RAG), and orchestration frameworks. Experience curating datasets, managing embeddings, and ensuring security, privacy, and responsible AI practices. Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs. Awareness ...

capabilities. What you'll bringYou will have experience of, and a passion for, AI/ML. You should hold a degree in Computer Science, Engineering, or a related technical discipline, combined with practical experience in delivering high-integrity software products within a regulated environment. We are looking for candidates … vector databases, retrieval-augmented generation (RAG), and orchestration frameworks. Experience curating datasets, managing embeddings, and ensuring security, privacy, and responsible AI practices. Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs. Awareness ...

What you’ll bring**You will have experience of, and a passion for, AI/ML. You should hold a degree in Computer Science, Engineering, or a related technical discipline, combined with practical experience in delivering high-integrity software products within a regulated environment.We are looking for candidates with … vector databases, retrieval-augmented generation (RAG), and orchestration frameworks.* Experience curating datasets, managing embeddings, and ensuring security, privacy, and responsible AI practices.* Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs.* Awareness ...

thresholds (Quick Wins, Standard, and Strategic pathways), routing larger initiatives into the core Product and Technology roadmap Coordinate closely with fellow Product Directors and engineering leads to ensure Enterprise AI complements the wider technology strategy without duplication Carry an explicit enablement responsibility, building AI literacy across the business through … automation solutions in a commercial environment Strong understanding of AI tools and their practical application in business operations, including generative AI, AI agents, prompt engineering, and retrieval-augmented generation A Product Management approach to AI initiatives, covering intake scoring, roadmap prioritisation, outcome measurement, and iterative delivery Confidence learning ...

thresholds (Quick Wins, Standard, and Strategic pathways), routing larger initiatives into the core Product and Technology roadmap* Coordinate closely with fellow Product Directors and engineering leads to ensure Enterprise AI complements the wider technology strategy without duplication* Carry an explicit enablement responsibility, building AI literacy across the business through … automation solutions in a commercial environment* Strong understanding of AI tools and their practical application in business operations, including generative AI, AI agents, prompt engineering, and retrieval-augmented generation* A Product Management approach to AI initiatives, covering intake scoring, roadmap prioritisation, outcome measurement, and iterative delivery* Confidence learning ...