76 to 100 of 182 Prompt Engineering Jobs in England

large language models while setting technical standards for a high-performing data science team. You'll play a hands-on leadership role, partnering with engineering and business stakeholders to design, build, and deploy AI solutions that deliver measurable business value. What you'll do Lead the design and development … through deployment and monitoring. Establish best practices for model evaluation, testing, validation, and responsible AI. Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation (RAG), and AI agents. Mentor data scientists and provide technical leadership through code reviews and coaching. Partner with engineering ...

become the go-to platform for all consumer insights - the infrastructure companies run on, not a service they call in occasionally. The internal apps engineering team builds products that give the humans at Conveo maximum leverage. As the cost of building software falls to zero, we craft opinionated internal … management, recruitment), agents that run across the business, and the tooling that lets anyone at Conveo automate their own workflows. This team sits inside Engineering and is the group actually building these apps day to day. There are two of us on it today - you'd be the third. ...

from concept to production and ongoing optimization Architect LLM-powered applications, multi-agent workflows, and autonomous systems Orchestrate LLMs through advanced prompt engineering and fine-tuning Deploy and monitor AI services in production, tracking quality, hallucination rates, and decision accuracy Build scalable, cost-effective infrastructure with automated evaluation … fallback mechanisms Ensure security, compliance, and rapid iteration based on user feedback What You'll Bring 5+ years in AI/ML engineering or software development, with production AI deployment experience Degree in Computer Science (or equivalent) with strong AI/ML/NLP foundations Strong Python skills, familiarity ...

active growth period. We started this year as a team of ~20 and are on track to reach ~120 by year end. On the engineering side, we're 13 today (possibly more by the time you're reading this), and we're right at the stage of deciding … this team runs. Join now and you'll have a real voice in shaping that structure a rare opportunity for outsized impact. 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 ...

Role Description We are 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 … assisted tooling as 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 ...

data ingestion, structuring analytical output, and QA'ing every number before it reaches a stakeholder Extend and improve AI-integrated workflows including MCP servers, prompt engineering, and structured data pipelines that feed Claude-powered analytical outputs Own platform health and evolution, monitoring pipeline integrity, adapting the context … write scripts to automate provisioning and data quality checks, and you use AI assistants (Claude, ChatGPT) as a genuine daily tool — comfortable with prompt engineering and clear-eyed about what it unlocks for a small, high-output team Clear, structured communication; you can explain a metric, a business ...

needs of different learner and employer audiences AI Adoption & Workplace Application: Support employers to embed AI tools into business processes Deliver practical training on: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related tools Promote responsible AI use, including governance, data protection … Adaptable, proactive and solution-focused approach Desirable Experience delivering AI or digital apprenticeship standards Experience with Copilot Studio or Power Platform tools Understanding of prompt engineering and AI adoption Knowledge of automation tools and workflow design Awareness of apprenticeship funding and compliance requirements Teaching or training qualification (e.g. ...

opportunity! Role We are looking for an engaging & ambitious AI Solutions Analyst to help deliver AI-powered solutions. This role combines business analysis, AI prompt engineering, and testing/quality assurance . You’ll work closely with customers to understand their requirements, design effective AI prompts and workflows … Experience in business analysis, QA/testing and solution delivery Organised, detail-oriented, and customer-focused Desirable Change management/business adoption Experience with prompt engineering Familiarity with Agile delivery environments Understanding of AI/LLM capabilities and limitations Responsibilities Gather and document customer requirements Translate business needs ...

initiatives through to secure, scalable and fully operational services. This is a hands-on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer-facing journeys … internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands-on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern ...

strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning and engineering excellence. You will manage, coach and develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial … disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), agentic AI, model evaluation ...

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Applied AI Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions. This is a senior … designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation. The Role This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice ...

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Applied AI Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions. This is a senior … designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation. The Role This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice ...

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Applied AI Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions. This is a senior … designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation. The Role This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice ...

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 … Generative AI, AI-assisted code generation, automated testing, code review acceleration, agentic workflows, and development process optimisation. This role involves providing technical leadership, engineering expertise, and tooling oversight across the software delivery lifecycle, helping teams apply AI responsibly to modernise platforms, improve code quality, streamline delivery, and enhance developer ...

role involves building scalable AI-driven services, integrating with enterprise security technologies, and contributing to the evolution of a modern platform that combines software engineering, cloud services, artificial intelligence, and cybersecurity. The ideal candidate enjoys solving complex technical problems, can work across multiple technologies, and is comfortable learning … translate them into technical solutions. Produce maintainable, well-tested, and well-documented code. Participate in technical reviews and architectural discussions. Required Skills Software Engineering Strong software engineering fundamentals. Experience designing modular, maintainable systems. Experience building REST APIs and backend services. Experience developing reusable libraries or frameworks. Experience working ...

into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with ...

into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with ...

technology infrastructure standards. Continuously evaluate emerging technologies, and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes … production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs ...

Title: Solutions architect Job Summary The Forward Deployed Engineer (FDE) is a hands-on engineering role focused on building and deploying AI-powered solutions within client environments. Working as part of client-facing delivery teams, this role partnerswith senior engineers, and consulting leads to implement scalable, production-ready systems … HCLTechEnterprise customers. FDEs contribute directly to solution delivery-translating defined requirements into working systems, buildingintegrations, and supporting deployments. While primarily focused on engineering execution, the role alsooperates in client settings, requiring strong collaboration and the ability to support technical discussions withboth engineering and business stakeholders. Key Responsibilities Solution ...

lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies - 8+ years of experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native services - Expert-level coding capability … quality production code while guiding technical direction - Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques - Proven ability to take complex AI solutions from prototype to production, making practical engineering ...

operable after the squad moves on. Keep abreast of new technology developments. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows). … Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI/LLMs: Building RAG pipelines ...

machine learning solutions within a global insurance organisation. This is a hands-on technical leadership role, ideal for someone who enjoys combining software engineering, data science, AI, and delivery leadership. You'll help shape the technical direction of a growing AI function while leading the successful delivery of innovative … machine learning, and advanced analytics solutions from concept through production. Provide technical leadership across multiple AI initiatives, ensuring high standards for architecture, engineering, scalability, and deployment. Design and build AI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI approaches. Remain hands-on with development ...

will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. The Role Translate business challenges and problem statements into working proofs of concept … Google Cloud AI services, particularly Gemini-based technologies and ecosystems. Advanced Python development skills, with exposure to TypeScript considered highly advantageous. Full-stack software engineering experience, with a strong emphasis on backend development, distributed systems and API design. Hands-on experience building applications using React, Next.js, Svelte or comparable ...

workflows using large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. Develop scalable backend services and AI integrations, working closely with engineering, architecture and business teams, and support deployment, governance and operational rollout so solutions land production-ready and compliant. What we're looking for Strong … foundations in software or data engineering with hands-on experience delivering AI or AI-enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/ ...

workflows using large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. Develop scalable backend services and AI integrations, working closely with engineering, architecture and business teams, and support deployment, governance and operational rollout so solutions land production-ready and compliant. What we're looking for Strong … foundations in software or data engineering with hands-on experience delivering AI or AI-enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/ ...