1 to 25 of 35 Remote/Hybrid Prompt Engineering Jobs in England

Hybrid If Hybrid, how many days are required in office?: 3 days The Role In this role, the candidate will join a cutting-edge engineering team focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. The position offers … secure, scalable, and high-performing AI solutions, including document intelligence workflows, generative AI applications, and retrieval-augmented systems. This includes working on model orchestration, prompt engineering, document extraction pipelines, and system integrations with enterprise platforms such as CRM, ERP, and workflow automation tools. The role requires close collaboration ...

reusable agent components with clear protocols and guardrails Establish orchestration patterns that scale reliably in production Ensure governance, safety, and compliance standards are met Prompt Engineering & Frameworks Design prompt chains and multi-step workflows for complex tasks Maintain centralised prompt and agent libraries with versioning … agentic systems in production Proven ability to operate autonomously and own complex systems end-to-end Technical Skills Strong understanding of LLM behaviour and prompt engineering Experience with agent architectures and multi-agent systems Comfort analysing logs, metrics, and system performance Familiarity with APIs, system integration, and workflow ...

opportunities, and build end-to-end automated systems using tools like n8n , AI models, and APIs. This role sits at the intersection of operations, engineering, and AI—ideal for someone who loves solving problems, designing efficient systems, and using technology to remove friction from workflows. You will collaborate across … Python) AI & LLM Automation Integrate AI models (OpenAI, Claude, etc.) into workflows Build intelligent agents for data extraction, routing, classification, and decision workflows Implement prompt engineering, function-calling logic, and vector database usage when needed Data & System Integration Work with data sources such as PostgreSQL, MySQL, MongoDB, Airtable ...

applications, and retrieval‐augmented systems integrated with core enterprise platforms. You will collaborate closely with business stakeholders, product owners, security and compliance, data engineering, and application teams to translate business outcomes into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI—ensuring solutions are robust, compliant, and production‐ready. This role suits a hands‐on architect who can balance strategic vision with pragmatic delivery, establish engineering standards, and mentor developers while owning architectural decisions and non‐functional requirements ...

applications, and retrieval augmented systems integrated with core enterprise platforms. You will collaborate closely with business stakeholders, product owners, security and compliance, data engineering, and application teams to translate business outcomes into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI-ensuring solutions are robust, compliant, and production ready. This role suits a hands on architect who can balance strategic vision with pragmatic delivery, establish engineering standards, and mentor developers while owning architectural decisions and non functional requirements ...

Lead/Senior Generative AI Engineer/AI Engineer/Artificial Intelligence/Generative AI/AWS/GCP/Engineering Mindset/London/Bristol/Manchester/Birmingham/Cardiff/Cambridge/Oxford/England Hiring via: 167 Solutions Location: UK (Hybrid 12 days per week … Generative AI Centre of Excellence (CoE) . This is not a strategy-only or advisory role. This is a 24/7 hands-on engineering role , building, testing, deploying, and iterating production-grade GenAI systems at enterprise scale. Everything is greenfield . No legacy constraints. No pre-selected vendors. ...

production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product … cloud platforms (AWS, GCP, or Azure) Experience of using AI to accelerate software development (using Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying ...

senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firms long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies … enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration ...

insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm s long-term AI engineering capability. As demand accelerates … across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering ...

fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud platforms (Azure preferred … quality outputs. Skills & Experience Agentic AI experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/ ...

support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops and ongoing consultancy-style support aligned to apprenticeship standards. Role … them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams ...

analytics within capital markets. Collaborate with front-office teams to integrate AI-driven models into production systems. Work alongside data engineers and platform engineering teams to enhance front-office performance. Optimise performance and scalability of AI applications in high-frequency environments, ensuring compliance with regulatory and security standards. Required … Experience Minimum: 4+ years in Software Engineering/AI Engineering roles. Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential) Proven track record of delivering AI/ML solutions in production environments, or demonstrable experience building AI tools inside or outside of work ...

technologies, develop smart workflows, and craft high-quality prompts that improve internal tools, developer productivity, and customer experiences. You will work closely with product, engineering, and operations teams to embed AI capabilities across Paydock’s platform and internal processes using tools such as OpenAI, Anthropic, and other third-party … customer-facing applications. Design and implement workflows powered by AI, such as content summarization, support automation, documentation generation, or intelligent query handling. Develop prompt chains and prompt strategies for specific business functions (engineering assistance, product support, operational efficiency). Collaborate with cross-functional teams to identify ...

experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project ...

technology teams. Proficiency in Python or R; hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph). Strong prompt engineering skills and experience translating complex workflows into structured, agentic tasks. 7+ years of experience in investment management workflows (research, portfolio construction, trading ...

determine feasibility and cost–benefit. Skills and experience you need as an AI Engineer: Proven experience applying, researching and developing NLP models, including prompt engineering and fine-tuning LLMs in a commercial setting. Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions. ...

Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc.). Fine-tuning and prompt engineering. Experience with vector similarity search. Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging ...

APIs, tools, databases, and front-end interfaces Collaborating with product managers, designers, and engineers across the business Contributing to system architecture, technical design, and engineering best practices Supporting rapid prototyping, experimentation, and iteration of AI-driven features Ensuring solutions are robust, secure, and production-ready About You Essential experience … Demonstrable, hands-on experience building agentic AI systems Strong experience with LangChain (or similar agent frameworks) Solid full stack engineering background (e.g. Python and/or TypeScript, APIs, modern front-end frameworks) Experience working with LLMs, prompt engineering, and agent orchestration Comfortable working in agile, collaborative engineering ...

related libraries. • Experience with agentic AI architectures and autonomous AI agents. • Hands-on experience with LangGraph or similar orchestration frameworks. • Understanding of AI lifecycle: prompt engineering, agent workflows, deployment, and monitoring. • Familiarity with LLMs and multi-agent systems. About Us: Ascendion is a leading provider of AI-first … software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have 30+ offices across the U.S., UK, Poland, Romania, India, Australia ...

APIs, tools, databases, and front-end interfaces Collaborating with product managers, designers, and engineers across the business Contributing to system architecture, technical design, and engineering best practices Supporting rapid prototyping, experimentation, and iteration of AI-driven features Ensuring solutions are robust, secure, and production-ready About You Essential experience … Demonstrable, hands-on experience building agentic AI systems Strong experience with LangGraph (or similar agent frameworks) Solid full stack engineering background (e.g. Python and/or TypeScript, APIs, modern front-end frameworks) Experience working with LLMs, prompt engineering, and agent orchestration Comfortable working in agile, collaborative engineering ...

working with: Python as your core language, building backend services and AI pipelines Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks Cloud platforms including AWS, GCP or Azure for scalable deployments CI/CD pipelines, containerisation (such as Docker) and real-time APIs … platforms Hybrid working with three days per week onsite in Oxfordshire and two days remote A supportive team that values experimentation, clean engineering and continuous learning A salary of £80,000 to £100,000 , with flexibility for exceptional candidates Diversity and Inclusion We and our client believe diverse teams ...

them. Implement identity & access (Entra ID), data isolation, Key Vault secrets, network security (Private Endpoints), and content filtering. Embed Responsible AI practices: safety filters, prompt/content governance, data privacy, red-teaming guidance, and human-in-the-loop review where needed. Ensure regulatory alignment (e.g., GDPR, ISO controls … SLIs/SLOs for AI services. Drive FinOps disciplinecapacity planning, token/cost controls, caching strategies, and model selection/optimization. Mentor engineers on prompt engineering, grounding, tool-use patterns, and quality evaluation frameworks. Essential skills: 15+ years overall in software/solution architecture with 7 + years ...

money or hardware at problems, our technology pinpoints the real root causes, using insight that only comes from deep experience in trading system performance engineering and first-hand knowledge from ex-technical traders. We’re now entering an exciting growth phase. Alongside our existing offering, we’re developing … safely and effectively reduce complexity or manual effort Designing and building internal tools such as: Lightweight GUIs for operational tasks Workflow automations for engineering and support teams Data enrichment or metadata tooling Prototyping quickly, validating with users, and iterating towards production-ready solutions Advising on model selection, cost ...

tune open-source base-models and track results. Skills and experience you need as a Junior AI Engineer: Exposure to developing NLP models, including prompt engineering and fine-tuning LLMs in a commercial or academic setting. Able to complete tasks and projects with support from more experienced colleagues. ...

Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. Work independently while providing clear justification for technical decisions. Key Skills & Experience Strong experience in data pipeline development ...