76 to 100 of 104 Prompt Engineering Jobs in the UK excluding London

systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement … offerings What We’re Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using ...

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 ...

intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs … JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimise ML models and LLMs to enhance performance ...

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 ...

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 ...

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. ...

person Ability to connect with diverse audiences including technical and non-technical professionals Skills and Technical Proficiency Strong knowledge of GenAI concepts, applications and prompt engineering Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

next 12 months. This is a company operating at pace, with an uncompromising focus on shipping, learning from real customers, and iterating quickly. Engineering quality matters, but speed, ownership and outcomes matter just as much. This is an opportunity to join at a formative stage and play a defining … technical foundations of the business. The Role This AI Engineer position reports directly into the CEO, sitting at the core of the product and engineering effort. You'll be responsible for building and shipping AI-driven functionality end-to-end, from experimentation and prompt design through to production ...

Develop APIs and services that integrate LLMs with existing AI, data and platform systems Optimise solutions for performance, reliability, latency and cost Collaborate with engineering, AI and product teams to identify and deliver high-value use cases Ensure all solutions meet security, compliance and data governance standards What … Client Is Looking For Essential Proven experience deploying LLMs in production Strong Python development skills Hands-on experience with: Prompt engineering and evaluation Retrieval-Augmented Generation (RAG) Embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma) Experience building LLM-backed services using FastAPI/Flask or similar Strong ...

Responsibilities as a Lead AI Engineer: Support and develop a small team, helping them grow and progress. Work with leaders to set and improve engineering and R&D standards. Shape the AI roadmap across both use cases and technology. Partner with senior stakeholders to understand processes and data, identifying … customer value. Comfortable working both autonomously and collaboratively in a fast-paced, cross-functional environment Strong experience with advanced NLP, including developing models, prompt engineering and fine-tuning LLMs in a commercial setting. At Ageas we offer a wide range of benefits to support you and your family ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … digital analytics Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams ...

architecture, AI, and product delivery - orchestrating AI tools to build and maintain a modern full-stack platform. If you’re excited by AI-assisted engineering and see automation as the default rather than the exception, this role will feel genuinely different. In addition to this, we're also interested … infrastructure layers. What Makes You a Great Fit: AI-Native Mentality: You instinctively look to automate before doing something manually. You’re excited by prompt engineering and AI orchestration. The Auditor Mindset: Since AI generates much of the code, you’re exceptional at spotting logic gaps, performance issues ...

Copilot Studio and Power Platform.Strong knowledge of Microsoft 365 ecosystem (Teams, SharePoint, Graph API).Ideally, familiarity with Azure AI services and OpenAI integration.Expertise in prompt engineering and conversational design.Understanding of data governance, compliance, and security.Ability to create custom connectors and integrate external systems.Excellent communication and stakeholder engagement skills. ...

Power Platform.Strong knowledge of Microsoft 365 ecosystem (Teams, SharePoint, Graph API). Ideally, familiarity with Azure AI services and OpenAI integration. Expertise in prompt engineering and conversational design. Understanding of data governance, compliance, and security. Ability to create custom connectors and integrate external systems. Excellent communication and stakeholder ...

least February 2027. What you'll need to succeed Experience or strong interest in NLP, LLMs and AI applications such as transformers, RAG or prompt engineering, preferably gained within the pharmaceutical, biotech, medtech or biomedical space Familiarity with Python and modern AI frameworks for text analytics, alongside data ...

best practices for content analytics. Core Skills & Competencies . Technical Skills: o Experience or interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering) o Familiarity with data visualization and scientific communication tools o Knowledge graph and ontology management o Python and AI frameworks for text … given upon application Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource ...

solutions that change how businesses operate. As an Applied AI Solution Engineer , you’ll be at the heart of this transformation — combining hands-on engineering with strategic thinking to deliver world-class AI systems. What you’ll do: ✅ Build and deploy AI-powered systems using Python, microservices, distributed systems … complex AI concepts What we’re looking for: 💡 Proven experience delivering scalable, production-grade AI solutions 💡 Deep understanding of LLMs — fine-tuning, training, and prompt engineering 💡 Strong grasp of model optimization, evaluation, and cost management 💡 Expertise in solution architecture and enterprise software development 💡 Confident communicator with both technical ...

reproducibility. Build and deploy machine learning models-including LLM-powered solutions -to solve real business problems. Partner with cross-functional teams (data science, software engineering, ML engineering) to develop full end-to-end production systems. Support architectural discussions and promote best practices in ML engineering and cloud … skills. Desirable Experience in banking or financial services. Exposure to customer-facing ML/AI systems. Familiarity with LLM fine-tuning, evaluation frameworks, or prompt engineering. Contract Details Location: London or Edinburgh Duration: 3-month initial contract Start: ASAP Working model: Hybrid Guidant, Carbon60, Lorien & SRG - The Impellam Group ...

execute adversarial testing, red-teaming, and stress-testing for LLMs. Knowledge of LLM security vulnerabilities, ethical AI principles, and AI compliance frameworks. Experience in prompt engineering, and analyzing LLM behavior under adversarial conditions. Awareness of emerging trends in AI security and LLM testing techniques. ...