101 to 125 of 526 Prompt Engineering Jobs in the UK

solutions. Design and implement retrieval-augmented generation (RAG) pipelines , leveraging embeddings, vector databases, and structured retrieval techniques. Optimise LLM inference and fine-tuning using techniques such as LoRA, PEFT, prompt engineering, and caching . Integrate multi-modal and external knowledge sources to enhance AI-driven insights. Research and implement autonomous agentic AI systems for complex, multi-step legal More ❯

LLM-based applications in secure, 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, and AI teams to deliver high-impact … databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) 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 LLM-based applications Experience with … LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through testing, research, and integration of modern AI and software practices Why Join Us? Join a mission-driven, high-growth AI startup shaping the More ❯

TensorFlow, and GenAI libraries will be essential to your success in this role. You have hands-on experience with vector search, embedding models, and retrieval pipelines. Your familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs sets you apart. Experience working with healthcare or sensitive data is crucial, as is an understanding of HIPAA …/NLP roles. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries. Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). Strong problem-solving skills. Bonus More ❯

Doing Designing and building end-to-end AI and ML systems that deliver real business value Leveraging Large Language Models (LLMs) in production environments, with hands-on involvement in: Prompt engineering and agentic workflows Evaluation frameworks and retrieval-augmented generation (RAG) pipelines LLM inference stack concepts: KV caching, speculative decoding, parallel decoding, and other optimization techniques Collaborating with … stakeholders across engineering, data, and business teams to deliver innovative solutions Working across cloud platforms like Azure or AWS Contributing to system architecture and writing clean, production-grade code Communicating findings and recommendations clearly to both technical and non-technical audiences What You’ll Bring Deep understanding of machine learning fundamentals and practical experience building real-world AI systems More ❯

Enhance our existing AI CFO agents Design and implement memory systems Develop goal-setting and planning frameworks to increase agent autonomy Create robust evaluation methods to ensure reliability Optimize prompt engineering and LLM orchestration for complex financial scenarios Collaborate with our product and engineering teams to integrate enhanced agent capabilities Develop and maintain tools Fine-tune and … memory systems and context management for AI agents Strong coding skills in Python and experience with Typescript Experience setting up and developing RAG flows Familiarity with vector databases Advanced prompt engineering capabilities Experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.) Track record of shipping reliable AI systems to production Valuable Additional Skills: Experience with goal-oriented and … to shape the future of financial decision-making, this is the place. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Nume by 2x Get notified about new Artificial Intelligence Engineer jobs in London Area More ❯

pre-sales capacity with the wider account team to demonstrate the impact of Agentforce. In some cases, the use case(s) scope will involve support from the wider Solution Engineering organisation, especially the dedicated Data Cloud and Technical Architect teams. It will also involve collaboration with the new Consumption Lead roles for Data Cloud, the Agentforce Success Engineer role … on the AI landscape and the Salesforce Agentforce, Data Cloud and Platform roadmap. Primary Responsibilities As described above, the role will be responsible for the successful delivery of Solution Engineering led Agentforce Proof of Concepts across the following stages Qualification - working with the SE leadership and account team, you will assist in evaluating POC requests and qualifying their suitability … see and understand the ease of use associated with building agents in Agentforce. This will involve defining Agents, Topic and Actions, including the creation and optimisation of instructions and prompt engineering strategies. This also includes building guardrails to govern the agent behaviour. There is no requirement for detailed documentation but you will be expected to create assets such More ❯

the business solutions Employ proof-of-concepts and live pilots to demonstrate business value for AI use-cases Serve as a technical subject matter expert in Python development and prompt engineering, leveraging API offerings from OpenAI, Gemini, and Claude LLMs to deliver solutions Ensure the solutions align with company policies, security requirements, and design & coding guidelines Stay up … to understand business needs, identify opportunities to enhance AI adoption, and assess the strategic impact of AI/ML integration on BAU workflows Experience and Skills Experience with LLMs, prompt engineering, performance tuning Strong proficiency with LLM tools, and platforms In-depth knowledge of AI frameworks, machine learning, and data science concepts Hands on experience in software engineering and technology solutions with proficiency in Python language. Hands on experience in cloud computing and AI solution engineering in cloud infrastructure with proficiency in AWS cloud applications Ability to support implementation of the AWS CI/CD pipeline Prior experience with Salesforce is a big advantage Prior experience with developing Chatbots is desired Ability to deliver work to More ❯

pension, private medical Our client, a global powerhouse in enterprise IT and AI-led innovation, is looking for a Generative & Agentic AI Engineer to join their high-impact AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. … systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering, guardrails, and AI safety tools Requirements: Strong Python development skills Hands-on experinece working with GCP and Google teams Experience with LangChain, LangGraph, CrewAI, Autogen, or similar More ❯

pension, private medical Our client, a global powerhouse in enterprise IT and AI-led innovation, is looking for a Generative & Agentic AI Engineer to join their high-impact AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. … systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering, guardrails, and AI safety tools Requirements: Strong Python development skills Hands-on experinece working with GCP and Google teams Experience with LangChain, LangGraph, CrewAI, Autogen, or similar More ❯

to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for … team delivery and maintain clear communication on changing goals, plans, or requirements. Qualifications Hands-on experience working with LLM such as GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. More ❯

to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for … team delivery and maintain clear communication on changing goals, plans, or requirements. Qualifications Hands-on experience working with LLM such as GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. More ❯

and PyDub to enable audio analysis and processing Develop tools for BPM detection, genre classification, energy and mood mapping Create systems for automated content compliance and rights management Platform Engineering Build scalable AI platforms that interface with our music management systems Develop APIs and edge AI capabilities for real-time audio delivery in retail environments Establish performance metrics to … solutions Work closely with music curators and product teams to align technology with creativity Present AI initiatives and outcomes to internal and external stakeholders Essential Degree in Computer Science, Engineering, or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/… ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems Experience identifying AI use cases and translating them into business value Preferred Experience with LibROSA, Essentia, or other audio analysis libraries Knowledge of computational musicology and MIR More ❯

and PyDub to enable audio analysis and processing Develop tools for BPM detection, genre classification, energy and mood mapping Create systems for automated content compliance and rights management Platform Engineering Build scalable AI platforms that interface with our music management systems Develop APIs and edge AI capabilities for real-time audio delivery in retail environments Establish performance metrics to … solutions Work closely with music curators and product teams to align technology with creativity Present AI initiatives and outcomes to internal and external stakeholders Essential Degree in Computer Science, Engineering, or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/… ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems Experience identifying AI use cases and translating them into business value Preferred Experience with LibROSA, Essentia, or other audio analysis libraries Knowledge of computational musicology and MIR More ❯

and PyDub to enable audio analysis and processing Develop tools for BPM detection, genre classification, energy and mood mapping Create systems for automated content compliance and rights management Platform Engineering Build scalable AI platforms that interface with our music management systems Develop APIs and edge AI capabilities for real-time audio delivery in retail environments Establish performance metrics to … solutions Work closely with music curators and product teams to align technology with creativity Present AI initiatives and outcomes to internal and external stakeholders Essential Degree in Computer Science, Engineering, or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/… ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems Experience identifying AI use cases and translating them into business value Preferred Experience with LibROSA, Essentia, or other audio analysis libraries Knowledge of computational musicology and MIR More ❯

pivotal role in designing, implementing, and demonstrating AI-powered solutions tailored for our clients with our in-house AI platform, AVA+. You will work closely with our sales and engineering teams to deliver technical presentations, respond to RFPs, and develop solutions that align with client needs and strategic objectives. Your primary focus will be on agent creation and connectivity. … ensure effective communication between different components. Translate business requirements into technical solutions using AI technologies. Collaborate with data and software engineers to deliver integrated solutions. Degree in Computer Science, Engineering, or a related field. Hands-on experience with AI technologies and frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, Java, or C#. Experience with API … data integration techniques. Strong experience of setup of cloud services (AWS, Azure, or GCP), cloud based DevOps, and their application in AI solutions. Awareness of AI capabilities such as prompt engineering, tokenization, guardrails. Excellent problem-solving skills and the ability to think critically. Exposure to agentic platforms is preferable. Strong communication skills, both written and verbal, with the More ❯

looking for: Deep expertise in Large Language Models (LLMs) and generative AI, with proven experience shipping production AI features built on foundational models like GPT or Anthropic. Strong software engineering skills, fluent in Python , and experienced with scalable backend frameworks like FastAPI . Hands-on experience with LLM orchestration and prompt engineering frameworks such as LangChain or More ❯

the future of marketing by rapidly translating strategic requirements into intelligent, scalable solutions. Key Responsibilities Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Gather, analyse, and translate business and marketing requirements into detailed technical specifications. AI-Assisted Development: Leverage AI coding tools (GitHub Copilot, GPT-driven tools) to rapidly prototype and develop … architectures, solutions, and systems. Continuous Learning: Stay abreast of evolving AI technologies and frameworks to maintain our competitive advantage. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset … PyTorch or TensorFlow • Deep understanding of transformer architectures, embeddings, and attention mechanisms • Experience with LangChain, Transformers (HuggingFace), or LlamaIndex • Working knowledge of LLM fine-tuning (LoRA, QLoRA, PEFT) and prompt engineering • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Chroma) • Cloud experience on Azure, AWS, or GCP (Azure preferred) • Experience with Kubernetes, Docker, and scalable microservice deployments More ❯

building and iterating using AI-first coding environments (Cursor, VS Code Studio, Copilot, etc.). Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Translate business and marketing needs into detailed technical specifications. AI-Assisted Development: Rapidly prototype and develop applications using AI coding tools. Integration Framework: Implement and optimise Model Context Protocol … Documentation: Create comprehensive technical documentation for systems and solutions. Continuous Learning: Stay ahead of evolving AI technologies and frameworks. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

building and iterating using AI-first coding environments (Cursor, VS Code Studio, Copilot, etc.). Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Translate business and marketing needs into detailed technical specifications. AI-Assisted Development: Rapidly prototype and develop applications using AI coding tools. Integration Framework: Implement and optimise Model Context Protocol … Documentation: Create comprehensive technical documentation for systems and solutions. Continuous Learning: Stay ahead of evolving AI technologies and frameworks. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

infrastructure and tooling for scalable, secure, and efficient model development and serving Guide selection and integration of LLMs (open-source or commercial) into product workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation Coordinate across engineering, product, and design teams to ensure AI systems are reliable and user-centered Hire, mentor, and grow a More ❯

development, and integration. Collaborate with teams from Architecture, Product Management, and Operations to develop, test, and release features. Community Contribution Contribute to standards, patterns, and best practices to improve engineering practices. Provide insights on industry trends, emerging technologies, prototypes, patents, and process improvements. Minimum Qualifications Ability to operate effectively in a matrixed environment with multiple stakeholders. 8+ years of … business applications. Full-stack development experience with AI technologies and their application to user or backend solutions. Experience with AI tools such as SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Proficiency with front-end technologies (React, Angular, SwiftUI, Kotlin) and back-end technologies (Java, Typescript, Spring, Express). Experience with cloud platforms like AWS or More ❯

or more of these skills then we would love to work with you! AI/ML Solution Architecture: Designing and deploying machine learning models and AI solutions tailored to engineering and data team workflows. Agentic AI Design: Expertise in building autonomous AI agents capable of decision-making, using frameworks like LangChain. LLM Integration & Customization: Proficiency in integrating large language … models (LLMs) into applications, including fine-tuning and prompt engineering for business-specific use cases. AI for Data Engineering: Implementing AI-powered data pipelines, ETL automation, and leveraging AI for data quality and governance. AI Infrastructure & MLOps: Experience with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). … Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms: AWS SageMaker, Azure ML, Google Vertex AI APIs & Orchestration: OpenAI API, Anthropic Claude, Weaviate, FastAPI (for AI applications) MLOps More ❯

in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity. Strong understanding of machine learning principles, deep learning techniques and GenAI concepts such as prompt engineering, chain-of-thought reasoning, prompt chaining, Retrieval-Augmented Generation (RAG), custom-built agents. Familiarity with LLM and agentic frameworks like LangChain, PydanticAI, or similar. Proficiency in More ❯

UK Remote | £157,000-210,000 + Benefits | Hear from the team About Ops Data Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work … shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. You’ll influence the development of Monzo’s ML capabilities across diverse areas, from automating support … serve as the foundation for multiple products and problem spaces. Act as a senior technical authority, setting best practices and architectural patterns for ML across the organization. Collaborate with Engineering, Product, and Leadership teams to integrate ML-driven solutions into core business processes. Advocate for and implement responsible AI practices, ensuring fairness, robustness, and transparency in our models. Mentor More ❯