51 to 75 of 122 Prompt Engineering Jobs in London

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function . You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership More ❯

AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or More ❯

services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and … incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt More ❯

services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and … incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt More ❯

AI Foundry, Open-AI services, and Microsoft Copilot Studio. Apply governance frameworks for AI/ML models. Python knowledge to automate processes Large datasets experience, including data preprocessing, feature engineering, and model evaluation. Agile development of AI solution from concept to deployment to continuous improvement. Create and maintain technical documentation Communicate complex concepts to all stakeholders. At least … years of experience in AI solution engineering. Large Language Models experience including prompt engineering and RAG implementations. Expert data analytics, MLOps practices and API development. Desirable knowledge in Docker and Kubernetes More ❯

Responsibilities Collaborate with client teams to understand domain challenges and success metrics. Translate business requirements into scalable AI solutions using the agentic framework. Prototype and deploy LLM-based agents (prompt structures, orchestration logic, memory, retrieval pipelines). Drive the transition from proof-of-concept to production with reliability and measurable ROI. Act as a trusted technical advisor, guiding adoption … and defining success metrics. Contribute reusable components and frameworks for faster deployments. Qualifications 3+ years building production-grade AI/data solutions. Hands-on GenAI experience (LLMs, prompt engineering, RAG, vector databases, agentic frameworks like LangChain, LlamaIndex, DSPy). Strong Python proficiency with a GitHub portfolio showcasing MLE or GenAI projects. Expertise in Machine Learning Engineering (model … impact. Why Join? Shape how financial institutions adopt and scale agentic AI. Move beyond prototypes—deploy real-world GenAI systems. Work directly with founding leadership, influencing product evolution. Blend engineering excellence, product innovation, and customer impact. Interested? Apply now or reach out to Gravitas for a confidential discussion. More ❯

Responsibilities Collaborate with client teams to understand domain challenges and success metrics. Translate business requirements into scalable AI solutions using the agentic framework. Prototype and deploy LLM-based agents (prompt structures, orchestration logic, memory, retrieval pipelines). Drive the transition from proof-of-concept to production with reliability and measurable ROI. Act as a trusted technical advisor, guiding adoption … and defining success metrics. Contribute reusable components and frameworks for faster deployments. Qualifications 3+ years building production-grade AI/data solutions. Hands-on GenAI experience (LLMs, prompt engineering, RAG, vector databases, agentic frameworks like LangChain, LlamaIndex, DSPy). Strong Python proficiency with a GitHub portfolio showcasing MLE or GenAI projects. Expertise in Machine Learning Engineering (model … impact. Why Join? Shape how financial institutions adopt and scale agentic AI. Move beyond prototypes—deploy real-world GenAI systems. Work directly with founding leadership, influencing product evolution. Blend engineering excellence, product innovation, and customer impact. Interested? Apply now or reach out to Gravitas for a confidential discussion. More ❯

components into business workflows. YOUR PROFILE Hands-on software development experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying and managing cloud-native applications. Excellent communication and stakeholder … unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.5 More ❯

components into business workflows. YOUR PROFILE Hands-on software development experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying and managing cloud-native applications. Excellent communication and stakeholder … unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.5 More ❯

workflows, and Power Platform concepts including Power Automate, Power Apps, and Dataverse Experience tunning LLMs on Microsoft Azure ML Studio/Azure AI Foundry and applying Generative AI and prompt engineering techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation skills. Extensive experience More ❯

workflows, and Power Platform concepts including Power Automate, Power Apps, and Dataverse Experience tunning LLMs on Microsoft Azure ML Studio/Azure AI Foundry and applying Generative AI and prompt engineering techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation skills. Extensive experience More ❯

and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest … LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. If you want to lead Machine Learning innovation from concept to More ❯

advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest … LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and More ❯

Role: Prompt Enginer Location: London (Hybrid) Day Rate: £775p/d (Inside IR35) Duration: 6 months (likely extension) iO Associates have been engaged by a central government organisation to find a Prompt Engineer to design, test, and optimise prompts for large language models that power AI co-pilots and autonomous agents. Working at the heart of public sector … that improve services for citizens. Key Responsibilities: ☑️ Build agent architectures enabling autonomy and task completion ☑️ Integrate AI agents into apps, APIs, and automation workflows ☑️ Collaborate with research, product, and engineering teams ☑️ Optimise agent behaviour via feedback and user interaction ☑️ Evaluate performance and maintain safety mechanisms ☑️ Document agent logic, design, and dependencies Key Skills & Experience: ☑️ Proven experience designing and refining … LLM prompts and AI agents ☑️ Strong analytical skills for assessing outputs and interactions ☑️ Experience managing prompt libraries and best-practice templates ☑️ Effective cross-functional collaboration and communication ☑️ Familiarity with evaluation frameworks and key performance metrics ☑️ Up-to-date understanding of LLMs, prompt engineering, and agentic AI Desirable: ☑️ Experience with frameworks such as AutoGPT, CrewAI, or LangGraph ☑️ Background More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and explainability actually … you’ll be doing: • Owning the design and build of LLM-based systems end-to-end • Fine-tuning and adapting models (LoRA, instruction tuning, PEFT etc) rather than just prompt-engineering • Building RAG workflows, embedding strategies, memory layers and domain grounding • Working out how to measure output quality, reduce hallucination risk and improve robustness • Optimising inference performance (quantisation More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and explainability actually … you’ll be doing: • Owning the design and build of LLM-based systems end-to-end • Fine-tuning and adapting models (LoRA, instruction tuning, PEFT etc) rather than just prompt-engineering • Building RAG workflows, embedding strategies, memory layers and domain grounding • Working out how to measure output quality, reduce hallucination risk and improve robustness • Optimising inference performance (quantisation More ❯

re partnering with a stealth-mode deep tech AI lab based in London that’s building foundation models from the ground up . This isn’t fine-tuning or prompt engineering, it’s genuine model pre-training, post-training, and large-scale systems research. The company secured substantial funding in early 2025 from top-tier institutional VCs and … Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment optimisation). Solid software engineering fundamentals - version control, CI/CD, and production-grade model deployment. Experience working in cloud-native or high-performance compute environments (AWS, GCP, Docker, Kubernetes). A curiosity for More ❯

re partnering with a stealth-mode deep tech AI lab based in London that’s building foundation models from the ground up . This isn’t fine-tuning or prompt engineering, it’s genuine model pre-training, post-training, and large-scale systems research. The company secured substantial funding in early 2025 from top-tier institutional VCs and … Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment optimisation). Solid software engineering fundamentals - version control, CI/CD, and production-grade model deployment. Experience working in cloud-native or high-performance compute environments (AWS, GCP, Docker, Kubernetes). A curiosity for More ❯

founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We More ❯

Azure AD, and integration services (e.g., Logic Apps, API Management). Strong knowledge of enterprise architecture, solution design, and system integration. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Desirable Certifications: Microsoft Certified: Azure Solutions Architect Expert Microsoft 365 Certified: Enterprise Administrator Expert TOGAF or other architecture frameworks (optional but valuable) Technical Skills: Expertise … Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. Soft Skills: Strong communication and stakeholder engagement skills, with the ability to explain complex technical concepts to non-technical audiences. Proactive More ❯

scientific mindset (Bachelor’s/Master’s/PhD in a quantitative discipline) with strong experimental and statistical reasoning 2+ years of hands-on experience in data science, ML engineering, or applied research Skilled at designing and evaluating experiments with proper baselines, controls, and metrics Excited to explore and apply LLMs in practical, business-focused contexts Thrive in a … key Technical skillset: Must-have: Python, data science/ML libraries (pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face), experiment design, evaluation metrics Nice-to-have: LLM fine-tuning, prompt engineering, SQL/PostgreSQL How We Work We live for our customers — aiming to be the most reliable, highest-ROI product they’ve ever used We move fast More ❯

scientific mindset (Bachelor’s/Master’s/PhD in a quantitative discipline) with strong experimental and statistical reasoning 2+ years of hands-on experience in data science, ML engineering, or applied research Skilled at designing and evaluating experiments with proper baselines, controls, and metrics Excited to explore and apply LLMs in practical, business-focused contexts Thrive in a … key Technical skillset: Must-have: Python, data science/ML libraries (pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face), experiment design, evaluation metrics Nice-to-have: LLM fine-tuning, prompt engineering, SQL/PostgreSQL How We Work We live for our customers — aiming to be the most reliable, highest-ROI product they’ve ever used We move fast More ❯

back to Product to shape the reporting roadmap Product Collaboration & Innovation (20%) Shape AI reporting features: Partner with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs, and our data pipelines QA & iteration: Test new features, validate … Great FitTechnical Foundation 5+ years in analytics roles building customer insights, product analytics, or data-driven reporting AI-native experience: Hands-on work building reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write More ❯

back to Product to shape the reporting roadmap Product Collaboration & Innovation (20%) Shape AI reporting features: Partner with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs, and our data pipelines QA & iteration: Test new features, validate … Great FitTechnical Foundation 5+ years in analytics roles building customer insights, product analytics, or data-driven reporting AI-native experience: Hands-on work building reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write More ❯

A fast-growing fintech company is hiring a Fullstack Developer(AI) to help build the next generation of intelligent, personalized financial platforms. This role blends modern front-end engineering with AI-powered workflows, automation, and human-centered design to deliver seamless digital experiences for users across global markets. You'll join a lean, high-impact product and engineering … Amplify. Work with headless CMS platforms to deliver content compatible with AI workflows. Break down complex projects into agile deliverables and contribute to technical documentation. 🧠 Requirements Strong front-end engineering skills (React, TypeScript/JavaScript, CSS, responsive design). Experience with AI-enhanced development tools (e.g., AI code assistants, automated testing, intelligent pipelines). Familiarity with headless CMS platforms … REST and GraphQL API design patterns. Excellent communication and collaboration skills. A keen design sensibility and commitment to secure coding practices. 🌟 Bonus Points Experience integrating LLMs into development workflows (prompt engineering, context management, orchestration). Familiarity with MCP or similar standards for managing model interactions and tooling integration. Knowledge of A/B testing and automated UX optimization. More ❯