26 to 50 of 121 Prompt Engineering Jobs in the UK excluding London

powered by AI. You'll work across the full stack using modern web technologies and contribute to a platform where AI is deeply integrated into the user experience and engineering workflows. This role offers the opportunity to deepen your technical skills, expand your experience with cloud-native and AI-integrated systems, and collaborate closely with experienced engineers, designers, and … full stack development, particularly with React, TypeScript, Node.js, Next.js, and database technologies such as PostgreSQL. Experience working with cloud infrastructure, preferably with Azure or Vercel. Solid understanding of software engineering principles, web architecture, and performance optimisation. Familiarity with integrating and consuming AI models via APIs. Experience building and consuming RESTful and/or GraphQL APIs. Knowledge of automated testing … of advanced development environments and AI-powered tooling such as Cursor, with an emphasis on increasing velocity, improving code quality, and leveraging contextual AI assistance in day-to-day engineering workflows. Exposure to incorporating LLMs into engineering workflows for production-ready applications, including prompt engineering and context management. Familiarity with multiple LLM providers (e.g. OpenAI, Anthropic More ❯

of AI solution development from concept to deployment and maintenance. Utilize programming skills in Python to automate processes and enhance functionality. Work with large datasets for data preprocessing, feature engineering, and model evaluation. Develop and maintain REST APIs and microservices architectures. Monitor, evaluate, and apply governance frameworks for AI/ML models in production environments. Prepare technical documentation and … effectively communicate complex concepts to both technical and non-technical stakeholders. Required Skills & Qualifications: Minimum 3 years of experience in AI solution engineering, specifically in enterprise environments. Demonstrable experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with … Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance, please submit your CV. More ❯

experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience … deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested More ❯

experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience … deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested More ❯

experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience … deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested More ❯

with cloud platforms and services, such as Azure, AWS and GCP . Excellent communication, collaboration, and stakeholder management skills. Certified in data science, AI, or cloud technologies. Expertise in prompt engineering . Desirable Prior experience with ethical AI practices and data privacy is highly desirable. Deliverables: Responsibilities but not limited to: Coding particular Dev Ops stipulated user stories. More ❯

with cloud platforms and services, such as Azure, AWS and GCP . Excellent communication, collaboration, and stakeholder management skills. Certified in data science, AI, or cloud technologies. Expertise in prompt engineering . Desirable Prior experience with ethical AI practices and data privacy is highly desirable. Deliverables: Responsibilities but not limited to: Coding particular Dev Ops stipulated user stories. More ❯

with cloud platforms and services, such as Azure, AWS and GCP . Excellent communication, collaboration, and stakeholder management skills. Certified in data science, AI, or cloud technologies. Expertise in prompt engineering . Desirable Prior experience with ethical AI practices and data privacy is highly desirable. Deliverables: Responsibilities but not limited to: Coding particular Dev Ops stipulated user stories. More ❯

skills in Python, JavaScript, or similar languages. LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. More ❯

skills in Python, JavaScript, or similar languages. LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. More ❯

nice-to-have. ML and AI: Practical experience using ML modeling libraries like Scikit-Learn, Keras, Tensorflow, PyTorch and similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics … mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions. Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic More ❯

teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure More ❯

teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure More ❯

teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure More ❯

practical application of ML techniques, preferably NLPs, LLMs, Bayesian Optimisation and MCMCs Strong proficiency in Python and ML frameworks and tools (e.g. PyTorch, TensorFlow, JAX, Hugging Face, vLLM, MCP, prompt engineering) Excellent communication skills and ability to explain ML concepts to non-technical stakeholders Ability to work effectively in multi-disciplinary teams, collaborating across engineering, product, and More ❯

practical application of ML techniques, preferably NLPs, LLMs, Bayesian Optimisation and MCMCs Strong proficiency in Python and ML frameworks and tools (e.g. PyTorch, TensorFlow, JAX, Hugging Face, vLLM, MCP, prompt engineering) Excellent communication skills and ability to explain ML concepts to non-technical stakeholders Ability to work effectively in multi-disciplinary teams, collaborating across engineering, product, and More ❯

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 , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … 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 This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯

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 , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … 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 This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯

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 , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … 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 This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯

data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you … need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering More ❯

data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you … need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering More ❯

data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you … need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering More ❯

to code and architecture reviews, mentor junior engineers, and foster innovation within the team. Support AI model deployment, training workflows, and internal tooling development. Requirements 10+ years in software engineering, with a focus on platform or cloud-native development (.NET preferred). Proven experience with Azure PaaS services (Functions, AKS, API Management). Deep knowledge of RESTful APIs , authentication … skills and the ability to deliver scalable, secure solutions. Experience working in Agile environments and mentoring team members. Hands-on experience with Large Language Models (LLMs) , RAG , agent orchestration, prompt engineering, and tool calling. If you are interested and suitable, please apply now More ❯

to code and architecture reviews, mentor junior engineers, and foster innovation within the team. Support AI model deployment, training workflows, and internal tooling development. Requirements 10+ years in software engineering, with a focus on platform or cloud-native development (.NET preferred). Proven experience with Azure PaaS services (Functions, AKS, API Management). Deep knowledge of RESTful APIs , authentication … skills and the ability to deliver scalable, secure solutions. Experience working in Agile environments and mentoring team members. Hands-on experience with Large Language Models (LLMs) , RAG , agent orchestration, prompt engineering, and tool calling. If you are interested and suitable, please apply now More ❯

libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯