76 to 100 of 513 Prompt Engineering Jobs in the UK

Skills: Proficient: • Languages/Framework: Python, Fast API, Azure UI Search API (React) • Cloud: Azure Cloud Basics (Azure DevOps) • GitLab: GitLab Pipeline • Ansible and REX: Rex Deployment • Data Science : Prompt Engineering + Modern Testing • Data pipeline development and monitoring • Understanding of AI/ML algorithms and their applications • MLOps frameworks • Knowledge of cloud platforms (Azure ML especially) • Model … Account, PostgreSQL, Cosmos o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform) o Expertise in data pre-processing, feature engineering, and model evaluation o Understanding of software engineering principles (version control, CI/CD, containerization) o Familiarity with distributed computing and big data tools (Spark, Hadoop) o Ability More ❯

overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes before the pizza gets cold, keep reading. Responsibilities: Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step “chains” using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices … Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven rapid-prototyping skills using Streamlit or equivalent frameworks for … systems (PostgreSQL, MongoDB) and caching layers (Redis); Open-source contributions or published AI demos; Understanding of cost-optimization, monitoring for LLM usage and model-API trade-offs; Familiarity with prompt engineering best practices and “vibe-coding” tools (e.g., GitHub Copilot, Cursor IDE); Willingness to travel occasionally for team offsites or workshops. Seniority level Seniority level Entry level Employment More ❯

AI-powered automation tools—reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for a Python Developer with Machine Learning Engineering experience to help design and build intelligent systems that make that future a reality. This is a full-time hybrid role, based in the Nottingham area, with regular in … office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI More ❯

full-time hybrid role, based in the Nottingham area, with regular in-office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong … Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI … orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience, with strong ML or backend focus Proficiency in Python and/or TypeScript, and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

how AI is used across the business. Responsibilities Lead the development of GenAI solutions including LLMs, embeddings, and retrieval-based systems Design, build, and support internal platforms that help engineering teams adopt AI effectively Guide the adoption of classical machine learning models that address practical business problems Write high-quality, maintainable code in TypeScript and Python Drive excellence in … Coach and mentor junior engineers and contribute to the overall strategy of the AI platform What You Will Need Hands-on experience with Generative AI technologies such as LLMs, prompt engineering, and vector-based search Strong foundation in traditional ML techniques such as regression, classification, and clustering Proficiency in both TypeScript and Python for building robust applications and … architecture, including API-first design and service-oriented patterns Background in AI safety, model evaluation, or secure model deployment This role is for someone who can combine strong software engineering skills with deep AI knowledge to build products that drive impact. If that sounds like you, we would love to hear from you. More ❯

a reality. This is a full-time hybrid role , based in the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong … Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI … orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

Integrate AI agents with enterprise systems via APIs, databases, and automation tools. Experiment rapidly to improve AI-driven interactions, response quality, and automation capabilities. Collaborate with cross-functional teams (engineering, research, and product) to shape Eloquent AI’s roadmap. Monitor and improve agents’ performance via user simulations and evaluations. Requirements: 3+ years of experience in software development, AI engineering … iterate quickly to improve AI agents. Strong problem-solving skills and the ability to work closely with customers to refine AI solutions. Bonus Points If... You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs. You have experience with frontend or backend development (React, Node.js, NestJS) to enhance AI More ❯

a reality. This is a full-time hybrid role , based in the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong … Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI … orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

testing, and deployment processes. Continuously learn and stay current on the latest trends in AI and software development. What We’re Looking For: 2+ years of experience in software engineering (or strong portfolio/projects), ideally in Python. Exposure to AI/ML tools, APIs, or foundational models (e.g. OpenAI, Hugging Face, LangChain). Familiarity with cloud services (e.g. … AWS, GCP, or Azure) and containerization (e.g. Docker). Interest in or experience with building microservices , APIs, or distributed systems. Prior work with data processing, prompt engineering, or LLM evaluation. Enthusiasm for learning, experimentation, and applying new AI tools to real-world problems. Strong communication skills and a collaborative mindset. Key Benefits Competitive salary and EMI share options … shaping the future of enterprise AI. You don’t need to tick every box to apply — if you’re excited by the role and ready to grow in AI engineering, we want to hear from you. More ❯

Job Overview: Arm's Productivity Engineering (PE) team is looking for a forward-thinking Staff AI/ML Engineer to help design, develop and scale up production-grade applications powered by large language models (LLMs). This role focuses on hands-on technical innovation, with a strong emphasis on building scalable and impactful AI systems for real-world engineering … you thrive on building systems that push the boundaries of what's possible with LLMs and you want to be part of a team that's redefining the way engineering is done, we'd love to hear from you! About the Team The PE AI & Engineering Excellence team is Arm's engine for AI-driven productivity. Our mission … is to enhance engineering efficiency through automation, intelligence, and innovation. We work across a broad range of problems in Arm across hardware and software, and we drive engineering excellence and efficiency through the deployment of AI into existing workflows. Responsibilities: Build AI applications that integrate LLM capabilities into engineering workflows, from interactive agents to intelligent automation tools. More ❯

Minimum qualifications: Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external … partners or customers. Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field. Experience with Gen Ai technologies such as large language modelling, natural language processing, developing, or maintaining solutions in virtualized environments. Experience working with database technologies (e.g., SQL, NoSQL). Experience in an investigative role such as business intelligence, data analytics, or statistics. … Global Partnerships teams to ensure a cohesive and supportive experience for strategic partners. Gather, synthesize, and relay partner feedback, use cases, and technical requirements to internal Google product and engineering teams to influence development. Assist in troubleshooting technical tests during the development and deployment of GenAI applications. Provide technical guidance on API integration, model customization, prompt engineering More ❯

a reality. This is a full-time hybrid role , based in the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong … Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI … orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

Engineer to develop LLM-based agentic applications. This role involves designing, implementing, and maintaining advanced AI solutions, working with frameworks like LangChain or LangGraph, and employing techniques such as prompt engineering, RAG, and fine-tuning. You will contribute directly to product development, collaborate globally, and guide technical strategy, including risk assessment and opportunity identification. Main Responsibilities LLM Application … techniques like chunking, hybrid search, and vector databases. Monitoring Performance: Use observability tools such as Datadog and Databricks. Research & Innovation: Keep abreast of advancements in fine-tuning, RLHF, and prompt engineering. System Design & Architecture: Translate requirements into scalable, modern architectures. Testing & Integration: Develop comprehensive test suites and ensure quality assurance. Collaboration & Mentorship: Work with cross-functional teams and mentor More ❯

reward strategies, and safety layers through A/B testing against human benchmarks Maintaining a library of reusable agent templates and creating documentation and enablement materials for the wider engineering and product teams Key Responsibilities Map the AI agent ecosystem: Stay current with developments in LLMs, agent orchestration frameworks, vector databases, RAG patterns, and API-based toolchains. Uncover opportunities … Work with stakeholders to identify high-value use cases for agent-based automation that align with business goals Design agent workflows: Architect secure, auditable agent pipelines including prompt engineering, tool invocation, memory, fallback handling, and safety protocols Coordinate development: Partner with software and ML engineers to deliver robust agent implementations and validate performance Drive integrations: Connect agents to … decisions amid ambiguity And ideally, you'll also: Experience with agent evaluation and reinforcement learning with human feedback (RLHF) Familiarity with enterprise compliance requirements in regulated environments Exposure to prompt tuning, fine-tuning, or custom embedding models What we'll do for you Pay you competitively and review your salary every year Welcome you into our awesome team (dare More ❯

Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.■ Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python■ Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java, Typescript, Spring … with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features Community: Contributes to standards, patterns, and best practices that improve the engineering community. Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements. Seniority level Seniority level Mid-Senior level … Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Intuit by 2x Get notified about new Full Stack Engineer jobs in London, England, United Kingdom . Software Engineer-Full stack (All Levels) London, England, United Kingdom 2 months ago London, England, United Kingdom More ❯

use Architect new features and design the user experience Write high-quality code to create new features and fix bugs Review code and architecture as part of Canonical's engineering process Collaborate proactively with a distributed team Debug, track down and fix issues encountered by our users Foster the open source community and support customers when needed Travel internationally … and better products. Whatever your identity, we will give your application fair consideration. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Get notified about new Junior Software Engineer jobs in Manchester, England, United Kingdom … United Kingdom 2 days ago Huddersfield, England, United Kingdom 3 months ago Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 1 day ago Freelance GenAI Developer - Prompt Engineering & Data Workflows Manchester, England, United Kingdom 1 day ago Manchester, England, United Kingdom 4 days ago Manchester, England, United Kingdom 1 day ago Freelance Software Developer (C# More ❯

to join a startup at the very beginning - where your curiosity, ideas, and input will directly influence the product roadmap. You’ll be working closely with a small, experienced engineering team, building real features in a modern frontend codebase from day one. We care deeply about helping early-career engineers grow fast and with confidence. You’ll benefit from … our infrastructure and frontend, and AI-assisted tooling to move fast and stay focused - and you’ll be an integral part of shaping both the user experience and the engineering foundations as we scale. Role Overview As an AI/ML Software Engineer, you will be designing and implementing modern, scalable and high-performance artificial intelligence and machine learning … with a supportive team of experienced engineers. Some of the technologies we use, and day-to-day tasks include developing with: Generative AI systems such as OpenAI, Claude, etc Prompt engineering for media intelligence, including video understanding and summarisation Cloud based audio processing systems Audio transcription, sentiment analysis, emotion evaluation Building scalable and efficient cloud-native infrastructure for More ❯

unblock yourself, and present results clearly and impactfully. Staying on top of recent trends, with hands-on experience in fine-tuning LLMs beyond API comparisons. Strong knowledge of software engineering, including building scalable web services and APIs. Experience developing full-stack applications, including database design, API development, admin panel creation, and monitoring systems. Experience with GCP is a big … plus. DevOps experience is a big plus. Prompt engineering expertise and creative problem-solving mindset. Experience with processing multimodal data (text, images, audio) is a plus. Perks and Benefits: Fully Remote: Work from anywhere with flexible hours. In-person Meetups and regular team-building remote events: Enjoy occasional meetups and monthly game sessions. Generous Vacation: Take time off More ❯

being authentic, and by being practitioners ourselves. We are on an exciting journey together, and not everything is solved yet. BASIC QUALIFICATIONS • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience • 7+ years in Software Development and Cloud Computing building performant and scalable applications • Experience working with generative AI models … including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF). • Excellent communication and public speaking skills, with experience delivering technical content to developers of varied backgrounds. PREFERRED QUALIFICATIONS • Proven experience developing applications using generative AI tools and foundational models More ❯

optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. … reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and … AI value to HR professionals. Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional More ❯

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 ❯