51 to 75 of 111 Prompt Engineering Jobs in England

vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. Requirements You We are looking for someone who is as excited … who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive software engineering expert who is familiar with using AI tooling and prompt engineering, and who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills … in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if: Have strong Python and engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes Have an understanding More ❯

LangGraph and OpenAI function-calling Integrating live data (e.g., sports data, betting) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience … working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token limits, and system tuning Bonus: Experience in sports analytics, fantasy sports, or betting tech TO BE CONSIDERED... Please either apply by clicking online or emailing me directly at KEY SKILLS LangGraph, OpenAI, Python … Chatbots, RAG, Prompt Engineering, LLMs, API Integration, Sports Data More ❯

Define and document the testing strategy for GPT-based applications, covering functional, non-functional, and ethical dimensions. Develop test plans, cases, and data focused on LLM-specific behaviors like prompt engineering, hallucination detection, and response consistency. Lead the end-to-end QA lifecycle for GenAI features, from requirements to post-deployment monitoring. Establish quality gates and acceptance criteria … for LLM outputs, ensuring accuracy, safety, and fairness. Identify and implement AI-specific testing tools (e.g., prompt testing, adversarial testing). Integrate testing into CI/CD pipelines in collaboration with MLOps and DevOps teams. Ensure compliance with AI governance, data privacy, and responsible AI standards. Validate API integrations, including authentication, rate limits, and error handling. Your Profile Proven … experience as a Test Lead, preferably in GenAI or LLM-based applications. Strong understanding of LLMs, prompt engineering, and generative AI workflows. Skilled in test automation using tools like Python, PyTest, Postman, and LangChain testing utilities. Familiarity with OpenAI APIs, model fine-tuning, and evaluation techniques. Knowledge of AI ethics, bias detection, and responsible AI practices. Experience in More ❯

LLM ideas into working demos overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes, 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. What you will get in return: Competitive More ❯

the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform. You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that intelligently manage dynamic sourcing flows, sourcing tasks, onboarding processes, and drive real business outcomes. Responsibilities Supporting the development of the … etc.) and ensure business case is measured Skills/Qualifications Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions Familiarity with LLMs, prompt engineering, and inference workflows from a user experience perspective Interaction with AI technology training and iteration from MVP to fully autonomous and self-learning Track record for delivering More ❯

the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform. You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that intelligently manage dynamic sourcing flows, sourcing tasks, onboarding processes, and drive real business outcomes. Responsibilities Supporting the development of the … etc.) and ensure business case is measured Skills/Qualifications Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions Familiarity with LLMs, prompt engineering, and inference workflows from a user experience perspective Interaction with AI technology training and iteration from MVP to fully autonomous and self-learning Track record for delivering More ❯

Our Roku Mobile Backend team designs and implements robust backend services powering our mobile apps, ensuring optimal performance, low latency, and seamless scalability. If you're passionate about backend engineering and thrive on delivering innovative mobile-cloud solutions, we'd love for you to join us. We collaborate closely with client-side engineers, other backend teams, and product management … Collaborate cross-functionally with product, design, frontend, and other backend teams, driving seamless integration, consistency, and exceptional user experiences. We're Excited If You Have Expertise of backend software engineering Bachelor's or master's degree in computer science, Engineering, or related field (or equivalent experience). Strong proficiency in backend languages like Java or Python. Proficiency in … using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering Demonstrable experience designing, building, and maintaining RESTful APIs, utilizing HTTPS, JSON, and WebSocket. Hands-on expertise developing and operating large-scale cloud services using Docker and Kubernetes. Proven capability in writing and maintaining comprehensive automated unit and integration tests. Deep understanding of distributed systems, microservices architecture More ❯

user-friendly, and aligned with evolving business needs and innovation goals. In this role, you will: Define and drive strategic product roadmaps across complex, multi- workstream environments Collaborate with engineering leaders to enhance technical foundations and ensure scalable solutions Lead responsible AI/ML practices, including model evaluation, monitoring, and retraining Own product profitability and make business-impacting decisions … technical products You have a p roven track record of owning end -to-end product lifecycle (strategy, roadmap, execution, launch, iteration) and e xperience working with cross-functional teams (engineering, research, design, legal) You have s trong domain expertise of AI/ML fundamentals and industry trends You have k nowledge of Generative AI (LLMs, embeddings, transformers, prompt engineering, RAG, etc.) and experience with ML platforms, tooling, and workflows (e.g., feature stores, model registries, training pipelines) You have d eep expertise in competitive landscape analysis, AI/ML trends, and data-driven product strategy You have e xperience working closely with ML engineers and data scientists to define technical requirements and evaluate feasibility with the a More ❯

on technical practitioner and individual contributor - Hands-on experience working on the design, development and deployment of contact center solutions at scale PREFERRED QUALIFICATIONS - Computer Science, Information Systems, or Engineering background preferred; Master's degree desired - 10+ years of experience building call center/collaboration/telephony platforms in a Cloud or On-Premises environment, particularly building application integration … experience - Experience implementing and optimizing AI-powered customer service solutions - Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning - Serverless development experience including complex integrations with Amazon Lex, Lambda More ❯

systems that enhance the Appwrite platform. Identify opportunities to integrate AI features into the developer experience (e.g., intelligent code suggestions, documentation search, etc). Work closely with Product and Engineering teams to prototype and ship AI-driven features. Fine-tune and evaluate open-source as well as commercial LLMs. Monitor drift, performance, accuracy, and efficiency of AI systems in … and related areas. Strong programming skills in Python (or similar), with experience in ML frameworks like PyTorch, TensorFlow, or HuggingFace. Hands-on experience with LLMs, embeddings, vector databases, and prompt engineering. Familiarity with deploying models in production environments (Docker, Kubernetes etc.). Passion for developer tools, open-source culture, and improving developer workflows. Excellent communication and collaboration skills in More ❯

implementation Solid understanding of database design and optimization Excellent problem-solving skills and attention to detail Strong communication skills and the ability to work independently Bonus Points Experience with prompt engineering and LLM integration (OpenAI, Anthropic, etc.) React experience for front-end development Familiarity with real estate industry workflows and CRM systems Experience with AWS services Knowledge of More ❯

Backend Engineer working on a technical product. Experience working with databases (we use Postgres and Redis). Good system design skills. We are hiring at all levels of our Engineering Progression framework in London. It would also be great if you have: Experience with functional programming. Familiarity with Elixir is a plus, but other languages like Scala, GoLang, Node.js … at scale; ideally you should be comfortable in using AWS and terraform. An understanding of queue management and observability. Experience with orchestration tools like Docker. Knowledge of GenAI and prompt engineering. This role is likely to be a great fit if you: Are truly excited by, and thrive in, the initial years of a company's inception, particularly relishing More ❯

Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly … with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager Technical discussion with the VP of Engineering Sign of chat with CEO More ❯

Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly … with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager Technical discussion with the VP of Engineering Sign of chat with CEO More ❯

The AI Software Engineer will develop proof of concepts (POCs), secure business approval, and implement AI solutions at scale globally. Key skills include proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Collaboration with cross-functional teams and a strong understanding of data ethics and AI bias are also essential. … and resolve them within the estimated time and expected quality outcome. Document your work including solution and coding comments and release notes. Education: Bachelor's degree in Computer Science, Engineering, or equivalent field or appropriate experience will be considered. Experience: 5+ years of extensive experience in software development with a strong understanding of front-end and back-end technologies. … proficiency in .Net, Java, JavaScript, etc. is desirable. Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face and OpenAI. Prompt Engineering: Ability to design and optimize prompts for AI models to achieve desired outputs. AI Integration in Business Processes: Experience in integrating AI solutions into existing business processes More ❯

delivery models. The Trainer will support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops, online training, hands-on labs, and ongoing consultancy-style support aligned to apprenticeship standards. Role … an extended transformation journey, guiding them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure More ❯

part of the team developing and maintaining the QAD Champion API Backend (Golang), serving the primary AI use-cases for various products within QAD. As a part of the Engineering team, based in the US and Europe, this role will bring you great opportunities to work on various projects, technologies, with a diverse range of teams. The Engineering … system. Commit to the team to help the team and the wider business achieve our goals. Write testable and maintainable code. Qualifications Required Qualifications: Education: Degree in Information Technology, Engineering Computer Science or related fields Professional experience: 5+ years Technical skills: Strong Knowledge of Golang Knowledgeable of maintaining versioned API contracts API-first design using Open Api Spec (OAS … handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing More ❯

part of the team developing and maintaining the QAD Champion API Backend (Golang), serving the primary AI use-cases for various products within QAD. As a part of the Engineering team, based in the US and Europe, this role will bring you great opportunities to work on various projects, technologies, with a diverse range of teams. The Engineering … system. Commit to the team to help the team and the wider business achieve our goals. Write testable and maintainable code. Qualifications Required Qualifications: Education: Degree in Information Technology, Engineering Computer Science or related fields Professional experience: 5+ years Technical skills: Strong Knowledge of Golang Knowledgeable of maintaining versioned API contracts API-first design using Open Api Spec (OAS … handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing More ❯

Role Purpose This is a blended role within the AI Centre of Excellence, mainly focusing on the development and engineering of solutions leveraging Large Language Models (LLMs). The key purpose of the role is to design, implement, and maintain customised LLM solutions that deliver measurable business value. Working within the central AI COE team the successful candidate will … or TensorFlow Understanding of distributed systems, containerization (Docker), and orchestration tools (Kubernetes) Knowledge of scaling LLM applications. Knowledge of annotation for fine tuning and evaluating LLMs Understanding of varied prompt engineering techniques Understanding how single and multi-agent setups can interact with extended logic. Familiarity with responsible AI practices, including bias mitigation, fairness, and model interpretability. Awareness of More ❯

world's most notable brands. The ideal candidate should be comfortable speaking with developers, product managers, and C-level executives. You should have at least two years of software engineering experience in front-end, mobile, and backend technologies. This role will support EMEA and Eastern United States regions, reporting into the U.S.-based Head of Technical Services. What you … an eye for good UX design Ability to travel, as necessary, to visit customers (up to 20% travel time) What you bring to the table BS in Information Systems, Engineering, or related field 3-5 years of customer-facing, hands-on pre- and post-sales/solutions engineering experience Proven experience in reading, debugging, and understanding web applications … RESTful Services (Post, Get, Put, Delete) Working knowledge of web integration, including iframes, widgets, SDK, Single Sign On, APIs, and other SaaS technologies Foundational understanding of AI concepts, including prompt engineering, RAG, and LLMs Excellent verbal and written communication skills, including strong empathy for customer needs and collaboration with cross-functional teams Experience in at least one web More ❯

creates impact. What You'll Be Doing: Building automated AI workflows using no-code/low-code tools Connecting APIs, apps, and data to power decision-making agents Using prompt engineering to design smart LLM-powered behaviours Prototyping and deploying autonomous systems that actually do stuff Working with developers and engineers where needed (but you lead the build More ❯

in real-world scenarios Proficiency in Python and core ML frameworks Strong grasp of statistics and core ML techniques - both traditional and generative Experience with LLMOps practices such as prompt engineering, deployment, and lifecycle management of large language models Strong understanding of model evaluation methodologies and experience building robust evaluation solutions Familiarity with MLOps tooling for monitoring, automation More ❯

Prompt Engineer (AI & Data) – Junior to ExperiencedRemote work - United Kingdom Competitive day rate AI | LLMs | RAG | Healthcare Tech | Data Engineering Tech for Good | Real-World Impact | Ethical AI We're Hiring: Full Stack Developer for Generative AI ApplicationsAre you a seasoned developer excited about the future of AI? We're looking for a Full Stack Developer with a … you'll be at the forefront of transforming ideas into intelligent, scalable solutions.?? What You’ll Be Doing Designing, testing, and refining prompts for LLMs (OpenAI, Claude, etc.) Building prompt libraries and evaluation frameworks Structuring unstructured data (PDFs, notes, forms) into usable formats Working with RAG pipelines and vector databases (FAISS, Pinecone, etc.) Embedding LLMs into user-facing healthcare … tools (e.g., AI assistants, in-context help) Collaborating with product, design, and clinical teams to ship real features What You’ll Bring Experience with LLMs and prompt engineering (OpenAI, Anthropic, etc.) Familiarity with structured (SQL, JSON, CSV) and unstructured data Exposure to vector stores and retrieval-augmented generation (RAG) Strong Python skills and comfort working with APIs and More ❯

Prompt Engineer (AI & Data) - Junior to Experienced Remote work - United Kingdom Competitive day rate AI | LLMs | RAG | Healthcare Tech | Data Engineering Tech for Good | Real-World Impact | Ethical AI We're Hiring: Full Stack Developer for Generative AI ApplicationsAre you a seasoned developer excited about the future of AI? We're looking for a Full Stack Developer with … you'll be at the forefront of transforming ideas into intelligent, scalable solutions. What You'll Be Doing Designing, testing, and refining prompts for LLMs (OpenAI, Claude, etc.) Building prompt libraries and evaluation frameworks Structuring unstructured data (PDFs, notes, forms) into usable formats Working with RAG pipelines and vector databases (FAISS, Pinecone, etc.) Embedding LLMs into user-facing healthcare … tools (eg, AI assistants, in-context help) Collaborating with product, design, and clinical teams to ship real features What You'll Bring Experience with LLMs and prompt engineering (OpenAI, Anthropic, etc.) Familiarity with structured (SQL, JSON, CSV) and unstructured data Exposure to vector stores and retrieval-augmented generation (RAG) Strong Python skills and comfort working with APIs and More ❯

integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in … a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modelling stack to make models that are as useful and safe for health as possible. We are looking for early … research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks. Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement More ❯