26 to 50 of 63 Prompt Engineering Jobs in London

freedom to innovate and the support of a collaborative and expanding team, you'll have the chance to create something impactful from the ground up. Main Responsibilities Collaborate with engineering and MLOps teams to develop scalable, robust, and production-ready solutions Design and deliver data science and GenAI solutions that drive tangible value for clients Act as a trusted … building, deploying, and maintaining production-grade models Strong communication skills with the ability to engage a wide range of stakeholders Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning Familiarity with cloud platforms (especially Azure), and tools such as Databricks, Hugging Face, LangChain, and open-source GenAI frameworks Deep curiosity and a More ❯

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 ❯

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 ❯

and analysts to create and operationalize data & AI pipelines, ensuring compliance with data governance and security requirements. What You'll Bring 4-6 years of experience in technology, software engineering or data science/ML AI/ML & LLM engineering skills (e.g., fine-tuning LLMs and evaluating model performance) Demonstrated fluency in building GenAI products at scale and … APIs, building and developing custom agents and agentic workflows . Strong interest in and/or past direct experience building workflow automation (e.g., VBA-based tools) Demonstrated experience with prompt engineering, API integration, and debugging GenAI behaviors Familiarity with or curiosity about adult learning, edtech, instructional content, LMS/L X P platforms, etc. Strong collaboration and communication 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 ❯

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 ❯

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 ❯

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 ❯

focused chatbots for betting audiences. Youll be responsible for designing, building, and deploying AI-powered conversational agents using LangGraph, OpenAI functions, and RAG techniques. This is a hands-on engineering role where you get to ship real-time chatbots that deliver dynamic, contextual betting insights to end users. Responsibilities: Build conversational AI flows using LangGraph and OpenAI function-calling … Integrate live sports data, betting odds, and user context into dynamic responses Implement memory handling, tool usage, and RAG pipelines Collaborate on system design, prompt tuning, and architecture decisions Optimize performance for speed, stability, and user satisfaction Skills & Experience: Proven experience with LangChain or LangGraph Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building … chatbots or agent-based systems Knowledge of real-time APIs and data integration (e.g., live sports feeds, betting odds) Understanding of prompt engineering, token limits, and response tuning Bonus: Experience in sports analytics, fantasy sports, or betting applications About us: At Peregrine, we see beyond the immediate and look to the horizon. We build lasting, meaningful partnerships with More ❯

job You'll bridge the gap between cutting-edge AI technologies and non-technical teams, empowering them to leverage modern tools that can transform their workflows without requiring dedicated engineering resources. We're looking for someone with practical experience applying GenAI tools (like ChatGPT, Glean, Gemini, Claude) to real business problems, who can guide non-technical stakeholders through meaningful … department Advise departments on best-fit commercial AI models based on use case, highlighting strengths and weaknesses of tools like GPT-4, Claude, Glean, Gemini, etc. Support teams in prompt engineering and GenAI application design to automate tasks, reduce manual work, and improve productivity Champion the use of GenAI tools by sharing practical, tested examples of adoption within … solution templates that can be deployed across multiple teams Growth in employee confidence and capabilities with AI-powered tools Demonstrated improvement in team productivity through GenAI-enabled processes and prompt engineering best practices How we work We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build to impact. More ❯

Group university At least 2+ years of hands-on experience developing production-grade AI/ML systems A flawless academic record in secondary and higher education Proven experience in prompt engineering for complex applications Strong expertise in LLM fine-tuning and optimisation Willingness to work from our London office 4 days per week (Wednesdays remote) Work on cutting … actually changes lives the opportunity to collaborate with a world class academic team 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 Oho Group Ltd by 2x Get notified about new Machine Learning Engineer jobs in London Area More ❯

understanding of the Writer solutions, the broader AI and LLM landscape, as well as our customer's ecosystem so you can offer prescriptive solution recommendations Work alongside Product and Engineering to QA the outputs from the implementation, calibrate, and iterate until we have an optimal output Act as a resource and technical liaison for our Partner ecosystem, ensuring they … technical customer-facing roles such as Solutions Architect or Sales Engineer Have worked with Fortune 500 customers for a high-growth, B2B SaaS company Experience with generative AI and prompt engineering is a huge plus Comfortable with python and ability to pick up coding frameworks Python skills so that you can easily build on top of Writer Framework More ❯

and collaboration tools. Familiarity with software development lifecycle, with the ability to understand and manage technical requirements. Demonstrated use of AI tools (e.g. ChatGPT, Copilot, Bolt, Cursor test automation, prompt engineering) in enhancing documentation, planning, QA or productivity. Highly analytical and detail-oriented, with solid problem-solving capabilities. Ability to thrive in a fast-paced, ambiguous environment with … contract development). Experience working in startup or innovation-focused environments and/or enterprise clients. Experience being Line Nahwe Bachelor's or Master's degree in Computer Science, Engineering, Business Management, or related field. Familiarity with tools and methods in BDD, TDD, Continuous Integration, and Automated Testing. C1 or above English proficiency. Experience or interest in applying AI More ❯

sprint you're spinning up CI/CD; the next you're tweaking prompts or jumping on a creator livestream to debug user feedback in real time. Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements Requirements Fresh degree, fierce skills: BSc/MSc in CS, AI, Maths, or … new MCPs, and deploy multi-agent systems Action oriented: Strong bias toward rapid execution and experimentation. Nice-to-haves React/Next.js, Supabase/Postgres, Python back-end chops Prompt-engineering or fine-tuning experience Familiarity with Stripe, Discord, TikTok or other creator-economy tools Side hustle, hackathon wins, or open-source contributions Benefits Perks & upside Equity: Significant More ❯

Advanced Excel , including VBA or similar tools. Ability to design models for digital platform delivery using global datasets and technologies. Tech-savvy mindset with exposure to GenAI tools or prompt engineering . Strong interpersonal and communication skills, with confidence in client-facing engagements. Self-managed and accountable, with the ability to thrive in a fast-paced, high-growth … data or impact standards. Familiarity with SaaS platforms and digital product development. Education Master’s degree in Environmental Science, Social Studies, Economics, or related discipline. Bachelor’s degree in Engineering, Science, or other quantitative fields. - Action orientation – this is a role which will be self-driven with minimal guidance.The successful candidate will need to show experience of self-management More ❯

infrastructure. - 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 ❯