26 to 47 of 47 Prompt Engineering Jobs in Central London

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

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

mixed ability. Bonus points for: Experience with NLP/LLMs, Computer Vision or Generative AI Formal teaching qualification or EPA assessor experience Hands-on exposure to responsible AI or prompt engineering Why join? You'll be part of a mission-driven organisation known for making cutting-edge technology understandable and exciting. Learning culture: Dedicated learning calendar and quarterly More ❯

rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯

and AI initiatives, including NLP, Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. Work independently while providing clear justification for technical decisions. Key Skills & Experience Strong experience in data pipeline development and orchestration. Proficient with cloud More ❯

systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years … experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

with excellent communication and stakeholder engagement skills. Strong understanding of Microsoft 365 and related technologies. Familiarity with AI tools such as Azure AI Services, large language models (LLMs), or prompt engineering (desirable). Customer-focused mindset with the ability to deliver solutions that drive measurable business value. Clear and persuasive presentation skills, with the confidence to work directly More ❯

maintain flawless on-time delivery and service levels Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools, or machine learning products More ❯

code, iterate—always focused on solving real customer problems. Architect and ship React/TypeScript frontends and Python services with high standards for performance, security, reliability, and observability. Own prompt engineering and evaluation for production AI features, with robust test harnesses and quality signals built in. Integrate with enterprise systems (e.g. Dynamics 365, SAP), email/storage APIs More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

concepts, latest tooling and developments, and underlying technical foundations and history. Proficient in producing high quality client facing documentation and materials with support from design colleagues. Strong understanding of prompt engineering. Strong understanding of customer lifecycle design, engagement frameworks, and value measurement. You will have immersed yourself in the world of AI, and soaked up every opportunity to make More ❯

development (Matillion preferred) and Agile/Scrum environments. Knowledge of CI/CD pipelines, versioning (Bitbucket), and automated testing tools. Awareness of AI and Machine Learning integration concepts, including prompt engineering. Who You Are A strategic thinker who connects technical architecture with business value. Confident operating at senior stakeholder level and influencing key decisions. Collaborative, articulate, and able to More ❯

the University of Oxford. Jack Haslehurst, who led all design and user research at Kraken, 70+ team. Ex Zoe, The Collective and Ideo Nick Kuh, who was Director of Engineering at ASquared and founder of multiple app startups Rafał Radziszewski, experienced Ruby and Elixir developer, ex Team Lead at v7. Co-founded startup before Josie Nelder, experienced Full Stack … opportunities for career development available (IC or Management). Areas of work : Backend Development: Building our backend services : Developing robust, fault-tolerant Elixir applications using Phoenix and OTP AI engineering : Designing and implementing sophisticated AI pipelines, managing model interactions, and optimizing AI response handling AI system integration : Architecting systems that interface with multiple AI services and models efficiently, including … prompt engineering and context management Data management : Implementing advanced data storage, retrieval, and processing systems to handle large volumes of user data and AI interactions Database design : Creating efficient database schemas and query patterns using PostgreSQL with a focus on AI-related data structures Real-time features : Implementing Phoenix Channels, WebSockets and real-time communication API development : Building More ❯

the Jinna.ai web app using React (Vite) and TailwindCSS • Work closely with Supabase for backend, auth, and database logic • Integrate AI models (Gemini, OpenAI, etc.) into the product — from prompt engineering to prototype testing • Collaborate on product decisions, architecture, and UX flows • Contribute to a modular microservices/event-driven setup on GCP • Maintain clean Git/GitHub More ❯

on Legal AI tools, lead pilots, Implementation & Adoption of new technology, be a translator within the firm for cross-functional collaboration and support development of AI-native clients. Master prompt engineering techniques for legal AI platforms to optimise accuracy and efficiency Design and test AI-powered legal workflows, including chain-of-thought reasoning and multi-step processes Lead More ❯

and Healthcare technology sector Salary up to £130k + Equity Paddington based (4–5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan – 07704 152638 WHO WE ARE: We’re a … building production-grade AI solutions that make a tangible difference. WHAT YOU WILL BE DOING: Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data … collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working More ❯

and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We're a … building production-grade AI solutions that make a tangible difference. WHAT YOU WILL BE DOING: Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data … collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working More ❯

globally. The company has launched a state-of-the-art AI-driven platform and is entering a significant expansion phase, having scaled rapidly over the past 18 months across engineering, sales, and customer success. As a Senior Backend Engineer, you’ll play a pivotal role in designing, building, and scaling the company’s backend systems and infrastructure. You’ll … Computer Science or related field. 5+ years’ experience in backend development with Python. Proven experience in start-up or scaling SaaS environments. Familiarity with data pipelines, vector databases, and prompt engineering. Strong problem-solving skills and ability to work autonomously in a fast-paced, high-performing environment. More ❯

ideas, and deliver scalable AI-driven systems that make a measurable impact. What you'll be doing: Collaborating with business teams to uncover and define AI/automation opportunities. Engineering and optimising prompts to ensure consistent, high-quality LLM outputs. Building and deploying AI-powered workflows that connect LLMs with business applications, APIs, and automation tools. Implementing RAG (Retrieval … governance, and compliance. Staying ahead of the curve with emerging AI tools, frameworks, and trends. What you'll bring: Hands-on experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering. Familiarity with LangChain, LlamaIndex, or similar frameworks. Proficiency in Python or JavaScript for prototyping and integration work. Experience using automation platforms (UiPath, Power Automate, Zapier, n8n) and APIs. More ❯

helping people focus on higher-value creative and strategic work. Backed by top-tier investors, we’ve experienced rapid growth over the past year and are now scaling our engineering team to power the next wave of innovation. Our culture values hands-on collaboration, experimentation, and fast iteration. About the Position We’re hiring a Front End Engineer who … s excited about blending solid product engineering with applied AI research. You’ll work closely with product and research teams to design, prototype, and launch intelligent automation tools and AI-driven products. This position offers a front-row seat to cutting-edge developments in large language models, system design, and human–AI interaction. You’ll gain hands-on experience … with intuitive, user-focused interfaces. What You’ll Do Design, build, and iterate on fullstack systems that power AI-driven automation. Explore and evaluate new approaches in AI orchestration, prompt design, and model integration. Collaborate with product and design teams to improve user experience for technical and non-technical users. Contribute to team-wide learning through documentation, technical reviews More ❯

OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy. TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worldchallenges. RoleOverview TheyarelookingforanexperiencedLeadDataScientisttospearheadmachine-learninginitiatives,withparticularfocusoncomputervision,largelanguagemodels,andproductionreadyMLpipelinesinAzure.Youwillactasthetechnicalleadfortheteam,settingdirection,guidingbestpractices,andensuringthesuccessfuldeliveryofhigh-impactAIsolutions. KeyResponsibilities Develop,train,anddeploycomputervisionmodels(objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands More ❯