51 to 73 of 73 Prompt Engineering Jobs in London

LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed … ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI More ❯

managing project implementations. You've done this before but remain hungry and excited about doing it again with us. You're bright. A bachelor's degree in computer science, engineering, math, or revenue management (or similar field of study) is required. A master's in business administration is preferred. (or equivalent experience). You're street smart. You're … solid understanding of core AI concepts, terminology, and practical applications. Effectively leverages AI tools to enhance productivity, insights, and decision-making, while adhering to ethical standards and best practices. Prompt Engineering: Skilled at crafting clear, structured, and effective prompts to optimize the quality, relevance, and utility of AI-generated outputs. Agentic AI: Understands the role of autonomous agents More ❯

is looking for a full-stack developer with strong frontend capabilities, ideally in React . The candidate must have hands-on experience with AI/LLM technologies, including RAG, prompt engineering, or GenAI systems, with clear evidence of active contribution to such projects. The role offers flexible working arrangements, with travel to the client's offices in Windsor 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 ❯

and measurable. What we’re looking for: 4+ years backend/API experience with TypeScript, Python, or Kotlin. Proven experience shipping LLM applications or AI agents. Strong knowledge of prompt engineering, RAG, embeddings, and vector databases. Passion for solving complex problems and building safe, reliable AI systems. What's on offer for you?: Salary of More ❯

and measurable. What we’re looking for: 4+ years backend/API experience with TypeScript, Python, or Kotlin. Proven experience shipping LLM applications or AI agents. Strong knowledge of prompt engineering, RAG, embeddings, and vector databases. Passion for solving complex problems and building safe, reliable AI systems. What's on offer for you?: Salary of More ❯

and measurable. What we’re looking for: 4+ years backend/API experience with TypeScript, Python, or Kotlin. Proven experience shipping LLM applications or AI agents. Strong knowledge of prompt engineering, RAG, embeddings, and vector databases. Passion for solving complex problems and building safe, reliable AI systems. What's on offer for you?: Salary of More ❯

and measurable. What we’re looking for: 4+ years backend/API experience with TypeScript, Python, or Kotlin. Proven experience shipping LLM applications or AI agents. Strong knowledge of prompt engineering, RAG, embeddings, and vector databases. Passion for solving complex problems and building safe, reliable AI systems. What's on offer for you?: Salary of 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 ❯

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 ❯

with Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration with enterprise systems (e.g., CRM, ERP, data lakes). Knowledge of prompt engineering, grounding techniques, and responsible AI principles. Excellent communication and stakeholder engagement skills, with the ability to convey complex technical concepts to non-technical audiences. Please apply with 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 ❯

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 ❯

Role Essential: Proven experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into production systems. Join a profitable, fast-growing SaaS company going through a major tech transformation. After 15+ years of success, they're rebuilding core More ❯

experience building workflows with Zapier Practical experience working with SmartSuite , Airtable , ClickUp , or similar no-code platforms Strong knowledge of APIs , webhooks , and troubleshooting integrations Familiarity with AI tools, prompt engineering, and Zapier AI Agent features Strong communication and writing skills for documentation and client interaction Ability to train both technical and non-technical users Highly organized with More ❯

AI Engineer £550 a day/Outside IR35 Fully Remote ASAP start 2 month contract Skills required: Prompt engineering for large language model LLM evaluation and optimisation MLflow for experiment tracking and deployment Nice-to-have skills: NLP techniques and sentiment analysis Experience working on healthcare-related projects Python programming More ❯

shape product decisions, tech choices, and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s talk. More ❯

shape product decisions, tech choices, and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s talk. More ❯

shape product decisions, tech choices, and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s talk. More ❯

shape product decisions, tech choices, and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s talk. More ❯

and implement tooling and technologies to support ML models and LLMs in production. Deploy, maintain, and optimise machine learning services within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models … domain-specific requirements. Build Python-based microservices, data pipelines, and serverless functions. Collaborate with stakeholders to translate data and AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS 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 ❯