76 to 100 of 101 Prompt Engineering Jobs in London

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 ❯

for AI tools AI Tooling & Frameworks: Familiarity with LangChain, OpenAI SDKs, or other AI orchestration stacks Product Sprints: You're comfortable working in rapid, iterative cycles with weekly releases Prompt Engineering: Able to craft, test, and refine prompts for outputs like chat, image, or video LLM + Vector Tools: Experience with embeddings, Pinecone/Weaviate, and building RAG More ❯

design architecture. Expertise in designing and managing AI lab environments using Infrastructure as Code (IaC), containerisation, and secure networking practises. Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment. Proficiency in building agentic workflows using modular LLM agents with memory, planning, and tool integration. Experience implementing Model Context Protocol (MCP) for secure, auditable More ❯

design architecture. Expertise in designing and managing AI lab environments using Infrastructure as Code (IaC), containerisation, and secure networking practises. Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment. Proficiency in building agentic workflows using modular LLM agents with memory, planning, and tool integration. Experience implementing Model Context Protocol (MCP) for secure, auditable More ❯

fill documentation gaps, and drive QA to ensure polish. Ensure the UI is visually appealing and functional. Facilitate collaboration and problem-solving: Unblock delivery issues and foster collaboration between engineering, design, and product. Surface critical decisions and resolve them quickly to maintain momentum. Organise and drive product rituals: Lead regular planning, retrospectives, and team alignment sessions. Manage the roadmap … and sequencing: Prioritise features based on dependencies and impact, with input from the founder. Maintain and communicate a clear, detailed roadmap. Execute agentic and AI-focused product features: Build prompt flows, design evaluation cases, and run experiments. Collaborate with domain experts to source data for testing and evaluation. Push the pace and deliver results: Act as a proactive driver … working closely with domain experts. What your day-to-day might look like: Monday: Roadmapping and milestone planning, leading the team meeting, sequencing tasks. Tuesday: Organising sessions to unblock engineering or design, finalising product briefs with input from the founder. Wednesday: Reviewing delivered features, providing feedback to ensure quality. Thursday: Writing product briefs, collaborating with engineering, and managing More ❯

of AI infrastructure. This isnt just about clean code or strong delivery - its about ownership, product intuition, and building for scale. Youll be part of a lean, high-calibre engineering function where every member contributes to planning, testing, analysis, and execution. What Youll Be Doing: Building and evolving APIs that serve as the backbone for internal systems and customer … systems Solid understanding of infrastructure-as-code and cloud orchestration (AWS, Terraform, Docker) Familiarity with queue management, observability tooling, and shipping in fast-paced environments Awareness of GenAI and prompt engineering, or a keen interest to develop expertise in this area A self-starter attitude, with a strong sense of product ownership and a passion for solving end … user challenges This is a unique opportunity to work on real-world applications of cutting-edge AI, contributing to a platform where engineering excellence and product thinking go hand-in-hand. If you're looking for a role with tangible impact and huge technical scope, wed love to hear from you. Reach out today to start the conversation. More ❯

to enhance discoverability by search engines. • Analyze how AI-powered platforms surface information about our market category, identifying opportunities to strengthen our presence and improve content visibility. • Partner with Engineering and Product teams to develop technical content that becomes trusted reference material for the AI/ML community. • Monitor emerging patterns in AI-driven search and information retrieval, adapting … content performance including traffic, engagement, and conversions through data-driven optimization. • You bring hands-on experience using AI tools like ChatGPT or Claude for content workflows, with knowledge of prompt engineering and AI-assisted content creation to enhance quality. • You understand both traditional search optimization and emerging concepts around how AI systems interpret content - including structured data, entity … tools like GA4, Search Console, and SEO platforms to measure content performance across both traditional and AI-mediated discovery channel. • You excel at cross-functional collaboration, working effectively with Engineering, Sales, and Product teams to ensure technical accuracy while maintaining engaging, accessible content. • You stay current with developments in AI and search technology, understanding their implications for content strategy More ❯

Developer Department: Engineering Employment Type: Full Time Location: London, UK Description We are looking for a Developer to join our small, dynamic team developing cutting-edge football data acquisition and analysis systems. We are leveraging frontier LLM systems to generate high-value structured data in real time, from diverse data sources, including social media. This is an opportunity to … for real-time applications AI/LLM integration: Experience with design and delivery of analytics pipelines which include LLM elements for conversion of unstructured to structured data: familiarity with prompt engineering in this domain with OpenAIand/or other frontier model APIs Version Control & CI/CD : Proficiency with Git and modern deployment practices Benefits Salary depending on More ❯

benefits, conversation design, and required deployment skills - Experience incorporating generative AI into voice or chat bots to answer questions or drive self-service experiences, including model selection and integration, prompt engineering, and data preparation. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based More ❯

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 ❯

team within TUI technology responsible for TUIs data, analytics and AI platforms as well as global guidance and enablement. We are a multi-disciplinary team of experts across Architecture, Engineering, DevOps and Agile Delivery providing services across the UK, Ireland, Sweden, Norway, Denmark, Finland, Spain, Germany, Belgium and The Netherlands. We are looking for a talented and dedicated technical … the TUI Care Foundation and the Sustainable Tech Community. ABOUT THE JOB As a Machine Learning Engineer, you will be part of a cross-functional team that enables AI engineering skills and capabilities across TUI Group, aligning with TUI's AI strategy. Being an AI enthusiast with a strong DevSecOps mindset, you'll collaborate with your team to deliver … experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and feature and/or prompt engineering. Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration. Strong problem-solving and communication skills, with an understanding of More ❯

team within TUI technology responsible for TUIs data, analytics and AI platforms as well as global guidance and enablement. We are a multi-disciplinary team of experts across Architecture, Engineering, DevOps and Agile Delivery providing services across the UK, Ireland, Sweden, Norway, Denmark, Finland, Spain, Germany, Belgium and The Netherlands. We are looking for a talented and dedicated technical … the TUI Care Foundation and the Sustainable Tech Community. ABOUT THE JOB As a Machine Learning Engineer, you will be part of a cross-functional team that enables AI engineering skills and capabilities across TUI Group, aligning with TUIs AI strategy. Being an AI enthusiast with a strong DevSecOps mindset, youll collaborate with your team to deliver solutions that … experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and feature and/or prompt engineering. Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration. Strong problem-solving and communication skills, with an understanding of More ❯

This isn’t just about clean code or strong delivery - it’s about ownership, product intuition, and building for scale. You’ll be part of a lean, high-calibre engineering function where every member contributes to planning, testing, analysis, and execution. What You’ll Be Doing: Building and evolving APIs that serve as the backbone for internal systems and … systems Solid understanding of infrastructure-as-code and cloud orchestration (AWS, Terraform, Docker) Familiarity with queue management, observability tooling, and shipping in fast-paced environments Awareness of GenAI and prompt engineering, or a keen interest to develop expertise in this area A self-starter attitude, with a strong sense of product ownership and a passion for solving end … user challenges This is a unique opportunity to work on real-world applications of cutting-edge AI, contributing to a platform where engineering excellence and product thinking go hand-in-hand. If you're looking for a role with tangible impact and huge technical scope, we’d love to hear from you. Reach out today to start the conversation. More ❯

outputs with transparent logic for full compliance and auditability. Backed by world-class investors and AI pioneers, theyre building something game changing. The Opportunity Joining a small, high-performing engineering team, youll play a key role in developing their core AI platform. This isnt just about writing code - youll have ownership over planning, testing, and scaling systems that meet … F# are all great too). Strong knowledge of infrastructure at scale AWS, Terraform, and container orchestration (Docker). Experience with queue management and observability. Familiarity with GenAI and prompt engineering is a plus. A self-starter mindset with a passion for building products that customers love. Youll be part of a mission-driven, collaborative team where your More ❯

pre- and post-sales experience, but we're okay with either!) Have worked with Fortune 500 customers for a high-growth, B2B SaaS company Experience with generative AI and prompt engineering is a huge plus Understanding of and/or experience working with APIs An excellent communicator and collaborator, able to take complex technical concepts and translate to More ❯

The chance to shape entirely new markets for AI agents A team that's genuinely excited about what they're building Bonus points for: Experience with AI agent frameworks, prompt engineering, or LLM applications Background in taking AI products from concept to market Familiarity with distributed systems and cloud infrastructure Previous work at high-growth AI or developer More ❯

The chance to shape entirely new markets for AI agents A team that's genuinely excited about what they're building Bonus points for: Experience with AI agent frameworks, prompt engineering, or LLM applications Background in taking AI products from concept to market Familiarity with distributed systems and cloud infrastructure Previous work at high-growth AI or developer More ❯

development Experience integrating APIs and third-party tools (especially AI-driven ones) Comfortable using DevOps tools (e.g. GitHub Actions, Azure DevOps, or similar) A solid grasp of AI platforms, prompt engineering, or interest in learning about AI integration in mobile Familiar with unit testing frameworks and best practices Ability to work closely with designers, engineers, and PMs in More ❯

moments to craft AI-driven content that algorithms love. Social Media Growth & Engagement - Hacking retention, optimizing content for platform algorithms, and building audiences that keep coming back . AI Prompt Engineering for Content Creation - Writing the right prompts to generate viral AI scripts, voiceovers, and visuals . What's In It for You? C ompetitive compensation, bonuses, skin More ❯

back . Bonus if you have experience with: AI Video Generation & Storyboarding - Using AI tools to create engaging visuals and stories that hook viewers from start to end. AI Prompt Engineering for Content Creation - Writing the right prompts to generate viral AI scripts, voiceovers, and visuals . What's In It for You? Skin in the game, mentorship More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

information session on Tuesday 29thOctober at 15:00. Please email us and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens' lives. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

author clean, efficient, and maintainable code; implement comprehensive testing and debugging; and lead code reviews, share best practices, and mentor teammates. Knowledge & Experience 5+ years in ML or data engineering roles, building production-grade NLP or sentiment systems. Proven track record building low-latency, high-throughput data pipelines and APIs using Go, Python, or similar. Hands-on NLP experience … extraction and scraping skills at scale (Twitter v2, Reddit, Discord, Telegram, Scrapy, Playwright). Experience with real-time streaming systems (Kafka, RabbitMQ) and ingesting high-velocity data. Deep data-engineering expertise across Postgres, Redis, InfluxDB, and ClickHouseschema design, indexing, and caching for sub-second reads. Experience deploying microservices in production using Docker and Kubernetes. Skilled in setting up observability … pressure. Understands that speed and agility are key competitive advantages and drives urgency and efficiency without compromising quality. Nice to Haves Experience finetuning largescale transformer models (BERT, GPT) and promptengineering for sentiment tasks Background building activelearning and annotation pipelines to bootstrap training data Familiarity with semantic search or vector databases (Elasticsearch, FAISS, Pinecone) for topic modeling and similarity queries Familiarity More ❯