1 to 25 of 30 Prompt Engineering Jobs in Central London

agents Design and implement memory systems Develop goal-setting and planning frameworks to increase agent autonomy Create robust evaluation methods to ensure reliability Optimize prompt engineering and LLM orchestration for complex financial scenarios Collaborate with our product and engineering teams to integrate enhanced agent capabilities Develop and … for AI agents Strong coding skills in Python and experience with Typescript Experience setting up and developing RAG flows Familiarity with vector databases Advanced prompt engineering capabilities Experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.) Track record of shipping reliable AI systems to production Valuable Additional Skills More ❯

autonomous agents. Role: Design and develop intelligent systems leveraging agentic AI concepts Integrate advanced machine learning models with reasoning, planning, and interaction modules Utilise prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) architectures Develop and deploy solutions using agent libraries such as Lang Chain, Lang Graph, and … capabilities Collaborate with cross-functional teams to implement scalable AI solutions Experience: Strong proficiency in Python programming Experience with large language models (LLMs) and prompt engineering Knowledge of vector databases and RAG architecture Hands-on experience with agentic libraries such as Lang Chain, Lang Graph, and Autogen Skilled More ❯

to be wow too. The way the robot behaves and interacts is the biggest source of Wow! Main ResponsibilitiesMain Responsibilities Build & Integrate Conversational Agents Prompt Engineering & Optimization Performance Monitoring & Feedback Get hands on with our existing behaviour ”scripts” which are shipped with every robot we sell. Challenges Harmonising … clean, maintainable code with the fluid demands of human-robot conversation. Balancing agility in prompt iteration with the rigour of measurable A/B testing. Managing unpredictability of black-box LLMs under real-time, audio-first constraints. Qualifications, Knowledge, Key Skills and Experience Essential Proven hands-on development, including … production-grade async or multithreaded systems Practical experience building chatbots or conversational AI using LLMs (e.g. GPT-4, Claude) Strong understanding of prompt engineering best-practices and evaluation metrics Desirable Expertise with unit-tested Python asyncio codebases Familiarity with container orchestration (Docker, Kubernetes) and CI/CD Useful More ❯

who want to accelerate their journey in data, skipping beginner training and diving straight into intermediate-level learning focused on Python, Power BI, APIs, Prompt Engineering, and more. If you’re ready to build a career in data and AI consulting, we’ll give you the training, support … their learning. Instead of beginning with Excel, SQL, and Tableau, you’ll start in our Intermediate Academy, which focuses on Python, Power BI, APIs, Prompt Engineering, and more. Following this, you’ll join Advance — another 12 weeks of applied training through sprints and projects, taking your technical and More ❯

a monorepo that includes both the B2B SaaS platform and AI/LLM modules Integrate and optimize commercially available LLMs (e.g., OpenAI, Gemini) via prompt engineering and inference pipeline management Implement multi-step LLM workflows using orchestration frameworks such as LangChain. Design and optimize the MySQL database Develop … proficiency in building modern web applications with Next.js, tRPC, TypeScript, and Prisma Practical experience integrating with AI models such as ChatGPT or Gemini, including prompt engineering and API management Familiarity with tools like LangChain (or similar) to implement multi-step AI workflows A demonstrated ability to learn quickly More ❯

a monorepo that includes both the B2B SaaS platform and AI/LLM modules Integrate and optimize commercially available LLMs (e.g., OpenAI, Gemini) via prompt engineering and inference pipeline management Implement multi-step LLM workflows using orchestration frameworks such as LangChain. Design and optimize the MySQL database Develop … proficiency in building modern web applications with Next.js, tRPC, TypeScript, and Prisma Practical experience integrating with AI models such as ChatGPT or Gemini, including prompt engineering and API management Familiarity with tools like LangChain (or similar) to implement multi-step AI workflows A demonstrated ability to learn quickly More ❯

into developing spatial intelligence models, as well as the practical application of existing cutting-edge techniques. Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean … communication on changing goals, plans, or requirements. Qualifications Hands-on experience working with LLM such as GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs More ❯

something working now” and worries about perfecting it later. In an ideal world, you’ll have a broad range of skills across AI and prompt engineering, backend engineering (we’re using Go), and data engineering, with a keen eye for what makes a great product experience. More ❯

skilled Python and AI Engineer to help drive this transformation—both by developing new capabilities and maintaining existing systems. This is a hands-on engineering role where you’ll work across the full software lifecycle—from development and deployment to ongoing optimisation and support. You’ll join a collaborative … closely with data engineers, analysts, and product teams to align technology with business needs. Contribute to architectural planning, code reviews, and ongoing improvements to engineering practices. Ensure alignment with cybersecurity, data privacy, and governance standards. Technical Skills: 5+ years of experience in software engineering, including 3+ years of … SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. More ❯

for diverse applications, including but not limited to text embeddings, sentiment analysis, question answering, summarization, and topic modeling. Utilize your expertise in semantic search, prompt engineering, and large language models (LLMs) to create robust NLP systems. Optimise and fine-tune models for production environments and handle real-world More ❯

and implement scalable database systems and APIs Build and enhance our AI agents Optimize application performance and ensure system reliability Collaborate with product and engineering teams to deliver end-to-end solutions Architect systems that will serve thousands of users Support AI system integration and contribute to prompt engineering efforts Required Qualifications: 5+ years developing full-stack software applications Expert-level Python skills Strong experience with modern web frameworks (FastAPI, Django, Flask) Proficiency in frontend technologies (React, TypeScript, JavaScript) Experience with databases (PostgreSQL, MongoDB) and data processing Track record of shipping reliable, scalable applications to production … Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain knowledge or fintech experience Experience with API design and microservices architecture Background in data engineering or ETL processes Knowledge of monitoring, logging, and performance optimization Understanding of agent architectures and AI system integration Knowledge of containerization and deployment (Docker More ❯

teams on high-impact AI initiatives Mentor junior consultants and contribute to business development What you bring: 3–10 years in tech consulting, software engineering, or IT strategy Strong experience with GenAI tools (e.g., AWS Bedrock, Vertex AI, Langchain) Deep understanding of AI/ML, prompt engineering More ❯

Large Language Models (LLMs) and generative AI, with proven experience shipping production AI features built on foundational models like GPT or Anthropic. Strong software engineering skills, fluent in Python , and experienced with scalable backend frameworks like FastAPI . Hands-on experience with LLM orchestration and prompt engineering More ❯

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 … 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 … 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 More ❯

construction, and decision support. This is an R&D-focused role where you’ll be experimenting with Python, LangGraph (or similar), vector databases, and prompt orchestration to prove out what's possible - then handing off validated concepts to engineering teams for scale-up. They’re open to either … learn and engage with senior stakeholders. Key experience: Python for AI/ML, automation, or backend work Hands-on with LLMs, agent frameworks, or prompt engineering Exposure to investment data or a willingness to learn quickly AWS (or similar cloud) and rapid prototyping mindset Front-end exposure (e.g. More ❯

construction, and decision support. This is an R&D-focused role where you’ll be experimenting with Python, LangGraph (or similar), vector databases, and prompt orchestration to prove out what's possible - then handing off validated concepts to engineering teams for scale-up. They’re open to either … learn and engage with senior stakeholders. Key experience: Python for AI/ML, automation, or backend work Hands-on with LLMs, agent frameworks, or prompt engineering Exposure to investment data or a willingness to learn quickly AWS (or similar cloud) and rapid prototyping mindset Front-end exposure (e.g. More ❯

research discussions, and knowledge-sharing sessions. Required Qualifications Bachelor's or Master’s degree in a quantitative discipline (e.g., Computer Science, Finance, Economics, Statistics, Engineering). 3+ years of experience in Data Science or Quantitative roles within finance. Proficiency in Python and SQL, with experience in libraries like pandas … to design and maintain scalable data pipelines. Excellent problem-solving skills and clear communication of complex ideas. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or NLP methodologies. Curiosity and motivation to explore new data science and AI technologies. Understanding of macroeconomics, financial markets, and investment principles. More ❯

or more programming languages such as C#, Python, or JavaScript. AI Knowledge : Familiarity with AI concepts and frameworks, including Large Language Models(LLM), RAG, Prompt Engineering, Azure Cognitive Services and AI Builder. DevOps Knowledge Certifications : Relevant certifications in Microsoft Power Platform and/or Azure/AWS cloud. … to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported More ❯

relevant experience Proficiency in Python or similar programming languages Experience with GenAI tools (LangGraph, CrewAI, OpenAI APIs, Hugging Face) ML fundamentals and LLM expertise (prompt engineering, cost optimization) Cloud platforms (AWS/GCP/Azure) and infrastructure-as-code DevOps tooling (CI/CD, Docker, Kubernetes) and observability More ❯

analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production-ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in … quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity More ❯

directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience … on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions . A strong interest in computer More ❯

developing and optimising production-grade AI systems, particularly with transformer-based architectures Impeccable history of academic achievement within secondary education Proven track record in prompt engineering for complex use cases, with demonstrable examples of novel applications that pushed boundaries Deep expertise in fine-tuning and optimising multi-LLM More ❯

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 … 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 … 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 More ❯

ll do: Build and maintain full-stack features (with a backend focus) Integrate with third-party services Contribute to AI voice R&D and prompt engineering Own your work—you’ll have autonomy and trust What we’re looking for: 4+ years’ experience Extensive experience working with Python More ❯

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 More ❯