1 to 25 of 76 Prompt Engineering Jobs in London

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 ❯

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 ❯

re looking for a hands-on, full-stack data generalist to own and scale our data function from end to end. This is a hybrid role that combines Data Engineering and Data Science , with a strong focus on applying AI in practical ways . You'll be responsible for everything from ingesting and transforming data to building dashboards, running … make things happen. Important: This is not an academic AI/ML role. You won't be building LLMs from scratch. Instead, you'll use off-the-shelf models, prompt engineering, and smart automation to drive outcomes. Main responsibilities: Data Engineering Maintain and evolve pipelines (BigQuery + dbt) Design and manage ETL/ELT workflows, including API … Create dashboards and datasets for sales, quality, and production teams Applied AI (Using Existing Models) Apply LLMs (e.g. GPT, Claude, Gemini) to workflows and internal tools Fine-tune or prompt models for tasks like: NCR root cause suggestions Supplier performance classification Delivery risk flagging Deploy lightweight APIs using FastAPI or Flask (GCP Cloud Run + Docker) Experience Required: Direct More ❯

month ago Be among the first 25 applicants Direct message the job poster from Morae Senior Director Human Resources | Talent & People We are looking for a Product Engineering Director to lead our engineering organization at the intersection of innovation, performance, and customer-centric delivery. As a senior leader reporting directly to the Chief Product Officer , you will be … secure, and high-performance solutions that transform the way legal professionals work. You will drive the development of our GenAI-enabled products , ensure delivery excellence, and foster a strong engineering culture rooted in agile practices, modern architecture, and continuous innovation. Key Responsibilities: Engineering Strategy & Technical Leadership Own the technical execution of the product roadmap in partnership with the … automation. Drive platform extensibility, scalability, and security for enterprise legal environments. Leverage agentic frameworks to create adaptive and context-aware features that enhance legal workflows. Execution & Delivery Champion agile engineering practices across cross-functional squads. Ensure high-quality, on-time delivery of features with clear metrics and accountability. Manage engineering capacity, prioritization, sprint planning, and release cycles in More ❯

Bell Canada, MasMovil, Telenor, HP, KPMG, and more. About the Position AI Engineers are responsible for developing and integrating AI solutions into Hiya's products, focusing on rapid iteration, prompt engineering, and practical application. You'll fine-tune and optimize foundation models, craft sophisticated multi-agent systems, and invent novel solutions to power the next generation of voice … You'll Do Integrate AI solutions into existing products and workflows Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Conduct model evaluations, prompt engineering, and fine-tuning of large language models (LLMs) Implement and manage AI orchestration, including agent-based systems Participate in the design and implementation of AI-powered applications … fast start if you have experience: Experience with cloud platforms such as AWS, Google Cloud, or Azure Knowledge of Kubernetes and containerization technologies Experience with data science and ML engineering Familiarity with retrieval-augmented generation (RAG) The requirements listed in the job descriptions are guidelines. You don't have to satisfy every requirement or meet every qualification listed. If More ❯

s where you come in. What you will be be doing (AI Solutions Engineer): Solutions development and presentation: You will develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development and more. You will present your findings to customers alongside sales. … tools like Linear. Who you are: Experience delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), prompt engineering, RAG (Retrieval-augmented generation) and/or measuring AI accuracy. Two years + experience in solutions architecture or integrating multiple applications/data streams, or ML development … within customer-facing roles. Intermediate experience with Python. University degree in computer science, engineering, mathematics or related fields. Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders with customers and partners to match value proposition to business needs. Thrived as a another fast-paced SaaS startup or scale-up during a high-growth More ❯

powered compliance platform such as document fraud detection and web due diligence. You will also develop systems to automate the testing and improvement of our solution such as evals, prompt optimisation, and fine-tuning models. About the Role As an AI Research Engineer, you will: Build and maintain LLM-based and agentic product features, including rigorous evaluation, benchmarking and … backtesting. Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning.s Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy. What You'll Do AI features: Use the latest in LLMs, agents and computer vision to build systems that … analyse results to quantify our performance and prevent regressions. MLOps: Ensure that we maintain good practices around collecting and managing datasets, backtests and benchmarks to to maximise development velocity Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs. Model Fine-Tuning: Adapt and fine-tune large language models and vision models for More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

LangGraph and OpenAI function-calling Integrating live data (e.g., sports data, betting) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience … working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token limits, and system tuning Bonus: Experience in sports analytics, fantasy sports, or betting tech TO BE CONSIDERED... Please either apply by clicking online or emailing me directly at KEY SKILLS LangGraph, OpenAI, Python … Chatbots, RAG, Prompt Engineering, LLMs, API Integration, Sports Data More ❯

focused on deploying open-source models into production environments.?? Key Responsibilities Fine-tune and evaluate LLMs for domain-specific tasks Build and optimise RAG pipelines using vector databases Develop prompt engineering strategies and orchestration flows Integrate models into backend services via APIs Implement evaluation frameworks for response quality and reliability Essential Skills Strong Python skills and experience with … Hugging Face Transformers Familiarity with LLM fine-tuning and inference optimisation Experience with vector search and embeddings (e.g. FAISS, Pinecone) Understanding of prompt engineering and few-shot learning Ability to work independently in a hybrid, agile environment Nice to Have Experience with LangChain, LlamaIndex, or similar orchestration tools Exposure to cloud platforms (AWS/GCP) and containerisation (Docker More ❯

About the Opportunity Are you a seasoned technology leader with a passion for building cutting-edge enterprise products and a hands-on approach to engineering? Join Citi's Cloud Technology Services (CTS) team and be part of our commitment to transform Citi technology leveraging game-changing Cloud capabilities to drive agility, efficiency, and innovation. We're providing our businesses … with a competitive edge by leveraging public cloud scale and enabling new infrastructure economics. As the Public Cloud Engineering Practices Lead , you will play a pivotal role in shaping and executing our public cloud strategy. You will be part of a team that continues to deliver big! From building cloud base High Performance Compute (HPC) platform to run huge … GenAI at scale, all the way to enabling payments solutions, this team is at the forefront of innovation. What You'll Do: Lead the Charge: Own the public cloud engineering practices strategy and its execution, enabling Citi's secure and enterprise-scale adoption of public cloud. You will provide technical authority for all engineering practices across all public 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 ❯

at delivering across the full product lifecycle. About the Job: As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects. What You … text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi-modal models for targeted use cases, ensuring high performance and low … latency in production. Implement distributed training and scalable MLOps pipelines for continuous model improvement Collaborate with cross-functional teams-research, product, and engineering-to embed AI capabilities into products and services Evaluate and select appropriate AI frameworks (e.g., LangChain, LlamaIndex) to integrate agent components seamlessly with enterprise systems Build full-stack applications (front-end interfaces and back-end APIs More ❯

The Department Developer Enablement is a function of the CTO organisation. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. The main goals are to improve and upgrade our tools, streamline our processes, automate and strengthen our controls, and help development teams adopt … join our department. You'll help set the technical direction, lead by example, and embed cutting-edge GenAI practices into our software delivery.This role requires deep expertise in software engineering and the latest in Generative AI, with the ability to embed these practices into teams and promote a collaborative, high-performing culture. As the GenAI Solutions Engineer, you'll … encompassing (but not limited to) Python, Go, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn. Responsibilities: Lead applied GenAI research, focusing on prompt engineering, RAG, and agentic workflows Architect and deliver end-to-end LLM solutions - from experimentation to production Design evaluation frameworks to benchmark LLM performance, safety, and behaviour Build More ❯

For 3-10 year's experience in IT strategy, consulting, or software development Prior consulting experience essential Strong technical knowledge of GenAI and ML, including LLMs, RAG, MLOps, and prompt engineering Familiarity with platforms such as AWS Bedrock, Google Vertex, LangChain, or LlamaIndex Experience with both legacy systems and modern tech stacks Proven track record in agile delivery … and digital transformation Excellent communication, analytical, and stakeholder management skills Willingness to travel internationally Desirable Attributes Degree in Computer Science, Engineering, or related field Strategic mindset with entrepreneurial drive High ethical standards and professional integrity Strong interpersonal skills and ability to build trust More ❯

a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, Hugging Face, and PyTorch, as … proof-of-concept to production deployment. - Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS's well-architected framework and AI best practices. This role can be located in either Singapore, Indonesia … ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and More ❯

/ML team as we scale beyond our seed round. Key Responsibilities Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS … learning models (e.g., CNNs, Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). … Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skillsable to explain complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or More ❯

important will be your expertise in evaluating AI system performance, managing risks, understanding current limitations, and guiding teams on responsible and strategic AI deployment. The role uniquely blends technical engineering with product management responsibilities, supporting our GenAI strategy, and would be a great fit for somebody who loves to empathise with our users to build exciting products that meet … Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agentic AI development. Strong practical knowledge of prompt engineering techniques and advanced LLM concepts, such as CoT reasoning, prompt chaining, iterative refinement, RAG techniques, MCP, multi-agent architectures, and a clear understanding of when each More ❯

Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors. Advise internal stakeholders on how evolving technologies (e.g. vector databases, RAG pipelines, prompt engineering) can drive value in future proposals. Qualifications Experience & Skills Proven experience in pre-sales or client-facing architecture roles involving AI, data science, or analytics. Strong ability More ❯

Equities Quant Platform Engineering Lead - Python (Technology) - VP Overview Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking … with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. What We do/The Team Are you a passionate and experienced engineering leader eager to build high-impact front office quant tools? Citi's Equities Technology team is undergoing significant growth and investment, specifically within our high-priority systematic trading and … analytics systems. We are seeking a hands-on Engineering Lead to drive the development of our next-generation quantitative development platform serving the Equities Cash, Derivatives, and Prime businesses. This is a unique opportunity to make a significant impact as the platform enters its key growth phase. You will be instrumental in shaping critical capabilities including building an event More ❯

with, and optimize machine learning models to meet performance requirements. Conduct quality assurance on models, ensuring robustness, explainability, and compliance with standards. Collaborate effectively with both upstream and downstream engineering sprint teams to integrate AI solutions. Participate in Agile AI development teams, contributing to incremental delivery of models alongside quality and performance metrics. Support the broader adoption of AI … with good presentation and explanation skills. Bring 3+ years of commercial or academic experience in data science and artificial intelligence. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with a BSc required and an MSc considered advantageous. Experienced in using machine learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity … ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS. Possess hands-on experience in using and developing LLM-powered applications, including retrieval-augmented generation (RAG), prompt engineering, and fine-tuning. Produce high-quality, coherent documentation to support their work, even though formal research output is not expected. Prior cybersecurity or business domain expertise is More ❯

to real-world, production-grade systems. 🔍 What You’ll Be Working On Assist in the fine-tuning and evaluation of domain-specific LLMs , applying retrieval-augmented generation (RAG) and prompt engineering techniques. Contribute to the development of multi-agent systems using frameworks such as AutoGen , LangGraph , LangChain , or CrewAI . Support the integration of AI safety techniques into … and multi-agent systems . Some knowledge of graph databases (e.g. Neo4j, Neptune, TigerGraph) and GNN libraries (e.g. PyTorch Geometric, DGL). Comfortable working with Python in collaborative software engineering environments. Awareness of cloud tools (e.g. AWS, GCP, Azure ), MLOps practices, and data pipeline technologies is a plus. 🌟 Bonus Skills Experience with model optimisation techniques for deployment (e.g. quantisation More ❯

in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity. Strong understanding of machine learning principles, deep learning techniques and GenAI concepts such as prompt engineering, chain-of-thought reasoning, prompt chaining, Retrieval-Augmented Generation (RAG), custom-built agents. Familiarity with LLM and agentic frameworks like LangChain, PydanticAI, or similar. Proficiency in More ❯

pivotal role in designing, implementing, and demonstrating AI-powered solutions tailored for our clients with our in-house AI platform, AVA+. You will work closely with our sales and engineering teams to deliver technical presentations, respond to RFPs, and develop solutions that align with client needs and strategic objectives. Your primary focus will be on agent creation and connectivity. … ensure effective communication between different components. Translate business requirements into technical solutions using AI technologies. Collaborate with data and software engineers to deliver integrated solutions. Degree in Computer Science, Engineering, or a related field. Hands-on experience with AI technologies and frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, Java, or C#. Experience with API … data integration techniques. Strong experience of setup of cloud services (AWS, Azure, or GCP), cloud based DevOps, and their application in AI solutions. Awareness of AI capabilities such as prompt engineering, tokenization, guardrails. Excellent problem-solving skills and the ability to think critically. Exposure to agentic platforms is preferable. Strong communication skills, both written and verbal, with the More ❯