24 of 24 Remote Prompt Engineering Jobs in London

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 ❯

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 ❯

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 ❯

leader driving our AI-native product vision. You will own the product roadmap for our innovative AI-powered Dialer and Assistant application, translating business requirements from partners into actionable engineering tasks while prioritizing features to deliver a highly engaging MVP within 6-9 months. You will guide the application's evolution from an initial 'Reactive Assistant' to future 'Proactive … and articulate the product vision, strategy, and multi-phase roadmap for our voice AI solutions, prioritizing essential features for the AI MVP. ? Translate business requirements from partners into actionable engineering tasks. ? Own and meticulously manage the product backlog, writing detailed user stories and acceptance criteria for all features. ? Develop core features including AI-powered call pre-screening, post-call … in this new venture. ? Analyze user feedback and usage data to inform product decisions and prioritize feature enhancements. Stakeholder Management & Business Impact ? Serve as the primary liaison between the engineering team and stakeholders, e.g., interim C-levels, CX, et al. ? Collaborate with engineering teams to define, track, and analyze success metrics and KPIs that measure product success and More ❯

AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in return 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 ❯

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 ❯

vision technologies, shaping Unitary's 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 someone who is as excited … who are happy to get 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 new ideas. Strong communication skills … in everything you do and 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 human processes Have an understanding 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 ❯

systems that enhance the Appwrite platform. Identify opportunities to integrate AI features into the developer experience (e.g., intelligent code suggestions, documentation search, etc). Work closely with Product and Engineering teams to prototype and ship AI-driven features. Fine-tune and evaluate open-source as well as commercial LLMs. Monitor drift, performance, accuracy, and efficiency of AI systems in … and related areas. Strong programming skills in Python (or similar), with experience in ML frameworks like PyTorch, TensorFlow, or HuggingFace. Hands-on experience with LLMs, embeddings, vector databases, and prompt engineering. Familiarity with deploying models in production environments (Docker, Kubernetes etc.). Passion for developer tools, open-source culture, and improving developer workflows. Excellent communication and collaboration skills in More ❯

implementation Solid understanding of database design and optimization Excellent problem-solving skills and attention to detail Strong communication skills and the ability to work independently Bonus Points Experience with prompt engineering and LLM integration (OpenAI, Anthropic, etc.) React experience for front-end development Familiarity with real estate industry workflows and CRM systems Experience with AWS services Knowledge of More ❯

Backend Engineer working on a technical product. Experience working with databases (we use Postgres and Redis). Good system design skills. We are hiring at all levels of our Engineering Progression framework in London. It would also be great if you have: Experience with functional programming. Familiarity with Elixir is a plus, but other languages like Scala, GoLang, Node.js … at scale; ideally you should be comfortable in using AWS and terraform. An understanding of queue management and observability. Experience with orchestration tools like Docker. Knowledge of GenAI and prompt engineering. This role is likely to be a great fit if you: Are truly excited by, and thrive in, the initial years of a company's inception, particularly relishing More ❯

part of the team developing and maintaining the QAD Champion API Backend (Golang), serving the primary AI use-cases for various products within QAD. As a part of the Engineering team, based in the US and Europe, this role will bring you great opportunities to work on various projects, technologies, with a diverse range of teams. The Engineering … system. Commit to the team to help the team and the wider business achieve our goals. Write testable and maintainable code. Qualifications Required Qualifications: Education: Degree in Information Technology, Engineering Computer Science or related fields Professional experience: 5+ years Technical skills: Strong Knowledge of Golang Knowledgeable of maintaining versioned API contracts API-first design using Open Api Spec (OAS … handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing More ❯

in real-world scenarios Proficiency in Python and core ML frameworks Strong grasp of statistics and core ML techniques - both traditional and generative Experience with LLMOps practices such as prompt engineering, deployment, and lifecycle management of large language models Strong understanding of model evaluation methodologies and experience building robust evaluation solutions Familiarity with MLOps tooling for monitoring, automation More ❯

Prompt Engineer (AI & Data) - Junior to Experienced Remote 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 … 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 (eg, 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 ❯

job You'll bridge the gap between cutting-edge AI technologies and non-technical teams, empowering them to leverage modern tools that can transform their workflows without requiring dedicated engineering resources. We're looking for someone with practical experience applying GenAI tools (like ChatGPT, Glean, Gemini, Claude) to real business problems, who can guide non-technical stakeholders through meaningful … department Advise departments on best-fit commercial AI models based on use case, highlighting strengths and weaknesses of tools like GPT-4, Claude, Glean, Gemini, etc. Support teams in prompt engineering and GenAI application design to automate tasks, reduce manual work, and improve productivity Champion the use of GenAI tools by sharing practical, tested examples of adoption within … solution templates that can be deployed across multiple teams Growth in employee confidence and capabilities with AI-powered tools Demonstrated improvement in team productivity through GenAI-enabled processes and prompt engineering best practices How we work We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build to impact. More ❯

Group university At least 2+ years of hands-on experience developing production-grade AI/ML systems A flawless academic record in secondary and higher education Proven experience in prompt engineering for complex applications Strong expertise in LLM fine-tuning and optimisation Willingness to work from our London office 4 days per week (Wednesdays remote) Work on cutting … actually changes lives the opportunity to collaborate with a world class academic team Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Oho Group Ltd by 2x Get notified about new Machine Learning Engineer jobs in London Area More ❯

and collaboration tools. Familiarity with software development lifecycle, with the ability to understand and manage technical requirements. Demonstrated use of AI tools (e.g. ChatGPT, Copilot, Bolt, Cursor test automation, prompt engineering) in enhancing documentation, planning, QA or productivity. Highly analytical and detail-oriented, with solid problem-solving capabilities. Ability to thrive in a fast-paced, ambiguous environment with … contract development). Experience working in startup or innovation-focused environments and/or enterprise clients. Experience being Line Nahwe Bachelor's or Master's degree in Computer Science, Engineering, Business Management, or related field. Familiarity with tools and methods in BDD, TDD, Continuous Integration, and Automated Testing. C1 or above English proficiency. Experience or interest in applying AI More ❯

Advanced Excel , including VBA or similar tools. Ability to design models for digital platform delivery using global datasets and technologies. Tech-savvy mindset with exposure to GenAI tools or prompt engineering . Strong interpersonal and communication skills, with confidence in client-facing engagements. Self-managed and accountable, with the ability to thrive in a fast-paced, high-growth … data or impact standards. Familiarity with SaaS platforms and digital product development. Education Master’s degree in Environmental Science, Social Studies, Economics, or related discipline. Bachelor’s degree in Engineering, Science, or other quantitative fields. - Action orientation – this is a role which will be self-driven with minimal guidance.The successful candidate will need to show experience of self-management More ❯

ability to drive customer growth, retention, and expansion through data-driven insights Technical & Analytical Competencies: Experience in AI/ML space, particularly conversational AI or automation platforms Hands-on prompt engineering experience with ability to optimize AI responses, train conversation flows, and refine model outputs Experience analyzing usage patterns, competitive landscapes, and translating data into actionable strategies Comfort More ❯

CEO, a seasoned founder with a background at McKinsey and Rocket Internet. This is a remote-first role, but candidates must be based in Europe. Requirements Proven full-stack engineering background with the ability to independently ship products end-to-end Experience building and integrating LLM-powered systems, including prompt engineering, embedding models, and custom RAG pipelines … analytics pipelines Self-starter with a hacker mentality: fast, iterative, hands-on, and resourceful Collaborative mindset: able to work closely with product, commercial, and design teams - and eventually lead engineering as the product scales Experience at a fintech company or financial institution, or familiarity with capital markets Nice to have : A genuine passion for fintech and an ambition to More ❯

Prompt Engineer & AI Systems/Automation Project Manager (Fixed-Term) Location: Hybrid role, 3 days per week based in London Contract: 3-Month Fixed-Term Start Date: Immediate Part time candidates considered as well as full time. Salary £50-60,000 DOE About the Role A fast-growing creative agency is building an AI-first internal operating system - and … we're looking for a high-impact Prompt Engineer & AI Systems Manager to help shape and deliver it. This role focuses on internal systems that power business operations, sales enablement, and marketing automation through the use of GPT models and low-code tools. This is a delivery-focused role ideal for someone with a background in internal automation, AI … systems architecture, and prompt engineering. You'll collaborate cross-functionally with Sales, Operations, Delivery, and Leadership teams to create, refine, and scale AI-powered workflows. While initially offered as a three-month engagement, there is strong potential for extension based on performance and business needs. Key Responsibilities AI Systems Ownership Maintain and evolve the internal AI Operating System. Lead More ❯

Prompt Engineer & AI Systems/Automation Project Manager (Fixed-Term) Location: Hybrid role, 3 days per week based in London Contract: 3-Month Fixed-Term Start Date: Immediate Part time candidates considered as well as full time. Salary £50-60,000 DOE About the Role A fast-growing creative agency is building an AI-first internal operating system - and … we're looking for a high-impact Prompt Engineer & AI Systems Manager to help shape and deliver it. This role focuses on internal systems that power business operations, sales enablement, and marketing automation through the use of GPT models and low-code tools. This is a delivery-focused role ideal for someone with a background in internal automation, AI … systems architecture, and prompt engineering. You'll collaborate cross-functionally with Sales, Operations, Delivery, and Leadership teams to create, refine, and scale AI-powered workflows. While initially offered as a three-month engagement, there is strong potential for extension based on performance and business needs. Key Responsibilities AI Systems Ownership Maintain and evolve the internal AI Operating System. Lead More ❯