1 to 25 of 58 Prompt Engineering Jobs in London

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 ❯

developing and integrating cutting-edge AI solutions-including LLMs and AI agents -into our products and operations at a leading SaaS company. You'll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management. This is a highly collaborative and fast-moving environment where your contributions will … or in collaboration with other specialists. Optimize model pipelines for latency, scalability, and cost-efficiency , and support real-time and batch inference needs. Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents , and evaluate their practical applicability. … Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of experience in machine learning engineering, applied AI, or related fields. Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering , or a related technical discipline. Strong foundation in machine learning and data science fundamentals -including supervised/ More ❯

services . Here's how you'll contribute: You'll do this by: Lead the architecture, design, and development of large-scale, distributed systems. Work closely with product and engineering teams to define architecture blueprints and technology roadmaps. Develop high-level and low-level design documents. Be hands-on with coding in Java (latest versions) and guide teams on … Select appropriate AWS services and design cloud-native architectures with cost, scalability, and security in mind. Conduct design and code reviews to ensure quality and performance. Mentor and guide engineering teams on architectural decisions and technical challenges. Stay updated with new Java features, AWS services, and emerging architectural trends. Core Skills: Required Skills & Qualifications ~15 years of software development … enterprise applications to enhance user experience, decision-making, and automation. Exposure to modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search) to support semantic More ❯

services . Here's how you'll contribute: You'll do this by: Lead the architecture, design, and development of large-scale, distributed systems. Work closely with product and engineering teams to define architecture blueprints and technology roadmaps. Develop high-level and low-level design documents. Be hands-on with coding in Java (latest versions) and guide teams on … Select appropriate AWS services and design cloud-native architectures with cost, scalability, and security in mind. Conduct design and code reviews to ensure quality and performance. Mentor and guide engineering teams on architectural decisions and technical challenges. Stay updated with new Java features, AWS services, and emerging architectural trends. Core Skills: Required Skills & Qualifications ~15 years of software development … enterprise applications to enhance user experience, decision-making, and automation. Exposure to modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search) to support semantic 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 ❯

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 ❯

AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. • Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. … classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. • Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user-facing features powered by AI. • Document system architectures and decision rationale early and clearly, enabling … wide Slack channels, Show and Tell presentations and technical deep-dives. What experience you'll need to be successful • A master's degree or above in Computer Science, Electrical Engineering or a related field. • 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. 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 ❯

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 ❯

client challenges Work closely with data engineers and MLOps professionals to deliver production-ready systems Apply techniques such as large language models (LLMs), retrieval-augmented generation (RAG), vector databases, prompt engineering, and model fine-tuning Engage with client stakeholders to understand requirements and define appropriate technical solutions Contribute to project scoping, delivery, and reporting, ensuring outcomes align with More ❯

client challenges Work closely with data engineers and MLOps professionals to deliver production-ready systems Apply techniques such as large language models (LLMs), retrieval-augmented generation (RAG), vector databases, prompt engineering, and model fine-tuning Engage with client stakeholders to understand requirements and define appropriate technical solutions Contribute to project scoping, delivery, and reporting, ensuring outcomes align with 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 ❯

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 ❯

with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features. Community Contributes to standards, patterns, and best practices that improve the engineering community. Provides perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements. Minimum Requirements Ability to drive velocity in … Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) or Back-end technologies like Java, Typescript More ❯

founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We 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 ❯

and OpenAI function-calling Integrating live data (e.g., sports data, betting odds) 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 ❯

and OpenAI function-calling Integrating live data (e.g., sports data, betting odds) 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 ❯

freedom to innovate and the support of a collaborative and expanding team, you'll have the chance to create something impactful from the ground up. Main Responsibilities Collaborate with engineering and MLOps teams to develop scalable, robust, and production-ready solutions Design and deliver data science and GenAI solutions that drive tangible value for clients Act as a trusted … building, deploying, and maintaining production-grade models Strong communication skills with the ability to engage a wide range of stakeholders Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning Familiarity with cloud platforms (especially Azure), and tools such as Databricks, Hugging Face, LangChain, and open-source GenAI frameworks Deep curiosity and a More ❯

freedom to innovate and the support of a collaborative and expanding team, you'll have the chance to create something impactful from the ground up. Main Responsibilities Collaborate with engineering and MLOps teams to develop scalable, robust, and production-ready solutions Design and deliver data science and GenAI solutions that drive tangible value for clients Act as a trusted … building, deploying, and maintaining production-grade models Strong communication skills with the ability to engage a wide range of stakeholders Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning Familiarity with cloud platforms (especially Azure), and tools such as Databricks, Hugging Face, LangChain, and open-source GenAI frameworks Deep curiosity and a 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 ❯

Define and document the testing strategy for GPT-based applications, covering functional, non-functional, and ethical dimensions. Develop test plans, cases, and data focused on LLM-specific behaviors like prompt engineering, hallucination detection, and response consistency. Lead the end-to-end QA lifecycle for GenAI features, from requirements to post-deployment monitoring. Establish quality gates and acceptance criteria … for LLM outputs, ensuring accuracy, safety, and fairness. Identify and implement AI-specific testing tools (e.g., prompt testing, adversarial testing). Integrate testing into CI/CD pipelines in collaboration with MLOps and DevOps teams. Ensure compliance with AI governance, data privacy, and responsible AI standards. Validate API integrations, including authentication, rate limits, and error handling. Your Profile Proven … experience as a Test Lead, preferably in GenAI or LLM-based applications. Strong understanding of LLMs, prompt engineering, and generative AI workflows. Skilled in test automation using tools like Python, PyTest, Postman, and LangChain testing utilities. Familiarity with OpenAI APIs, model fine-tuning, and evaluation techniques. Knowledge of AI ethics, bias detection, and responsible AI practices. Experience in More ❯