1 to 25 of 252 Remote Prompt Engineering Jobs in the UK

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 ❯

our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we … too!). It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data … can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services More ❯

our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we … too!). It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data … can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services More ❯

with business and product goals. Drive performance and cost optimisation for all AI systems. Document processes for a range of audiences Contribute to a collaborative, low-ego, high-performance engineering culture. About You Strong background in software engineering and production-grade systems. Expertise in Python (both backend and AI/ML use cases). Experience designing, building, and … deploying LLM-powered applications in production. Familiarity with transformer architectures and practical handling of LLM context, prompt chaining, and prompt engineering. Hands-on experience with MLOps tools like MLflow, Weights & Biases, and orchestration platforms like Kubeflow or Databricks. Deep understanding of cloud platforms (especially Azure and AWS), containers, microservices, and event-driven architecture. Strong problem-solving and debugging More ❯

with ML models to building robust, scalable software systems that integrate these intelligent features. This is an exciting opportunity to contribute to impactful projects at the intersection of software engineering and artificial intelligence, with the flexibility of short-term engagements. Key Responsibilities: • Design, develop, test, deploy, and maintain robust and scalable software applications and infrastructure. • Research, implement, and evaluate … machine learning models (including deep learning and potentially reinforcement learning) to address specific business challenges. • Work with Large Language Models (LLMs): fine-tuning, prompt engineering, developing Retrieval-Augmented Generation (RAG) systems, and integrating LLM capabilities into applications via APIs. • Process, clean, and analyze large datasets to prepare them for model training and evaluation. • Develop APIs and services to … requirements, design solutions, and deliver high-quality features. • Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management. • Write clean, maintainable, well-documented, and tested code following software engineering best practices (e.g., SOLID principles, CI/CD). • Stay current with the latest advancements in AI, ML, LLMs, and software engineering trends and technologies. • Troubleshoot and debug More ❯

design, develop, and maintain cutting-edge LLM-based agentic applications. This role requires hands-on expertise in frameworks such as LangChain or LangGraph (or comparable frameworks), and techniques including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning. In other words, you will be expected to ship deliverables yourself too. You will build solutions to meet functional requirements … analytics. Keep track of latest research: Given that this is a fast evolving field, it’s important to keep track of the latest advancements in fine-tuning, RLHF, and prompt engineering advancements such as DSPy. System Design & Architecture: Translate high-level product requirements into scalable, modular software designs that adhere to modern design principles, microservices architecture, and cloud 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 ❯

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 ❯

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 ❯

developrec Head of Global Delivery Centre | Tech Recruitment Partner @ developrec AI Engineer – Agentic Systems & Automation – £70,000 – Fully remote in UK A fast-growing company at the forefront of engineering innovation and AI automation is seeking an experienced AI Engineer to help develop intelligent, scalable agentic systems integrated into modern software development lifecycles. This role involves leading the design … and deployment of LLM-powered agents, developer tools, and automation frameworks that streamline workflows and elevate productivity. This is a hands-on engineering role that blends software development, AI experimentation, and product innovation. The successful candidate will play a key role in architecting agent-based systems, leveraging advanced frameworks such as LangChain and LlamaIndex, and deploying real-time AI … frameworks like LangChain, LangGraph, and LlamaIndex to enhance developer workflows. Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines. Prompt Engineering: Design, iterate More ❯

To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data To build AI models and … a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data … engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI team to collect, create, curate, and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms. Hands-on Involvement: Engage in data engineering tasks 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 ❯

new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Location: UK, Hook (Hybrid) Team: Software Engineering & Platforms Supervisor: IT Engineering Director Career Progression: Engineering, Architecture, Analyst Over the past 4 years Elanco IT has been on an incredibly exciting journey. Separating from our … opportunity to build a modern technology stack free of the burden of large-scale technical debt. We are now looking to take this one step further, leveraging newly established engineering capabilities to help Elanco deliver on customer needs faster than ever before. This role is part of our new enterprise platform engineering team with a specific focus on … implementations in Elanco. This is an incredibly exciting opportunity to not only work on cutting edge technology but to contribute to the continued growth of a new highly skilled engineering organization. To be successful in an engineering role in Elanco requires a highly motivated individual, with an innovative mindset and a willingness to drive tangible outcomes. The individual 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 ❯

of LLM-based applications. · Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. · Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. · Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment. · Understanding of enterprise More ❯

of LLM-based applications. • Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. • Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. • Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment. • Understanding of enterprise More ❯

or life sciences environment Deep understanding of the clinical trial lifecycle and operations (e.g., clinical operations, site monitoring). Strong technical fluency in AI/ML concepts, including, LLMs, prompt engineering, and agent orchestration Demonstrated ability to lead cross-functional teams and deliver products in regulated envioronments Excellend communication and stakeholder management skills Bonus Points: Advanced degree in More ❯

or life sciences environment Deep understanding of the clinical trial lifecycle and operations (e.g., clinical operations, site monitoring). Strong technical fluency in AI/ML concepts, including, LLMs, prompt engineering, and agent orchestration Demonstrated ability to lead cross-functional teams and deliver products in regulated envioronments Excellend communication and stakeholder management skills Bonus Points: Advanced degree in 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 ❯

full-time hybrid role, based in the Nottingham area, with regular in-office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong … Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI … orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 5+ years of software engineering experience, with strong ML or backend focus Proficiency in Python and/or TypeScript, and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

complex business questions using advanced data and analytics techniques. You’ll be technically proficient in the end-to-end AI and machine learning model development lifecycle, with experience of prompt engineering, and a keen interest in keeping up with the rapidly evolving industry trends. Your role will include working closely with business stakeholders to create hypotheses, design and … evaluate experiments and implement solutions that unlock significant business value in collaboration with teams such as Data Engineering, Machine Learning Operations (MLOps), Architecture, and Software Development. You’ll also proactively identify opportunities, providing the level of advanced analytics support needed for the problem and will provide technical thought leadership regarding the ethical, sustainable and scalable use of AI and … within an Agile framework. Technical Proficiency: You’ll be able to build models and AI Agents in tools such as Microsoft Azure, Data Bricks, Azure Open AI, and using prompt engineering. Collaborative Communication: You’ll possess strong collaboration and communication skills to ensure both technical and non-technical team members understand the cutting-edge solutions. What’s involved: You More ❯

a reality. This is a full-time hybrid role , based in the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong … Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI … orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp 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 ❯

and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced solutions Own critical platform components from conception through production deployment Who … You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and … Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at scale Experience in security, intelligence, or OSINT platforms preferred Track record of More ❯

and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced solutions Own critical platform components from conception through production deployment Who … You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and … Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at scale Experience in security, intelligence, or OSINT platforms preferred Track record of More ❯