1 to 25 of 120 Prompt Engineering Jobs in England

record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability 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 ❯

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 ❯

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 ❯

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 ❯

/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 skills—able to explain complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers More ❯

core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build … and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving … inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills Formal training or certification (MS and/or PhD) in Computer Science, Machine Learning, or a related field, with applied machine learning concepts experience. More ❯

etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service The Role: Senior AI Engineer Overview of role AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support 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 Product Owner and other team members to create, curate, and maintain high-quality AI assets. Ensure alignment of data architecture and data models across different products and platforms. Hands-on Involvement … Engage in data engineering tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques to support the construction of state-of-the-art AI models. Stay up-to-date with new technologies and best practices in data engineering, advancements in generative 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 ❯

problems on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, with a focus on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and using Docker for containerization. Knowledge of Databricks. Communicating effectively within cross-functional teams and 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 ❯

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 ❯

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 ❯

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 ❯

teams to deliver cutting-edge AI capabilities that power our products. This is a hands-on role requiring expertise in rapid prototyping, production optimisation, and collaboration with product and engineering teams. In this role, you will: Drive AI strategy and execution within a dynamic environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer … and frameworks to maintain a leading edge. Support and mentor junior engineers as the team grows. Key Responsibilities Implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with … building and deploying deep learning models (e.g., CNNs, Transformers, graph neural networks). Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face). Solid software engineering background: data structures, algorithms, distributed systems, and version control (Git). Knowledge of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect), and streaming frameworks (Spark, Kafka 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 ❯

graph-based AI to solve business challenges. You will interact with customer stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful customer outcomes. Solution Engineering: You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and … in designing and developing enterprise-class applications, demonstrating a strong understanding of software development lifecycle principles. LLM Proficiency : 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI's GPT and O … including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management 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 ❯

Job Overview: Arm's Productivity Engineering (PE) team is looking for a forward-thinking Staff AI/ML Engineer to help design, develop and scale up production-grade applications powered by large language models (LLMs). This role focuses on hands-on technical innovation, with a strong emphasis on building scalable and impactful AI systems for real-world engineering … you thrive on building systems that push the boundaries of what's possible with LLMs and you want to be part of a team that's redefining the way engineering is done, we'd love to hear from you! About the Team The PE AI & Engineering Excellence team is Arm's engine for AI-driven productivity. Our mission … is to enhance engineering efficiency through automation, intelligence, and innovation. We work across a broad range of problems in Arm across hardware and software, and we drive engineering excellence and efficiency through the deployment of AI into existing workflows. Responsibilities: Build AI applications that integrate LLM capabilities into engineering workflows, from interactive agents to intelligent automation tools. 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 ❯