101 to 125 of 223 Prompt Engineering Jobs in the UK

support AI applications Build scalable data pipelines for AI model training and inference Fine-tune, evaluate and optimise machine learning models Collaborate with software engineering teams to integrate AI capabilities into existing products Monitor model performance and implement continuous improvement processes Ensure AI solutions are secure, scalable and compliant … Language Models (LLMs) Knowledge of Generative AI technologies RAG (Retrieval Augmented Generation) implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data ...

Data Financial Services practice, focused on delivering large-scale AI transformation across Banking. This role sits at the forefront of enterprise AI engineering, architecture, and delivery leadership , helping major financial institutions design, build, and operate scalable AI systems that modernise core business processes. You will operate across the full … team development . Key Responsibilities Translate senior stakeholder vision into AI transformation strategies, architecture, and delivery roadmaps Lead and oversee multi-disciplinary AI engineering teams and workstreams Design and deliver enterprise-scale AI systems, including agentic and GenAI solutions Collaborate with architects, data scientists, DevOps, and business stakeholders ...

Overview We are seeking an AI Engineering Lead to sit at the top of our client’s delivery structure. This role bridges strategic leadership and hands‐on delivery, providing day‐to‐day technical direction to a team of consultants and ensuring high‐quality outcomes across multiple client environments. … operationalisation. Act as the senior technical authority for clients, translating complex concepts into clear defined strategies for senior non‐technical stakeholders. Own solution quality: engineering standards, code reviews, model governance, security, and delivery assurance. Provide technical leadership and coaching; build progression frameworks and mentoring for consultants. Drive pre‐sales ...

into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering ...

DevOps Lead - AI-Enabled Software Engineering Location: Reading (Hybrid) Permanent We are seeking an experienced and hands-on DevOps Lead to join a leading digital infrastructure organisation undergoing significant technology transformation. This is a unique opportunity to lead a high-performing software engineering team while driving the adoption … assisted development practices across the software delivery lifecycle. As DevOps Lead, you will be responsible for setting the technical direction, owning the engineering roadmap, and ensuring the successful delivery and ongoing support of bespoke cloud-based applications. You will combine strong leadership capabilities with hands-on software development experience ...

join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ … maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What You’ll Do LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain ...

Principal, AI/ML Engineer leads the design, delivery and continuous improvement of AI and ML solutions within their area of responsibility, aligning engineering activities to the Bank’s broader AI strategy and long-term objectives. The role combines strong technical leadership with a clear focus on delivery outcomes … operates with a clear understanding of the wider technology landscape, contributing to strategic direction while taking accountability for translating this into practical, high-quality engineering outcomes across squads. Leads the definition and execution of AI/ML engineering direction across one or more squads, ensuring alignment with ...

Technical Lead – Java (AI Enabled) Engineering · UK About Xceedance Xceedance is a global provider of strategic consulting, managed services, and technology solutions to the insurance industry. We help insurers, reinsurers, brokers, and MGAs modernize operations, enhance underwriting and claims capabilities, and accelerate digital transformation using data, analytics, and advanced … accomplished Technical Lead with deep Java expertise and demonstrated experience integrating AI/ML capabilities into production systems. This role combines hands-on engineering with technical leadership — you will own the architecture and delivery of cloud-native microservices on our BPA (Beyond Policy Administration) platform, lead a team ...

define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers … assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering ...

technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes … production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs ...

technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 10+ years in software engineering, with hands‐on AI system design, build or integration, and a track record of taking AI prototypes … production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs ...

unique is welcome; join us and let’s build what’s next - together! Team Description As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director of Engineering. This team is accountable for Performance test automation, configuration, and verification delivering repeatable performance comparison testing … diagnosis across a range of ADO operations at enterprise scale, enabling high‐performance AI‐driven workloads, and acting as a technical bridge between engineering and architecture. Your Impact Build, mentor, and scale a high‐performing engineering team based on actual demand and delivery needs Provide hands‐on coaching ...

through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job Responsibilities Lead the deployment and scaling … accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring ...

through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling … accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring ...

through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling … accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring ...

driving a multi-year transformation from legacy on-premise systems to a cloud-native, AI-first composable SaaS platform. Lead platform architecture, large engineering teams (150–300+), generative AI integration, client-facing technology engagements, and technical M&A decisions. Job Description Role SymphonyAI is hiring an SVP of Engineering … architecture and embed AI/ML and generative AI across the product suite. The role is based in EMEA (Paris headquarters) and includes global engineering leadership and client-facing responsibilities. Key Responsibilities Define and own the multi-year roadmap for Systems of Execution (WMS, TMS, OMS) and Systems ...

technology products across Mercer businesses. You will be the hands-on Tech Lead for a small UK-based team working closely with an India engineering pod, owning technical direction, delivery, and day-to-day engineering leadership. The role requires strong domain partnership (risk advisory/consulting stakeholders) alongside … pragmatic software engineering and architecture judgment. We will count on you to: Lead end-to-end delivery of CAT products (e.g., Concierge an agentic AI workflow tool, Prism a Mercer knowledge fabric for scheme data, and similar initiatives), from problem framing and design through build, release, and support. Translate ...

Operating Office business function and its enterprise‐wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re‐engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage … support, and continuous improvement**Collaborate daily with global and regional technology and business teams** to deliver against regulatory, risk, and transformation priorities**Apply agile engineering practices**, leveraging iterative delivery, pragmatic architectural decisions, and emerging Gen AI/agentic tooling to accelerate outcomes**Provide technical leadership and mentorship** through hands ...

operable after the squad moves on. Keep abreast of new technology developments. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents or agentic workflows). … Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI/LLMs: Building RAG pipelines ...

Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. Contract Senior AI Engineer/… Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. You'll work ...

document-centric business challenges. You will design, build and deploy production-ready AI solutions across the Microsoft Azure ecosystem. This is a hands-on engineering role focused on taking LLM-powered applications from experimentation into scalable, secure and reliable production environments. We're particularly interested in engineers who have … business stakeholders to deliver enterprise AI solutions Contribute to AI products across document intelligence, knowledge search, workflow automation and AI assistants Help shape engineering standards, Responsible AI practices and cloud governance across the AI platform Key Requirements Commercial experience building and deploying LLM-powered applications into production Strong hands ...

Build AI-enabled platforms and intelligent workflows - Work with LLMs, RAG pipelines and embedding models - Develop scalable backend services and AI integrations - Collaborate across engineering, architecture and business teams - Support AI deployment, governance and operational rollout Tech environment: Python/SQL · LLMs (prompt engineering, fine-tuning … FastAPI/APIs · AWS/Azure/GCP/Databricks · CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure to cloud and modern data platforms - Financial Services or regulated industry experience (essential) - Strong communication ...

build and ship production-grade GenAI and agentic automation solutions as part of BNY's centralized AI Transformation Office. This is not a traditional engineering role - we are not looking for engineers who use AI tools occasionally. We need engineers who have fundamentally changed how they work: using tools … throughout - not just for coding, but across the entire workflow including design, testing, and documentation Build and contribute to AI-forward architecture standards - including prompt engineering patterns, agentic workflow design, and LLM integration guidelines Work with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver ...

modern data platform and contribute to emerging AI-driven initiatives. This role offers the opportunity to work at the intersection of data engineering, business intelligence, and AI, helping to shape both current analytics capabilities and future data solutions. Key Responsibilities Design, build, and optimise data pipelines and platform components … Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly ...

ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data … data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Purpose of Onyx Onyx Product Management ...