176 to 200 of 465 Prompt Engineering Jobs in the UK

backed – to help our users know their body better. The job We are looking for a Senior AI Engineer with strong LLM and product engineering experience to join our AI Platform team and help ship the AI-driven features across our app — including personalized in-app content recommendations, conversational … actual response latency through streaming, pregeneration, and inference-time tradeoffs, working closely with product and design on how AI output is experienced by users Prompt and model behavior: iterate on prompt design and calibration, use fine-tuned health-domain models (Llama, Gemma, MedGemma) where relevant, and work with ...

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 … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with ...

motivated, and passionate. Independent, insistent, and open‐minded. Great team player, dependable and autonomous. Data‐driven decision maker. Requirements 8+ years of professional software engineering experience, with a strong background in Python, TypeScript, C++, or C#. Proven experience building complex AI systems, with hands‐on expertise in Retrieval‐Augmented … Agent architectures. Deep, hands‐on experience with LLM APIs and/or fine‐tuning and serving open‐source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. Excellent problem‐solving skills and the ability to work on complex, ambiguous projects, delivering ...

GCP. Understand how AI can be embedded into business processes, customer journeys and decision-making, working collaboratively with business, product, design and engineering teams to deliver practical solutions. Support deployment, adoption and change by translating complex technical concepts into clear recommendations and practical experiences for business users, while contributing … ability to apply technology to practical challenges. Data & AI Transformation Experience: Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry. Ability to translate business challenges and user needs into practical data and AI solutions. Experience working in Agile or iterative delivery teams, with ...

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 ...

Todayjob requisition id: R-018193**Main purpose**Trafigura is recruiting a hands-on Forward Deployment Engineer (FDE) to sit at the intersection of product engineering and business outcomes within an assigned business domain. The FDE embeds directly with business stakeholders, leads technical deployments end-to-end, builds bespoke integrations … Shipper) so that builders and engineers can ship safely and quickly.* Use AI tooling to automate diagnostics, pre-analyse domain data, and reduce manual engineering lift across development, test and production environments.**Governance, Security and Controls*** Integrate engagement-layer applications with Azure Entra ID for single sign-on (OIDC ...

Join a team where your engineering decisions matter at scale. At JPMorganChase, we build production-grade software that powers critical Global Banking businesses — and we're looking for engineers who take ownership, raise the bar, and grow fast. You'll work in a culture of strong code reviews, fast … strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilitiesLead delivery of complex features and services by shaping solution options, driving design decisions ...

dust this is the role you've been holding out for. You'll join a highly regarded transformation consultancy where strategy, science, creativity and engineering meet, working with major public and private sector clients on Generative and Agentic AI solutions that deliver visible, real-world impact. … production-grade deployments. Proven delivery of solutions using traditional Machine Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments. Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash. Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN ...

Lead AI Engineer (Senior/Principal Consultant)Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentEmpower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The RoleWe're looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery … Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes ...

# Salesforce AI EngineerBirmingham, Bristol, Cardiff Capital Tower, London, Manchester, WokingApply for this job* Permanent* Experienced Professionals* Software Engineering* ID 520087-en\_GB## **About the job you're considering**As a Salesforce AI Engineer, you'll design, build and ship AI features on the Salesforce platform for some … time hands-on, building autonomous agents, connecting large language models to enterprise data, and getting AI systems running reliably in production. This is an engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model ...

management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities AI Engineering & Platform Development Design and develop shared AI platform capabilities used across Global Markets. Build scalable infrastructure for machine learning and generative AI workloads. Define … Establish standards for model deployment, versioning, evaluation, monitoring and observability. Improve reproducibility, governance and operational resilience of AI systems. Define processes and tooling for prompt management, agent evaluation and model performance tracking. Build automation that improves the speed and quality of AI development and deployment. Cloud & Infrastructure Design cloud ...

Join a team where your engineering decisions matter at scale. At JPMorganChase, we build production-grade software that powers critical Global Banking businesses — and we're looking for engineers who take ownership, raise the bar, and grow fast. You'll work in a culture of strong code reviews, fast … strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilities Lead delivery of complex features and services by shaping solution options, driving design ...

move the needle on revenue, cost, productivity or decision-making, articulate that value clearly to senior stakeholders, guide proof-of-concepts and work with engineering teams to turn ideas into scalable solutions. This is not a research-only AI role. It is focused on applied AI, client impact … concepts, prototypes, demos and reusable accelerators. Define clear success criteria for AI POCs and ensure delivery is focused on measurable outcomes. Work with engineering, data science and analytics teams to build working solutions. Help move AI ideas from experimentation into practical delivery. Own the quality of AI deliverables, actively ...

Analytics Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of security data products. You will lead technical decisions and be responsible for a team of analytics engineers to ensure the delivery of high-quality data products needed … security teams operations, analytics, machine learning and Gen AI applications. The Analytics Engineering team plays a direct role in the success of the Cyber Data Intelligence team and is a key driver in promoting a data-centric culture within the security function. You will also help shape ...

role requires experience designing, developing, and delivering AI solutions for large-scale organisations. We are seeking a hands-on technical leader with strong AI engineering capabilities to lead proof-of-concept development and production implementation while providing technical leadership across the delivery lifecycle. Responsibilities Lead the design, development, testing … leadership, mentoring, code reviews, and guidance to development teams. Assess technical feasibility, integration requirements, data readiness, and solution constraints when defining AI solutions. Apply engineering best practices for AI deployment, monitoring, optimisation, security, and lifecycle management. Ensure AI solutions comply with architecture, security, DevSecOps, Responsible AI, and regulatory standards. ...

role requires experience designing, developing, and delivering AI solutions for large-scale organisations. We are seeking a hands-on technical leader with strong AI engineering capabilities to lead proof-of-concept development and production implementation while providing technical leadership across the delivery lifecycle. Responsibilities Lead the design, development, testing … leadership, mentoring, code reviews, and guidance to development teams. Assess technical feasibility, integration requirements, data readiness, and solution constraints when defining AI solutions. Apply engineering best practices for AI deployment, monitoring, optimisation, security, and lifecycle management. Ensure AI solutions comply with architecture, security, DevSecOps, Responsible AI, and regulatory standards. ...

role requires experience designing, developing, and delivering AI solutions for large-scale organisations. We are seeking a hands-on technical leader with strong AI engineering capabilities to lead proof-of-concept development and production implementation while providing technical leadership across the delivery lifecycle. Responsibilities Lead the design, development, testing … leadership, mentoring, code reviews, and guidance to development teams. Assess technical feasibility, integration requirements, data readiness, and solution constraints when defining AI solutions. Apply engineering best practices for AI deployment, monitoring, optimisation, security, and lifecycle management. Ensure AI solutions comply with architecture, security, DevSecOps, Responsible AI, and regulatory standards. ...

crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real‐time data grounding systems, perform prompt engineering, manage multi‐agent communication protocols, and deploy automated supply chain and back‐office workflows into production from day one. What … Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI‐Assisted Engineering: Leverage modern AI tools (Cursor, Claude, Vibes) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days ...

crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one. What … Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days ...

Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What … agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute ...

date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within … recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt ...

platform that powers the answer: you lead discovery, design the approach, write the code, and own it in production. This is a hands‐on engineering role for someone who is as comfortable in a working session with a business team as they are building a retrieval pipeline or hardening … systems rather than demos. Architect and implement end‐to‐end retrieval‐augmented generation pipelines, including parsing, ingestion, chunking strategy, embeddings, vector storage, retrieval, and prompt management. Build agents and agentic workflows that plan and execute multi‐step tasks within explicit, auditable boundaries, with guardrails that keep behavior safe ...

role, with the opportunity to create new systems and capabilities that will accelerate our business. The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this … role, you will collaborate closely with engineering teams across our group to develop priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays ...

function. Working alongside senior technical leaders, you will help build production-grade AI agents and applied systems while developing foundational expertise in enterprise AI engineering at one of the UK's largest insurers. Technology and AI are central to Aviva's strategy. Today, we serve over 25 million customers … love to hear from you. A bit about the job: You will contribute directly to the delivery velocity of our Applied AI Engineering team, building well-tested, high-quality code for multi-agent systems, context engineering and AI evaluation under the close guidance of lead engineers. You will ...

architectures, and tool-use capabilities. Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures. Collaborating closely with product and engineering teams to embed AI into real-world business processes. Contributing to the architecture and evolution of a proprietary AI platform in a truly greenfield … technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge ...