176 to 200 of 450 Prompt Engineering Jobs in the UK

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 ...

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 ...

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 ...

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 ...

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 ...

Description We are looking for Prompt Designer develops and optimizes AI prompts to deliver accurate, consistent, and safe outputs from Large Language Models (LLMs). This role collaborates with Product, Engineering, and UX teams to design AI interactions, improve prompt performance through testing and evaluation, establish PromptOps … ensure compliance with governance, security, and quality standards. Key Responsibilities Design, develop, and maintain prompts, templates, and output formats for AI applications. Optimize prompt performance through testing, experimentation, and refinement. Define evaluation criteria, quality standards, and success metrics for AI outputs. Monitor and improve accuracy, consistency, safety, latency ...

Description We are looking for Prompt Designer develops and optimizes AI prompts to deliver accurate, consistent, and safe outputs from Large Language Models (LLMs). This role collaborates with Product, Engineering, and UX teams to design AI interactions, improve prompt performance through testing and evaluation, establish PromptOps … ensure compliance with governance, security, and quality standards. Key Responsibilities Design, develop, and maintain prompts, templates, and output formats for AI applications. Optimize prompt performance through testing, experimentation, and refinement. Define evaluation criteria, quality standards, and success metrics for AI outputs. Monitor and improve accuracy, consistency, safety, latency ...

innovation with practical delivery, ensuring data and AI become genuine differentiators across products, services and internal operations. Work closely with the executive team, Product, Engineering, Architecture and Security, to drive the AI roadmap, priorities and delivery outcomes. Key Responsibilities: Define and deliver the Data & AI strategy, roadmap and technical … scale successful solutions into production. Own the data platform strategy, ensuring well-governed data underpins AI and analytics initiatives. Establish robust MLOps and engineering practices covering deployment, monitoring, experimentation and governance. Champion practical AI adoption across Product and Engineering to improve ways of working. Build, lead and develop ...

Groups. Continuously improve and evolve AI and data solutions based on business outcomes and user feedback. Essential Skills & Experience Strong commercial experience in AI Engineering and/or Data Engineering. Hands-on experience building AI agents and agentic workflows. Strong knowledge of prompt engineering and RAG. Strong … with workflow automation and AI-powered business solutions. Understanding of DevOps, testing and monitoring for production AI/data solutions. Strong understanding of data engineering principles and scalable solution design. Ability to work with business stakeholders and translate requirements into technical solutions. Desirable Skills & Experience Experience within financial services ...

Moonfire seeks a Senior Prompt Engineer to lead design, optimization, and scaling of prompting strategies for large language models. You’ll partner with engineering to embed prompts in apps, agents, and RAG pipelines, driving performance and safety. The role demands 5+ years in software engineering with 2+ … years in production prompt engineering, expert Python/Java, and hands-on use of LangChain, LangSmith, and OpenAI Evals. Hybrid UK-based position with equity. #J-18808-Ljbffr ...

systems in production. This is an AI Engineer role for someone with a real curiosity for AI and a firm grounding in software engineering, who wants their work shipping to real users rather than sitting in a proof of concept. You'll sit in a cross-functional team alongside … Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlowStrong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost optimisationExperience with cloud platforms (AWS, GCP or Azure) and infrastructure-as-code such as TerraformHands-on with DevOps practices ...