151 to 175 of 377 Prompt Engineering Jobs in England

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 ...

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 ...

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 ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software … Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. As a Principal Software Engineer at JPMorganChase within CDAO ...

probability, and statistics. Deep knowledge in a range of machine learning techniques (Supervised and unsupervised). Understanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation. Strong communication and data presentation skills with the ability to build convincing recommendations and sell these … Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding). Experience developing Generative AI projects. Experience of exercising software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection. Experience in using cloud environment (e.g. Azure, AWS). Experience using Azure Databricks ...

Prompt Engineer (Claude/Claude Code) - Mortgage Sales £695 per day Outside IR35 Ideally London 1 day per week/Can be fully remote A leading UK mortgage technology provider is looking for a Prompt Engineer with strong Claude and Claude Code experience to support the development … making sure the requirements, prompts and AI outputs are right. What you'll need: Strong hands-on experience with Claude and Claude Code Prompt engineering experience, including prompt design and optimisation Excellent requirements gathering and stakeholder engagement skills The ability to understand business processes and translate them ...

support our clients transition to a sustainable future. Role Summary This is an exciting opportunity to join the expanding AI & Innovation team within Architecture & Engineering function at a key stage in SMBC EMEA's AI journey. The team plays a central role in shaping and delivering AI strategy, governance … control alignment and production readiness activities. Ensure all solutions align with AI Policy, AI Standard, security, data privacy and regulatory requirements Work closely with engineering and delivery teams to ensure solution designs are effectively implemented and meet intended outcomes. Provide hands-on support in prototyping, validation and troubleshooting where ...

systems integrating multi-modal LLMs (text, image, audio, video), design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG, optimise and deploy large language and multi-modal models with a focus on performance and latency and build scalable MLOps pipelines … applications to support robust, production-grade AI deployments. Using a consultative approach you'll guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption. About you: You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines ...

tooling, or extending platform logic. Collaborate closely with cross‐functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. … broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master’s degree or Phd in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer‐facing or field roles. Proven success building and deploying AI/ML or data‐intensive applications in production. Deep ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning … Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers, data scientists ...

them, and become the technical voice Yuno trusts on how to build AI agents responsibly at scale. Skills You Need Minimum Qualifications Extensive software engineering experience, with a track record building and shipping production LLM or AI‐agent systems. Deep expertise in agentic systems — multi‐step agents, tool … orchestration, memory, and retrieval‐augmented generation (RAG). Strong LLM application skills — prompt engineering, evaluation, and guardrails for reliable, safe outputs. Strong Python for AI/ML, plus solid backend engineering (Go and/or Kotlin) to productionize systems at scale. Model serving and LLM inference, with ...

will design, build and ship agentic AI applications on Microsoft Azure for clients in regulated and high-governance sectors. This is a hands-on engineering role in a product-aligned team: you will take a solution from first design through to live production, and then keep it running.We work … loop approval on every outbound decision.A document-intelligence pipeline for a utilities client that extracts structured data from tens of thousands of scanned engineering records, with automated groundedness and accuracy evaluation gating each release.An internal developer platform capability that lets a retail client's own engineers deploy evaluated, guardrailed ...

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 … 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 ...

task at hand whilst considering cost implications and timelines. If you have a curiosity and passion for AI, whilst a firm grounding in software engineering principles enabling you to build industry leading products, we'd love to hear from you! Proficiency in at least one programming language. I.e Python … APIs etc) Experience in building and optimising systems for performance, scalability, and reliability Understanding of ML fundamentals (training, evaluation, deployment) and LLM‐specific challenges (prompt engineering, latency, cost optimisation, hallucinations, evaluation) Experience with cloud platforms (AWS, GCP, Azure) and infrastructure‐as‐code (Terraform etc). Hands‐on with ...

Development team, you will help develop and deploy AI-powered solutions, including AI agents, copilots, and decision-support tools, that solve real manufacturing and engineering challenges. You will collaborate with engineers, manufacturing specialists, and technology experts to explore how AI can improve productivity, decision-making, and operational performance. This … copilots, and intelligent automation solutions. Build AI applications using LLMs, APIs, and enterprise data sources. Prototype and evaluate new AI technologies for manufacturing and engineering use cases. Collaborate with engineering, operations, and IT teams to solve business challenges. Support the deployment and adoption of AI and digital transformation ...

Financial Services Tax practice, helping banks, insurers and asset managers reinvent how their tax and finance functions operate. We combine data engineering, intelligent automation and artificial intelligence – from AI-ready data foundations to generative and agentic AI – to transform tax compliance, reporting and advisory. As a Senior Manager … datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and using Docker for containerization. Knowledge of Databricks. Excellent communication ...