101 to 125 of 187 Prompt Engineering Jobs in England

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 ...

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 ...

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 ...

London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms … large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What ...

London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms … large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What ...

will directly support clinical and operational decision-making. This is a highly impactful role where youll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. Youll be joining a forward-thinking … engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What youll be doing Youll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. Youll work closely with product ...

integrations across internal systems, APIs, and cloud environments. * Develop proof-of-concepts and rapidly iterate solutions, balancing innovation with business priorities and timelines. * Implement prompt engineering, model evaluation, testing, and monitoring frameworks to ensure reliable and high-quality outputs. * Work with structured and unstructured datasets to support ...

here isn't a bolt-on. It's the core of the product, already live with real users, with the evaluation frameworks and engineering squads already built. You'll own a product area within a core product squad, embedded with an Engineering Lead, a Product Designer … stakeholders. What you'll bring 5+ years in product, 2+ shipping GenAI, ML or agentic products to production. Real working knowledge of RAG, embeddings, prompt engineering and LLM evaluation. This is the bar, not passing familiarity. Enough Python and SQL to inspect model outputs yourself. Evidence-led decisions ...

embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph ...

/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning ...

/or Snowflake . Experience with CI/CD and version control tools (Git, TeamCity or similar). Understanding of AI governance, prompt engineering, and LLM frameworks. Desirable Experience supporting business-critical financial applications. Knowledge of trading, securities, or capital markets. What We're Looking For Excellent communication ...

agentic systems comply with AI ethics principles, data regulations, and BFT's governance frameworks. Role Requirements Technical Requisites Interest in large language models (LLMs), prompt engineering, and AI agent architectures. Interest in agentic or multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAI Assistants, or equivalent). Proficiency ...

data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering role with genuine ownership. You'll be involved throughout the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation and governance. … working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns. You'll need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine ...

seeking an AI Engineering Manager to build and lead a new AI team within a product‐led software development environment. You will shape strategy and execution for AI‐powered features and internal AI capabilities, ensuring measurable customer outcomes, high‐quality delivery, and scalable engineering practices. Location & Package Location … through ambiguity and rapid change, making pragmatic decisions and removing blockers. Measure success by customer outcomes, not just features shipped. Experience Required Experience leading engineering teams that build and scale end‐to‐end production systems. People leadership rooted in a software engineering background, with strong experience implementing ...

Office-based Working Hours: 40 hours per week (Full-time) Are you looking to drive AI-first transformation and redefine the future of software engineering? We have an exciting opportunity for you - AI Architect ! Careers at TCS: It Means More TCS is a purpose-led transformation company, built … matters through challenging projects that demand innovation, collaboration, and thought leadership. Play a strategic role in transforming business and technology delivery through AI-first engineering practices. Shape the adoption of AI across software development, IT service delivery, and business transformation programmes. Lead innovation initiatives that drive measurable improvements ...

/Artifacts or related ecosystems. Familiarity with APIs, scripting or languages such as Python to prototype or integrate AI solutions. Awareness of agent orchestration, prompt engineering, RAG and AI evaluation techniques. Experience delivering AI capability-building or upskilling programmes , particularly in the public sector. This … traditional software engineering role - it sits at the intersection of strategy, transformation and hands-on AI build . It would particularly suit someone who enjoys working with stakeholders, shaping direction, and still getting close enough to the technology to make things actually work in practice. ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi‐modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem-solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills - able to explain technical concepts to non-technical stakeholders. … Desirable: Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive ...

such as AI generated reporting, commercial intelligence, and internal knowledge agents Integrate AI solutions into existing platforms and systems Contribute to Azure based data engineering, including pipelines and data modelling Work across multiple projects, shaping delivery and prioritising impact Collaborate closely with business stakeholders to scope and deliver solutions … Your Skills and Experience Strong commercial experience building production AI applications in a cloud environment Hands on expertise with LLMs, prompt engineering, and agent based workflows Data engineering capability, including ETL processes, orchestration, and working with large datasets Ability to design and deploy scalable, reliable systems Experience ...