151 to 175 of 461 Prompt Engineering Jobs in England

their AI integration roadmap — but the most impact comes from shipping real solutions into the heart of a customer’s enterprise. What We Value Engineering mindset focused on delivering production integration solutions with Agentforce and enterprise core systems Solving real supply chain and manufacturing problems, not theoretical architectures Ability … strong understanding of the Generative AI landscape Strong foundation in integration architecture principles — API-led connectivity, process orchestration, application lifecycle management, and security Strong engineering background. Preferred Qualifications Preferred fields include Computer Science, Software Engineering, MIS, Electrical Engineering, Data Science, or equivalent experience Proficiency in at least ...

Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical … Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people ...

client is a global credit ratings and risk analytics firm. Skills and Competencies 8+ years of experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native services Expert-level coding capability in modern programming languages such … quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from prototype to production, making practical engineering ...

confident this is the role for you, make sure to apply asap. Skills and Competencies 8+ years of experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native services Expert-level coding capability in modern programming … quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from prototype to production, making practical engineering ...

near-term AI/LLM priorities and use cases, translating business needs into a practical, deliverable plan of work. LLM Application Engineering Design, build and deploy LLM-based applications, including retrieval-augmented generation (RAG), document processing and copilot-style tools Build and maintain retrieval pipelines, integrating vector databases … quality, including for hallucination and relevance Document solution design, assumptions and limitations clearly for technical and non-technical audiences Process Improvement & Systems Establish good engineering practice for deploying and maintaining AI/LLM applications, including version control, testing and monitoring Champion best practice in AI engineering, code quality ...

enterprise AI leader or integration entrepreneur? We believe this is the best place — with the best colleagues — to build that future. What We Value Engineering mindset focused on delivering production integration solutions with Agentforce and enterprise core systems Solving real supply chain and manufacturing problems, not theoretical architectures Ability … strong understanding of the Generative AI landscape Strong foundation in integration architecture principles — API-led connectivity, process orchestration, application lifecycle management, and security Strong engineering background. Preferred fields include Computer Science, Software Engineering, MIS, Electrical Engineering, Data Science, or equivalent experience Proficiency in at least one coding ...

Product Manager to lead the charge in developing and launching transformative Generative AI capabilities for our Investor Services business. This is a unique, forward-engineering role where you will operate at the intersection of product, operations, and technology, working in small, agile teams to bring groundbreaking AI solutions from … conception to industrialization. You will not only define the "what" but drive and engage in the "how," leveraging your deep engineering and architectural background to drive cutting-edge prototypes into production within the Investor Services domain, ensuring seamless integration and optimization with existing enterprise platforms and adherence to policies ...

value-based decisioning logic — incorporating CLV and long-term customer value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data … #LI-EU SNGCR01 Required — Technical Skills Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning ...

ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments Lead end‐to‐end solution delivery, from discovery … Claude, Gemini or Mistral Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency ...

begin! Staff Software Engineer-AI (14866) 8+ years of experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native services Expert-level coding capability in modern programming languages such as Python, TypeScript, Go, or similar, with … quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from prototype to production, making practical engineering ...

solutions in a regulated financial environment. Discovery & Co-creation: Lead intensive discovery phases, collaborating closely with internal Investor Services clients, product, operations, and engineering teams to uncover needs, define use cases, and co-create rapid prototypes. Facilitate workshops and design sprints to refine concepts and gather feedback. Forward Engineering & Prototyping: Drive a forward-engineering mindset, constantly scanning the technology landscape for emerging Generative AI capabilities and tools. Experiment with new technologies, build proofs-of-concept, and rapidly iterate on prototypes to validate hypotheses relevant to Investor Services. Industrialize & Scale solutions: Oversee the end-to-end lifecycle ...

world's largest organisations manage assets, operations and critical services. This is an opportunity to work at the forefront of modern AI engineering, building intelligent products that combine Large Language Models (LLMs), agentic AI and cloud-native technologies to solve complex, real-world business challenges at enterprise scale. … system against what it measures. Build rapid prototypes and proofs of concept to validate emerging technology, product opportunities and customer scenarios. Establish the engineering practices these systems need: evaluation, testing, observability, monitoring, governance, security and operational excellence. Contribute to technical design, review other engineers’ work, and support colleagues coming ...

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 ...

integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing … agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem‐solving skills and ability to work independently and collaboratively. ...

integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing … agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem-solving skills and ability to work independently and collaboratively. ...

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 ...

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 ...

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 ...