126 to 150 of 377 Prompt Engineering Jobs in England

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 ...

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 ...

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 ...

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. ...

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 ...

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. ...

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 ...