101 to 125 of 341 Prompt Engineering Jobs in London

greenfield opportunities as fuel rather than fear—whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production reality, or a seasoned practitioner who recognizes that this moment demands courage over caution. If you're motivated … someone who wants to remain deeply hands-on while operating at a senior level. You will contribute technical expertise, influence decision-making through strong engineering judgment, and partner closely with engineering leaders, product teams, and fellow engineers to deliver innovative AI solutions at scale. This is a senior ...

greenfield opportunities as fuel rather than fear—whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production reality, or a seasoned practitioner who recognizes that this moment demands courage over caution. If you're motivated … someone who wants to remain deeply hands-on while operating at a senior level. You will contribute technical expertise, influence decision-making through strong engineering judgment, and partner closely with engineering leaders, product teams, and fellow engineers to deliver innovative AI solutions at scale. This is a senior ...

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. … Purple. Join IFS.Job DescriptionWe're looking for experienced software engineers who combine strong Domain-Driven Design and event-driven architecture with modern AI-native engineering practices. You'll analyse complex enterprise problems using DDD, design event-driven solutions, use specification-driven AI workflows throughout software development, and build production ...

mission, values, and purpose align with your own, we would love to hear from you! Your opportunity This is a hands‐on security engineering role for people who are deep in cybersecurity and serious about AI. You will secure the AI systems we are building — AI‐enabled applications, models … Head of AI, and AI Technology builds and runs it. This role sits in Information Security and reports to the Head of Security Engineering, while your day‐to‐day work is directed by AI Technology and prioritised against their roadmap. That split is deliberate: security policy, security architecture approval ...

Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world‐class engineering team, and deliver production‐grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory … platform — reusable models, tooling, guardrails, evaluation frameworks, and accelerators — that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining ...

Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory … shared AI platform — reusable models, tooling, guardrails, evaluation frameworks, and accelerators — that reduces duplication, lowers cost, and enables faster adoption across COOEstablish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiativesDefine a rigorous total cost of ownership model for developing, deploying, and sustaining ...

strong understanding of the Generative AI landscapeStrong foundation in integration architecture principles — API-led connectivity, process orchestration, application lifecycle management, and securityStrong engineering background. Preferred fields include Computer Science, Software Engineering, MIS, Electrical Engineering, Data Science, or equivalent experienceProficiency in at least one coding language (Python, Java … working close to the codeAbility and interest in traveling domestically, as needed for client engagementsPreferred Qualifications4-8 years in Enterprise architecture or solution engineering, with 2+ years dedicated to enterprise architecture in a customer-facing roleHands-on experience with prompt engineering, LLMs, and Generative AI architecture ...

frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience with AWS or Azure, Docker and ideally Kubernetes Experience with PostgreSQL, MongoDB or similar databases Experience with CI/… using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role? You'll work ...

frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience with AWS or Azure, Docker and ideally Kubernetes Experience with PostgreSQL, MongoDB or similar databases Experience with CI/… using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role? You'll work ...

Head of AI Solutions** is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory … platform — reusable models, tooling, guardrails, evaluation frameworks, and accelerators — that reduces duplication, lowers cost, and enables faster adoption across COO* Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives* Define a rigorous total cost of ownership model for developing, deploying, and sustaining ...

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 to take ...

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 ...

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. ...