151 to 175 of 280 Prompt Engineering Jobs in London

strategic cloud partners to build, integrate and support AI applications with confidence. Your audience is solution architects, field engineers, developers, technical consultants and sales engineering teams. You take a proven AI curriculum and make it work for cloud partner audiences: real deployment scenarios, partner-specific examples, live troubleshooting. … engineers by knowing your stuff. Experience & Education More than 5 years of professional experience in technical training, developer education, solution architecture, technical consulting, partner engineering, software development or cloud enablement. Experience delivering technical workshops, bootcamps, labs or train-the-trainer sessions for professional audiences. Strong practical fluency with generative ...

seeking outstanding individuals to join our team as an Apromore Solution Engineer with a strong technical background and deep expertise in process intelligence, data engineering, and AI-driven solutions. In this role, you will go beyond traditional pre-sales; you will be pivotal in bridging the gap between process … advance and close enterprise opportunities by establishing deep technical credibility. This is a hands‐on, high‐impact role requiring pre‐sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore's process intelligence capabilities to precisely identify high‐propensity ...

into scalable technical solution designs. Build, integrate, and optimize AI applications using Python and leading AI development frameworks. Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls. Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern … required. Ensure AI solutions align with security, governance, Responsible AI, and enterprise architecture standards. Your Skills and Experience Degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related STEM discipline, or equivalent professional experience. Strong experience developing AI solutions using Python and modern AI frameworks such ...

engineer who can move beyond proof of concept and deliver secure, scalable and production-ready AI solutions. Key experience required: Strong Python and backend engineering experience Hands-on experience with OpenAI and/or Anthropic Claude APIs Practical experience with prompt engineering and LLM application development Experience … production-readiness Experience in insurance, financial services or another regulated environment would be advantageous, but the key requirement is proven hands-on AI engineering capability. This is a strong opportunity to join a business investing in applied AI and to help shape solutions that deliver tangible operational and commercial ...

Developer to design, build, and maintain scalable, secure server-side services and APIs, while contributing to the adoption of Agentic AI capabilities within our engineering platform. The role sits at SFIA Level 4 : the individual works under general direction, uses discretion in resolving problems, plans and monitors their … function calling, structured outputs). Experience with retrieval-augmented generation (RAG) : vector databases (e.g., Pinecone, Weaviate, pgvector), embeddings, and chunking strategies. Working knowledge of prompt engineering and evaluation techniques for agent reliability, safety, and cost control. Familiarity with orchestrating multi-agent workflows and human-in-the-loop approval ...

Corporate Engineering AI (CE AI) Team The Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team’s mission is to scale safe, high‐quality AI capabilities across the enterprise by providing shared platforms, patterns, governance … Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central ...

world. We're one global team driven by our common purpose to deliver a better world. Join us. Job DescriptionIn AECOM's AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed … waste, cutting CO2, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact. With our AI Engineering team we've created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions … delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with ...

Corporate Engineering AI (CE AI) TeamThe Corporate Engineering AI team is the central enablement and platform delivery function for LSEG's internal agentic AI ecosystem. The team's mission is to scale safe, high‐quality AI capabilities across the enterprise by providing shared platforms, patterns, governance, and delivery … Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central ...

with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices, DDD. Experience with vector databases, semantic search, Azure ML pipelines, Power Platform ...

Cloud (GCP, AWS, or Azure), containerization, CI/CD pipelines. Key Responsibilities Agentic Systems: Build multi-agent, stateful, and asynchronous workflows. LLM Management: Handle prompt engineering, context/memory management, hallucination controls, guardrails, and fallback logic. Observability: Implement tracing and evaluation frameworks, specifically utilizing LLM-as-a-Judge … patterns. Backend Engineering: Develop secure Python APIs and maintain strong testing and deployment disciplines. If interested kindly email me your updated CV to dona. thomas@ randstaddigital. com. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

Senior AI Engineer (Principal Consultant) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery … team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi ...

escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing … Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations Maintain stakeholder expectations, communicate trade-offs of AI-driven solutions (accuracy, latency, cost, risk ...

Inside IR35 | 6 Months | Mainly Remote We're seeking an experienced SC Cleared Lead AI Engineer to drive AI adoption, governance, and engineering best practice across a large-scale organisation. This is a senior technical leadership role focused on establishing standards, defining guardrails, and enabling teams to adopt … technologies safely, effectively, and at scale. You'll combine hands-on AI engineering expertise with strategic influence, helping delivery teams integrate modern AI tooling while building sustainable communities of practice and adoption frameworks. Active SC Clearance is essential and must be in place at the point of application. ...

team moves fast, takes ownership, stays close to its customers, and values clear thinking and simplicity over complexity. Role OverviewYou will join the product engineering team and lead the development of AI-powered features within the platform. This is a hands-on applied research and engineering role focused … advancements in NLP, LLMs, and applied ML; bring innovations into production when appropriate. Contribute to documentation, code reviews, and knowledge sharing across the engineering organisation. Must-Have Requirements5+ years of proven experience as an AI/ML Engineer or similar role, delivering NLP and ML models into production SaaS ...

join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits … business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer: Strong proficiency ...

join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits … business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer: Strong proficiency ...

generative AI, recommendation systems, or conversational AI.Ideally, you also have experience with large language models (LLMs), foundation models, retrieval-augmented generation (RAG), fine-tuning, prompt engineering, or agentic AI architectures. Hands-on experience with AWS AI/ML services such as Amazon Bedrock, Amazon SageMaker, Amazon … Amazon Rekognition is highly valued. Experience architecting end-to-end ML pipelines including data ingestion, feature engineering, model training, evaluation, and production deployment (MLOps) would further strengthen your candidacy. Basic qualifications- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field ...

Oral and written fluency in English language is essential Preferred qualifications, capabilities, and skills Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot ...

personalisation capabilities. Apply MLOps best practices across the AI lifecycle, including CI/CD, monitoring, model deployment, testing, and performance optimisation. Collaborate with product, engineering, and cloud teams to create secure, scalable, and responsible AI solutions while supporting ongoing innovation. Your Key Skills Strong commercial experience with Python … production environments. Experience fine-tuning and optimising pre-trained models for specific business applications. Hands-on knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), and model fine-tuning techniques. Understanding of modern software engineering practices including Git, CI/CD, Containerisation ...

Role We are looking for a Full Stack Software Engineer to build and deploy production-grade AI agents. This is a hands-on engineering role with exposure to the full product lifecycle, from understanding customer problems and designing solutions to building, evaluating, launching and improving AI-powered systems … applications Design schemas, workflows and evaluation frameworks Identify recurring customer needs and help turn them into reusable platform capabilities Collaborate closely with product and engineering teams in a fast-moving environment What You'll Bring 5+ years of experience building and scaling production software Strong backend engineering fundamentals ...

leadership and mentorship to a junior engineer. Essential Skills & Experience - MCP server development and AI agent tooling - Azure OpenAI, Azure AI Search, RAG and prompt engineering - SharePoint Online and Microsoft Graph API - Hybrid semantic/vector search - Enterprise API development and document processing - Azure (Functions and/… Container Apps) - Entra ID and OAuth/OIDC- CI/CD, testing and production support - Software engineering experience, ideally using Python and/or C#/.NET Desirable Skills - Microsoft 365 Copilot - Microsoft Purview - Enterprise knowledge management - Legal/eDiscovery solutions - Regulated or public-sector environments ...

alongside an understanding of cyber security operations. You'll ideally bring experience across: OpenAI platform/API development LLMs and Generative AI RAG implementation Prompt engineering and optimisation AI assistants/copilots Agentic AI or multi-agent systems Python development Vector databases and knowledge retrieval AI evaluation … model testing API integration and secure software engineering Cyber Security/SOC environments SIEM/SOAR technologies Rapid prototyping and PoC development You don't need to have done everything above. Strong practical GenAI engineering experience combined with an interest in applying AI to cyber security is what ...

Insert Team Name/Line of Business], you will ship secure, full-stack features, write clean Java code, and deepen your expertise in modern engineering practices — including microservices, event-driven architecture, and CI/CD — while building the foundation for a serious, long-term engineering career. … vendors, startups, and internal teams by contributing to outcomes-oriented reviews of architecture, technical capabilities, and platform fitContribute to communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and promoting engineering best practicesLeverage enterprise-authorized AI coding assist tools within the work environment ...

thought leadership content and contribute to go-to-market propositionsMaintain strong awareness of emerging technologies and the competitive AI landscapeCollaborate closely with data science, engineering and business teams to design robust end-to-end solutionsContribute to account strategy, aligning technical delivery with business prioritiesDrive productivity improvements and cost optimisation … through intelligent automationEssential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automationStrong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOpsExperience delivering enterprise-scale RAG solutions using LLMs and vector databasesAbility to design AI platforms that ...