276 to 300 of 493 Prompt Engineering Jobs in the UK

platform services and clean APIs for modern AI workloads, we want to talk to you. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility … startup. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software. Key responsibilities Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance ...

wealth management technology. We are looking for a Senior Java Software Engineer who is serious about AI-assisted development, curious about how software engineering is changing, and ready to do real work on systems that matter. You will not be handed a ticket queue. You will be expected … full delivery lifecycle: design discussions, development, testing, deployment, and iteration Apply AI-Native Development Practices Use AI-assisted development tools, including code generation, prompt engineering, and agentic frameworks, as a standard part of your daily workflow from day one Learn and apply the team’s standards for building ...

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 ...

control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired Qualifications, Capabilities, and Skills: Formal training or certification on software engineering conceptsExperience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g. … CMBS, RMBS, ABS)Proven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflowsExperience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programsStrong technical skills in data profiling, analysis, and data management using modern tools and environments (Python ...

Experience designing and delivering scalable, cloud‐native applications Exposure to Gen‐AI concepts including: Large Language Models (LLMs) and transformer‐based systems Prompt engineering and basic agent workflows Vector search and retrieval concepts Familiarity with Gen‐AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration ...

Experience designing and delivering **scalable, cloud‐native applications*** Exposure to Gen‐AI concepts including: + Large Language Models (LLMs) and transformer‐based systems + Prompt engineering and basic agent workflows + Vector search and retrieval concepts* Familiarity with Gen‐AI frameworks/tools such as **LangChain, LangGraph, MLflow ...

delivery of full-stack applications, owning technical direction from architecture through production deployment Drive technical decisions and trade-offs, communicating rationale clearly to both engineering peers and non-technical stakeholders Leverage generative AI tools (coding assistants, LLM APIs, AI-augmented workflows) to accelerate development, improve code quality, and build … asked Collaborate across business units, translating ambiguous business needs into well-scoped technical solutions Elevate the team through code reviews, technical mentorship, and establishing engineering best practices Rapidly learn and become productive in unfamiliar codebases, technology stacks, and problem domains Troubleshoot and resolve complex issues spanning the full stack ...

close to the details but not necessarily coding) Collaborate with Product Directors to understand product vision and translate this into deliverables, aligning commercial and engineering goals. Lead our shift to an AI‐First way of working, architecting the data foundations to enable AI in our products and championing … orchestration, Retrieval‐Augmented Generation (RAG), and real‐time model inference at scale Mentor and coach Technical Leads/Senior Engineers on architectural and engineering excellence, continually raising our bar and supporting career growth Act as a role model for technical leadership — work with pace, be pragmatic, and stay laser ...

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 ...

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. ...

automation within business solutions.Collaborate effectively with architects, engineers, analysts, and stakeholders to deliver successful project outcomes.Ensure applications are secure, resilient, scalable, and aligned with engineering best practices.Participate in code reviews, testing activities, and continuous improvement initiatives to maintain high delivery standards.Troubleshoot complex technical issues and identify opportunities for optimisation … practices that enable reliable, repeatable, and efficient software releases.Foster a culture of continuous learning, knowledge sharing, and future-ready capability development.Required Skill:Strong software engineering experience delivering enterprise-scale applications.Proven experience developing object-oriented and backend application solutions.Strong proficiency in Java and Python development.Experience designing and implementing microservices-based ...

foundational building blocks for AI adoption across AVEVA's product portfolio and partner ecosystem. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility … start-up. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software. Key Responsibilities: Serve as the technical authority for core services owning design, reliability and performance. ...

foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility … start-up. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software. Key Responsibilities: Serve as the technical authority for core services owning design, reliability and performance. ...

deep learning, computer vision, NLP, and reinforcement learning. Experience deploying models to cloud environments (AWS, Azure, or GCP). Prior experience leading and mentoring engineering teams. Excellent analytical, problem-solving, and communication skills. Preferred: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, etc.). Research background or publications …/ML conferences (NeurIPS, CVPR, ICML, etc.). Familiarity with prompt engineering, fine-tuning LLMs, and synthetic data generation. #J-18808-Ljbffr ...

Services: Deep proficiency with Azure OpenAI (or equivalent enterprise LLMs), embedding generation, vector and hybrid search implementations. Orchestration & Agents: Experience with agent frameworks, prompt engineering, design patterns, and rigorous prompt versioning. Copilot Studio: Design and deployment of customized conversational agents and copilots. Search & Indexing: Advanced implementation ...

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 ...

expertise in modern AI ecosystems Mandatory Skills AI/ML Experiment design and A/B testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational AI development BigQuery Dataflow Cloud Functions GKE Pub/Sub IAM and Security Controls ...

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 ...