201 to 225 of 384 Prompt Engineering Jobs in England

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...