76 to 100 of 341 Prompt Engineering Jobs in London

SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. Full-Stack Impact: While focused on AI, you’ll work across … shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability to articulate complex technical decisions ...

POCs alongside Account Executives to close deals; own onboarding to get customers to first value fast; build and implement workflows within V7 Go combining prompt engineering, data pipelines, and integrations; act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities; manage … Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, solutions design/architecture, integrating different cloud providers, prompt engineering, and/or measuring AI accuracy; proficiency in Python; ability to develop and articulate an AI solution vision to technical and business ...

voices. You'll work closely with Directors, Narrative Designers, Production, Localization and clients to transform scripts into believable performances through careful voice design, prompt engineering, voice direction, editing and quality control. The successful candidate will help develop scalable synthetic voice production workflows while maintaining the creative standards Side … narrative context to ensure performances align with each character's personality, emotion and delivery style. Experiment with tone, pacing, narration techniques, emotional tags and prompt structures to maximise performance quality. Collaborate with Audio Directors to refine performances through multiple iterations. Voice Production Generate voice content using modern Text ...

13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry … Description: Role Summary The AI Agent Developer will design, develop, and configure AI-driven workflows within ServiceNow using Now Assist, AI Agent Studio, prompt engineering, and workflow automation capabilities. The role will focus on delivering productivity improvements through intelligent automation while ensuring governance and regulatory compliance. Experience Minimum ...

focused on enabling engineers, teams and the wider business to maximise the value of AI-assisted and agentic software development. You will work alongside Engineering Managers, Senior Engineers, Product teams and business stakeholders to identify opportunities for AI-driven automation and productivity improvements across the entire software development lifecycle. … will help define the future engineering operating model at Skin Analytics, introducing new tools, workflows, agents and ways of working that allow our teams to deliver more value with greater quality and speed. This is a highly hands-on role. We are looking for someone who actively uses modern ...

writing, sales support, or clinical trial operations. AI & Tech Fluency: Hands-on experience working with AI-powered RFP software (e.g., Loopio), LLM workflows, or prompt engineering frameworks. Systems Proficiency: Experience with Loopio, Salesforce, and Google Workspace platforms. Core Competencies: Strong technical writing, editing, and prompt engineering ...

writing, sales support, or clinical trial operations. AI & Tech Fluency: Hands-on experience working with AI-powered RFP software (e.g., Loopio), LLM workflows, or prompt engineering frameworks. Systems Proficiency: Experience with Loopio, Salesforce, and Google Workspace platforms. Core Competencies: Strong technical writing, editing, and prompt engineering ...

orchestrationAPI designFunction callingLLM evaluation and testingObservability and monitoringModel selection### Key responsibilities* Design multi-agent prompts, orchestration patterns, and tool integrations for production workflows.* Own prompt tooling, evaluation, testing, and optimization across the LLM lifecycle.* Monitor, debug, and improve agents and AI workflows in development and production.## How this … responsible for shaping how LLM-powered agents are designed, orchestrated, tested, monitored, and improved in production. The role sits at the intersection of prompt engineering, agent architecture, solution design, and platform capability development.You will define how agents interact with tools, APIs, and downstream services, and help specify ...

Architect to join a major enterprise AI transformation programme with a leading UK bank. This is a genuinely senior opportunity to define the architecture, engineering standards and delivery of next-generation Agentic AI and Generative AI solutions within a complex, highly regulated environment. You'll operate at the intersection … strategy, enterprise architecture and hands-on engineering, taking ambitious AI initiatives from concept and roadmap through to secure, scalable production. Responsibilities: You'll take ownership of the architecture for enterprise AI capabilities, including: Agentic AI platforms, AI assistants, copilots and autonomous workflows Multi-agent systems incorporating reasoning, planning, memory ...

London, England, United Kingdom Software and Services Software Engineer — Triage Intelligence and Debug Engineering The Triage Intelligence and Debug Engineering team operates at the deepest layers of Apple's software stack, with a mandate that spans the entire product ecosystem. The work we do directly shapes the reliability … every automated pipeline we build contributes to the OS stability that hundreds of millions of people depend on every day. We partner closely with engineering teams across Apple to drive that reliability end-to-end, influencing how the entire organization detects, understands, and resolves systemic failures. Description ...

technical judgment, and customer-facing delivery to ensure successful implementation and long-term adoption. Job Description Role As the Manager of Forward Deployed Engineering (Services) based in London, you will lead a team responsible for hands-on technical delivery of complex enterprise customer engagements. You will coach engineers through … engagements from discovery and requirements gathering through solution design, implementation, launch, and handover. Act as a trusted technical and delivery advisor to customer engineering, IT, security, and business leaders. Guide design, build, and operation of custom agents, integrations, automations, and data pipelines connecting Notion with customers’ systems. Oversee large ...

Principal Software Engineer Department: Technology Employment Type: Permanent - Full Time Location: London Reporting To: Head of Engineering Description Defaqto is one of the most trusted names in UK financial services research and ratings, and our technology turns deep market data into decisions that advisers, providers and consumers rely … looking for a Principal Software Engineer to be the most senior individual contributor in our Technology function. Reporting to the Head of Engineering and working closely with the CTO, you will own how we build software at Defaqto: our engineering standards and practices, our technical direction, and above ...

next generation of agentic AI applications at one of the world’s largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands‐on, builder‐focused … will have the opportunity to grow your career while helping advance safe, reliable, and effective AI in financial services. As an Applied AI Engineering Lead - Vice President in Markets Operations, you will lead the design and implementation of agentic AI applications that improve operational workflows, controls, productivity, and engineering ...

next generation of agentic AI applications at one of the world's largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands-on, builder-focused … will have the opportunity to grow your career while helping advance safe, reliable, and effective AI in financial services. As an Applied AI Engineering Lead - Vice President in Markets Operations, you will lead the design and implementation of agentic AI applications that improve operational workflows, controls, productivity, and engineering ...

thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the TeamAircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts … productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don't need ...

days per week . This is a 12 month temporary contract to start asap Day rate: Competitive Market rate Join a high-performing engineering team delivering next-generation AI and digital transformation solutions within the financial services sector. This role offers the opportunity to design, build, and deploy enterprise … support business-critical applications. Fine-tune, evaluate, onboard, and operationalise foundation models to meet specific business requirements. Collaborate with business stakeholders, architects, and engineering teams to translate use cases into technical solutions. Deploy and manage AI workloads on GCP using modern cloud-native and container technologies. Implement MLOps best ...

practices to improve software quality, scalability, and delivery velocity.A key expectation of this role is hands-on experience building AI agents and intelligent engineering solutions that automate and enhance Software Development Lifecycle (SDLC) processes, improving developer productivity and accelerating delivery outcomes. Responsibilities Design and develop REST APIs, event-driven … interfaces. Build and maintain integrations between Loan IQ and enterprise applications. Design and implement AI-powered agents and workflows that improve SDLC processes and engineering productivity. Leverage AI-assisted development tools to accelerate coding, testing, debugging, code reviews, and documentation. Collaborate with QA, Business Analysts, Product Owners, and Architects ...

success looks like. You act as its CTO and own the architecture and the build. On accounts without a Deployment Strategist, you own the engineering yourself. Areas of ownership: Lead the hardest engagements. Run complex programmes with several workstreams. Make the architecture decisions that span Parloa’s platform … prospect asks how the solution would work for them. What this role is not: Not running the Parloa platform itself. That is a separate engineering role. The platform is your foundation, and you build what a specific customer needs on top of it. Not agent configuration. Business users design ...

Engineer to join their team on a permanent basis in London . Skills and Requirements: 5+ years of hands-on experience in Forward Deployed Engineering, Applied AI Engineering, Technical Consulting, or a similar role Proven experience delivering AI or agentic systems into production Hands-on experience with LLMs … agent frameworks, MCP, prompt engineering, and evaluation Strong software engineering skills using Python, JavaScript, SQL, and APIs Experience integrating AI solutions with enterprise systems, ERPs, supplier portals, and internal platforms Ability to understand complex business workflows and translate them into practical AI-driven solutions Experience debugging, optimising ...

business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate has a consistent track record … teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement. You will partner closely with Product, Engineering, Research, and business partners to shape strategy, accelerate execution, and deliver impactful AI solutions. WHAT YOU'LL BE DOINGThis role combines technical leadership, organizational ...

business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate has a consistent track record … teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement. You will partner closely with Product, Engineering, Research, and business partners to shape strategy, accelerate execution, and deliver impactful AI solutions. WHAT YOU'LL BE DOING This role combines technical leadership ...

governance standards by ensuring comprehensive planning, documentation, release readiness, risk management, and reporting for all AI projects. Provide leadership in establishing architectural principles, engineering standards, reusable patterns, and quality controls for AI solutions throughout the organisation. Deliver high-quality L1, L2, and L3 support across all services owned … Engineering team to ensure operational excellence and reliability. Work closely with Digital Transformation teams and business owners to track outcomes, costs, and return on investment using evidence-based approaches to improve or scale solutions as needed. Ensure all activities comply fully with relevant policies, procedures, controls, including strict adherence ...

this role, you will design, develop, and deploy AI-powered capabilities that drive real business impact. You will work closely with business stakeholders, engineering, and data engineering teams to build scalable, production-grade AI systems. This is an exciting opportunity to shape the next generation of intelligent products … growing your expertise in a collaborative and innovative environment. Primary Responsibilities: Build and maintain end-to-end AI powered solutions covering data ingestion, feature engineering, model training, evaluation, and deployment. Work on building new dashboards/integrating large language models (LLMs) and foundation models into product features, including prompt ...

institution, working on the development and security of the organisation's next-generation Generative AI and LLM-based applications . This is a specialist engineering role focused on designing, developing and enhancing a GenAI prompt security platform , helping protect enterprise AI applications from prompt injection, adversarial attacks … emerging AI security threats . You will work closely with Engineering, Cyber Security and Operations teams across the organisation to build secure, scalable solutions and automated security testing capabilities for a range of LLM use cases. Key Responsibilities Design, develop, optimise and enhance a GenAI prompt security platform ...

software architecture, performance, scalability, security, and maintainability. AI governance & LLMOps Architect governance frameworks for auditability, observability, explainability, and compliance. Design guardrails for hallucination, prompt injection, toxicity, and model safety. Establish LLMOps: evaluation pipelines, automated testing, CI/CD, monitoring, and production governance. Define evaluation frameworks spanning quality, safety, reliability … latency, and business outcomes. Qualifications and experience we consider to be essential for the role: 10–15 years across software engineering, AI/ML, data science, or enterprise architecture, with a clear trajectory into senior technical leadership. Proven track record architecting and deploying production-scale AI, from strategy through ...