101 to 125 of 178 Prompt Engineering Jobs in the UK

questions, and value-based selling to overcome objections and facilitate successful deal closures Collaboration & Cross-Functional Alignment: Collaborate closely with Account Executives, Product Management, Engineering, and Customer Success teams to define solution objectives, integrate presales insights into product roadmaps, and ensure seamless customer onboarding AI Integration & Application: Proactively explore … resonates with business needs and drives buy-in. AI/ML Tools & Concepts: Experience with generative AI platforms (e.g., Snowflake Cortex, Chat GPT) and prompt engineering for presales use cases such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities ...

variety of generative models Indepth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing Handson in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases Develop and deliver upskilling sessions ...

agents or copilots Hands-on experience with Microsoft Copilot, Copilot Studio, and/or Azure OpenAI Strong understanding of large language models (LLMs), prompt engineering, and document processing Experience working with unstructured data and implementing document analysis solutions Knowledge of data mapping, data lineage, and workflow/process ...

tooling, or extending platform logic. Collaborate closely with cross-functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. … landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master’s degree or Phd in Computer Science or Data Science 6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles. Proven success building and deploying AI/ML or data-intensive applications in production. Deep ...

growing client pipeline. This hire is central to taking that capability to the next level. The Role This is a hands-on AI Engineering role. You’ll be the technical engine behind our AI capability, building production-grade AI solutions for both clients and internal use. You’ll work … directly with our CTO and engineering leadership to extend and scale our internal AI platform while delivering cutting-edge AI solutions into real-world client environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations ...

Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You’ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . … work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You’ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands ...

intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with … responsibilities Design and build AI-powered product features end-to-end (frontend, backend, and AI layer) Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures Build scalable backend services ...

driven SaaS companies, and a standout performer within the hospitality technology space, and is now doubling down on embedding AI across its product and engineering ecosystem. The Opportunity You’ll join a 45+ person engineering team and play a key role in shaping how AI, LLMs and machine … global customer base. What You’ll Be Doing Designing and delivering AI-powered product features and workflows Working with LLMs in production, including prompt engineering and optimisation Building AI agents and advanced workflows Developing and integrating MCP services and API-driven AI interactions Embedding AI into core product ...

directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience … experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions . A strong interest in computer vision ...

design, build, and delivery of an end-to-end internal AI-enabled helpdesk and workflow automation platform. This role combines hands-on full-stack engineering with technical leadership and delivery accountability, owning solutions across web UI, Back End services, APIs, AI/agent orchestration, and enterprise integrations. The successful … solution design across Front End, Back End, APIs, and AI/agent workflows. Make architectural decisions aligned to technology standards, cloud strategy, and engineering best practices. Provide hands-on guidance, code reviews, and mentoring to engineers within the delivery team. Ensure non-functional requirements are met, including security, performance ...

Experience building applications using LLM APIs, with a strong understanding of their strengths and limitations Hands-on experience with RAG architectures, vector databases, and prompt engineering Experience developing multi-step workflows or agentic systems (frameworks or custom builds) Strong programming skills (Python or similar), with experience building production … guardrails What’s On Offer Highly competitive salary and bonus The chance to work on genuinely cutting-edge AI problems A collaborative, high-performance engineering culture Strong financial backing and ambitious growth plans Clear progression opportunities as the company scales Personal learning budget to accelerate your development Freedom ...

Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling, and orchestration frameworks Ability to work autonomously in a scale-up environment A product-focused mindset — you enjoy owning features ...

hallucinations, and output quality issues Skills & Experience Essential: Experience with workflow automation platforms (n8n, Make, Zapier, Node-RED, or similar) Hands-on experience with prompt engineering and optimisation Strong understanding of large language models in production scenarios Practical experience integrating systems using REST APIs and webhooks Experience working ...

emerge About You Must-Haves • Hands-on experience building AI workflows and automations (n8n, Make, LangChain, or similar) • Deep familiarity with LLM APIs and prompt engineering • Understanding of agentic AI systems, RAG pipelines, and vector databases • Experience integrating third-party APIs (Slack, Notion, Xero, or similar) • Proactive, self ...

scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive … complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating ...

scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive … complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating ...

Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance. • Pair with internal devs … alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than ...

onsite) Rates: Up to £900 p/d DOE (Inside IR35) I'm looking for an experienced ML Engineer to join a central AI engineering function responsible for building and scaling enterprise-grade agentic AI capabilities across a global organisation. This team owns the core AI enablement platform used … internally to support AI agents, orchestration workflows, knowledge retrieval, and secure tool integration at scale. The environment is highly engineering-focused, combining platform thinking with hands-on AI delivery. The role will involve designing and building MCP servers, AI tools, orchestration Skills, and secure API integrations that expose enterprise ...

across FS, Public Sector & Pharma Leading dev teams as you progress What they need: Experience with Copilot Studio (non-negotiable for this role) Strong prompt engineering (optimisation, guardrails, evaluation) Background delivering AI/automation solutions in a client setting Solid engineering mindset – build, deploy, scale Bonus: Power … Azure AI (OpenAI, Functions, APIs), consulting exposure Why it’s worth a conversation: 100% delivery focus – no heavy sales/bid work Real AI engineering (not advisory) Clear progression (Analyst → Manager) 80+ hours annual learning + certifications Work with one of Microsoft’s top global partners This ...

exclusive search for an AI Engineer to join the AI team at a leading global hedge fund in London. This is a hands-on engineering role sitting at the intersection of cutting-edge AI and live investment processes, building production-ready systems that directly impact trading and research. … their application to financial markets. Day-to-day, this means building scalable pipelines from research through to production, implementing agentic AI solutions (fine-tuning, prompt engineering, MCP connectors, multi-agent frameworks), and developing evaluation and monitoring frameworks for models in live environments. You'll work closely with portfolio ...

build intelligent, scalable products used by thousands of customers. This is a high-impact role where you’ll work closely with product, data, and engineering teams to bring AI-driven features into production. What you’ll be doing: Designing and building scalable backend systems using Python Developing and integrating … OpenAI, LangChain, Hugging Face) Collaborating with data scientists to productionise models Improving system performance, reliability, and scalability Contributing to architectural decisions in a growing engineering team What they’re looking for: Strong experience with Python in a production environment Hands-on experience with LLMs or applied AI (prompt ...

working with AI in production, including: Building agent-style or multi-step AI workflows Using LLMs (Azure OpenAI/OpenAI) in real applications Implementing prompt engineering in production environments Working with RAG, embeddings, or vector-based search Designing systems with human-in-the-loop controls and governance Understanding … Azure Functions Experience building robust, scalable, enterprise-grade systems Strong SQL Server/T-SQL knowledge Experience with APIs, integrations, and distributed systems Strong engineering fundamentals and coding best practices AI Experience Proven experience delivering AI/LLM-powered features in production Hands-on experience building agentic or workflow ...

coming in to manage. You're coming in to leave by doing. You'll set architecture strategy, make build-versus-buy calls, raise engineering quality, and help shape the team as it grows. The best candidates will be energised by that scope, not daunted by it. REQUIREMENTS: Strong Python … build robust systems that scale AI and agent-specific skills Experience designing and optimising multi-agent systems for reliability and production performance Understanding of prompt engineering techniques including few-shot learning, chain-of-thought and RAG Familiarity with LLM evaluation strategies and how to measure whether your system ...

have (we value talent over checklists, but here’s an idea of what we’re looking for): Foundational Education : A background in Computer Science, Engineering, or equivalent “in-the-trenches” experience. Architectural Instincts : Experience building scalable, high-performance systems and a deep understanding of design patterns. Full-Stack Fluency … Hands-on experience working with AI tools and APIs to automate workflows or enhance product capabilities eg Claude API, OpenAI API, LangGraph, LangSmith, RAG, Prompt Engineering, Agentic AI (Certifications). The Startup Mindset : You are pragmatic. You understand the value of testing and process ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...