126 to 150 of 191 Prompt Engineering Jobs in the UK

DoingTechnical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend … implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills Youll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation ...

delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge ...

Demonstrated experience as an AI Architect, Machine Learning Architect, or Generative AI Architect Strong hands-on expertise with LLMs, RAG architectures, LangChain, LangGraph, and prompt engineering Deep cloud knowledge including Azure OpenAI, AWS Bedrock/SageMaker, or GCP Vertex AI Experience with Kubernetes, Docker, microservices architectures ...

area. This role operates at a Principal level , influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. … build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence Manage cross team technical dependencies to enable independent ...

Nice to Have Bonus points — none of these are dealbreakers, but they would make a hiring manager very happy: Experience with GenAI, LLMs, SLMs, prompt engineering, or agentic AI workflows. Given the direction of the product, this is increasingly relevant. Cloud AI platform experience — GCP, Azure, Databricks ...

optimise machine learning and NLP models in production Develop end-to-end data science pipelines Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering) Work with BigQuery ML and cloud platforms for large-scale modelling Translate business challenges into scalable data solutions Collaborate with cross-functional teams … across engineering and business Mentor junior team members where required Required Experience 10+ years in Data Science, Machine Learning, or AI Engineering Strong Python skills and experience with ML frameworks Proven track record delivering end-to-end ML/NLP solutions Hands-on experience with Generative AI (LLMs ...

broader Microsoft tooling. This role suits someone who is highly autonomous, delivery‐focused, and capable of handling a wide mix of early-stage engineering, documentation, prototyping and solution shaping This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days … week on site. What You’ll Be Doing: AI Engineering & Build Designing and building AI solutions using: Azure AI Foundry M365 Agents Copilot extensions/plugins Micro stack orchestratinsmkl1on Python as the primary engineering language Creating purpose‐built AI agents aligned to CRM AI business maps, workflow automation ...

Solution Architect, you will play a pivotal role in designing and delivering advanced Generative AI solutions for enterprise customers. You’ll collaborate with engineering, product, and business teams to architect robust systems while advising clients on the best ways to deploy AI within complex environments. You’ll also … evolution of the company’s AI platform. What You’ll Be Doing • Architect and implement enterprise Generative AI solutions using LLMs, RAG pipelines, prompt engineering and frameworks such as LangChain • Design scalable AI systems using Azure OpenAI, OpenAI API, Claude, Bedrock or Vertex AI • Lead the architecture ...

powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability … governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help ...

automation templates Help establish internal AI standards and best practices Tech Environment AI & Agents Advanced reasoning models (e.g. Claude) Code generation models (e.g. Codex) Prompt engineering & evaluation frameworks RAG architectures Embeddings & vector search (desirable) Orchestration & Automation Agent orchestration frameworks (e.g. Antigravity) Power Automate API-first integrations Event-driven … architectures Engineering Python REST APIs SQL Git-based version control Secure secrets handling What We’re Looking For 5–8+ years in automation engineering, AI systems, or solutions architecture Experience deploying LLM-powered workflows in production Proven ability to automate complex business processes end-to-end Experience integrating ...

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 ...

GenAI tooling Own and evolve the AI strategy, driving real product impact through LLMs, agentic architectures, and advanced ML Work cross-functionally with Product, Engineering and leadership to turn customer problems into production AI systems Influence the adoption of state-of-the-art approaches across RAG pipelines, evaluation frameworks … agent tooling, and prompt engineering Build AI products that deliver real commercial value, balancing experimentation with scalable delivery What they’re looking for: Proven AI leader who has built commercial AI products Deep experience across Generative AI, LLMs and classical machine learning Strong hands-on engineering background ...

analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience. Design AI enabled workflows, prompt patterns, user interactions and human in the loop models that maximise safety, transparency and user trust. Assess solution feasibility by evaluating data readiness, technical … mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value. Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI. Experience assessing data quality, readiness, lineage and feasibility for AI enabled solutions. Ability to design ...

analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience. Design AI enabled workflows, prompt patterns, user interactions and human in the loop models that maximise safety, transparency and user trust. Assess solution feasibility by evaluating data readiness, technical … mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value. Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI. Experience assessing data quality, readiness, lineage and feasibility for AI enabled solutions. Ability to design ...

provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from ...

systems Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques Works independently, resolving complex issues with little or no supervision or direction Has experience of managing a junior team to achieve ...

design, build and enhance scalable software solutions that deliver enterprise-grade technology capabilities. Working closely with product, architecture and business stakeholders, you will guide engineering standards, influence strategy, and ensure secure, high-quality delivery. Key responsibilities include: Leading the design and delivery of robust, scalable software using modern engineering … performance optimisation Mentoring and developing engineers, fostering a high-performance culture Managing risk, governance and controls within a regulated environment Contributing to broader engineering strategy and innovation communities What Theyre Looking For: Strong Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services ...

design, build and enhance scalable software solutions that deliver enterprise-grade technology capabilities. Working closely with product, architecture and business stakeholders, you will guide engineering standards, influence strategy, and ensure secure, high-quality delivery. Key responsibilities include: Leading the design and delivery of robust, scalable software using modern engineering … performance optimisation Mentoring and developing engineers, fostering a high-performance culture Managing risk, governance and controls within a regulated environment Contributing to broader engineering strategy and innovation communities What Theyre Looking For: Strong Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services ...

founder to shape the technical vision and execution of a high-growth startup backed by a larger, established group. Youll lead a talented engineering squad, drive architectural decisions, and deliver scalable backend systems that support thousands of users-all while influencing the strategic direction of the product. This … environment. The RoleTechnical Strategy & Leadership Work alongside the founder to define and evolve the technical roadmap Lead architectural design and critical technology decisions Champion engineering best practices, code quality, and technical excellence Mentor, coach, and grow engineers at all levels Foster a culture of ownership, collaboration, and innovation Backend ...

Generative AI solutions within a large, complex enterprise environment. This role sits at the centre of the AI-driven technology function, shaping engineering strategy, building scalable AI applications and integrating LLM-powered capabilities into systems used by thousands of colleagues every day. This position is perfect for an engineer … Responsibilities Lead the design and delivery of AI, ML and Generative AI applications across major digital transformation initiatives. Translate business and technical objectives into engineering roadmaps and implementation strategies. Develop scalable AI systems using Python, LLMs and cloud-native services Evaluate and optimise Large Language Models, prompts and model ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … digital analytics Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams ...

based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused … with product and design teams to translate user prompts into structured outputs Own performance, reliability, and cost optimisation across AI services Requirements Strong backend engineering experience with Python Proven experience building and deploying LLM based systems in production Experience with FastAPI, Pydantic, or similar frameworks Hands on experience with ...

that actually needs to work. 50+ models in production. Real clients. Real scale. The role You'll own LLM applications end to end. Architecture, prompt engineering, RAG pipelines, eval tooling, guardrails, all of it. No handoffs, no red tape. You build it, you own it. Stack: LangChain/ ...

closely with teammates across disciplines and have the opportunity to learn from experienced engineers and leaders. Key responsibilities include: Supporting and contributing to data engineering projects, helping ensure delivery within scope and timelines. Working alongside supportive team members to develop and maintain data pipelines and infrastructure. Partnering with cross … collaborative, inclusive, and growth-focused team culture. What youll bring A Bachelors degree in a relevant field or equivalent experience. Experience with modern data engineering tools and technologies. A growth mindset and passion for continuous learning. Understanding and hands-on experience with Transformer models and LLMs (e.g., GPT, LLaMA ...

Company They are a tech‐forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart … secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP. • Embed security, compliance, GDPR controls and best‐practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs ...