301 to 325 of 502 Prompt Engineering Jobs in the UK

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 ...

shipping AI applications, pipelines, and workflows in live, production environments - not just notebooks and academic experiments. Hands-on proficiency with Large Language Models (LLMs) , prompt engineering, and agentic frameworks and orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, or similar). Strong software engineering fundamentals - comfortable working across ...

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 ...

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

personalisation capabilities. Apply MLOps best practices across the AI lifecycle, including CI/CD, monitoring, model deployment, testing, and performance optimisation. Collaborate with product, engineering, and cloud teams to create secure, scalable, and responsible AI solutions while supporting ongoing innovation. Your Key Skills Strong commercial experience with Python … production environments. Experience fine-tuning and optimising pre-trained models for specific business applications. Hands-on knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), and model fine-tuning techniques. Understanding of modern software engineering practices including Git, CI/CD, Containerisation ...

Role We are looking for a Full Stack Software Engineer to build and deploy production-grade AI agents. This is a hands-on engineering role with exposure to the full product lifecycle, from understanding customer problems and designing solutions to building, evaluating, launching and improving AI-powered systems … applications Design schemas, workflows and evaluation frameworks Identify recurring customer needs and help turn them into reusable platform capabilities Collaborate closely with product and engineering teams in a fast-moving environment What You'll Bring 5+ years of experience building and scaling production software Strong backend engineering fundamentals ...

like token rotation. By leveraging Python, Go, React, and TypeScript, you will create in-house applicationsfrom compliance dashboards to automated release enginesthat solve complex engineering challenges. Automation is central to this role. You will identify repetitive tasks and use AI tools to reduce toil, allowing you to focus … includes an on-call requirement. This role is eligible for inclusion in the Companys hybrid work from home policy. Qualifications Commercial experience in software engineering, DevOps, or platform roles Proficiency in scripting and programming languages such as Python or Bash Strong understanding of version control systems like GitLab ...

like token rotation. By leveraging Python, Go, React, and TypeScript, you will create in-house applicationsfrom compliance dashboards to automated release enginesthat solve complex engineering challenges. Automation is central to this role. You will identify repetitive tasks and use AI tools to reduce toil, allowing you to focus … includes an on-call requirement. This role is eligible for inclusion in the Companys hybrid work from home policy. Qualifications Commercial experience in software engineering, DevOps, or platform roles Proficiency in scripting and programming languages such as Python or Bash Strong understanding of version control systems like GitLab ...

leadership and mentorship to a junior engineer. Essential Skills & Experience - MCP server development and AI agent tooling - Azure OpenAI, Azure AI Search, RAG and prompt engineering - SharePoint Online and Microsoft Graph API - Hybrid semantic/vector search - Enterprise API development and document processing - Azure (Functions and/… Container Apps) - Entra ID and OAuth/OIDC- CI/CD, testing and production support - Software engineering experience, ideally using Python and/or C#/.NET Desirable Skills - Microsoft 365 Copilot - Microsoft Purview - Enterprise knowledge management - Legal/eDiscovery solutions - Regulated or public-sector environments ...

alongside an understanding of cyber security operations. You'll ideally bring experience across: OpenAI platform/API development LLMs and Generative AI RAG implementation Prompt engineering and optimisation AI assistants/copilots Agentic AI or multi-agent systems Python development Vector databases and knowledge retrieval AI evaluation … model testing API integration and secure software engineering Cyber Security/SOC environments SIEM/SOAR technologies Rapid prototyping and PoC development You don't need to have done everything above. Strong practical GenAI engineering experience combined with an interest in applying AI to cyber security is what ...

part of a diverse, ambitious team that celebrates creativity and collaboration. CAPABILITY/JOB FAMILY GROUP: Artificial Intelligence JOB FAMILY: AI Engineering JOB PROFILE TITLE: AI Solution Architect MANAGEMENT LEVEL: Manager Job Profile Description As an AI Solution Architect in Actonomy, you’ll be the technical lead … Forward Deployed Engineers working hands-on inside customer environments to turn ambitious AI ideas into production reality. It’s a role that combines engineering, consulting and product thinking, so you’ll be as comfortable in front of a customer as you are in the code. As a technical leader ...

Insert Team Name/Line of Business], you will ship secure, full-stack features, write clean Java code, and deepen your expertise in modern engineering practices — including microservices, event-driven architecture, and CI/CD — while building the foundation for a serious, long-term engineering career. … vendors, startups, and internal teams by contributing to outcomes-oriented reviews of architecture, technical capabilities, and platform fitContribute to communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and promoting engineering best practicesLeverage enterprise-authorized AI coding assist tools within the work environment ...

designing, building, and deploying enterprise‐grade conversational AI and agentic automation solutions on the Omilia platform. You will serve at the intersection of AI engineering and client delivery — translating complex CX requirements into production‐ready implementations. This role is structured as the entry point to technical leadership at Omilia. … covering agentic workflows blended with traditional NLU modelling, and omnichannel integrations. Integrate GenAI capabilities into production deployments — including RAG pipelines, embedding search, and LLM prompt engineering. Manage contact centre infrastructure integrations: IVR, SIP, CTI, and omnichannel APIs. Client and Cross‐functional Collaboration Serve as the primary technical point ...

thought leadership content and contribute to go-to-market propositionsMaintain strong awareness of emerging technologies and the competitive AI landscapeCollaborate closely with data science, engineering and business teams to design robust end-to-end solutionsContribute to account strategy, aligning technical delivery with business prioritiesDrive productivity improvements and cost optimisation … through intelligent automationEssential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automationStrong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOpsExperience delivering enterprise-scale RAG solutions using LLMs and vector databasesAbility to design AI platforms that ...

platform team, sharing field insights that shape product direction and model improvement. The role offers a unique opportunity to lead critical projects, shape engineering culture, and accelerate your career growth in the rapidly evolving field of generative AI. **Role Responsibilities*** Own the full lifecycle of AI deployments within your … Embed directly with business stakeholders to understand their most pressing challenges. Translate complex domain requirements into well-defined technical solutions, operating as a trusted engineering partner rather than a distant service provider. Communicate progress, trade-offs, and outcomes clearly to leadership.* Architect, build, and deploy cutting-edge AI applications ...

Insert Team Name/Line of Business], you will ship secure, full-stack features, write clean Java code, and deepen your expertise in modern engineering practices — including microservices, event-driven architecture, and CI/CD — while building the foundation for a serious, long-term engineering career. … startups, and internal teams by contributing to outcomes-oriented reviews of architecture, technical capabilities, and platform fit Contribute to communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and promoting engineering best practices Leverage enterprise-authorized AI coding assist tools within the work ...

delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands‐on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms … concepts into business value Ideal Candidate A hands on AI leader who has successfully delivered real‐world AI systems at scale, balancing technical architecture, engineering excellence, client engagement and delivery leadership within complex, mission‐critical environments. #J-18808-Ljbffr ...

delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms … concepts into business value Ideal Candidate A hands on AI leader who has successfully delivered real-world AI systems at scale, balancing technical architecture, engineering excellence, client engagement and delivery leadership within complex, mission-critical environments. If you receive suspicious outreach claiming to be from us, please contact ...

building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable … replace manual effort and improve outbound precision. The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how our client builds and scales its commercial engine. What Youll ...