11 of 11 AI Agents Jobs in Yorkshire

AI Product Developer (GenAI/LLM/Azure AI) Hybrid | Immediate Start | Contract We are hiring an experienced AI Product Developer/GenAI Engineer to design and deliver enterprise-grade LLM and Copilot solutions within a high-impact AI Foundry environment. This … retrieval augmented generation), vector databases, embeddings and Azure AI services. Key Responsibilities Design and develop LLM-powered applications, AI agents and Copilot solutions Build and optimise RAG pipelines, embeddings and vector search Integrate AI solutions with enterprise systems, APIs and cloud platforms (Azure ...

Senior AI Engineer Sheffield - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‐driven … role, you will: • Design, build and operate AI‐first products that deliver measurable value. • Develop and deploy production‐grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs. • Build and maintain robust evaluation and monitoring frameworks, including online ...

PRINCIPAL AI ENGINEER Up to £90,000 + BENEFITS SHEFFIELD (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows … chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build and operate production-ready AI agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A/B testing and performance ...

Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning … performance, evaluate model choices, run structured behavioural testing and interpret model outputs to inform safe and effective deployment. Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies, and the ability to translate them into practical safeguards. Strong understanding of cloud-native AI ...

Platforms and the associated to develop the Practice. Automating model deployment and version control Monitoring inference cost, latency, and drift Integrating AI agents into production environments safely Observability and rollback systems. ...

development, moving beyond just using AI tools to actively building with them. You'll gain hands-on experience with agentic AI frameworks to create intelligent systems that drive optimisations across every element of our newly expanded group. Key Responsibilities · Build a Unified Future: Develop, test … Jaywing & Stubben Edge Advantage · Become an AI Practitioner: Move beyond theory. This role offers practical, career-defining experience with agentic AI frameworks—one of the most sought-after specialisms in technology today. · A Unique Career Trajectory: Be at the forefront of a rare industry convergence. ...

business strategy and Google Cloud Technology Our client is looking for an ambitious Cloud Solutions Engineer to be the delivery engine behind their AI Navigator' solution. In this role, you will lead consultancy engagements, helping their customers move from AI curiosity to a concrete, high-value … roadmap. You will be supported directly by the AI Innovation Lead for strategy and the Professional Services team for technical execution. When you aren't delivering AI Navigators, you will operate as a crucial technical pre-sales resource, supporting their commercial team with discovery calls, value ...

construct the foundations and generic capabilities which will need to be delivered for all engineeirng teams in order to achieve sustainable agentic ai support within the LBG Platform 4.0 SDLCcontext. 1.By definition an experienced architect/engineer who understands how to construct and integrate hybrid agenticworkflows and toolchains … including local agents, SLM/Vector DB's, MCP/RAG/fine-tuning models. 1.Solid engineering experience with CoPilot/Agentic tools (Github CoPilot preferred), across moden cloud native engineering (GCP preferred), with solid grounding in all steps of the process from requirements, design, build, test, deploy ...

Full Stack development with AI & Data Engineering expertise Strong experience in Google Cloud Platform (Vertex AI, BigQuery, GKE) Infrastructure as Code using Terraform Proficiency in Python, Java, and ReactJS Experience with frameworks: Quarkus (Java) and Google Agent Development Kit (Python ...

world’s most recognisable brands to reduce human cyber risk using AI-driven automation — and we’re now launching Agentic AI to take this to the next level. As part of our UK direct sales expansion, we’re hiring commercially sharp, execution-focused Account Executives … proposal and closing stages Collaborate with Customer Success to ensure POV/POC success and clear value alignment Sell value, not features — translating AI-driven human risk management into ROI, risk reduction, and compliance outcomes Engage confidently with CISOs, Security Directors, and Risk leaders Maintain strong CRM discipline ...

construct the foundations and generic capabilities which will need to be delivered for all engineeirng teams in order to achieve sustainable agentic ai support within the LBG Platform 4.0 SDLCcontext. 1.By definition an experienced architect/engineer who understands how to construct and integrate hybrid agenticworkflow click apply ...