7 of 7 AI Agents Jobs in Oxfordshire

problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such as model-based critiques, semantic accuracy benchmarks, and tool … powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built ...

Asycd's Research Lab is a rebellious, exploratory space where early-career AI enthusiasts collaborate on experimental projects in generative AI, prompt engineering, and agentic systems. We run in 3-month sprint cycles, selecting a small cohort of researchers to push boundaries, test ideas, and refine … job. It's a structured, educational research experience designed to empower curious minds and creative technologists. What You'll Explore AI Agents: Long‐term memory, self‐evaluating reasoning, personalized cognitive profiles, and autonomous discovery engines. Software Engineering for AI: Multimodal conversational systems, closed‐loop software ...

trading companies, reinsurance institutions and banks to help them compete in the age of AI through modernisation, enterprise data management, and agentic AI capabilities. As we continue to scale, we're expanding the team in the UK, bringing top talent on board at Principal, Director … Vice-President level. Your responsibilities Define our go-to-market approach for AI and Agentic AI solutions. Shape transformative solutions with customers—optimizing workflows, solving complex business problems, and enabling business model innovation. Lead initial delivery phases to establish technical excellence and set engagements ...

full details. Role Overview My client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than at least four agents. This role blends … tuning. Own backup, disaster recovery for services thatyou ' ve created. Cross-Functional & Process Collaborate closely with other engineers, productmanagersand CTO. Mentor engineers on agentic AI design best practices. Present technical findings and research outcomes to technical and non-technical stakeholders. You'll be working at the intersection ...

independently manage large projects Desirable Skills: * Familiarity with Full stack development including Vue3, Typescript and Django AWS EKS deployments Machine learning model development Agentic AI pipeline development Some understanding on mechanical design processes and tools, specifically FEA and CFD for aerothermal design. Including a basic understanding of turbo ...

design tools. Projects that interface with mechanical and thermal analysis tools like FEA and CFD. Opportunities to engage with technologies like machine learning, agentic AI pipelines, and full-stack frameworks. You’ll bring experience such as... A degree (2:1 or above) in Computer Science, Engineering, Physics … with AWS , particularly EKS deployments . Background in mechanical or aerothermal design – FEA, CFD, or turbomachinery principles. Exposure to machine learning pipelines or agentic AI systems . What’s In It for You? A chance to work on genuinely ground-breaking engineering projects. A collaborative environment with domain ...

fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will be involved in the entire … data for model training and deploy AI models into production workflows (batch or real-time). Nice to Have: Experience with agentic AI architectures, including agent orchestration and decision loops. Integration of agent-driven AI models into existing data pipelines. Knowledge of modern architectures ...