7 of 7 Remote/Hybrid Generative AI Jobs in the Thames Valley

Location: Oxford, hybrid preferred, though we'd consider fully remote for the right person. Oxfida (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer … professors and researchers alongside commercial partners, and combining that expertise with real-world risk data at global scale to turn frontier research into AI that actually ships rather than just gets published. Our work spans AI for insurance underwriting and claims, AI risk governance ...

AI Engineer Location: Hybrid, West London Salary: Competitive Overview Seeking an AI Engineer to build, deploy and support AI-powered stt applications and automation solutions, working closely with technical and business teams. Key Responsibilities Develop and maintain AI and automation solutions. Build … support LLM and generative AI applications. Create integrations, workflows and AI-driven processes. Optimise prompts, models and system performance. Deploy and maintain cloud-based services. Troubleshoot issues and improve reliability and accuracy. Required Experience Commercial software development experience. Strong skills in Python and/ ...

Must-Have Proven Production Experience: You have lived it, breathed it. Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. Strong Engineering … hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. Well explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence, and your ...

data science use cases from start to finish: problem framing, exploratory analysis, modelling, validation, implementation and monitoring Apply statistical modelling, machine learning and AI techniques to operational challenges using Python and SQL Build and evaluate predictive, forecasting, classification, optimisation or anomaly-detection models as appropriate Investigate operational performance … Operations Data Science roadmap by identifying and delivering high-value opportunities Work to established standards for data quality, model governance and responsible AI, with reproducible work and a clear audit trail What you’ll need Professional experience in a data science role, applying statistical or machine learning techniques ...

partnership with more experienced staff, their responsibilities will expand based on developing capabilities, including growing exposure to AI/ML and GenAI approaches. A key part of the role is collaborating with colleagues across Investment Technology & Distributions, Cloud Teams, and Tech departments including Enterprise Architecture to ensure designs … techniques where they add value to accelerate coding, testing, deployment and delivery. Contribute to opportunities to apply AI/ML and GenAI across the platform, translating defined business requirements into practical, well-engineered technical solutions. Build production-ready solutions using modern engineering practices, including CI/CD, automated ...

relay them to other technology teams for possible follow up actions through projects/BAU. The role will include the utilization of AI skills and tools … deemed appropriate to deliver on business requirements and will in some instances involve the build/maintenance of full AI solutions including GenAI Agents. Supporting the implementation of data mastering systems Reviewing data usage patterns to identify redundant or duplicated datasets that can be consolidated or retired Supporting ...

delivering the best customer experience. None of it would be possible without our innovative teams, creating a connected future with technologies like Cloud, AI and big data. What you'll do We're looking for someone who thrives on building resilient platforms, reducing operational complexity and helping engineering … regulated environment. Experience with Terraform or CloudFormation. Experience implementing SLOs, SLIs and reliability engineering practices. Experience with FinOps and cloud cost optimisation. Experience using GenAI tools such as GitHub Copilot, Microsoft Copilot or AI-assisted operational tooling. Experience building internal developer platforms and self-service capabilities. Worried that ...