4 of 4 Remote/Hybrid Machine Learning Jobs in Oxfordshire

Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Produce flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Provide dedicated support to scientific research Liaise closely with … Hydrology, Environmental Science, or a cognate discipline Demonstrable experience of coding, with particular familiarity with Python and/or R Considerable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-based environmental science role Confident ability ...

with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days in office Salary ...

Month Contract with scope to extend Please apply for the 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 … automation at scale. Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment Implement, andmaintainmulti-account, multi-region AWS environments usingIaC(Terraform, Helm, CloudFormation). ManageKubernetes clusters (EKS/OpenShift), service meshes ...

APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security, and governance. Provide input on data architecture. Qualifications 5+ years of experience in data engineering, including significant experience … Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models ...