6 of 6 Remote/Hybrid Machine Learning Jobs in Oxfordshire

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with … DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks ...

build predictive models, and partner with cross-functional stakeholders to drive strategic decision-making. You will work with large datasets, apply advanced statistical and machine learning techniques, and help shape data-driven initiatives across the organization. Key Responsibilities Collect, clean, and analyze structured and unstructured datasets from multiple … sources Develop and deploy predictive models and machine learning algorithms Design and conduct experiments (A/B testing, hypothesis testing) to inform product and business decisions Build data pipelines and automate workflows in collaboration with data engineering teams Communicate insights and recommendations clearly to technical and non-technical ...

build will directly support research programmes contributing to novel treatments entering clinical trials. You will play a key role in making sophisticated AI and ML capabilities accessible to scientists working on high impact challenges. The Environment You will join a collaborative and technically strong team at the intersection ...

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 ...

CUDA-based algorithms Improve memory management and host–device data transfer Enhance multi-GPU performance and throughput Profile and tune GPU applications Contribute to ML model deployment within C++ systems Support hardware configuration and performance decisions This is a hands-on opportunity to directly influence speed, efficiency, and scalability. About … knowledge Passion for optimisation and low-level performance tuning Comfortable working in hardware-aware or real-time environments Experience in streaming, imaging, simulation, or ML deployment is a bonus. What’s On Offer Competitive salary + 10% pension 25 days holiday + bank holidays Private medical cover Hybrid working Long ...