6 of 6 Remote/Hybrid Kubeflow Jobs in the UK

environments. Collaborate with Data Scientists and Engineers to productionise models. Improve platform scalability, reliability, and automation. Key Skills Strong Python experience. MLOps tooling (MLflow, Kubeflow, SageMaker, or similar). Docker and Kubernetes. CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps). Cloud platforms (AWS, Azure, or GCP). ...

agentic workflows Experience with Google Cloud Platform (Vertex AI, BigQuery) or an equivalent major cloud ML platform Familiarity with ML tooling such as MLflow, Kubeflow or SageMaker, plus Docker and Kubernetes Comfortable working in a fast-moving, resource-conscious environment where you learn on the job and scope can shift ...

estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government ...

commercially driven mindset. Desirable: Experience in ecommerce, digital marketplaces, pricing optimisation, recommendation engines or customer analytics. Exposure to BigQuery, Snowflake, dbt, Looker or Kubeflow would be advantageous. ...

Machine Learning Engineer Programming skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp ...

equivalent practical experience. Familiarity with our core stack, with strong experience in at least two of: Python, TypeScript, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, version control, containerisation, and cloud deployment. A solid grasp of engineering best practice, producing ...