13 of 13 Remote/Hybrid Kubeflow Jobs in the UK

. Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure ...

APIs, scripts and CI/CD automationWorking knowledge of modern MLOps stacks including experiment tracking and artifact managementHands-on experience with orchestration tools (e.g., Kubeflow, Apache Airflow, Metaflow or Prefect)Demonstrated skills with Docker, Kubernetes and distributed deploymentsPractical knowledge of Infrastructure-as-Code (Terraform) and a major cloud provider ...

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). ...

systems or multi-modal perception.C++ development.CUDA and GPU optimisation.TensorRT, ONNX Runtime, OpenVINO or similar inference-optimisation technologies.NVIDIA Jetson or other edge-AI platforms.Docker, Kubernetes, Kubeflow or production MLOps pipelines.Distributed training or large-scale model optimisation.Synthetic-data generation, Unreal Engine or NVIDIA Omniverse.Aerial, satellite, drone or ISR imagery.Sensor fusion, autonomy ...

C++ development. CUDA and GPU optimisation. TensorRT, ONNX Runtime, OpenVINO or similar inference-optimisation technologies. NVIDIA Jetson or other edge-AI platforms. Docker, Kubernetes, Kubeflow or production MLOps pipelines. Distributed training or large-scale model optimisation. Synthetic-data generation, Unreal Engine or NVIDIA Omniverse. Aerial, satellite, drone or ISR imagery. ...

tracking, segmentation or pose 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 or national security projects.An ...

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 ...

solutions. Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes/Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies. Build business cases, TCO and unit-economics models (cost per token, cost per training … knowledge of the AI software and orchestration stack: CUDA, cuDNN, NCCL, ROCm, Triton Inference Server, NIM, vLLM, TensorRT-LLM, Slurm, Kubernetes (with GPU Operator), Kubeflow, Run:ai, MLflow and NVIDIA AI Enterprise. Familiarity with datacenter facilities engineering for AI workloads: high-density power, liquid cooling (DLC, rear-door, immersion ...

Who are we Tripledot Studios is one of the largest independent mobile games companies in the world.We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.Our expanded portfolio ...

Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our ...