4 of 4 Remote/Hybrid Kubeflow Jobs in the UK

MLOps Engineer

Hiring Organisation
EPAM Systems
Location
London, UK
Employment Type
Full-time
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 ...

Senior Computer Vision Engineer - Deep Learning

Hiring Organisation
MFK Recruitment
Location
TW8, Brentford, Greater London, United Kingdom
Employment Type
Permanent
Salary
£70000 - £95000/annum
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 ...

Senior Software Engineer 2

Hiring Organisation
Aioi Nissay Dowa Europe
Location
OX2, Oxford, Oxfordshire, United Kingdom
Employment Type
Permanent
Salary
£91332 - £109332/annum
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 ...

Senior Principal AI Infrastructure Architect

Hiring Organisation
The Nippon Telegraph And Telephone Corporation (NTT)
Location
United Kingdom, UK
Employment Type
Full-time
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 ...