4 of 4 Remote/Hybrid Kubeflow Jobs in the UK

MLE- Machine Learning Engineer

Hiring Organisation
Sanderson Recruitment
Location
London, United Kingdom
Employment Type
Contract
Contract Rate
£700 - £750 per day
. Optimise Python performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience with Kubeflow , Airflow , or dbt . Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with ...

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 ...

Machine Learning Engineer

Hiring Organisation
Sanderson Recruitment
Location
London, United Kingdom
Employment Type
Contract, Work From Home
Contract Rate
£700 - £750 per day
Machine Learning Engineer. Technical 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 ...

Senior Software Engineer 2

Hiring Organisation
Aioi Nissay Dowa Europe
Location
OX2, Oxford, Oxfordshire, United Kingdom
Employment Type
Contract
Contract Rate
£91332 - £109392/annum
equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: 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. Knowledgeable on engineering best practices and comfortable with ...