Machine Learning / MLOps Engineer (ML Engineer II)
UST Global Inc
Machine Learning / MLOps Engineer – UK (Hybrid)
London/ Leeds
Contractor Inside IR35 / FTE | Hybrid (Mostly remote with occasional office visits)
UST is hiring a Machine Learning/ MLOps Engineer to join our growing UK-based team in either London/ Leeds, who work on cutting-edge machine learning projects using the latest MLOps tools and cloud platforms (GCP & AWS).
The Role:
Build and deploy ML models using TensorFlow, PyTorch, Scikit-learn, XGBoost, and more. Automate ML pipelines with Kubeflow, MLflow, Vertex AI, or SageMaker. Work with Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins, etc.). Monitor and improve model performance in production environments. Collaborate with data scientists, engineers, and product teams to deliver impactful solutions.
What You’ll Bring:
Minimum of 5 years of experience in ML/MLOps roles. Strong skills in Python, containerization, and cloud deployment (GCP/AWS). Experience in version control, unit testing (pytest), and model lifecycle management. Great communication and problem-solving skills.
Nice to Have:
Cloud certifications (AWS/GCP). Experience with big data tools. Understanding of data privacy and compliance (e.g. GDPR).
Hurry and apply!
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