Comptable Technique Assurance (H / F)

Velocity Tech has partnered with an exciting tech company in Europe who are looking for a Senior MLOps Engineer on a contract basis.

This role is fully remote across Europe and will last for a minimum of 6 months with a high chance of extending after.

Key Qualifications :

• Proven experience as an MLOps Engineer or a similar role in machine learning and software engineering.
• Strong programming skills in Python (or equivalent), with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerisation technologies (Docker, Kubernetes).
• In-depth understanding of CI / CD pipelines, version control (Git), and automation tools.
• Proficiency with ML lifecycle tools such as MLflow, Kubeflow, or SageMaker.
• Solid understanding of data engineering principles, including ETL pipelines and data versioning.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.

Preferred Qualifications :

• Experience with infrastructure-as-code tools like Terraform or Ansible.
• Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Familiarity with distributed computing frameworks (e.g., Spark, Dask).
• Previous experience working in a remote, distributed team environment.
• Master's or PhD in Computer Science, Machine Learning, or a related field.