Velocity Tech are partnered with a fast-growing, innovative insurance startup based in London, aiming to revolutionize the insurance sector. The focus is on building smart, user-friendly digital products that make insurance more accessible and transparent. We blend technology and data insights to provide personalized insurance solutions for their customers.
Job Description:
We are looking for a skilled Machine Learning Engineer (MLOps) to join our dynamic tech team. In this role, you will be responsible for designing, developing, and maintaining our digital insurance platform.
Key Responsibilities:
- Implement and manage MLflow for model tracking, versioning, and deployment.
- Design and deploy cloud infrastructure using Terraform for scalable ML workflows.
- Build CI/CD pipelines for automated model deployment.
- Collaborate with cross-functional teams to integrate ML models into production environments.
- Monitor, optimize, and ensure reliable model performance in production.
Qualifications:
- Strong experience with MLflow and Terraform.
- Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI) for ML.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Solid Python skills and familiarity with infrastructure automation.
- Proven track record in MLOps or DevOps roles focused on machine learning.
This is a hybrid position - 1/2 days onsite per week.
If you are interested please apply 😊