Machine Learning Engineer

We're Hiring:

Role: MLOps Engineer

Duration: 6 Months (Plus possible extension)

Location: London, UK (Hybrid)

Experience: 5+ Years

We are looking for an experienced MLOps Engineer to join a growing ML Engineering team and drive the deployment, monitoring, and optimization of machine learning solutions in production. The ideal candidate will have strong expertise in GCP Vertex AI , Python development, cloud infrastructure, and MLOps best practices.

Key Skills & Experience

• 5+ years of experience in Machine Learning Engineering/MLOps.
• Strong hands-on experience with GCP Vertex AI (essential); Azure experience is a plus.
• Expertise in Python , Flask/FastAPI, OOP, unit testing, and software engineering best practices.
• Experience with CI/CD pipelines , Docker, Terraform/IaC, Git, and cloud platforms (GCP/AWS/Azure).
• Proven experience deploying, monitoring, and maintaining ML models in production environments.
• Strong understanding of ML lifecycle management, model monitoring, model registries, and automation.
• Experience working in Agile environments and collaborating with Data Scientists, Data Engineers, and Platform Teams.
• Leadership or mentoring experience is highly desirable.

Key Responsibilities

• Build and maintain scalable ML infrastructure and deployment pipelines.
• Develop APIs for model serving and integration with enterprise applications.
• Design and implement automated ML workflows covering training, deployment, monitoring, and retraining.
• Ensure reliability, performance, and scalability of cloud-based ML services.
• Drive MLOps best practices and support the transition from PoC to production-grade ML platforms.
• Mentor engineers and contribute to technical leadership within the team.

Nice to Have

• Experience in Financial Services or Insurance domains.
• Exposure to regulated environments.
• Azure ML and advanced cloud architecture experience.

If you're interested, please share your updated CV on aknair@redglobal.com