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