Senior Machine Learning Engineer / MLOps Engineer (GCP)

Summary: The role of Senior Machine Learning Engineer / MLOps Engineer focuses on candidates with extensive experience in production-level machine learning engineering, particularly in developing scalable and high-performance ML systems on Google Cloud Platform (GCP). The position requires strong hands-on skills in MLOps and ML architecture, along with effective communication abilities. Candidates should be prepared to work onsite three days a week in Amstelveen. Proficiency in English is required, with Dutch being preferred.

Key Responsibilities:

• Develop and maintain end-to-end ML pipelines, including CI/CD and monitoring.
• Implement scalable and reusable ML solutions in production environments.
• Collaborate effectively with team members and stakeholders.
• Utilize GCP for building and deploying ML systems.
• Design ML architecture that meets production requirements.

Key Skills:

• Solid experience in MLOps / ML Engineering.
• Strong hands-on experience with GCP.
• Experience with ML architecture in production environments.
• Ability to design scalable, reusable solutions.
• Experience with Azure or AWS is a plus.
• Strong communication skills.
• English required, Dutch preferred.

Salary (Rate): £64.50 hourly

City: Amstelveen

Country: Netherlands

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Urgent Request: Senior Machine Learning Engineer / MLOps Engineer (GCP)

We are looking for strong candidates with proven experience in production-level ML engineering, focused on building scalable, high-performance ML systems in the cloud.

Key requirements

• Solid experience in MLOps / ML Engineering (end-to-end pipelines, CI/CD, monitoring)
• Strong hands-on experience with GCP (mandatory)
• Experience with ML architecture in production environments
• Ability to design scalable, reusable solutions
• Azure or AWS experience is a plus
• Strong communication skills
• English required, Dutch preferred

Details

• Location: Amstelveen
• 3 days onsite per week

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