Senior ML Engineer: Global Research Framework Lead

Harnham; Amsterdam; On-site; EUR 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary with performance-related bonuses

Opportunity to work in a highly innovative environment

Flexible working arrangements

Job summary

A global proprietary trading firm in Amsterdam is seeking a Senior Machine Learning Engineer to develop a research framework that drives trading strategies. The role involves leading model training and deployment while collaborating with quantitative researchers. Candidates should have a Master's or PhD and at least 5 years of MLOps experience, with strong Python skills. The position offers a competitive salary and an innovative working culture.

Qualifications

• 5+ years of hands-on experience in MLOps or research engineering.
• Proven experience designing and deploying end-to-end ML pipelines.
• Experience with modern cloud platforms (AWS, GCP, Azure).

Responsibilities

• Lead the development of a research framework for model training and deployment.
• Build tools for testing hypotheses and refining data-driven trading strategies.
• Deploy and train ML models.

Skills

Expert in Python

ML libraries (TensorFlow, PyTorch, scikit-learn)

Experience with RESTful APIs

Hands-on experience in MLOps

Strong understanding of Agile practices

Education

Master’s or PhD in a relevant quantitative or technical field

Tools

Docker

Kubernetes

Big Data frameworks (Spark, Dask, Ray)

Job description

A global proprietary trading firm in Amsterdam is seeking a Senior Machine Learning Engineer to develop a research framework that drives trading strategies. The role involves leading model training and deployment while collaborating with quantitative researchers. Candidates should have a Master's or PhD and at least 5 years of MLOps experience, with strong Python skills. The position offers a competitive salary and an innovative working culture.