Senior Machine Learning Engineer (Mlops / Platform) - Contract

Signify Holding
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Continuous Integration
Python
Machine Learning
Machine Learning Operations

Job description

Signify has partnered with a key client who is looking for aSenior Machine Learning Engineerto work with aproduct-led tech company, building and scaling acore AI & ML platformused across customer-facing products. Contract Details 12 Months contract Europe (remote-friendly) Rate ~€550 + Start ASAP 2 Stage interview process with slots next week You'll join a small senior team that owns high-impact ML platform initiatives and enables Data Scientists and AI Engineers to take models from development to production at scale. What You'll Do Own the end-to-end ML lifecycle (CI/CD, deployment, monitoring, retraining) Build and scale production ML systems (real-time & batch) Design ML infrastructure on AWS (Python-first) Implement monitoring, drift detection, and model lineage Work closely with Data Scientists & Data Engineers

Requirements

Senior experience as a Machine Learning Engineer (strong MLOps focus) Solid understanding of ML systems design & lifecycle Comfortable working across data and engineering teams Data science background is a plus GenAI experience nice to have, not essential

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