Machine Learning Engineer

🕒 July 27

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OnHires

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.

📋 Description

• Build core ML systems powering a proactive, long‑horizon AI product. • Own the full lifecycle: data preparation, training, evaluation, inference, iteration. • Turn research ideas into production systems that run reliably. • Debug model failures and system issues using real production signals. • Ship quickly, measure outcomes, refine, and repeat. • Collaborate closely with research, product, and engineering teams. • Mentor and review work from other ML engineers. • Work under real production constraints: latency, cost, reliability, safety.

🎯 Requirements

• Experience building and shipping ML systems used by real users. • Strong understanding of how modern ML models behave — and misbehave — in production. • Ability to write production‑quality code and think in systems, not scripts. • Independent ownership: driving work across the finish line. • Fast learner, clear communicator, iterative mindset.