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Data Analytics & AI Services
Lead Machine Learning Engineer
Remote Full-time 7-10 years Bachelor's Degree
Apply for this Position Position Overview
We are looking for a lead ML engineer to own a workstream and the engineers in it. You will decide what gets built as shared platform and what stays per-model, hold the gate on what reaches production, and remain the person who can fix the system when it breaks at the worst time.
Key Responsibilities
- Lead an ML engineering workstream: roadmap, sequencing, staffing, and delivery commitments.
- Own the production outcome for your models — reliability, latency, cost, and retraining cadence.
- Coach the engineers on your workstream and run their design and code review practice.
- Decide what becomes shared platform and what stays specific to one model, and defend the split.
- Stay hands-on for the hardest systems and the incidents that need your depth.
- Own the promotion gate: what evidence a model must produce before it is allowed to serve traffic.
- Agree priorities and interfaces with data science, data engineering, and product leads.
- Report progress, risk, and cost to leadership, and stop work that is not paying for itself.
Skills & Qualifications
- 7-10 years in machine learning engineering, including leading engineers.
- Expert ML systems design across training, serving, features, and monitoring.
- Operational depth with Kubernetes and Terraform on at least one major cloud.
- Ability to plan and sequence across several engineers and hard dependencies.
- Coaching experience and comfort with direct feedback.
- Reliability practice specific to ML: service objectives, rollback, and postmortems.
- The ability to make a cost-versus-quality trade-off and explain it to people who fund it.
Nice to Have
- Building an internal ML platform used by more than one team.
- GPU capacity planning and cost management.
- Multi-client delivery in a consulting setting.
- ML in regulated domains where audit trails and explainability are required.
What You'll Gain
- Competitive salary.
- Fully remote — work from wherever you're most productive.
- Annual learning budget for books, courses, and conferences.
- Top-tier hardware and software tooling.
- Private health insurance and flexible time off.
Apply for this Position
Send your CV and a short cover letter. We'll reply by email.
Apply for this Position