Machine Learning Manager Jobs
Machine Learning Manager jobs are open across technology, healthcare, financial services, and e-commerce, from senior individual contributor to director level, with specializations in natural language processing, computer vision, and applied research. Find a role that fits from the openings below and apply directly.
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A growing AI and Data Science team at a healthcare-focused company is looking for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML initiatives. This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll work in a fast-paced environment building production-grade ML solutions that directly impact patient outcomes and healthcare operations — with a strong emphasis on compliance, reliability, and end-to-end ownership.
Ideal candidates bring 8+ years of professional ML engineering experience and a mandatory background in the healthcare industry, including hands-on experience with HIPAA-compliant systems and sensitive patient data.
What You'll Do
Own the full ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and maintenance.
Design and build scalable, production-ready ML systems with high availability, performance, and reliability.
Develop and maintain MLOps pipelines — including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies.
Monitor production models for drift (model, data, accuracy degradation) and overall system health.
Build and integrate REST APIs to connect ML services into enterprise cloud applications.
Optimize models for latency, scalability, reliability, and operational cost.
Provide technical leadership on AI/ML initiatives across the organization.
Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders.
Ensure strict compliance with HIPAA, PHI, PII, and enterprise security standards throughout all ML workflows.
What We're Looking For
Required — Dealbreakers:
8+ years of professional software engineering and machine learning experience.
Healthcare domain experience is mandatory — including HIPAA compliance and handling of sensitive patient data (PHI/PII).
Demonstrated ownership of end-t...
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Machine Learning Manager Jobs by Experience Level
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Who's Hiring
- Apple235
- GEICO42
- Google30
- JPMorganChase30
- Amazon Web Services30
Top Industries Hiring
- Technology & Software288
- Electronics & Hardware187
- Banking & Financial Services47
- Insurance44
- Consulting & Professional Services40
What Employers Look For
The qualifications that appear most often in machine learning manager jobs.
- 5+ years of machine learning experience with at least 2 years managing or leading teams
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience taking machine learning models from prototype to production at scale
- Strong cross-functional collaboration skills with product, engineering, and data teams
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD pipelines
- Graduate degree in computer science, statistics, mathematics, or a closely related field
Tips for Your Machine Learning Manager Job Search
Quantify model impact on your resume
Machine learning manager resumes stall when they list tools instead of outcomes. Replace 'managed NLP models' with the latency reduction, accuracy lift, or revenue impact your team's models delivered. Hiring managers compare you on measurable results, not tech stacks.
Apply early to roles that fit
Migrate Mate lists machine learning manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by research versus product focus
A machine learning manager role at a research lab expects publications and grant experience, while a product-focused company wants shipped models and cross-functional delivery. Read job descriptions for phrases like 'production systems' or 'state of the art' to target your applications correctly.
Prepare a technical leadership narrative
Interviews will probe how you balance coding depth with people management. Prepare two or three stories where you made a concrete architectural decision, explained the trade-offs to non-technical stakeholders, and coached an engineer through a technical challenge.
Negotiate using scope, not just title
Before accepting an offer, clarify team size, compute budget, and roadmap ownership. A machine learning manager with a three-person team and no GPU budget has a different career trajectory than one owning a ten-person org. Scope shapes your next move more than title does.
Follow up with a technical insight
After a final-round interview, send a follow-up that references a specific problem from the conversation and proposes a brief framing or approach. It demonstrates the research and systems thinking that separates machine learning manager candidates from individual contributors.
Machine Learning Manager Jobs: Frequently Asked Questions
Which companies are hiring the most machine learning managers?
The companies hiring the most machine learning managers right now include Apple, GEICO, and Google, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in companies with large-scale data infrastructure and active model deployment programs.
How many machine learning manager jobs are remote?
About 53% of machine learning manager openings are fully remote or hybrid as of August 2026, making it one of the more flexible senior technical roles available. Applied research and platform infrastructure sub-areas tend to have the highest share of fully remote positions, while roles tied to on-site hardware or real-time systems more often require in-person presence.
How do you become a machine learning manager?
Start by building a strong record as a machine learning engineer or research scientist, then take on informal leadership by mentoring junior teammates and owning a project end to end. Transition into a formal lead or tech lead role to gain people management exposure. Demonstrate business impact through shipped models, then make the case for a manager title with evidence of team development and cross-functional delivery.
Can you get a machine learning manager job without direct management experience?
Yes, many companies hire senior machine learning engineers into their first manager role when those engineers have led projects, mentored colleagues, and collaborated across teams. Framing your resume around influence, decision-making, and team outcomes rather than individual model work is what moves your application from the individual contributor pile into manager consideration.
What does the machine learning manager interview process look like?
The process typically opens with a recruiter screen covering background and role fit, followed by a technical interview that tests machine learning fundamentals and system design for production ML pipelines. A separate round focuses on people management scenarios and cross-functional communication. Final rounds often include a presentation to leadership covering a past project, a proposed roadmap, or a take-home case study on a relevant modeling problem.
Where can I find and apply to machine learning manager jobs?
You can find and apply to machine learning manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and experience level, then apply directly to each one that fits.
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