Machine Learning Jobs in Remote

140,477 open positions · Updated daily

Looking for Machine Learning jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Remote area.

VP of Global Business Development and Inside Sales

Company: Pluralsight

Location: Remote

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Data Engineer (Azure Data Platform Cloud Services)

Company: Avanade

Location: Remote

Posted Feb 03, 2025

View Details Apply on The Muse

Consultant, Product Research, Property & Specialty UW

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Feb 03, 2025

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Commercial Named Account Executive

Company: Yubico

Location: Remote

Posted Feb 03, 2025

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Unified Systems Operator

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Feb 03, 2025

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Senior Area Sales Manager - Named Accounts

Company: GitLab

Location: Remote

Posted Feb 03, 2025

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Manager, Software Engineering, Full Stack - Capital One Software (Remote)

Company: Capital One

Location: Richmond, VA / Remote

Posted Feb 03, 2025

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Senior Software Engineer I

Company: Splice

Location: Remote

Posted Feb 03, 2025

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Strategic Account Executive - Upper Midwest/Midwest

Company: Ansys

Location: Milwaukee, WI / Remote

Posted Feb 03, 2025

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Liability Determination Adjuster - Remote (MST/PST)

Company: Allstate

Location: Remote

Posted Feb 03, 2025

View Details Apply on The Muse

Customer Enterprise Architect

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Feb 03, 2025

View Details Apply on The Muse
Senior Manager Omni Business Analytics business analytics and insights initiatives continuous improvement projects in eCommerce analytics

Senior Manager, Omni Business Analytics

Company: Kraft Heinz

Location: Remote

Posted Feb 03, 2025

The Senior Manager Omni Business Analytics will lead business analytics and insights initiatives, providing crossfunctional teams with end-to-end business-critical insights. This role involves leading continuous improvement projects in eCommerce analytics, analyzing business health performance, and developing advanced analytics products. The ideal candidate should have a Bachelor's degree in Analytics, Data Science, Strategy, or a related field, with 5+ years of proven experience in Data Science, Analytics, Strategy, or a related field. Consumer packaged goods experience is preferred. Strong communication, project management, and collaboration skills are required.

View Details Apply on BuiltIn

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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