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.

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Senior UX Copywriter

Company: Scribd

Location: Remote

Posted Jan 25, 2025

Scribd is seeking an experienced UX writer for a part-time contract role, with potential for growth into a full-time position. The role involves crafting compelling and clear copy for three brands: Ever, Scribd, and SlideShare. The ideal candidate will have 5+ years of professional UX writing experience, strong collaboration skills, and a customer-centric approach. The position offers flexibility, impact, and growth opportunities, along with a supportive and inclusive company culture.

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Azure Data Modeler

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 25, 2025

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Principal Reg Affairs Specialist

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 25, 2025

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Regional Sales Engineer (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

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Online Data Analyst - Telugu Speakers in India

Company: TELUS Digital

Location: Remote

Posted Jan 25, 2025

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Contract: Senior/Lead Kubernetes Engineer

Company: Upwork

Location: Remote

Posted Jan 25, 2025

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Technical Support Representative: Service Desk

Company: Kyndryl

Location: Alajuela, Costa Rica / Remote

Posted Jan 25, 2025

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Consultant or Assistant Director, Product Analysis, Umbrella

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 25, 2025

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Select Major Account Executive EST/CST - (San Antonio, TX)

Company: Samsara Inc.

Location: Remote

Posted Jan 25, 2025

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Director, R&D Change Management Communications

Company: Twilio

Location: Remote

Posted Jan 25, 2025

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Cust Svc Support Rep-11am-8pm EST Remote (Patient Customer Service)

Company: Labcorp

Location: Remote

Posted Jan 25, 2025

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award-winning products increase patient access decrease wait times

Product Designer (US Remote)

Company: LeanTaaS

Location: Remote

Posted Jan 25, 2025

LeanTaaS is a growth-stage company that provides software solutions to transform hospital and infusion center operations. They have raised over $300 million from top-tier investors and are recognized among the top 100 AI companies globally. They are currently hiring an experienced Product Designer for their Product Design team, focusing on the iQueue for Infusion Centers product. The role involves interaction design, research, design system contributions, transparency, and communication. The company offers competitive compensation, comprehensive benefits, and a supportive work environment.

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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