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.

Senior AI/ML Software Engineer

Company: The Predictive Index

Location: Westwood, MA / Remote

Posted Jan 24, 2025

Senior IT Architect

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 24, 2025

Kyndryl is seeking an Infrastructure Architect for a technical leadership role. The role involves understanding client needs, designing solutions, and leading implementation. The position offers opportunities for growth, learning, and certifications. Kyndryl values diversity and inclusivity, providing state-of-the-art resources and benefits. The ideal candidate should have a growth mindset, customer focus, and excellent communication skills.

Android Instructor - Contract 1099 - Part Time / Flexible

Company: CDW

Location: Remote

Posted Jan 24, 2025

CDW, a Fortune 200 leader, is seeking a skilled cyber instructor to create, maintain, and deliver courses in virtualized environments. The instructor will empower students to develop and validate their cyber skills, creating immediate job opportunities. The role requires a strong background in Android software development, reverse engineering malware, and proficiency in C, Python, Perl, or Java. The instructor will also need to set up and configure lab equipment, including laptops and Android phones. CDW offers a culture that values diverse perspectives, empowering leadership, and strong relationships among team members.

Direct Tax Manager

Company: CDW

Location: Remote

Posted Jan 24, 2025

CDW, a Fortune 200 leader, is seeking a Direct Tax Manager to lead a team of tax professionals in managing US income tax compliance, audits, planning, forecasting, and accounting processes. The role involves proposing strategies to reduce corporate tax burden, managing global tax compliance calendar, and providing performance management to team members. The ideal candidate should have a Bachelor's degree, 5+ years of relevant tax experience, strong knowledge of ASC 740, and excellent communication skills. CDW values collaboration, inclusivity, and professional growth, offering a life in balance and opportunities for significant impact on organizational success.

AR Consultant

Company: CDW

Location: Remote

Posted Jan 24, 2025

AR Consultant

Company: CDW

Location: Remote

Posted Jan 24, 2025

Head of Marketing

Company: Sealed, Inc

Location: Remote

Posted Jan 24, 2025

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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