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.

Mainframe z/OS System Administration

Company: Kyndryl

Location: Gurgaon, India / Remote

Posted Jan 24, 2025

Kyndryl is a company that designs, builds, manages, and modernizes mission-critical technology systems. They are committed to creating a more equitable, inclusive world. The Infrastructure Specialist role involves contributing to current projects, analyzing problems, offering solutions, and long-range strategic planning of IT infrastructure. This role requires 5+ years of experience in z/OS System Administration and hands-on expertise in various z/OS components. Kyndryl offers opportunities for growth, continuous learning, and a supportive work environment.

Workers Compensation Claims Technician - West Region

Company: Liberty Mutual Insurance

Location: Las Vegas, NV / Remote

Posted Jan 24, 2025

Liberty Mutual Insurance is seeking a Workers' Compensation Claims Technician with at least 3 years of experience. The role involves conducting investigations, setting up claims, determining the need for independent adjusters, evaluating claims for potential fraud, and negotiating settlements. The company offers a competitive salary range, benefits, and opportunities for growth. Candidates must reside within 50 miles of specified locations or be eligible for 100% remote work in California. Liberty Mutual values diversity, integrity, and hard work, providing a supportive work environment.

Technical Support Engineer I (Contractor)

Company: Nylas

Location: Remote

Posted Jan 24, 2025

Nylas, a company specializing in APIs for email, calendar, and contact management features, is seeking a Technical Support Engineer I (Contractor). The role involves troubleshooting technical issues, collaborating with engineering, creating customer-facing documentation, and partnering with go-to-market teams. The ideal candidate should have 1-3 years of technical support experience, proficiency in at least one programming language, strong problem-solving skills, customer empathy, excellent communication abilities, adaptability, and a detail-oriented approach. The interview process includes three rounds: a 60-minute Google Meet with the Hiring Manager, a take-home assignment followed by a 60-minute meeting with a team member, and another 60-minute Google Meet with another team member.

Sports Content Coach

Company: GANNETT

Location: Evansville, IN / Remote

Posted Jan 24, 2025

The Center for Community Journalism (CCJ), part of the USA TODAY Network, is recruiting a Sports Content Coach. The ideal candidate should be an experienced journalist capable of editing copy, coaching writers, and managing sports journalists. The CCJ comprises over 100 medium- and small-sized newspapers and websites across the US, covering local sports from high school to major conference levels. The role involves leading a team of writers, managing them, teaching time management, and identifying winning story ideas. The position is remote, except for Alaska, Hawaii, or USA TODAY headquarters in McLean, Va. Requirements include a bachelor's degree in communications, journalism, or related field, at least 3 years of news organization experience, strong news judgment, communication skills, and the ability to work in a fast-paced environment. The annualized base salary ranges from $51,300 to $62,500.

Financial Crime Risk Oversight Specialist (US)

Company: TD Bank

Location: Remote

Posted Jan 24, 2025

TD, a leading global financial institution, is seeking a Financial Crime Risk Oversight Specialist for a role in New York, New York. The role involves providing expert guidance and oversight for AML/ATF/Sanctions/ABAC compliance programs. TD offers competitive compensation, growth opportunities, and a comprehensive Total Rewards package. The company is committed to customer experience, colleague development, and diversity. The job description highlights the importance of the role, the company's reputation, and its commitment to supporting colleagues' career growth.

Cyber Security Advisor

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 24, 2025

Kyndryl is seeking a security engineer to work in the SOC (Security Operation Center). The role involves completing proposal, implementation, and operation phases of small and medium-sized projects in SOC solutions. The candidate should have a customer-oriented mindset, leadership skills, and be able to communicate effectively. At least 5 years of experience in a specific security area is required, along with business level Japanese N1 and English. Kyndryl values diversity and inclusivity, offering opportunities for growth and innovation with state-of-the-art resources and Fortune 100 clients.

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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