Machine Learning Jobs in Remote

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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.

Network Specialist - Enterprise Networking( SDWAN - CISCO & PRISMA)

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 24, 2025

Kyndryl is seeking a Network Services Specialist Engineer with extensive experience in Data Center & Campus network, SD-WAN, and SDN offerings. The role involves designing, implementing, and managing network infrastructure, ensuring robust network performance, and supporting virtual private network secure communications. The successful candidate will work with multi-vendor hardware and operating systems, troubleshoot network issues, and collaborate with team members and other IT organizations. Kyndryl offers opportunities for professional growth, training programs, and working on cutting-edge projects involving new wireless and 5G technologies.

Manager, Paid Social

Company: Just Global

Location: Remote

Posted Jan 24, 2025

Just Global is a B2B focused company that specializes in igniting relationships through deep technical knowledge, unique market perspectives, and leveraging technology. The Manager Paid Social is accountable for managing paid social strategy, optimization, and execution across all in-house platforms. This role involves holistic ownership of client accounts, including strategy planning, budgeting, and reporting. The Manager Paid Social is also responsible for troubleshooting issues, communicating with clients and internal teams, and maintaining quality control. The ideal candidate should have agency knowledge, B2B marketing experience, and proficiency in ad platforms like LinkedIn, Meta, Twitter, and analytics platforms like Google Analytics and Adobe Analytics.

GCP Auditor

Company: RQM+

Location: Remote

Posted Jan 24, 2025

RQM+ is seeking a seasoned Medical Device lead auditor with over 10 years of experience in the Clinical Research industry, specifically in Medical Devices. The candidate must be proficient in Good Clinical Practice, including 21 CFR, ISO14155, ICH GCP, and have expertise in FDA BIMO Audit expectations and ISO20916, EU IVDR. The role involves project management, audit planning, execution, and report issuance. The candidate will also identify opportunities for RQM+ to provide additional support, mentor junior auditors, and maintain training in new regulations. This is a client-facing role requiring strong communication skills, integrity, and the ability to handle challenging situations with diplomacy. RQM+ values its employees, offering a competitive compensation package and a focus on work-life balance.

Underwriting Support Manager

Company: Liberty Mutual Insurance

Location: Seattle, WA / Remote

Posted Jan 24, 2025

Liberty Mutual is seeking a manager for Surety National Accounts and Subcontract Default Insurance (SDI) Underwriting Support. The role involves managing a team of Underwriting Assistants and Bond Support Specialists, handling policy issuance, bond registration, and contract/commercial bond requests. The manager will also develop and monitor operating and quality standards, ensure compliance with regulatory requirements, and drive consistency throughout the organization. The candidate should have a Bachelor's degree, 5+ years of management experience, and strong communication skills. Liberty Mutual offers a competitive salary range, opportunities for growth, and a supportive work environment.

Senior Toxicologist

Company: RQM+

Location: Remote

Posted Jan 24, 2025

RQM+ is a leading MedTech service provider with a global team of regulatory and quality experts. They offer comprehensive services including clinical trials, lab services, and reimbursement services, supporting market access for medical devices, digital therapeutics, and diagnostics. The company has deep expertise in all clinical specialties and works with top medical device manufacturers. The Toxicologist position involves technical support for toxicological risk assessment, biological evaluation, and regulatory compliance. Requirements include a degree in Toxicology, technical writing experience, and knowledge of US FDA and European regulations. RQM+ values its employees, offering a rewarding work environment with a focus on work-life balance.

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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