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 Manager, Global Customer References

Company: ServiceNow

Location: Addison, TX / Remote

Posted Jan 23, 2025

Quality Engineer II

Company: AppFolio

Location: Remote

Posted Jan 23, 2025

Enterprise Architect

Company: Kyndryl

Location: London, United Kingdom / Remote

Posted Jan 23, 2025

Kyndryl is seeking an innovative Enterprise Architect to join their team. The role involves working with global companies to align their business needs with IT strategy, using architectural models and views. The ideal candidate should have 5+ years of Enterprise Architecture experience, 10+ years of Solution Architecture background, strong commercial acumen, and knowledge of TOGAF or Zachman framework. They should be able to communicate effectively, influence customers, and have a growth mindset. Kyndryl offers opportunities for career growth, diverse work environment, and comprehensive benefits.

Executive Account Manager (Remote)

Company: MedCerts

Location: Remote

Posted Jan 23, 2025

The Executive Account Manager (EAM) role involves overseeing a west coast territory, building and executing strategic joint business plans, and establishing long-term partnerships with clients. The EAM will be responsible for identifying new opportunities for experiential learning and employment, developing growth strategies, and maintaining accurate client records. The role requires a self-starter with a Bachelor's degree, previous experience in recruitment, healthcare business development, or sales, and strong communication and collaboration skills. The position is currently remote, working during normal business hours.

R&D Engineer II - Deep Learning in Quantum

Company: Ansys

Location: Atlanta, GA / Remote

Posted Jan 23, 2025

Ansys, a leading company in simulation software, is seeking an R&D Engineer II. The role involves researching and prototyping deep learning tools to improve quantum algorithms, building datasets, collaborating with product engineering teams, and publishing research outcomes. The ideal candidate should have a BS in Engineering or related field, experience with deep learning or QMLs, and expertise in C++ or Python. A Master's or PhD with software development and generative AI experience is preferred. Ansys values innovation, integrity, and employee success, fostering a diverse and inclusive work environment.

Principal Product Manager

Company: Swiftly

Location: Remote

Posted Jan 23, 2025

Swiftly is a leading provider of technology and solutions for retailers worldwide, offering a best-in-class platform that empowers retailers to grow sales and build loyalty. The company is seeking a Principal Product Manager to lead admin and portal initiatives, responsible for creating the roadmap and long-term strategy for their mobile web and self-service platform offerings. The ideal candidate will have 5+ years of experience in engineering or product management, proven ability to influence cross-functional teams, and a deep understanding of the platform's role in supporting customer-facing features and developer needs.

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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