Machine Learning Jobs in Remote

140,526 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.

Actuary/Sr. ERM Consultant - Capital Modeling

Company: Liberty Mutual Insurance

Location: Remote

Posted Jan 23, 2025

Liberty Mutual's Global Risk Solutions (GRS) Capital & ERM group is seeking a highly motivated individual for its Capital Modeling group. The role involves designing, developing, and implementing dynamic financial analysis solutions. Responsibilities include updating capital model parameters, developing new solutions, and collaborating with various teams. Preferred qualifications include a degree in Mathematics, Actuarial Science, Statistics, Finance, or Economics, 5-7 years of relevant experience, strong analytical skills, and proficiency in MS Excel and coding. Liberty Mutual is a leading provider of commercial, specialty insurance, and reinsurance products, committed to fostering a diverse and inclusive workplace.

Technical Artist, Metaverse

Company: Meta

Location: Remote

Posted Jan 23, 2025

Personalized Internet Assessor Kazakhstan - Russian Language

Company: TELUS Digital

Location: Remote

Posted Jan 23, 2025

This is a part-time, long-term project opportunity for a freelancer with excellent Russian communication skills, residing in Kazakhstan for the last 5 years, and familiar with local affairs. The role involves analyzing and providing feedback on various types of information for top search engines, improving user experience. No prior professional experience is required, but applicants must pass a language assessment, qualification exam, and ID verification. TELUS Digital AI is committed to diversity and inclusion, offering equal opportunities to all qualified applicants.

Software Engineering Technical Specialist

Company: Kyndryl

Location: North Kingstown, RI / Remote

Posted Jan 23, 2025

Kyndryl is seeking a Software Engineering Technical Specialist to contribute to their software engineering space. The role involves developing solutions in domains like Security, Systems, Databases, and Networking Solutions. The successful candidate will be a leader, demonstrating technical expertise and team leadership skills. They will work closely with various teams to deliver high-quality products and features through the agile software development lifecycle. The role also includes coaching and mentoring engineers. Kyndryl values effective communication, collaboration, and a growth mindset. The company offers competitive compensation, benefits, and opportunities for professional development.

Summer 2025 Architecture Intern

Company: Intradiem

Location: Remote

Posted Jan 23, 2025

Intradiem, a technology company, is reinventing customer service through AI-powered Intelligent Automation solutions. They develop innovative solutions for contact center and back-office teams, supporting hundreds of thousands of agents and saving millions annually. The Architecture Intern role involves designing and implementing software subsystems, assisting with research, ensuring scalability and performance, and interfacing with other architects. The ideal candidate has a background in Computer Architecture, Machine Learning, or related fields, with a solid grasp of coding technologies and interest in cloud technologies.

R&D Engineer II

Company: Ansys

Location: Vancouver, Canada / Remote

Posted Jan 23, 2025

Ansys, a leading company in simulation software, is seeking an R&D Engineer II. The role involves collaborating with a team of experts to understand customer requirements and achieve development objectives. Key responsibilities include software module and subsystem design, implementation, maintenance, testing, and documentation. The ideal candidate should have a BS in Engineering, Computer Science, or related field with 2 years of experience, or an MS. Proficiency in C++ and at least one other language is required. Preferred qualifications include experience with REST, gRPC, Python, C#, Jupyter Notebooks, Pandas, NumPy, AI/ML, and GitHub. Ansys values adaptability, courage, generosity, and authenticity, and is committed to diversity, inclusion, and employee success.

Technical Solutioning

Company: Kyndryl

Location: Milan, Italy / Remote

Posted Jan 23, 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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