Remote Machine Learning Jobs
Found 973 verified opportunities
Remote Machine Learning roles sit at the intersection of data science and software engineering, letting specialists design, train, and ship predictive models from anywhere with an internet connection. Companies today look for engineers who can turn messy data into production‑ready pipelines using Python, experiment with frameworks such as TensorFlow or PyTorch, and deploy solutions on cloud services like AWS or GCP.
Practical experience—building end‑to‑end projects that include data preprocessing, model selection, hyper‑parameter tuning, and monitoring—outweighs pure academic theory, because employers need results that scale. Compensation reflects this demand: junior practitioners often earn between $60,000 and $90,000 annually, while senior contributors can see packages that climb to $150,000 or more, depending on expertise and geographic cost‑of‑living adjustments.
The remote model fits naturally, as training runs on cloud GPUs and code reviews happen via version‑control tools, allowing talent from Pakistan, India, Nigeria, the Philippines, and beyond to collaborate seamlessly with global teams.
Senior AI Engineer (RAG Systems & Agentic Workflows)
Provectus
AI Enablement Manager
Epoch AI
Lead AI/ML Engineer
Capitaltg
Director of Engineering - AI Patient Engagement Agent
Care Access
Industrial AI Solution Engineer
Cognite
Technical Lead Learning Experience Designer
General Assembly
Technical Lead Learning Experience Designer
General Assembly
Data Labeling Specialist (Computer Vision) - Construction Drawings
Bobyard
Principal Engineer (AI Systems)
Foundation Health
Senior Data Scientist (Latin American Office) - Consulting Role
Pyyne
Staff Research Engineer — RRI Harness & Applied Research
Sequen AI
AI Developer / Software Engineer
omilia
AI Engineer / Data Scientist
Plainconcepts
AI Engineering Industry Mentor
Peopleworth
Senior Enterprise Support Engineer
Unframe
Solution Architect (AI & Hospitality Tech) at Apaleo
apaleo
Software Engineer (LLM Prompting & Orchestration) at XBOW
XBOW
Head of Platforms, Americas
Datatonic
AI Training and Evaluation Expert (Insurance Underwriting & Claims)
weekday
Senior Automation & AI Implementation Specialist
paired
Graphics AI Software Engineer
Plain Concepts
Senior AI Engineer (Insurance Platform)
Covergo
AI Strategist
Cresta
Senior Detection Engineer, Protective Services
Doordash
Frequently Asked Questions
What salary range can I expect for remote Machine Learning positions?+
Compensation varies by experience and region, but most remote junior ML engineers see offers in the $60K‑$90K band, while mid‑level professionals typically earn $90K‑$130K. Senior specialists with a track record of shipped models often command $130K‑$180K or higher, especially when they bring niche expertise.
Which skills and qualifications are most important for remote Machine Learning roles?+
Employers prioritize strong Python programming, hands‑on experience with TensorFlow or PyTorch, and the ability to build scalable data pipelines. Familiarity with cloud platforms (AWS, GCP, Azure), version control, and a solid grasp of statistics and model evaluation metrics round out the core profile.
How can I break into a remote Machine Learning job if I’m just starting out?+
Start by assembling a portfolio of end‑to‑end projects—data cleaning, model training, and deployment on a cloud service—and share the code on GitHub. Complement the work with a recognized certification (e.g., Google Cloud ML Engineer) and network through online ML communities to land freelance gigs that can evolve into full‑time remote roles.
Why is model interpretability especially critical in remote Machine Learning projects?+
When teams are distributed, stakeholders rely heavily on clear documentation and explainable outputs to trust the model’s decisions. Techniques like SHAP values or LIME help remote engineers demonstrate why a model predicts a certain result, reducing risk and easing collaboration across time zones.