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.

Senior Lead, System Programmer-z/OS

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 22, 2025

Specialist NetIQ Access Manager

Company: Kyndryl

Location: Bogota, Colombia / Remote

Posted Jan 22, 2025

Principal Data Platform Software Engineer

Company: Atlassian

Location: Sydney, Australia / Remote

Posted Jan 23, 2025

Atlassian is seeking a Principal Data Platform Engineer with extensive experience in big data systems and software engineering. The role involves designing, developing, and maintaining innovative data platforms, collaborating with cross-functional teams, and driving operational excellence. The ideal candidate should have a PhD, Bachelor's, or Master's degree in Computer Science or equivalent, with 10+ years of experience in Data/Software Engineering. Familiarity with AWS services, cloud architecture patterns, and machine learning is beneficial. Atlassian offers a variety of perks and benefits, and values diversity and inclusion.

Spring Intern 2025 - DIGITAL, Data and Technology Infrastructure

Company: PCORI

Location: Remote

Posted Jan 23, 2025

The Patient-Centered Outcomes Research Institute (PCORI) is offering a spring internship in the DIGITAL department. The intern will work on a cutting-edge project using Natural Language Processing (NLP) and Machine Learning (ML) to develop and refine algorithms for automating portfolio coding. Key tasks include defining taxonomy with NLP, developing a clear mapping, annotating a representative dataset, and building and evaluating an initial model for coding research plans. The intern will also have the opportunity to work with a diverse team and gain hands-on experience in AI, data science, and research methodologies. The pay range is $17.50 for Bachelor's and $20.00 for Master's and above, hourly.

Technical Support Analyst

Company: eMoney

Location: Remote

Posted Jan 22, 2025

The Technical Support Analyst serves as a liaison between Engagement and development teams, resolving technical issues and communicating problems and solutions. They research and resolve cases, work with development teams to fix issues, and provide training to Engagement and other groups. The role involves supporting clients via emergency support, handling multiple tasks, and maintaining a positive attitude with customers. The position requires a Bachelor's Degree or equivalent experience, proficiency in Microsoft Office and Salesforce, and strong research and communication skills.

Lead Integration Engineer/ Associate Architect

Company: Coupa

Location: Pune, India / Remote

Posted Jan 23, 2025

Coupa, a leading total spend management platform, offers an innovative AI solution driven by trillions of dollars of global spend data. The company values collaboration and has a global impact, empowering employees to make profitable business decisions. The role involves leading integration solutions, partnering with the business, and working with various tools and databases. Candidates should have extensive experience in integration, automation, and programming.

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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