Machine Learning Jobs in Remote

140,532 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 QA Engineer

Company: Bluecore

Location: Remote

Posted Jan 23, 2025

Software Support Engineer

Company: GE Vernova

Location: Kongsberg, Norway / Remote

Posted Jan 23, 2025

The company is seeking a Software Support Engineer specializing in Electrical Transmission Network Management Systems. The role involves ensuring customer success and growth, resolving software issues, collaborating with colleagues, and advocating for customers. Required qualifications include advanced experience in digital implementation services, support, debugging, and expertise in Power systems. The job involves investigating and resolving software issues, developing a foundational understanding of the professional discipline, and collaborating with colleagues. Proficiency in C++ and English is required, with fluency in Norwegian being highly valued. The company is an Equal Opportunity Employer offering a comprehensive rewards package.

Engineer II, Human Factors Design

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 23, 2025

Thermo Fisher Scientific is seeking a versatile and experienced UX Designer with at least 2 years of experience. The ideal candidate should have strong proficiency in Figma, a deep understanding of its features, and a portfolio showcasing a range of projects. They should be capable of conducting user research, usability testing, and translating insights into actionable design solutions. Excellent communication and teamwork skills are required, along with a passion for constantly refining processes and learning. The role involves collaborating with cross-functional teams, developing interactive prototypes, and contributing to the growth of the design team. The company values Integrity, Innovation, Intensity, and Involvement, and is committed to enabling customers to make the world healthier, cleaner, and safer.

Infrastructure Engineer

Company: Hatch

Location: Remote

Posted Jan 23, 2025

Hatch is a company dedicated to assisting small businesses in starting and growing. They are constructing financial products to empower business owners, allowing them to concentrate on their products and business expansion. The Infrastructure Engineer role at Hatch offers the opportunity to significantly impact the cloud platform, working with various tools and teams. The role is remote and involves using Terraform, Ansible, Packer, Python, and GitHub Actions. The team prioritizes clear communication and problem-solving. In the first month, the focus will be on understanding the platform, tools, and processes, with significant work on Terraform and AWS. Future responsibilities may include enhancing application monitoring, logging, and working with Kubernetes and CD tools.

Funding Specialist

Company: LendingHome

Location: Remote

Posted Jan 23, 2025

Estagiário de Governança de TI

Company: Equinix, Inc

Location: Rio de Janeiro, Brazil / Remote

Posted Jan 23, 2025

Equinix, a global digital infrastructure company, is seeking a Trainee in TIA Governance. The role involves assisting global teams in analyzing, documenting, and improving ITSM processes, aligning them with frameworks like ITIL. The candidate will support process modeling and automation, ensure documentation aligns with global best practices and compliance needs, participate in international meetings, and prepare reports for global stakeholders. Equinix values diversity and offers opportunities for growth and learning. The ideal candidate should be a recent graduate from a relevant field, available for a 30-hour weekly hybrid internship, and proficient in English.

Senior Software Engineer, Remote (US Eastern)

Company: Cobalt

Location: Remote

Posted Jan 23, 2025

Cobalt, a remote-first cybersecurity company, is seeking a Senior Software Engineer to join their team. The role involves driving advancements in their Pentest as a Service (PtaaS) and Offensive Cybersecurity platform. The ideal candidate will have at least 5 years of full-stack web development experience, proficiency in Kotlin, JavaScript, and cloud environments, and a commitment to writing clean, maintainable code. The position offers competitive compensation, mentorship opportunities, and a flexible work environment.

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.

Related Pages