Machine Learning Jobs

425,594 open positions · Updated daily

Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

Sustaining Operations Engineer

Company: Canonical

Location: Remote

Posted Dec 01, 2025

This is a fast-paced engineering role at Canonical, focusing on Linux-based software-defined infrastructure and applications. The role involves troubleshooting and fixing issues in open-source technologies like OpenStack, Kubernetes, Ceph, and more. It requires strong Linux skills, debugging experience, and the ability to work remotely. Canonical offers a distributed work environment, personal learning budget, and other benefits.

Technical Program Manager

Company: Axios

Location: Remote

Posted Dec 01, 2025

The role of Technical Program Manager at Axios involves coordinating complex cross-functional initiatives to advance the company's mission. The position requires managing large programs, partnering with various teams, optimizing internal systems, developing reporting systems, coaching teams on Agile best practices, identifying blockers, and facilitating cross-team coordination. The ideal candidate should have 3-5 years of experience in program or project management, strong organizational and communication skills, experience with Jira and Confluence, familiarity with Agile methodologies, and fluency with AI tools.

Senior Data Scientist

Company: Gradient AI

Location: Remote

Posted Dec 01, 2025

Gradient AI is a fast-growing company revolutionizing Group Health and PampC insurance with AI-powered solutions. They are seeking Senior Data Scientists to help shape the future of their underwriting products in the healthcare and care management space. The role involves designing and implementing predictive models, analyzing large datasets, and collaborating with cross-functional teams to deliver intelligent solutions at scale.

Senior/Staff/Principal Engineer

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical seeks Senior+ Engineers to contribute to open-source projects, offering global collaboration, remote work, and professional growth opportunities. The role emphasizes technical leadership, innovation, and community engagement while providing competitive compensation and benefits.

Senior Security Architect & Cyber Lead

Company: WCG International Consultants Ltd.

Location: Remote

Posted Dec 01, 2025

The company, WCG, has been creating sustainable employment opportunities across Canada since 1994. They are seeking a Senior Security Architect and Cyber Lead to shape and safeguard the digital future of WCG, working closely with cross-border Digital teams and managing a skilled cybersecurity team. The role offers a competitive salary, comprehensive benefits, and opportunities for learning and development.

Software Engineering Manager (Backend SaaS)

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They are hiring an engineering manager to lead the reboot of their Landscape systems management solution for Ubuntu. The company is founder-led, profitable, and growing, with a focus on distributed collaboration and global expansion.

Embedded IoT / Edge Solutions Sales Representative - Manager and Director

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open-source software and operating systems, with a focus on enterprise and technology markets. Their platform, Ubuntu, is widely used in various industries, including public cloud, data science, AI, engineering innovation, and IoT. The company is founder-led, profitable, and growing, with a distributed team across 75+ countries. They are hiring for various roles, including Embedded IoT, Edge Solutions Sales Representatives, Managers, and Directors, to expand their reach in mission-critical industries. Canonical provides a comprehensive portfolio of Linux solutions, emphasizing security, reliability, developer productivity, and footprint.

Software Engineer - Python/Golang - Kubernetes

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They offer a remote software engineer position to join their Kubernetes product team, focusing on building operators and addons. The company values diversity, offers a distributed work environment, and provides benefits like a personal learning budget and annual compensation reviews.

Ubuntu Core Software Engineer

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on Ubuntu. They are hiring a Ubuntu Core Software Engineer to work on embedded Linux systems in IoT, automotive, and aviation. The role involves designing and implementing software for various CPU architectures, collaborating with a distributed team, and reviewing code. Canonical offers a distributed work environment, personal learning budget, and other benefits.

Systems & Controls Accountant

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI engineering, and IoT. The company is founder-led, profitable, and growing, with a distributed team of over 1000 colleagues in 70+ countries. They are hiring a Systems & Controls Accountant to drive best practices in systems, processes, and controls, with a focus on NetSuite implementation and automation.

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on Ubuntu. They offer a wide range of solutions for public cloud, data science, AI, engineering, and IoT. The company is founder-led, profitable, and growing, with a distributed team of over 1000 colleagues in 70+ countries. They are hiring Python and Kubernetes Specialist Engineers to work on open source solutions for public cloud and private infrastructure.

Sr. Product Manager - International

Company: Khan Academy

Location: Remote

Posted Dec 01, 2025

Khan Academy is a nonprofit offering free worldclass education globally, committed to improving learning outcomes through diverse teams and impactful product development. They seek a Senior Product Manager to scale international education solutions while emphasizing diversity, equity, and high-impact innovation.

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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