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.

Travel Operations Specialist

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical is a leading provider of open source software and operating systems. They offer a distributed work environment with team sprints and opportunities for travel. The company values excellent communication skills, self-awareness, and accountability. They offer competitive compensation, benefits, and a personal learning budget.

Security Software Engineer

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on security. They are looking for exceptional security-focused software engineers to join their globally distributed teams. The company offers a distributed work environment, personal learning and development budget, and various benefits.

Data Scientist

Company: MGID

Location: Remote

Posted Dec 03, 2025

MGID seeks a Data Scientist to join their AdTech team, focusing on data analysis, algorithm development, and stakeholder collaboration. The role requires expertise in Python, machine learning, and big data technologies, with opportunities to impact product development and optimize CPA campaigns.

Software Engineer 5 - TV Client Foundations

Company: Netflix

Location: USA

Posted Dec 03, 2025

The text highlights Netflix's commitment to creating exceptional TV experiences, emphasizing team collaboration, innovation, and diverse values. It outlines job opportunities with focus on technical expertise, scalability, and a supportive work culture, while detailing competitive benefits and inclusive practices.

React Developer (Front-end, Next.js), SC cleared

Company: NECSWS

Location: UK

Posted Dec 03, 2025

NEC Digital seeks a Frontend React Developer for a hybrid or remote role. The successful candidate will develop and maintain web applications using React and Next.js, collaborating within a Scrum team to implement new features and ensure accessibility, performance, and test quality standards. The role requires SC clearance and strong React, TypeScript, and Next.js skills.

Software Engineer - Python and K8s

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical's job posting highlights their mission to reinvent open source software management, emphasizing innovation in cloud computing, Kubernetes, and global collaboration. The role offers opportunities to work on cutting-edge technologies with a distributed team, along with benefits like remote work, travel, and professional development. The company promotes a culture of excellence and diversity, with a focus on impactful engineering and open source contributions.

Software Engineering Manager - Container and Virtualisation Infrastructure

Company: Canonical

Location: Remote

Posted Dec 03, 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 mission to build a next-generation private cloud infrastructure. They are hiring engineering managers with experience in high-quality microservice architectures and deep familiarity with Linux kernel virtualization, storage, and networking.

Project Manager - Ubuntu Embedded Systems

Company: Canonical

Location: Remote

Posted Dec 03, 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, and IoT. The company is hiring a Project Manager for Ubuntu Embedded Systems to coordinate and complete large, complex customer-facing projects involving the delivery of Ubuntu images on various devices. The role requires solid project management experience, excellent communication skills, and the ability to work with cross-cultural and multi-continental teams.

Manager - Training & AI Activation, Revenue Enablement

Company: Cielo

Location: Mexico

Posted Dec 03, 2025

Cielo offers career growth opportunities with a focus on AI-driven sales enablement. The role involves training, process standardization, and AI integration to enhance revenue strategies. The job requires expertise in sales enablement platforms and instructional design, with a strong emphasis on collaboration and innovation.

Software Engineer L5 - Ads Engineering

Company: Netflix

Location: Remote

Posted Dec 03, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They recently launched an ads-supported tier and are building an in-house ad tech ecosystem. The Ads Engineering team is dedicated to creating a world-class advertising ecosystem that drives their business and ensures a great viewing experience for members while delivering high impact for advertisers.

Manager - Training & AI Activation, Revenue Enablement

Company: Cielo

Location: Argentina

Posted Dec 03, 2025

Cielo is seeking a Manager of Training & AI Activation Revenue Enablement to drive sales effectiveness and operational efficiency through training, process standardization, and strategic enablement initiatives. The role involves coordinating and integrating AI functionality to support the revenue team, designing onboarding programs, establishing metrics, and standardizing sales processes. The ideal candidate has 3-5 years of experience in sales enablement, instructional design, or sales training, and is detail-oriented, results-driven, and proficient in Salesforce and the Microsoft Office suite.

Senior Software Engineer - MAAS

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical, a leading open-source provider, promotes its Ubuntu platform and MAAS technology. The job requires expertise in Python/Go for scalable cloud solutions, with benefits like global travel and professional development.

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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