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.

Sales Enablement Manager

Company: Apollo.io

Location: USA

Posted Dec 01, 2025

The job posting is for a GTM Enablement Manager to support Sales AEs and AMs by developing playbooks, training programs, coaching, and performance measurement strategies. The ideal candidate has 5+ years of experience in sales enablement, outbound sales, account management, or sales coaching, with a proven track record of driving revenue impact. The role involves collaborating with various teams to align enablement programs with business objectives and driving adoption of sales tools.

Sr. Financial Analyst - Corporate FP&A

Company: Upwork

Location: Remote

Posted Dec 01, 2025

Upwork Inc connects businesses with global AI-enabled talent across various contingent work types. The company offers the Upwork Marketplace and Lifted, providing solutions for enterprise organizations to source, manage, and pay talent. Upwork facilitates over $30 billion in transactions and aims to create economic opportunities in every era of work.

Go (Golang) Software Engineer - Developer Tooling and Containers

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 Go Golang Software Engineer to work on a new open source developer experience tool, aiming to improve developer workflows and productivity. The role requires experience with Go, Linux system-level fundamentals, and containers, and offers a distributed work environment with opportunities for international travel.

AI Engineers

Company: Donyati

Location: USA

Posted Dec 01, 2025

The job posting seeks a skilled AI Engineer with 3-5 years of experience in designing, developing, and deploying AI/ML solutions in cloud environments. The ideal candidate should have strong Python skills, experience with Azure and AWS, and knowledge of MLOps practices. Key responsibilities include designing scalable AI/ML models for banking applications, deploying and managing models using Azure ML and AWS SageMaker, collaborating with cross-functional teams, building CI/CD pipelines, ensuring compliance with data governance and security standards, optimizing model performance, and documenting processes.

Accounts Receivable Clerk

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They offer an exciting opportunity for an Accounts Receivable Clerk to join their growing team. The company values diversity, offers career development opportunities, and has a distributed work environment.

Sales Onboarding Program Manager

Company: Figma

Location: Remote

Posted Dec 01, 2025

This job description outlines a Sales Onboarding Program Manager role requiring experience in sales enablement, cross-functional collaboration, and data-driven program development. The position involves designing scalable onboarding curricula, creating reporting systems, and delivering impactful learning experiences. Figma offers competitive compensation, benefits, and growth opportunities for qualified candidates.

Senior Product Designer II, Customer Journey - Platform

Company: HubSpot

Location: USA

Posted Dec 01, 2025

The job posting for HubSpot's Platform UX Team emphasizes the importance of detail, cohesion, and scalability in designing systems that impact millions of users. The role involves cross-product problem-solving, systems thinking, AI and data integration, and collaboration across functions. The company values transparency, growth mindset, and a bold inclusive culture.

Head of Talent Development

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They are a pioneer in global distributed collaboration and are building a Talent Development function to enhance leadership and people management practices in their remote setting. The company is founder-led, profitable, and growing.

Senior Hyperion Planning Consultant

Company: Donyati

Location: USA

Posted Dec 01, 2025

Donyati focuses on innovative tech solutions and offers competitive compensation, benefits, and professional development opportunities. The company emphasizes client-centric approaches and expertise in Hyperion, Oracle, and Anaplan technologies while promoting a flexible work environment.

Senior Product Manager - Secret Detection

Company: GitLab

Location: EMEA,North America

Posted Dec 01, 2025

The Senior Product Manager for Secret Detection will lead the product area that helps GitLab customers avoid leaked secrets. They will own core capabilities like Secret Push Protection and Secret Validity Checks, shaping strategy and execution for features that must work in milliseconds and at global scale. The role involves collaborating with engineering, UX, and security teams to define the future of DevSecOps security at GitLab.

Visual Designer

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical, a leading provider of open source software, is hiring Visual Designers for Brand and Design Systems. The role involves working remotely in the EMEA region to evolve brand guidelines, apply them to communications materials, UI design systems, and graphic design for digital products. The company offers a distributed work environment, personal learning and development budget, annual compensation review, recognition rewards, annual holiday leave, maternity and paternity leave, employee assistance program, and the opportunity to travel to new locations to meet colleagues.

Lead Data Scientist

Company: Fusemachines

Location: USA

Posted Dec 01, 2025

Fusemachines is a leading AI strategy and education services provider with global expertise across multiple countries. The job posting seeks a Lead Data Scientist with extensive experience in AI, machine learning, and team leadership to develop innovative solutions for clients. Requirements include advanced degrees, technical skills in Python/R, cloud computing experience, and cross-functional collaboration abilities.

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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