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.

Accounting Manager

Company: St. Johns Country Day School

Location: Orange Park, FL

Posted Oct 23, 2025

Strong knowledge of financial concepts including double entry bookkeeping, financial analysis, and general ledger accounting. Job Types: Full-time, Contract.

Machine Learning Engineer-4 years of experience

Company: B2U Storage Solutions

Location: United States

Posted Oct 23, 2025

Develop and deploy machine learning models to predict battery degradation, state of charge, and safety conditions using large datasets.

Business Improvement Analysts

Company: Medtronic

Location: San Antonio, TX

Posted Oct 23, 2025

You will facilitate alignment meetings to drive project success from design to implementation, leveraging new tools and technology to increase automation in…

Data Management Analyst

Company: Judicial Branch of Arizona in Maricopa County

Location: Phoenix, AZ

Posted Oct 23, 2025

Uses research to develop and implement strategies to improve processes and methods. Bachelor’s degree in Criminal Justice, Public Administration, Business…

AI & GenAI Data Scientist-Senior Associate

Company: PRICE WATERHOUSE COOPERS

Location: Las Vegas, NV

Posted Oct 23, 2025

Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose…

Resident Nurse - RN - Residency Program (February 2026 Cohort)

Company: Seattle Children's Hospital

Location: Seattle, WA

Posted Oct 23, 2025

Current Washington State RN License, or other current state license that the RN is required to work in. Through direct mentorship and shadow experiences, as a…

MeF Security Architect

Company: S2 Technovations

Location: United States

Posted Oct 23, 2025

This role serves as the *primary point-of-contact for all security-related decisions*, driving vulnerability remediation, advancing DevSecOps maturity, and…

AI & GenAI Data Scientist-Senior Associate

Company: PRICE WATERHOUSE COOPERS

Location: Jacksonville, FL

Posted Oct 23, 2025

Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose…

CNC Machine Operator - 2nd Shift

Company: Koch

Location: Phoenix, AZ

Posted Oct 23, 2025

Technical certification in CNC machining or related field. Ability to read and interpret blueprints and technical drawings. High school diploma or GED.

Master Machinist Apprentice

Company: Solar Turbines

Location: San Diego, CA

Posted Oct 23, 2025

Work with Master Machinists to learn how to plan sequence of operations, lay out work, set up and operate machine tools such as lathes, mills, boring mills,…

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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