Machine Learning Jobs

Positions 425,970 Updated daily

Machine learning is reshaping industries from finance to healthcare. Demand for talent spikes as companies adopt predictive analytics, automated underwriting, and personalized medicine. Data‑driven product teams need engineers who can translate theory into scalable solutions using TensorFlow, PyTorch, or AWS SageMaker.

Within the field you’ll find roles such as ML Engineer, responsible for productionizing models, Data Scientist building prototypes, Research Scientist pushing algorithmic frontiers, ML Ops Engineer focusing on CI/CD pipelines, and AI Product Manager bridging tech and business. Typical duties include feature engineering, model training, hyper‑parameter tuning, model monitoring, and collaborating with data engineers to maintain data pipelines.

Salary transparency is vital for ML professionals because the field’s rapid evolution creates pay disparities across domains. Knowing the market range for a TensorFlow‑based model deployer in New York versus a research scientist in Seattle helps candidates negotiate realistic offers, assess equity and bonus structures, and prevent skill‑based wage gaps.

Software Development Engineer III - Identity & Auth

Company: Mapbox

Location: USA

Posted Dec 12, 2025

Mapbox is a leading platform for location-aware businesses, offering robust tools and security features. The role involves developing secure identity management solutions and driving anti-fraud initiatives while maintaining a culture of operational excellence.

Full Stack Application Developer

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

IBM CIC offers a supportive work environment with opportunities for career growth, extensive training, flexible working arrangements, and a culture of innovation. The role emphasizes technical expertise in cloud development and collaboration with clients to drive impactful solutions.

Salesforce Developer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 12, 2025

This job description highlights a career in IBM Consulting with opportunities for global client collaboration, hybrid cloud and AI innovation, and professional growth. The role emphasizes technical expertise in Salesforce development, teamwork, and mentorship, while offering training and career advancement prospects.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and strategic partnerships. It outlines responsibilities including software development, stakeholder collaboration, and continuous learning, along with required qualifications and technical skills.

Content Manager

Company: Netwrix

Location: Remote

Posted Dec 12, 2025

This job posting seeks a Content Manager with skills in content production, SEO, and collaboration tools. The role emphasizes editorial workflows, AI integration, and cross-departmental coordination. The company highlights values like customer focus, transparency, and innovation, along with benefits like health insurance, career growth opportunities, and a collaborative work environment.

Director - Sales Strategy

Company: Zendesk

Location: Remote

Posted Dec 12, 2025

This job description outlines a Director Sales Strategy role at Zendesk, emphasizing global revenue growth, team leadership, and cross-functional collaboration. It highlights the company's focus on customer relationships, flexible work arrangements, and inclusive workplace culture with a competitive salary range.

Talent Acquisition - Selection Specialist (Fixed Term)-ELH

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

This job description highlights IBM's recruitment role as a Recruiting Selection Specialist, emphasizing opportunities to lead in technology, solve complex problems, and contribute to innovative projects. It outlines responsibilities, required skills, and a positive work environment with growth potential.

Data Engineer (Python/SQL)

Company: IBM

Location: Heredia, CR

Posted Dec 12, 2025

This text describes a job opening for a Data Engineer at Hakkoda, an IBM company specializing in Snowflake Data Cloud solutions. The role involves designing data pipelines, working with cloud platforms, and collaborating with clients. Requirements include experience with SQL, Python, and cloud data platforms, along with agile teamwork skills.

AI Engineer Intern

Company: IBM

Location: Antwerpen, BE

Posted Dec 12, 2025

This internship offers professional growth, mentorship, and hands-on AI project experience at IBM, enhancing skills and career prospects.

Frontend Engineer Editor Team

Company: ThriveCart

Location: Remote

Posted Dec 12, 2025

ThriveCart is a leading no-code sales platform for digital creators, offering tools to boost revenue and scale businesses. They seek a tech-savvy developer with cloud experience and entrepreneurial spirit for a collaborative role.

Senior Backend Engineer

Company: Goodnotes

Location: Europe & Asia

Posted Dec 12, 2025

Goodnotes seeks innovative collaborators to advance AI-human collaboration through transformative digital notetaking. The role emphasizes ownership, user-centricity, and cross-functional teamwork across global teams, with opportunities to shape APIs for millions of users.

DevOps Infrastructure Specialist - Defence

Company: IBM

Location: Cheltenham, GB

Posted Dec 12, 2025

The text promotes IBM CIC's career opportunities, highlighting benefits like professional growth, training programs, flexible work arrangements, and a supportive culture. It emphasizes collaboration, innovation, and career development while outlining technical requirements for a Senior DevOps Infrastructure Specialist role.

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

Related Pages

© 2026 Job Transparency. All rights reserved.