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.

Automation Engineer

Company: IBM

Location: Pune, IN

Posted Dec 24, 2025

IBM's Infrastructure & Technology team focuses on resilient systems and innovation. The role involves automated testing, CI/CD integration, and collaboration with global teams, requiring Java, Selenium, and Agile expertise.

Account Manager for Telco

Company: Canonical

Location: Remote

Posted Dec 25, 2025

Canonical promotes open-source innovation, offering enterprise solutions and hiring top talent to drive growth and leadership in the tech industry. The company emphasizes distributed work, global expansion, and high standards for excellence while providing competitive compensation and professional development opportunities.

Data Scientist - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 25, 2025

IBM CIC offers career growth, training, and a supportive culture with opportunities to work on innovative AI projects. The role emphasizes collaboration, skill development, and impactful solutions for clients, while highlighting benefits like flexible working and professional certifications.

Member Support Specialist

Company: DISQO

Location: Yerevan

Posted Dec 24, 2025

DISQO promotes a trusted ad measurement platform, offering remote support roles with benefits like health insurance, stock options, and team events. The role involves handling support tickets, using AI tools, and contributing to product growth.

TLS Reals & Expansion Specialist

Company: IBM

Location: Brookhaven, US

Posted Dec 25, 2025

This job description highlights IBM's Global Sales role, emphasizing collaboration, innovation, and career growth opportunities. It outlines responsibilities like territory management, sales tool proficiency, and client relationship building, while promoting a supportive culture and impactful work environment.

Member Support Specialist

Company: DISQO

Location: Yerevan

Posted Dec 24, 2025

DISQO promotes a trusted ad measurement platform, offering roles with competitive benefits and a focus on innovation. The company emphasizes growth, collaboration, and diversity, with a remote position available in Yerevan.

Digital Sales Specialist Automation Platform for Italian Market

Company: IBM

Location: Segrate, IT

Posted Dec 25, 2025

IBM offers an exciting fixed-term international assignment in Valencia, Spain, part of their Global Mobility Program. This role provides valuable international experience, career growth, and collaboration opportunities with a supportive team.

Q2C Professional

Company: IBM

Location: Taipei, TW

Posted Dec 26, 2025

The role involves supporting quote-to-cash processes, ensuring compliance, and collaborating globally. IBM emphasizes innovation, growth, and a dynamic environment, offering career development and diverse perspectives.

DevOps Engineer

Company: IBM

Location: Leicester, GB

Posted Dec 25, 2025

IBM CIC offers career growth opportunities in a supportive work environment with innovative projects, extensive training, and benefits like flexible working, certifications, and career development. The role emphasizes DevOps expertise and collaboration with diverse teams to drive technological advancements.

Senior Full Stack Engineer

Company: Teleport

Location: United States

Posted Dec 24, 2025

Teleport emphasizes security, innovation, and empowering engineers with a flexible platform. The company highlights its trusted status among major clients, competitive salaries, and a collaborative culture focused on solving complex challenges while maintaining security and autonomy for employees.

Senior Full Stack Engineer

Company: Teleport

Location: United States

Posted Dec 24, 2025

Teleport emphasizes secure, efficient infrastructure access with a focus on engineer empowerment, open-source tools, and a collaborative, flexible work environment. The company highlights its trusted status among major clients, strong valuation, and commitment to innovation through security-first practices and career growth opportunities.

Digital Technical Specialist - Storage: Italian Market

Company: IBM

Location: Segrate, IT

Posted Dec 24, 2025

This job posting promotes a exciting fixed-term international assignment in Valencia, Spain, offering valuable global experience and career growth opportunities within IBM's Global Mobility Program. The role emphasizes collaboration, technical expertise, and professional development with competitive benefits.

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.

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