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.

Talent Acquisition Coordinator

Company: IBM

Location: BANGALORE, IN

Posted Dec 18, 2025

IBM's job posting highlights opportunities for growth, collaboration, and innovation in a supportive environment. The Offer Specialist role emphasizes teamwork, attention to detail, and career development within a global network.

IBM Internship SAP HANA FIN FI

Company: IBM

Location: Bucharest, RO

Posted Dec 18, 2025

The SAP FI Consultant Intern role at IBM Consulting involves supporting financial processes, collaborating with global clients, and contributing to innovative solutions in a growth-oriented environment.

Senior Integration Developer

Company: IBM

Location: Giza, EG

Posted Dec 18, 2025

This job description outlines a role in IBM Consulting focusing on integration solutions, requiring expertise in IBM technologies and collaboration with clients for innovative projects. It emphasizes career growth, technical skills in APIs and cloud platforms, and a culture of continuous learning and problem-solving.

Application Developer-Microsoft .NET Stack

Company: IBM

Location: Hyderabad, IN

Posted Dec 18, 2025

IBM Consulting offers a Software Developer role focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth with strong technical requirements.

Quality Assurance Representative - Japan Language

Company: IBM

Location: New Delhi, IN

Posted Dec 18, 2025

The job description outlines a Quality Assurance Representative role at IBM Finance & Operations, requiring Japanese fluency and experience in contract management. It highlights opportunities for growth, collaboration, and a supportive work environment.

(Senior) Manager, AI & Digital Strategy

Company: IBM

Location: Hong Kong, HK

Posted Dec 18, 2025

This text promotes IBM Consulting's career opportunities, emphasizing collaboration, innovation, and growth in AI and digital strategy roles with global client partnerships and advanced technological tools.

HR onboarding professional

Company: IBM

Location: BANGALORE, IN

Posted Dec 18, 2025

This text describes an HR onboarding specialist role at IBM, outlining responsibilities such as coordinating pre-onboarding activities, ensuring compliance with policies, and creating positive employee experiences. It emphasizes collaboration across teams and the importance of HRIS tools in streamlining processes.

IBM Java Internship

Company: IBM

Location: TIMISOARA, RO

Posted Dec 18, 2025

The IBM Consulting internship offers growth opportunities, collaboration with industry experts, and a supportive environment for learning and innovation.

Director, Sales

Company: IBM

Location: London, GB

Posted Dec 18, 2025

The Strategic Sales Director role involves leading a team to manage complex deals, drive innovation, and contribute to client success within IBM's Global Sales framework.

Talent Acquisition Coordinator

Company: IBM

Location: BANGALORE, IN

Posted Dec 18, 2025

The text describes IBM's recruitment role for an Offer Specialist, emphasizing teamwork, innovation, career growth, and a supportive work environment. It highlights the importance of attention to detail, communication skills, and process improvement in the offer management process.

Test Developer Intern / Students Program

Company: IBM

Location: Mexico City, MX

Posted Dec 18, 2025

IBM Consulting's internship offers professional growth, collaboration with leading companies, and opportunities to work on impactful projects, fostering innovation and career development.

Data Engineer-Data Warehouse

Company: IBM

Location: Noida, IN

Posted Dec 18, 2025

This job description outlines a Data Engineer role at IBM involving innovation, collaboration, and technical expertise. Responsibilities include data analysis, predictive modeling, and working with tools like Elasticsearch and Splunk. Required skills encompass programming languages, ETL tools, and cloud platforms.

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.