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.

Human Resources Professional - Armonk, NY

Company: IBM

Location: Armonk, US

Posted Dec 23, 2025

IBM HR seeks passionate professionals to drive transformative change through roles in recruitment, benefits, talent management, and more. The position offers growth opportunities, collaboration with global experts, and a focus on creating positive workplace cultures while leveraging technology and innovation.

Solution Architect

Company: IBM

Location: Houston, US

Posted Dec 23, 2025

This text describes a senior technical role at IBM emphasizing leadership in innovation, problem-solving, and strategic decision-making. It outlines responsibilities such as defining system architectures, driving organizational change, and collaborating on AI solutions. The role requires advanced technical skills in AI/ML, strong communication abilities, and experience with cloud platforms.

Production Operator

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 23, 2025

The text describes IBM's Infrastructure & Technology division, highlighting their role in critical systems and solutions. It outlines a Production Operator's responsibilities, required skills, and the company's supportive culture emphasizing innovation and career growth.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

This role involves software development, stakeholder collaboration, and driving innovation in hybrid cloud and AI projects for global clients. The position emphasizes technical expertise, continuous learning, and working with strategic partners to deliver impactful solutions.

IBM SW Automation Brand Sales Specialist

Company: IBM

Location: Hong Kong, HK

Posted Dec 23, 2025

This job description highlights IBM's Software Solutions Brand Sales role, emphasizing technical expertise in automation solutions, client collaboration, and career growth opportunities. It promotes a supportive culture focused on innovation and making a global impact through digital transformation.

Senior Network Engineer - SDWAN

Company: IBM

Location: HORTOLANDIA, BR

Posted Dec 23, 2025

IBM Finance & Operations drives efficiency and innovation. The role involves network design, security, and collaboration with global teams. Required skills include SDWAN, BGP, and automation. IBM offers career growth and a dynamic environment.

Junior Mainframe z/OS Technical Specialist

Company: IBM

Location: Petach Tikva, IL

Posted Dec 23, 2025

This job description outlines a zOS specialist role involving maintenance of mainframe systems, collaboration with teams, and technical expertise in IBM environments. It lists required skills, preferred qualifications, and responsibilities related to system operations and infrastructure support.

Data Scientist (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This text promotes a career in IBM Consulting, emphasizing global collaboration, innovation in hybrid cloud and AI, and opportunities for professional growth. It highlights the role of a Data Scientist in solving complex problems using advanced tools and technologies, along with required skills in mathematics, programming, and cloud platforms.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

The text describes a career in IBM Consulting focusing on long-term client relationships, digital transformation, and professional growth opportunities. It highlights collaboration with global clients, strategic technology platforms, and a culture of innovation and learning.

Package Consultant-SAP FIN CO

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This job description highlights IBM's focus on innovation, skill development, and collaborative problem-solving in a supportive work environment. It emphasizes opportunities for growth, technical expertise, and contributions to client success through advanced technology integration.

Data Engineer-Data Integration

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

This job description outlines a Software Developer role at IBM involving data analysis, collaboration with teams, and technical expertise in data integration. Responsibilities include predictive modeling, enterprise search applications, and Agile teamwork. Required skills involve ETL processes and Ab Initio tools, with preferred qualifications including a Master's degree and strong communication abilities.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

This role involves working with clients on hybrid cloud and AI projects, requiring expertise in software development, collaboration, and technical skills. The position emphasizes innovation, stakeholder engagement, and proficiency in technologies like GoLang, microservices, 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.

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