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.

PROCESS DELIVERY SPECIALIST-PROCURE TO PAY

Company: IBM

Location: Chennai, IN

Posted Dec 17, 2025

This job description outlines a Process Analyst role at IBM Consulting, emphasizing collaboration with global clients, digital transformation using AI and cloud technologies, and career growth opportunities. Responsibilities include invoice processing, vendor management, and compliance with SLAs, requiring a bachelor's degree and 24+ years of Accounts Payable experience.

Package Consultant-Oracle Business Analytics

Company: IBM

Location: Kolkata, IN

Posted Dec 17, 2025

The text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and career growth. It outlines responsibilities, required skills in technology integration, and the importance of continuous learning in a supportive work environment.

Business Transformation Consultant-Finance Transformation

Company: IBM

Location: SYDNEY, AU

Posted Dec 17, 2025

The text promotes IBM Consulting's internship program, emphasizing career growth, collaboration with clients, and opportunities for professional development. It highlights a supportive culture, skill-building, and exposure to innovative projects in hybrid cloud and AI, while showcasing a positive outlook on long-term career advancement.

AI Developer - Experienced

Company: IBM

Location: Kochi, IN

Posted Dec 17, 2025

This job posting describes a role in Kochi India focused on AI and data engineering for digital transformation. Responsibilities include building AI agents, developing data pipelines, and collaborating globally. Required skills involve Python, SQL, and data pipeline experience. The position offers opportunities to impact business outcomes through innovative solutions.

WW Solution Architect – Multiple Focus Areas (see below)

Company: IBM

Location: Krakow, PL

Posted Dec 17, 2025

IBM's job role emphasizes collaboration, innovation, and career growth, offering opportunities to solve complex challenges and drive digital transformation through technology expertise and a supportive culture.

Data Scientist Intern: 2026 - Research Triangle Park

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 17, 2025

This text describes an internship opportunity at IBM's Business Platform Transformation, highlighting roles in AI and data science with collaborative environments, professional development, and impactful projects. It outlines responsibilities involving machine learning, strategic planning, and project management, along with required technical skills and soft skills.

DevSecOps Engineer Intern

Company: IBM

Location: Singapore, SG

Posted Dec 17, 2025

IBM seeks passionate interns to drive innovation and solve complex challenges, emphasizing technical skills and growth in a dynamic, inclusive environment.

Package Consultant-Oracle HCM Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This text promotes an Oracle Cloud Consultant role at IBM Consulting, emphasizing collaboration, innovation, and career growth opportunities. It highlights working with global clients on hybrid cloud and AI solutions, along with technical expertise requirements and preferred qualifications.

Application Developer - RPA

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes an Application Developer role at IBM, highlighting responsibilities like software development, strategic projects, and career growth opportunities. It emphasizes benefits such as learning resources, global impact, and cross-functional collaboration, while mentioning perks like travel and skill development.

Data Engineer Machine Learning

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes job responsibilities related to designing data systems, maintaining infrastructure for machine learning models, and required qualifications such as a bachelor's degree and specific technical skills. It also mentions preferred postgraduate studies in data.

Data Engineer - Data Platforms - Azure

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description outlines a Data Engineer role focused on building scalable data platforms on Microsoft Azure, designing ETL pipelines, and developing analytics solutions. The position requires expertise in Azure tools, SQL, Power BI, and data governance, with opportunities to collaborate across industries and deliver impactful cloud-native solutions.

Data Scientist-Advanced Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

IBM Consulting offers a career focused on AI and analytics, emphasizing innovation, client collaboration, and professional growth through advanced technologies and strategic partnerships.

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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