Machine Learning Jobs

425,594 open positions · Updated daily

Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

(2026 Campus Hire) Associate Data Engineer | Apply by Jan. 2, 2026

Company: IBM

Location: Taipei, TW

Posted Dec 05, 2025

The text describes a career opportunity at IBM Consulting as an Associate Data Engineer. The role involves working with data to uncover insights, collaborating with diverse teams, and implementing data management systems. It requires skills in programming, ETL tools, and cloud platforms. The position offers a chance to work on predictive modeling and analytical solutions.

Package Consultant - SuccessFactors Talent Mgmt

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 05, 2025

The text describes a career in IBM Consulting, highlighting the collaborative work with clients, focus on hybrid cloud and AI, and opportunities for learning and growth. It specifically mentions the role of a SuccessFactors Consultant, involving solution design, implementation, and delivery, with a focus on talent management and compensation modules.

Entry Level Supply Chain Operations Professional 2026

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

IBM offers internship opportunities in various areas of supply chain, providing exposure to advanced technologies and continuous learning. The company values continuous growth, teamwork, resilience, and problem-solving skills. Interns will gain in-depth understanding of supply chain functions and business operations.

Application Developer-Java & Web Technologies

Company: IBM

Location: Mumbai, IN

Posted Dec 05, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The role involves working with visionaries across industries to improve hybrid cloud and AI journeys. As a Software Developer, you'll participate in the software development lifecycle, create software for hybrid cloud and AI, and work with the latest technologies to ensure high-performing, maintainable applications.

SAP PP Team Leader

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes a career in IBM Consulting, highlighting the opportunities to work with clients globally, collaborate with visionaries, and leverage IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and innovation in solving complex business problems. The role of an SAP PP Consultant is outlined, focusing on designing and developing client solutions, supporting SAP PP enhancements, and advocating for continuous improvement.

Accounts Payable Specialist-Chinese Bilingual

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 05, 2025

The text describes the role and responsibilities of a position at IBM, which involves assisting with invoice scanning, data entry, error resolution, and processing invoice payments. The role requires a bachelor's degree, proficiency in English and Chinese, experience in invoice handling and tax validation, and strong Microsoft Office and analytical skills. The position also involves participating in Agile ceremonies, using team collaboration tools, and maintaining strong working relationships with stakeholders.

Product Manager Intern Poughkeepsie New York 2026

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 05, 2025

Product Managers at IBM play a crucial role in developing AI-powered solutions by collaborating with cross-functional teams, defining product strategy, and ensuring ethical AI practices. They require strong product management skills, understanding of AI/ML concepts, and experience with Agile methodologies.

Intern – Associate Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes an Associate Consultant Intern role at IBM, where the intern will help clients transform their businesses by understanding their processes, goals, and objectives. The intern will work with leading technologies, develop process maps, translate requirements into analytical specifications, and define current and future operational scenarios. The role requires a high school diploma or bachelor's degree, technical expertise in areas like cloud migration, AI, and networks, and excellent communication skills.

Graduate Software Engineer

Company: IBM

Location: Hursley, GB

Posted Dec 05, 2025

The text is a job description for a Graduate Software Engineer position at IBM's FlashSystem team in Hursley. The role involves developing software for high-performance, resilient, and intelligent storage solutions. The team values diversity, inclusion, and collaboration. The position requires a passion for software engineering, problem-solving skills, and effective communication.

Power Systems Development - Firmware, Hypervisor, Operating Systems, AI Enablement

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

IBM Infrastructure is a catalyst that enables the world to work better by providing hybrid cloud infrastructure to meet clients' demands for heterogeneous environments, data explosion, digital automation, and cybersecurity threats. The company values creativity, innovation, and collaboration across teams to serve clients' needs. IBM offers roles for software engineers, computer scientists, and computer engineers to develop firmware, hypervisors, operating systems, systems management, and AI hardware enablement for the IBM Power brand of enterprise computer systems. The company seeks candidates with relevant education, technical expertise, and a passion for technology and engineering.

Digital Adoption/Training Analyst

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The role of Digital Adoption Training Analyst at IBM Consulting involves helping federal agencies adopt new technologies and digital workflows. The position requires experience with Digital Adoption Platforms (DAPs) such as WalkMe and Whatfix, as well as skills in organizational change management, training strategy development, and client engagement. The role offers the opportunity to work on meaningful projects that support the transformation and modernization of federal agencies across the US.

IBM SevOne - Quality Assurance

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

The job description outlines a role focused on developing and executing functional and performance automation scripts using open source tools. The position involves performing usability, functional, and regression testing, as well as evaluating and testing software bug fixes, extensions, and features. The role requires collaboration with Product Management, Development, and Architecture teams to understand and guide product features and testing. The ideal candidate should have experience with Playwright, JSTS, Selenium, Python, PHP, JavaScript/TypeScript, Bash, JSON, YAML, Jmeter, Gatling, Postman, Linux admin skills, MySQL queries, Docker, Kubernetes, and networking protocols.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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