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.

Cyber Security Consultant - Infrastructure Security

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers diverse career opportunities with extensive training, growth, and a supportive work environment, emphasizing innovation and client impact.

MuleSoft Developer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career in Salesforce development with opportunities for growth, training, and a supportive culture. The role involves leading projects and integrating technologies, with benefits including flexible work and professional development.

Senior Salesforce Developer - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text promotes IBM CIC's career opportunities, highlighting benefits like training programs, career growth, work-life balance, and a supportive work environment. It emphasizes innovation, professional development, and inclusive culture while outlining requirements for a Senior Salesforce Developer role.

Engenheiro(a) de Dados – Modelagem de Dados

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

The text describes a career at IBM Consulting, focusing on long-term relationships and close collaboration with clients worldwide. The role involves working with visionaries across industries to improve hybrid cloud and AI journeys for innovative companies. The position requires curiosity, continuous learning, and the ability to challenge norms, present creative solutions, and drive innovative impact. The company culture emphasizes long-term professional growth, development opportunities, and valuing unique skills and experience.

Accounts Receivable Collections Specialist| Fluent in German & English

Company: IBM

Location: MADRID, ES

Posted Dec 04, 2025

IBM is seeking a proactive and results-driven Accounts Receivable Analyst to join their AR team. The role involves maximizing cash flow through effective collections, dispute resolution, bad debt prevention, and collaboration with internal and external stakeholders. The ideal candidate should have strong problem-solving, communication, and continuous improvement skills.

Internship - Linux on IBM Z System Performance (m/f/x)

Company: IBM

Location: Ehningen, DE

Posted Dec 04, 2025

The text describes various projects and roles within the Linux on IBM Z and LinuxONE Systems Performance team. It highlights the need to upgrade the UI of a web application called zPirate using the React framework, the unique capabilities of the Jinsight profiling agent for Java performance analysis, and the use of AI to detect invalid and incomplete performance data measurements. The text also outlines the required and preferred skills for each project.

System Support Tech Apprentice

Company: IBM

Location: Austin, US

Posted Dec 04, 2025

IBM offers an apprenticeship program for Systems Support Apprentices to work with experienced engineers and mentors, applying hardware knowledge and learning new technologies. The program provides a nationally-recognized credential and opportunities for full-time roles after graduation.

Application Developer-Microsoft Analytics

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on long-term client relationships and collaboration across industries. The role of an Infrastructure Specialist involves supporting infrastructure for various sectors, requiring expertise in Microsoft technologies, SQL, DAX, and Azure. Preferred experience includes C#, PowerShell, and knowledge of DENEB, Vega, and JSON.

InfoSphere Optim Technical Support Professional

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

IBM Optim is a data management solution that helps organizations manage data throughout its lifetime. The role involves providing technical support to customers, collaborating with development and support organizations, and contributing to department goals. The position offers opportunities to work with the latest technologies and grow skills in IBM's key data management products.

HR Onboarding professional

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The Onboarding Specialist role is crucial in delivering a seamless, engaging, and inclusive onboarding experience for new hires at IBM. The role involves managing end-to-end onboarding processes, acting as the primary point of contact for new hires, conducting orientation sessions, collaborating with internal teams, ensuring compliance, and continuously improving onboarding documentation, workflows, and digital tools. The ideal candidate should have strong Japanese language proficiency, a background in HR operations, and a passion for creating positive employee experiences.

Associate Quality Engineer - Entry Level (Monroe, LA)

Company: IBM

Location: MONROE, US

Posted Dec 04, 2025

The IBM Consulting Associate Program offers a diverse range of clients, professional development opportunities, and a culture of continuous learning and growth. Associates will work in Client Innovation Centers and Delivery Centers, collaborating with visionaries across industries to drive innovation and solve complex business problems using technologies like Java, Jira, and automated testing tools.

Domain Trainer - Learning

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text is a job description for a Service Delivery Management role at IBM Consulting. It outlines the responsibilities, required education, and technical expertise for the position. The role involves ensuring service level agreements are met, managing team performance, documenting processes, conducting team meetings, managing volumes, handling escalations, ensuring business controls, resolving issues, providing training, maintaining backup systems, conducting quality assurance reviews, identifying process improvements, managing change, financial management, and more. The position requires a bachelor's degree and experience with an LMS tool and trainer education background.

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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