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.

z Delivery Consultant, GDPS

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The IBM Technology Expert Labs is seeking an IBM GDPS IT Management Consultant with expertise in IBM Z and Storage technology. The role involves leading and delivering presales and postsales client engagements to enable the adoption of IBM GDPS. Ideal candidates will have a successful history of implementing IBM GDPS engagements, be familiar with sysplex architectural methods, and possess strong zOS Parallel Sysplex Networking and Automation skills.

SAP領域のAMSプロジェクトマネジャー

Company: IBM

Location: Tokyo, JP

Posted Dec 04, 2025

The text describes a role at IBM where employees work with global clients to drive hybrid cloud and AI transformations. It emphasizes the importance of curiosity, continuous learning, and creativity in generating impactful solutions. The role involves project management for SAP application management services, including planning, execution, risk management, and optimization.

Transformation Consultant - Public Cloud

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 04, 2025

The job description outlines the role of a Transformation Consultant for SAP Public Cloud at IBM Consulting. The position involves assessing systems, developing migration strategies, designing and implementing SAP-based cloud solutions, optimizing costs, leading projects, managing change, and continuously improving financial solutions. The role requires a bachelor's degree, preferably a master's, with at least 5 years of experience in SAP and public cloud technologies. Strong analytical, problem-solving, and project management skills are essential, along with excellent communication and interpersonal abilities.

SOAR Engineer

Company: IBM

Location: Chennai, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the importance of long-term relationships, collaboration, and innovation. It emphasizes the need for curiosity, continuous learning, and the ability to work in a fast-paced environment. The role involves incident response, security incident investigation, and threat hunting using SIEM tools like Qradar.

Infrastructure Specialist - Cloud Application Operations

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunity to work with visionaries across industries, improve hybrid cloud and AI journeys, and leverage IBM's strategic partner ecosystem and technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth in a culture of evolution and empathy.

Service Support Reprensatitave N.W. Texas

Company: IBM

Location: COPPELL, US

Posted Dec 04, 2025

The text describes the role and responsibilities of commercial and consumer representatives who provide support services for high-volume commercial products like Lenovo PC and Apple. They are responsible for onsite installation, maintenance, repair, and problem resolution, using IBM tools to drive automation and improve client operations. The role requires technical expertise, problem-solving skills, and strong interpersonal skills to ensure high client satisfaction.

Application Consultant-Banking

Company: IBM

Location: Taipei, TW

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the role of an Application Consultant who works closely with clients to improve their hybrid cloud and AI journey. The position requires strong technical skills, experience in system analysis and design, and the ability to develop proposals, analyze requirements, and design future-ready architectures.

Desenvolvedor(a) Salesforce Industries

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, emphasizing innovation, career growth, and technical expertise in Salesforce. It highlights opportunities for professional development and impactful solutions across industries, with a focus on strategic partnerships and continuous learning.

Procurement Professional- SC (Japanese Bilingual)

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 04, 2025

IBM is a leader in the worldwide transformation and offers opportunities for career development in Procurement. The company values openness, collaboration, and trust, and encourages innovation. The role involves end-to-end tactical buying, RFx steps, low-value sourcing activities, creating global agreements, engaging with clients, managing engagements, preparing cost modeling, and supporting supplier performance management.

Designer Internship

Company: IBM

Location: Antwerpen, BE

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Interns can enhance their knowledge, gain professional experience, and build a compelling portfolio by working on client projects. The role provides opportunities to develop skills in creative design, user-centric research, design thinking workshops, and visual design.

Web Developer – Entry Level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

The IBM Client Innovation Centre in Nova Scotia offers a unique position at the intersection of business and technology. The role involves designing, developing, and delivering modern web applications using frontend frameworks and cloud technologies. The position requires a Bachelor's degree, experience with JavaScript, TypeScript, and modern frontend frameworks, and exposure to backend or fullstack environments.

Senior AI Developer

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

This job description outlines a role in Kochi, India, focusing on AI and data engineering for digital transformation. Responsibilities include designing AI agents, developing data pipelines, and collaborating with global teams. The position requires expertise in Python, SQL, and IBM Watsonx Orchestrate, with opportunities to drive business outcomes through innovative solutions.

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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