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.

Lead ServiceNow Developer (Module: ITOM/ITAM)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working with visionaries, and leveraging IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and the ability to drive meaningful change. The role of an Application Developer with expertise in ServiceNow is also mentioned, focusing on development, customization, and implementation of ServiceNow modules.

Lab Technician

Company: IBM

Location: ROCHESTER, US

Posted Dec 04, 2025

The job description outlines a Hardware Technician role at IBM in Rochester, Minnesota. The position involves ensuring IBM's enterprise hardware products meet global safety standards. The technician will collaborate with engineering teams, conduct safety tests, and support testing in lab environments. IBM fosters a culture of innovation, inclusion, and continuous learning.

Product Manager - ALM Solutions Training

Company: IBM

Location: Mulhuddart, IE

Posted Dec 04, 2025

The role involves developing and maintaining role-based learning paths for sales, technical partners, and customers. The position requires creating and delivering various training materials, collaborating with teams, facilitating training sessions, monitoring effectiveness, supporting certification programs, and continuously updating content. The ideal candidate should have experience in software training, strong communication skills, familiarity with digital learning platforms, and the ability to translate complex technical concepts into accessible learning experiences.

ACCOUNT TECHNICAL REPRESENTATIVE-TALENT TRANSFORMATION

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role in SAP HR Management System. It highlights the importance of knowledge in SAP HR, strong communication skills, and the ability to work with diverse priorities. The role involves inputting employee data, running reports, and providing solutions to issues.

Technology Lifecycle Services Reals Intern – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes an internship opportunity with IBM's Technology Lifecycle Services team. The role involves supporting renewals and expansions, identifying opportunities for service uplift, collaborating with internal teams, and learning to use IBM sales tools. The internship aims to provide hands-on experience in sales strategy, client engagement, and internal collaboration within a global technology company.

Prompt Engineer

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on long-term client relationships, digital transformation, and leveraging AI and agile methodologies. It highlights the importance of curiosity, continuous learning, and collaboration in a supportive work environment.

Application Developer-Experience Front End

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves software development for hybrid cloud and AI, requiring expertise in React, NodeJS, and collaboration with stakeholders. The position emphasizes problem-solving, continuous learning, and working with innovative clients through IBM's technology platforms.

Application Architect - Java & Web Technologies (Public Sector)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with leading professionals, deliver effective solutions, and drive business change using the latest technology platforms. The company provides training, promotion opportunities, diversity and inclusion, work-life balance, and traditional benefits. The role is for a Senior Application Architect specializing in Java and web technologies to lead the design and development of enterprise applications.

Digital Technical Specialist - Red Hat

Company: IBM

Location: Austin, US

Posted Dec 04, 2025

The text is a job description for a Sales Digital Technical Specialist role at IBM, supporting Red Hat. It highlights the company's global presence, focus on solving big problems using various technologies, and the need for talented sales professionals. The role involves being a technical expert and advisor, collaborating with teams, driving sales processes, delivering workshops and demonstrations, and maintaining product knowledge. The position is based in Austin, TX, with a hybrid work arrangement.

Industry Consultant for Financial Services

Company: IBM

Location: Tokyo, JP

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working on challenging projects, and leveraging IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth in the role of an Industry Consultant.

Full Stack Developer Intern

Company: IBM

Location: Antwerpen, BE

Posted Dec 04, 2025

This text promotes an IBM Consulting internship offering professional growth, collaboration with global clients, technical skill development, and exposure to innovative technologies. It emphasizes career advancement, mentorship opportunities, and a culture of continuous learning.

Network Automation Lead (WAN/LAN)

Company: IBM

Location: WASHINGTON, US

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities to work with visionaries, improve hybrid cloud and AI, and leverage strategic partnerships. It emphasizes the importance of curiosity, knowledge, and continuous learning. The role of a Network Automation Lead is also mentioned, focusing on designing, developing, and maintaining network automation 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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