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.

AI Engineer (f/m/x)

Company: IBM

Location: Zurich, CH

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. As a Data Scientist, you will solve business problems using tools like Python, R, and TensorFlow, prepare and analyze data, implement AI models, and communicate results to clients. The role offers individual career paths, training opportunities, a knowledge-sharing culture, and the chance to work on projects in a large IT company.

Software Engineer - Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM Software is seeking talented Platform Security engineers to join their Security Engineering Team. The role involves designing, building, and owning security features in Datastax products, especially for the Astra suite. The ideal candidate should have 4-6 years of relevant experience, solid coding skills in Golang, Java, or Python, and a good understanding of large-scale distributed systems and microservices architecture.

Federal Cyber Security Apprentices (Rocket Center, WV)

Company: IBM

Location: Rocket Center, US

Posted Dec 04, 2025

The role is a Cyber Security Apprentice position at IBM Consulting, working in a Security Operations Center. The position involves monitoring and auditing client systems, investigating potential security violations, performing vulnerability assessments, and maintaining security system infrastructure. The apprenticeship program provides a nationally recognized credential and opportunities for learning and growth.

PROCESS DELIVERY SPECIALIST-PROCURE TO PAY

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, specifically in the IBM BPO division. It highlights the role of a Process Analyst responsible for various tasks related to invoice processing, vendor management, and payment reconciliation. The position requires a bachelor's degree, preferably a master's degree, and experience in accounts payable and invoice management. The role involves working with stakeholders, meeting service level agreements, and utilizing Microsoft Office and ERP software.

Java Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 04, 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 problem-solving skills. The role involves software development, analytical problem-solving, stakeholder engagement, and working with the latest technologies.

Associate Package Consultant - Entry Level (Baton Rouge, LA)

Company: IBM

Location: BATON ROUGE, US

Posted Dec 04, 2025

IBM Consulting offers a Associates Program for university hires, providing opportunities to work with diverse clients worldwide. The role involves assisting clients in selecting, implementing, and supporting application packaged solutions. The company focuses on professional development, continuous learning, and personal growth in a culture of coaching and career advancement.

Data Scientist-Advanced Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. As a Data Engineer, you will harness data to uncover insights, collaborate with diverse teams, and implement predictive models, enterprise search applications, and data management systems. The role requires a Bachelors Degree and expertise in COBOL, JAVA, and code generation using LLM capabilities.

Data Engineer - Data Integration

Company: IBM

Location: Cairo, EG

Posted Dec 04, 2025

The text describes a job role requiring data architecture development, KPI tracking, business report creation, and data-driven optimization. It outlines educational qualifications, technical expertise in data science and visualization tools, and preferred skills like Python and NLP. The position emphasizes analytical and collaborative abilities for stakeholders.

Senior IBM Cloud Kubernetes Platform Engineer

Company: IBM

Location: BUDAPEST, HU

Posted Dec 04, 2025

The text highlights IBM Cloud's growth in Kubernetes and OpenShift platforms, emphasizing opportunities for skilled developers to contribute to a globally impactful team. It outlines role responsibilities, required expertise in containerization, networking, and cloud-native development, along with preferred qualifications and tools for success.

Data Analyst

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. As a Data Engineer, you will gather, store, and process data, collaborate with diverse teams, and implement predictive models. The position requires a Bachelors Degree and skills in data visualization, reporting, spend analysis, SQL, data modeling, and business acumen in procurement.

Associate Quality Engineer - Entry Level (Baton Rouge, LA)

Company: IBM

Location: BATON ROUGE, US

Posted Dec 04, 2025

The IBM Consulting Associate Program offers university hires the opportunity to work with diverse clients worldwide, focusing on professional development, technical skills, and personal growth. Associates will collaborate with visionaries across industries to improve hybrid cloud and AI solutions, leveraging IBM's strategic partner ecosystem and technology platforms. The role requires a Bachelor's degree, willingness to work in Baton Rouge, Louisiana, and experience with testing, Agile methodology, Java fundamentals, and Jira.

Backend Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM is seeking an innovative and experienced Software Developer to join their team and work on developing AI-infused features for their hybrid cloud products. The role involves designing and developing complex new features, enhancing existing product capabilities, and contributing to project planning, tracking, and execution. The ideal candidate should have a strong background in Java and web technologies, experience with various tools and platforms, and excellent communication and collaboration skills.

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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