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.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a software developer role. The role involves working on hybrid cloud and AI projects, collaborating with stakeholders, and developing high-quality software. Required skills include Java, React, Redux, and experience with databases like SQL, NoSQL, Postgres, MongoDB, or Cassandra.

Java Developer - Leicester

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with leading professionals, deliver solutions using latest technology, and focus on skills in demand. The company provides training, promotion opportunities, diversity and inclusion, recognition programs, and benefits like flexible working and pension plans. The role requires leadership, mentorship, technical expertise in Java and web technologies, and experience with Agile methodologies and cloud platforms.

Senior Software Developer FileNet Content Manager

Company: IBM

Location: San Jose, US

Posted Dec 04, 2025

IBM FileNet Content Manager is an enterprise content management platform. The company is seeking an innovative, experienced software developer to build AI-infused features for their products. The role involves working in a dynamic, collaborative environment, mentoring junior developers, and contributing to the full software development lifecycle.

Senior Scrum Master – Defence

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC promotes a supportive work environment with opportunities for career growth, training, and innovation. The role emphasizes collaboration, Agile methodologies, and delivering secure solutions for defense clients, while offering comprehensive benefits and professional development.

Cyber Security Consultant - Data/Application Security

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 values curiosity, continuous learning, and diversity, providing training, promotion opportunities, feedback, and a supportive work-life balance culture.

Infrastructure

Company: IBM

Location: Cheltenham, GB

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with visionaries across industries, improve hybrid cloud and AI, and make meaningful change for clients. The company provides training, promotion opportunities, diversity and inclusion, work-life balance, and traditional benefits. They seek a Java Engineer to lead projects, mentor junior engineers, and shape technical direction.

SAP HANA & CLM Specialist - Cash & Liquidity Management

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunity to work with clients globally, collaborate with visionaries, and drive innovation in hybrid cloud and AI. It emphasizes the importance of curiosity, continuous learning, and long-term career growth. The role involves working in Client Innovation Centers and Delivery Centers, delivering technical and industry expertise to clients across various sectors.

Associate Security Consultant 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting offers a program for university hires to work with diverse clients worldwide. The role involves collecting and analyzing requirements, designing solutions, and implementing advanced security solutions. The company focuses on professional development, continuous learning, and career growth in a culture of coaching and empathy.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a software developer role. The role involves working on hybrid cloud and AI projects, collaborating with stakeholders, and continuous learning. Required skills include Java, Spring framework, CICD tools, test automation, JavaScript frameworks, and cloud platforms.

General Accounting Fresh Graduates

Company: IBM

Location: Naga City, PH

Posted Dec 04, 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. The company values curiosity, continuous learning, and challenges the norm to drive meaningful change for clients.

Senior OCP Consultant

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

The IBM Technology Expert Labs team is seeking a skilled System Administrator Consultant with experience in OpenShift/Kubernetes cluster administration and Linux RHEL-based systems. The role involves managing OpenShift/Kubernetes clusters, RHEL/Linux systems, and implementing best practices for network, storage, and infrastructure. The ideal candidate will have a collaborative and experiential mindset, strong problem-solving skills, and the ability to build effective relationships with clients and partners.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Software Developer. The position involves working on hybrid cloud and AI projects, collaborating with stakeholders, and continuously learning new technologies. The role requires a Bachelor's degree, 6-7 years of experience, and expertise in SAP HANA, ABAP development, and related technologies.

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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