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.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The role of an Associate Software Developer at IBM involves working in a Client Innovation Center, collaborating with diverse teams, implementing predictive models, designing enterprise search applications, and building data integration programs. The position requires a Bachelor's degree, expertise in Azure Databricks, Python, SQL, and Azure DevOps, and strong communication skills.

AI Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that enables the world to function better by providing hybrid cloud infrastructure to meet the demands of heterogeneous environments, data explosion, digital automation, and cybersecurity threats. The company seeks a motivated and technically skilled professional to join their AI and Data Science development team, where they will contribute to designing, developing, and implementing AI solutions, collecting and analyzing data, and optimizing company performance. The role requires proficiency in Python, React, machine learning algorithms, software engineering principles, and MLOps tools.

Java Developer - Leicester

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text promotes IBM CIC's job opportunities, highlighting career growth, training programs, flexible work arrangements, and a supportive work environment. It emphasizes innovation, professional development, and a culture of inclusivity while outlining technical requirements for a Java Developer role.

Red Hat Solutions Growth Leader

Company: IBM

Location: San Jose, US

Posted Dec 04, 2025

The job posting describes a growth leader role combining technical and sales skills to lead IBM Technology IBM Consulting and Red Hat team members. The role involves working with clients to use Red Hat technology in their enterprise, integrated by IBM Consulting. The position requires strong experience in running technical go-to-market campaigns in application transformation and cloud infrastructure, as well as the ability to build relationships with CXOs and their teams.

Application Developer-Cloud FullStack

Company: IBM

Location: Hyderabad, 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 clients globally, and utilizing IBM's technology platforms. The role requires 4-6 years of experience in full stack development, including Java Spring Boot, Angular, and Microservices.

Apptio Strategy Advisor - IBM Germany (f/m/x)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The Strategy Advisor role at Apptio focuses on driving customer success through strategic leadership, TBM expertise, and cross-functional collaboration. It requires strong communication, innovation, and the ability to influence at all organizational levels.

Data Scientist (m/w/d) mit guten Deutschkenntnissen

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Data Scientists at IBM work on solving business problems using leading-edge tools and technologies, with a focus on data analysis, model development, and communication of results to both technical and non-technical audiences.

Data Engineering Internship

Company: IBM

Location: Casablanca, MA

Posted Dec 04, 2025

The text describes a career in IBM Consulting, focusing on data engineering roles. It highlights the importance of long-term relationships with clients, collaboration, and continuous learning. The role involves developing data pipelines, working with cloud data platforms, data modeling, documentation, and automation. Preferred experience includes SQL, data warehousing, and cloud platforms like GCP, AWS, Azure, and Snowflake.

Customer Success Engineer

Company: IBM

Location: Austin, US

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role as a Customer Success Engineer (CSE) for HashiCorp tools. The CSE role involves helping customers adopt and optimize HashiCorp solutions, driving value attainment, and ensuring customer success throughout the customer journey. The position requires technical expertise, strong communication skills, and the ability to work in a dynamic environment.

Associate SAP Functional HR - Entry level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

The text is a job description for an Associate role at IBM, specifically for a Package Consultant position. It highlights the responsibilities, required education, technical expertise, and skills needed for the role. The position involves working in IBM's Client Innovation Centers, collaborating with business teams, resolving functional issues, and supporting SAP system implementations. The role requires a Bachelor's degree, strong Excel skills, and knowledge of at least one SAP module. The company values passionate, original thinkers who are eager to learn, solve problems, and drive progress.

Mainframe System Administrator Apprentice

Company: IBM

Location: Dallas, US

Posted Dec 04, 2025

IBM offers an apprenticeship program for aspiring mainframe system administrators. The program provides hands-on experience, training, and mentorship to develop skills in mainframe computing, system administration, and related technologies. Apprentices work collaboratively in teams, contribute to projects, and earn digital credentials upon completion.

Application Developer-AWS Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI initiatives. The position involves comprehensive feature development, stakeholder collaboration, and continuous learning. Required skills include expertise in programming languages and container-based solutions, with preferred experience in distributed systems and development lifecycle tools.

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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