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 Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text highlights IBM Consulting's career opportunities focusing on innovation, collaboration with global clients, and professional growth. It emphasizes roles in AI and hybrid cloud solutions, technical expertise, and a culture of continuous learning and impactful problem-solving.

Federal Data Engineering Co-Op: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The role involves working on client projects, enhancing knowledge, and gaining professional experience. The company prioritizes continuous learning, skill development, and personal growth within a culture of coaching and mentorship.

AI Foundations - Research Scientist - Research Internship: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for an AI Research Scientist Intern position at IBM Research. It highlights the responsibilities, required education, and technical expertise needed for the role. The position involves conducting end-to-end research in artificial intelligence, contributing to the development of IBM's Granite open-source models, and collaborating with a team of scientists, engineers, and designers.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The job role is for a Software Development Manager to lead the design and development of IBM Consulting Advantage Platform. The role involves managing a team of engineers, collaborating with stakeholders, and driving software development activities. Required skills include Python, data analytics, and experience with cloud technologies.

Lead AI Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

IBM Automation and AI group is seeking an experienced AIML Engineer specializing in Large Language Models (LLMs) to join their AIML Center of Excellence team. The role involves collaborating with cross-functional product teams to implement cutting-edge AI capabilities across IBM's Automation product portfolio. Key responsibilities include data collection and management for LLM evaluation and training, LLM integration and implementation, and establishing AIML best practices and innovation.

Service Designer - GDS

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text highlights IBM CIC's career opportunities, emphasizing growth, innovation, and a supportive work environment with benefits like training, flexible working, and diverse team collaboration.

Data Engineer-Data Modeling

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role of a Data Engineer at IBM involves working in Client Innovation Centers to deliver technical expertise to clients. Responsibilities include data gathering, storage, processing, collaborating with teams, implementing predictive models, designing search applications, and working in an Agile environment. Required skills include data modeling, database management, and programming.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The role is an Associate Software Developer at IBM, working in a Client Innovation Center Delivery Center. Responsibilities include data gathering, storage, processing, predictive modeling, and designing enterprise search applications. The role requires a Bachelor's degree, experience with Azure Databricks, Python, SQL, and Azure DevOps, and strong communication skills.

Oracle Cloud Financials Consultant

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, work-life balance, and traditional benefits. The role of Senior Package Consultant for Oracle Finance Cloud involves designing, configuring, and delivering financial solutions, with responsibilities including leading deployments, conducting fitgap analyses, optimizing financial reporting, mentoring, and collaborating with teams.

Technical Specialist Intern 2026 (Monroe, LA)

Company: IBM

Location: MONROE, US

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Interns will work on client projects, gain diverse experience, and develop skills in a culture of continuous learning and mentorship.

AWS Full Stack Developer - Defence

Company: IBM

Location: London, GB

Posted Dec 04, 2025

IBM CIC offers a career with deep technical and industry expertise, opportunities for growth, and a culture that values curiosity and innovation. The company provides training, promotion opportunities, diversity and inclusion, and benefits like flexible working and maternity leave.

Microsoft .NET Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and opportunities for long-term growth. It highlights the importance of curiosity, problem-solving, and technical expertise in a supportive environment that values continuous learning and impactful outcomes.

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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