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.

Spark developer (San Jose/CA)

Company: IBM

Location: San Jose, US

Posted Dec 04, 2025

IBM Software is seeking a skilled Software Developer to join their team. The role involves developing and maintaining high-quality software products using various technologies and programming languages. The position requires experience with Apache Spark, Scala, distributed computing, and cloud platforms.

Associate Package Specialist - Entry-level 2026 (Lansing, Michigan)

Company: IBM

Location: Lansing, 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 through ongoing learning, mentorship, and technical skills. Associates will work in Client Innovation Centers and Delivery Centers, providing deep technical and industry expertise to clients across various industries. The role involves assisting in the selection, implementation, and support of application packaged solutions, requiring strong consulting skills, business knowledge, and packaged solution expertise.

BI Data Engineer

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 latest technology platforms. The company provides training, promotion opportunities, feedback, recognition programs, and benefits like flexible working, sabbaticals, and pension plans. They seek a Senior Business Intelligence Data Engineer to lead design and delivery of advanced BI reporting solutions using Cognos BI, Cognos Analytics, Tableau, and Qlik.

Manager - Learning Operations

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM seeks a Learning and Knowledge Leader to drive development in Risk & Compliance. The role involves strategic planning, team collaboration, and innovation, emphasizing growth and transformation.

Context Engineer - Public Sector

Company: IBM

Location: London, GB

Posted Dec 04, 2025

IBM CIC offers extensive career growth, training, and a supportive work environment with benefits like flexible working and professional development opportunities. The role emphasizes innovation, collaboration, and technical expertise in hybrid cloud and AI solutions.

Accounts Receivable Collections Specialist| Fluent in Hebrew & English

Company: IBM

Location: MADRID, ES

Posted Dec 04, 2025

The job posting is for an Accounts Receivable Analyst position at IBM. The role involves maximizing cash flow through collections, dispute resolution, bad debt prevention, and collaboration with internal and external stakeholders. The ideal candidate should have strong problem-solving, communication, and continuous improvement skills.

Senior Business Analyst - Life Insurance

Company: IBM

Location: Antwerpen, BE

Posted Dec 04, 2025

The text is a job description for a Senior Business Analyst role at IBM Consulting Client Innovation Centers. It highlights the responsibilities, required education, and preferred technical and professional experience for the position. The role involves leading business analysis efforts, defining strategies, mentoring junior analysts, and driving organizational change.

Software Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The job posting is for a software engineer to join the security product development team in Z systems. The role involves understanding product requirements, decomposing them into technical work items, and driving the quality of deliverables. The ideal candidate should have a strong technical aptitude, experience in cloud and containerized deployments, and a passion for continuous learning.

Cloud Backend Developer

Company: IBM

Location: Hyderabad, IN

Posted Dec 04, 2025

IBM Infrastructure offers enterprise IT infrastructure solutions for hybrid cloud and AI. The role involves developing and maintaining key capabilities, supporting customer requirements, and helping service providers onboard. The ideal candidate should have experience in backend development, microservice architecture, and cloud programming practices.

Lead Architect

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 of a Senior Application Architect in Application Automation involves leading the design, development, and implementation of complex automation solutions, mentoring team members, and collaborating with stakeholders.

Application Developer-ServiceNow

Company: IBM

Location: Mysore, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on hybrid cloud and AI solutions. It highlights the role of a Software Developer, emphasizing collaboration, continuous learning, and technical expertise. The position offers opportunities to work with clients globally and contribute to innovative projects.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This text describes a career opportunity at IBM Consulting focusing on digital transformation, collaboration with global clients, and professional growth. It highlights responsibilities in recruitment, sourcing strategies, and partnership management, emphasizing innovation and impactful work across industries.

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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