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.

SAP HR Functional Consultant

Company: IBM

Location: Buffalo, US

Posted Dec 04, 2025

The job posting is for a Mid-Level SAP HR Consultant to support and enhance the SAP Human Resources landscape. The role involves configuring and supporting SAP HR modules related to core Hire-to-Retire functions, collaborating with HR, Talent, and Finance teams, and ensuring accurate data integration. The candidate must be willing to relocate to Buffalo, NY.

SAP Principal Solution Architect - Human Capital Management and SuccessFactors

Company: IBM

Location: Riyadh, SA

Posted Dec 04, 2025

The text describes the role and responsibilities of an SAP Human Resources Solution Architect, who is responsible for designing, optimizing, and implementing comprehensive HR solutions using SAP SuccessFactors and SAP S/4HANA HR. The role involves strategic roadmap definition, solution design, business partnership, implementation oversight, performance scalability, security, and leadership mentorship.

Application Developer-Microsoft .NET Stack

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on software development using Microsoft technologies. It highlights the role's responsibilities, required education, and technical expertise. The position involves collaborating with clients globally to improve hybrid cloud and AI solutions.

Data Migration Technical 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 long-term growth. The company provides training, promotion opportunities, diversity and inclusion, flexible work policies, and traditional benefits. The role involves designing, developing, and supporting Oracle eBS application solutions, collaborating with teams, and ensuring data integrity during migration.

Data Engineer

Company: IBM

Location: Multiple Cities

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, flexible work policies, and traditional benefits. The role involves leading data integration projects, mentoring junior engineers, and shaping technical direction.

Data Scientist Intern 2026 (Buffalo, NY)

Company: IBM

Location: Buffalo, US

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Interns can enhance knowledge, gain experience, and build a compelling portfolio by working on client projects. The role emphasizes continuous learning, skill development, and personal growth within a culture of coaching and mentorship.

Technology Expert Labs - Delivery Consultant

Company: IBM

Location: Seoul, KR

Posted Dec 04, 2025

The IBM Technology Expert Labs team offers a rewarding career delivering world-class services to clients. As a Delivery Consultant, you will work closely with clients to design, deliver, and optimize IBM technology solutions. The role requires expertise in data and AI technologies, programming, and machine learning. The company provides excellent onboarding, a collaborative culture, and opportunities for career growth.

Azure Cloud FullStack Developer - (Public Sector/Defence)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers career growth, training, and a supportive culture for tech professionals, emphasizing innovation and work-life balance.

AWS Cloud Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunity to work with visionaries across industries, improve hybrid cloud and AI solutions, and leverage IBM's strategic partner ecosystem and technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth in the role.

Associate Designer-User Experience Design

Company: IBM

Location: BANGKOK, TH

Posted Dec 04, 2025

The text describes the Associate Program at IBM Consulting, which offers opportunities to work with diverse clients worldwide. It emphasizes professional development, ongoing learning, mentorship, and personal growth. The role of an Associate Designer involves improving digital innovation, conducting user research, creating wireframes and prototypes, and collaborating with various teams.

Consultant Manager Transformation - SAP Public Cloud Finance IBM France H/F

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a Transformation Consultant role at IBM Consulting, focusing on guiding organizations through the transition of their financial operations to SAP-based public cloud platforms. The role involves assessment, strategy development, solution design, implementation, cost optimization, project leadership, change management, and continuous improvement. The position requires a blend of financial acumen, SAP expertise, and public cloud knowledge.

Automation Test Specialist - Defence

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centres Delivery Centres, delivering technical and industry expertise to clients worldwide. It emphasizes long-term relationships, collaboration, and a culture of evolution and empathy. The role requires designing and maintaining automated test scripts, collaborating with cross-functional teams, and participating in Agile development methodologies.

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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