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.

PROCESS DELIVERY SPECIALIST-PROCURE TO PAY

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Process Associate in Procure to Pay. It highlights the collaborative and innovative work environment, the use of agile methodologies and AI, and the support provided by mentors and coaches. The role involves transaction processing, vendor account management, and adherence to SLAs.

Infrastructure Specialist - System Administration

Company: IBM

Location: Multiple Cities

Posted Dec 05, 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. The role involves developing infrastructure strategies for cloud-based solutions, administering environments, and mentoring junior specialists.

Application Developer-AWS Cloud FullStack

Company: IBM

Location: Mysore, IN

Posted Dec 05, 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 continuously learning new technologies. Required skills include problem-solving, communication, and expertise in programming languages like Java, .NET, Node.js, Python, Ruby, and Angular.js.

Senior Salesforce Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 05, 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 solutions. The company values curiosity, continuous learning, and challenges the norm to deliver innovative solutions. The Global Cloud Services Practice seeks Salesforce consultants to help clients integrate strategy, process, technology, and information to improve effectiveness, reduce costs, and increase profit and shareholder value.

Software Development Engineer in Test (SDET) - Defence

Company: IBM

Location: Multiple Cities

Posted Dec 05, 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 values curiosity, continuous learning, diversity, and inclusion. It provides training, promotion opportunities, feedback, and benefits like flexible working, sabbaticals, and pension plans. The role of Software Development Engineer in Test involves designing, developing, and implementing automation solutions using tools like Red Hat Ansible, HashiCorp Terraform, and IBM RNA.

Entry Level Software Engineer 2026

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

IBM seeks software developers to work on strategic initiatives, design, code, test, and provide industry-leading solutions. The Electronic Design Automation (EDA) organization develops software tools for hardware and semiconductor development, focusing on microprocessor design and functional verification. The role requires strong algorithmic programming skills, experience with object-oriented and scripting languages, knowledge of digital circuit and logic design, and excellent communication and collaboration abilities.

Back-End-developer Storage NooBaa

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

This job posting highlights opportunities to work on innovative AI-powered cloud-native solutions, collaborate with global teams, and contribute to impactful software development. The role emphasizes technical expertise, continuous learning, and career growth within IBM's research and technology landscape.

Associate Incident Response Consultant 2026

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text is an introduction to the IBM Consulting Associate Program, specifically for the XForce Incident Response team. It highlights the opportunities for professional development, ongoing learning, and the chance to work with a diverse range of clients worldwide. The role involves incident response, threat hunting, forensic investigations, and cyber crisis management.

Consultant(e) Stagiaire IAOps– IBM France H/F

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 05, 2025

The text is a job posting for a 6-month internship at IBM's AMS AI OPS team. The role involves operational management and deployment of AI solutions in a dynamic environment. Key responsibilities include process automation, DevSecOps practices, data analysis, pipeline optimization, and performance monitoring. The ideal candidate should have a Master's degree in AI, DevSecOps, or Cloud technologies, proficiency in data science, machine learning, and cloud tools, and strong communication skills.

Digital Sales Specialist– Entry Level Sales Program 2026

Company: IBM

Location: Markham, CA

Posted Dec 05, 2025

IBM is evolving its technology sales approach to break boundaries with innovative methods. They are seeking recent graduates who can combine technical skills with people skills to prospect and co-create solutions with clients. The role of a Digital Seller involves qualifying leads, converting them into business opportunities, and collaborating with colleagues to support deal closure. The position requires confidence, motivation, business acumen, and excellent communication skills.

CYBERSECURITY ENGINEER

Company: IBM

Location: Praha, CZ

Posted Dec 05, 2025

The text describes an opportunity to work on quantum-resistant security solutions at IBM. It outlines the role and responsibilities, which include researching quantum computing threats, learning post-quantum cryptography, and supporting the development of quantum security pilots. The position offers mentoring, hands-on experience with cutting-edge technologies, and a path to start a career in cybersecurity consulting.

(2026 Campus Hire) Associate Business Consultant | Apply by Jan. 2, 2026

Company: IBM

Location: Taipei, TW

Posted Dec 05, 2025

The text describes a career opportunity at IBM Consulting, highlighting the role of an Associate Business Consultant. The position involves working with clients globally, collaborating with visionaries, and contributing to business analysis, project delivery, and digital transformation. The role requires strong analytical skills, communication abilities, and experience with project management 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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