Machine Learning Jobs

Positions 425,970 Updated daily

Machine learning is reshaping industries from finance to healthcare. Demand for talent spikes as companies adopt predictive analytics, automated underwriting, and personalized medicine. Data‑driven product teams need engineers who can translate theory into scalable solutions using TensorFlow, PyTorch, or AWS SageMaker.

Within the field you’ll find roles such as ML Engineer, responsible for productionizing models, Data Scientist building prototypes, Research Scientist pushing algorithmic frontiers, ML Ops Engineer focusing on CI/CD pipelines, and AI Product Manager bridging tech and business. Typical duties include feature engineering, model training, hyper‑parameter tuning, model monitoring, and collaborating with data engineers to maintain data pipelines.

Salary transparency is vital for ML professionals because the field’s rapid evolution creates pay disparities across domains. Knowing the market range for a TensorFlow‑based model deployer in New York versus a research scientist in Seattle helps candidates negotiate realistic offers, assess equity and bonus structures, and prevent skill‑based wage gaps.

IT Lab Tech Apprentice

Company: IBM

Location: TUCSON, US

Posted Dec 15, 2025

The IBM Infrastructure Lab Technician Apprentice role offers hands-on experience in hardware support, learning opportunities, and career growth within a structured apprenticeship program. It emphasizes collaboration, technical skills development, and real-world application of knowledge in a dynamic work environment.

Intern 2026: Computational approaches to design de-novo molecules

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes IBM Research's mission to innovate in computing and solve impactful problems. It outlines a project designing proteins to interact with cell membranes, involving simulations and experiments. The role requires computational expertise and collaboration, with opportunities to contribute to research and presentations.

IBM Cloud Kubernetes Platform Engineer

Company: IBM

Location: BUDAPEST, HU

Posted Dec 15, 2025

IBM Cloud is expanding its Kubernetes and OpenShift services, seeking skilled developers to contribute to a growing platform with global impact. The role involves working on critical infrastructure, collaborating with cross-functional teams, and leveraging automation tools for scalable cloud-native solutions.

Application Developer-Microsoft Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This role involves collaborating with clients on hybrid cloud and AI projects using Microsoft technologies, requiring expertise in software development and agile practices. The position emphasizes innovation, technical collaboration, and career growth opportunities within IBM's global ecosystem.

Intern 2026: AI-based forecasting of molecular interactions

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM Research emphasizes innovation and problem-solving in technology development. The internship focuses on analyzing Wnt protein interactions using machine learning, requiring expertise in Python and high-performance computing. The role involves collaborative research, data analysis, and contributing to scientific publications.

Technical Consultant-AIOps

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role as an AIOps Technical Consultant at IBM, focusing on driving digital transformation through AI and ML techniques. The position involves assessing client infrastructure, implementing AIOps platforms, and optimizing IT operations to enhance reliability and efficiency. Required skills include programming languages, NLU/NLP techniques, and certifications in ITIL/DevOps.

PTP- Project Manager

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation through agile methodologies and AI, and opportunities for innovation. It emphasizes growth, mentorship, and technical expertise in finance domains with a strong emphasis on process improvement and technology integration.

Entry Level Technical Project Manager

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description outlines a project manager role involving coordination of a complex documentation platform, requiring organizational skills, cross-functional teamwork, and problem-solving. It highlights growth opportunities, mentorship, and the impact of the role on project success.

IT Recruiter (Process Delivery Specialist)

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM Services seeks a Recruitment Specialist with experience in bulk hiring and ATS management. The role involves sourcing, screening, and coordinating candidates globally, emphasizing innovation and excellence through technology-driven methodologies.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, working in innovation centers, and developing features with stakeholders. Required skills include Java, Springboot, and Angular.

PROCESS DELIVERY SPECIALIST-LEASE AND CONTRACT ADMINISTRATION

Company: IBM

Location: Chennai, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on digital transformation through collaboration with global clients. It emphasizes opportunities for growth, strategic partnerships, and impactful work in hybrid cloud and AI initiatives. The role requires expertise in learning administration, technical skills, and strong communication abilities.

Tester (HS)

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM CIC offers extensive career growth opportunities, training programs, and a supportive work environment, emphasizing innovation and professional development through diverse projects and global client engagement.

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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