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.

Application Developer-Microsoft .NET

Company: IBM

Location: Chennai, IN

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration, working with clients to advance hybrid cloud and AI solutions. The role emphasizes technical expertise, continuous learning, and impactful problem-solving in a supportive environment.

Business Transformation Consultant

Company: IBM

Location: Dublin, IE

Posted Dec 15, 2025

This job posting seeks a Business Change and Training Consultant to lead transformation initiatives, manage stakeholder engagement, and deliver training programs for a major client's digital transformation efforts. The role emphasizes change management, training strategy, and collaboration with cross-functional teams to ensure successful adoption of new systems.

Talent Acquisition – Selection Specialist (Fixed Term) PH

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description for a Recruiting Selection Specialist at IBM highlights opportunities to lead in technology, solve complex problems, and collaborate with stakeholders. The role emphasizes continuous learning, innovative approaches, and a growth mindset while managing high-volume hiring processes and leveraging data-driven strategies.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, stakeholder engagement, and technical expertise in Java, React, and cloud technologies. The role involves comprehensive software development, continuous learning, and delivering impactful solutions for innovative companies.

Content Manager 8 Software Developer Support Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description highlights a role in technical support for IBM Content Manager 8, emphasizing collaboration, problem-solving, and customer satisfaction. It outlines responsibilities, required skills, and the opportunity to work with cutting-edge technologies while contributing to global support teams.

UX Design intern

Company: IBM

Location: BUDAPEST, HU

Posted Dec 15, 2025

This text outlines a UX design internship opportunity at IBM Studios Budapest, requiring collaboration with cross-functional teams, design research, and adherence to design systems. It details responsibilities like user testing, information architecture, and agile methodologies, while specifying educational requirements and work expectations.

Data Engineer

Company: IBM

Location: Heredia, CR

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, innovation, and professional growth opportunities. The role requires data engineering expertise and involves working with advanced technologies to deliver impactful results.

Application Developer-Oracle Middleware

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and technical expertise in areas like ODI, Oracle Database Integrator, and API integration. It outlines responsibilities such as feature development, stakeholder collaboration, and continuous learning, along with educational and technical requirements for the position.

Application Developer - STUDENT CONVERSION

Company: IBM

Location: Ciudad Autónoma De Buenos Aires, AR

Posted Dec 15, 2025

The text describes IBM Consulting's role focusing on innovation, client collaboration, and professional growth opportunities. It emphasizes technical expertise, career development, and working on impactful projects with global clients.

Internship: Developer Java & Web

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This text promotes an internship at IBM Consulting, highlighting opportunities for career growth, technical expertise, and professional development through collaborative projects and mentorship programs.

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.

Mobile Architect

Company: IBM

Location: San Felice, IT

Posted Dec 15, 2025

This role involves developing mobile applications for clients, collaborating with cross-functional teams, and requiring expertise in Flutter, Kotlin/Swift, and UI design. The position emphasizes innovation, performance optimization, and working with global clients through IBM's technology platforms.

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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