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.

Account Executive

Company: Botkeeper Inc

Location: Remote

Posted Dec 14, 2025

This job description outlines the responsibilities and qualifications for an Account Executive role at Botkeeper, emphasizing growth-driven sales, account ownership, and performance metrics. It highlights required skills, certifications, and benefits like competitive compensation and remote work opportunities.

Senior Full Stack Developer

Company: Guidehouse

Location: USA

Posted Dec 14, 2025

This job posting seeks a FullStack Developer with expertise in cloud technologies and Agile practices for a role involving modernization projects and AWS cloud solutions. The position offers competitive compensation, comprehensive benefits, and opportunities for professional growth within a supportive work environment.

Senior Jira Administrator

Company: Canonical

Location: EMEA

Posted Dec 14, 2025

Canonical, a leading open-source software provider, is seeking a Jira Administrator to manage their Atlassian Jira Cloud platform. The role involves automation, integration, and data-driven decision-making within a global team. The company emphasizes innovation, remote work flexibility, and competitive benefits, positioning itself as a pioneer in open-source technology.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and impactful work with innovative companies. It emphasizes growth opportunities, mentorship, and responsibilities in accounts receivable management with advanced technologies.

Account Executive - Large Enterprise

Company: Zapier

Location: North America

Posted Dec 14, 2025

Zapier is seeking a Large Enterprise Account Executive to drive strategic adoption of automation and AI solutions for large organizations. The role involves collaborating with executives and technical teams, navigating complex sales cycles, and contributing to product strategy. The company emphasizes a remote work culture, diversity, and growth opportunities while promoting responsible AI use.

Digital Sales Specialist

Company: IBM

Location: Valencia, ES

Posted Dec 15, 2025

This text promotes an IBM Global Sales role emphasizing collaboration, innovation, and career growth opportunities. It highlights working with clients, driving digital transformation, and being part of a supportive global team focused on solving business challenges through technology and expertise.

Director, Medical Portfolio Lead - Women's Health

Company: Viatris

Location: USA

Posted Dec 14, 2025

Viatris Specialty LLC emphasizes empowering people worldwide through healthcare innovation and stability. The role of the US Womens Health Medical Portfolio Lead involves ensuring safe medicine use, strategic planning, and stakeholder engagement while maintaining independence from commercial influence. The position requires expertise in medical affairs, strong communication skills, and alignment with company objectives.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global collaboration, digital transformation, and client relationship management. The role emphasizes agile methodologies, AI-powered workflows, and strategic partnerships to drive innovation and operational excellence across industries.

Personal Injury Protection (PIP) Adjuster

Company: Reserv

Location: USA

Posted Dec 14, 2025

Reserv is an insurtech company leveraging AI and automation to revolutionize claims processes, seeking detail-oriented professionals for a PIP Resolution Specialist role with competitive benefits and flexible work arrangements. The position emphasizes innovation, customer service, and collaboration while offering opportunities for growth and professional development.

Software Development Engineer II - API

Company: Mapbox

Location: USA

Posted Dec 14, 2025

Mapbox is a leading platform for location-aware businesses, offering tools for navigation and customization. The company seeks innovative Software Development Engineers to join their teams, emphasizing collaboration, technical excellence, and diverse growth opportunities.

Quote to cash Intern

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The role supports sales execution and compliance, emphasizing collaboration and client experience. It offers growth opportunities and a focus on innovation through tools like Watsonx.

Data Engineer - Data Platform

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This text describes a career in IBM Consulting, emphasizing long-term client relationships, collaboration with industry visionaries, and opportunities for growth. It highlights technical expertise in data engineering, Python, and big data technologies, while promoting a culture of innovation and continuous learning.

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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