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.

Salesforce Developer

Company: Megaport

Location: Australia

Posted Dec 22, 2025

Megaport, a global leader in Network as a Service, emphasizes a collaborative and inclusive culture. The Salesforce Developer role involves strategic projects and offers flexible work, comprehensive benefits, and professional growth opportunities.

Software Python Engineer (Cloud Inference)

Company: Gcore

Location: Poland,Serbia,Lithuania,Cyprus,Georgia

Posted Dec 22, 2025

This text promotes Gcore as a global leader in AI infrastructure solutions, highlighting opportunities for a Software Python Engineer role with competitive benefits, flexible work arrangements, and collaboration with industry partners. The company emphasizes innovation, global impact, and employee growth through comprehensive benefits and modern work environments.

Technical Account Manager

Company: Megaport

Location: USA

Posted Dec 22, 2025

Megaport promotes itself as a global leader in Network as a Service with a collaborative and fun work culture. The job posting highlights opportunities for experienced Technical Account Managers to work with enterprise customers and partners, offering flexible working environments, comprehensive learning support, and competitive benefits.

Software Developer (UI) AI Center of Excellence

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

The text describes a job opportunity for an AI and Cloud Software Engineer at IBM's Infrastructure AI Center of Excellence. It outlines core objectives of velocity and safety, responsibilities involving AI development, cloud technologies, and collaboration, along with required skills in AI frameworks, cloud platforms, and programming languages. The role emphasizes innovation, continuous learning, and working in agile environments.

Healthcare Life Safety, Environment of Care (Physical) and Emergency Management Consultant

Company: Jensen Hughes

Location: USA

Posted Dec 22, 2025

The text highlights Jensen Hughes' expertise in fire protection and safety engineering, emphasizing their 80-year legacy of responsibility and commitment to client safety. It outlines a job opportunity with comprehensive responsibilities and qualifications, while showcasing the company's dedication to employee growth and a competitive compensation package.

Clinical Documentation Integrity (CDI) Specialist

Company: Guidehouse

Location: USA

Posted Dec 22, 2025

This job description outlines the role of a Clinical Documentation Integrity Specialist, detailing responsibilities such as reviewing medical records, collaborating with healthcare professionals, and ensuring compliance. It lists qualifications, benefits including competitive compensation and a comprehensive benefits package, and emphasizes teamwork and professional development.

Relationship Manager

Company: Skyrocket Studios

Location: Philippines

Posted Dec 22, 2025

The text outlines job responsibilities focused on client relationship management, account growth, consulting, project management, and industry expertise. It emphasizes skills like relationship building, data-driven decision making, and proficiency with digital tools. Requirements include interpersonal skills, analytical thinking, and adaptability in a remote work environment.

Intermediate Backend Engineer (Ruby), Plan: Project Management

Company: GitLab

Location: North America,Latin America,APAC,EMEA

Posted Dec 22, 2025

This job description outlines a Backend Engineer role focused on developing scalable Ruby on Rails services, improving project management features, and collaborating with cross-functional teams. It emphasizes technical expertise, code quality, and working in a distributed agile environment.

Senior People Operations Partner

Company: Vidyard

Location: Canada

Posted Dec 22, 2025

Vidyard seeks a Senior People Operations Partner to enhance employee experiences through AI-driven HR processes. The role involves managing employee lifecycle, leading People programs, and leveraging technology for operational excellence. The company offers competitive benefits, flexible work, and a culture focused on innovation and customer obsession.

Digital Marketing Associate

Company: Skyrocket Studios

Location: Philippines

Posted Dec 22, 2025

This text describes a digital marketing role with responsibilities across social media, influencer marketing, search campaigns, SEO, direct marketing, and presentations. It outlines required qualifications including education, skills, and experience, presenting a professional job description with objective criteria.

Operations Specialist

Company: Justlife

Location: Egypt

Posted Dec 22, 2025

Justlife is seeking Operations Specialists to join their fast-growing Dubai-based startup, offering flexible hours, career growth, and unique perks like free services and team-building activities.

Implementation Project Manager

Company: S&P Global

Location: USA

Posted Dec 22, 2025

This job description outlines a role as an Implementation Project Manager requiring leadership, technical skills, and collaboration. It highlights responsibilities, qualifications, and company benefits, presenting a professional opportunity in a growing organization.

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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