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.

Staff AI Product Engineer

Company: Modern Health

Location: USA

Posted Dec 19, 2025

This job description seeks an AI Product Engineer with expertise in AI technologies and full-stack development, emphasizing collaboration, problem-solving, and comprehensive benefits including healthcare and flexible work arrangements.

Oncology Data Specialist

Company: Guidehouse

Location: USA

Posted Dec 19, 2025

The job offers a remote position at a prestigious cancer center with competitive salary, comprehensive benefits, and opportunities for growth. Responsibilities include data collection and analysis, with requirements for certification and experience.

Analytics Engineer (L5) - Identity

Company: Netflix

Location: USA

Posted Dec 19, 2025

Netflix seeks an Analytics Engineer to drive data-driven commerce strategies, emphasizing collaboration and innovation in a global context. The role involves shaping analytical frameworks for identity platforms while leveraging cross-functional expertise and advanced data tools.

Production Engineer - Langflow

Company: IBM

Location: Markham, CA

Posted Dec 19, 2025

This job description highlights a role at IBM Software focusing on Kubernetes management, automation, and cloud infrastructure. It emphasizes innovation, career growth, and collaboration with cross-functional teams to deliver impactful solutions. The position requires expertise in container orchestration, monitoring tools, and security practices, while offering opportunities to contribute to global technological advancements.

Talent Acquistion Manager

Company: IBM

Location: Giza, EG

Posted Dec 19, 2025

This text describes IBM's role in driving innovation and collaboration, highlighting a positive work culture and opportunities for career growth. It outlines responsibilities related to talent acquisition and team development in Egypt, emphasizing expertise in recruitment and stakeholder management.

Legal Operations Lead - CLM & Technology

Company: Figma

Location: USA

Posted Dec 18, 2025

This job description outlines a Legal Operations role at Figma requiring expertise in legal tech tools, cross-functional collaboration, and process optimization. The position emphasizes innovation, scalability, and alignment with company growth, while offering competitive benefits and career development opportunities.

Talent Acquisition Coordinator

Company: IBM

Location: BANGALORE, IN

Posted Dec 19, 2025

This text describes a role at IBM's Talent Acquisition team focusing on managing the offer process with emphasis on collaboration, communication, and career growth. It highlights the importance of teamwork, innovation, and organizational skills in a fast-paced environment while showcasing IBM's commitment to excellence and global impact.

Application Developer - Cloud FullStack - New South Wales - 17 Months FTH

Company: IBM

Location: SYDNEY, AU

Posted Dec 19, 2025

IBM is a leader in global transformation, offering career opportunities in tech innovation. The role involves developing applications and collaborating with teams to drive digital reinvention and competitive advantage.

Application Architect-Google Cloud

Company: IBM

Location: Segrate, IT

Posted Dec 19, 2025

This text describes a Software Developer role at IBM Consulting, highlighting opportunities for career growth, collaboration with global clients, technical expertise in hybrid cloud and AI, and professional development. It emphasizes innovation, strategic partnerships, and a supportive work environment.

AI/ML Software Engineer

Company: Guidehouse

Location: USA

Posted Dec 19, 2025

Guidehouse seeks an AI-focused Software Engineer to design and deploy innovative AI solutions, collaborate with cross-functional teams, and contribute to scalable systems. The role offers competitive compensation, comprehensive benefits, and a supportive work environment.

Software Architect

Company: Fortive

Location: USA

Posted Dec 19, 2025

The text describes a technical leadership role focused on AI architecture, cloud solutions, and cross-functional collaboration. It outlines responsibilities involving AI/ML technologies, Azure platforms, and compliance standards, while specifying required qualifications and experience.

Software Engineer

Company: Field Nation

Location: Dhaka

Posted Dec 19, 2025

This job posting highlights Field Nation's commitment to a dynamic work environment, competitive benefits, and professional growth opportunities. The role involves developing cutting-edge SaaS solutions and collaborating with cross-functional teams, while the company emphasizes a supportive culture with perks like gym memberships, medical insurance, and flexible work arrangements.

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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