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.

Business Intelligence Analyst

Company: Teach For All

Location: Remote

Posted Dec 26, 2025

This job posting seeks a Business Intelligence Analyst to enhance data tools and support decision-making through data analysis, with a focus on educational impact and global collaboration. The role emphasizes strengthening data systems, creating dashboards, and fostering a data-driven culture across teams. The organization highlights competitive compensation, professional growth opportunities, and a mission to improve educational equity worldwide.

DevOps Software Engineer Energy Storage

Company: Redwood Materials

Location: San Francisco

Posted Dec 27, 2025

Redwood Materials is localizing a global battery supply chain focused on recovery, reuse, and recycling to drive the energy transition. The company, founded in 2019, produces battery materials in the US from existing batteries. They are seeking DevOps engineers to build infrastructure for hybrid AWS and Kubernetes environments, with opportunities to impact day-to-day operations and scalability.

Regional Sales Director

Company: Finite State

Location: Remote

Posted Dec 26, 2025

Finite State promotes a mission to secure the connected world through innovative cybersecurity solutions. The job description highlights a Regional Sales Manager role with responsibilities spanning business development, customer partnerships, and technical expertise. The company emphasizes core values like transparency, results, and innovation, offering benefits such as equity, learning stipends, and remote work flexibility.

Software Licensing SSA Student - Colombia

Company: IBM

Location: Bogota, CO

Posted Dec 27, 2025

IBM Software focuses on transforming client challenges into innovative solutions, emphasizing innovation, growth, and global impact. The role involves software licensing, compliance issue resolution, and data analysis tasks, requiring skills in MS Office and collaboration.

Technology Seller Leader

Company: IBM

Location: Minneapolis, US

Posted Dec 27, 2025

The role emphasizes selling complex IT solutions, collaboration, leadership, and career growth within IBM's Global Sales team, highlighting innovation, client impact, and professional development opportunities.

Application Developer-Cloud FullStack

Company: IBM

Location: Hyderabad, IN

Posted Dec 26, 2025

This job description highlights a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and opportunities for professional growth through strategic partnerships and technology integration.

Hardware Developer

Company: IBM

Location: Austin, US

Posted Dec 27, 2025

IBM Research emphasizes innovation, growth, and impactful technological solutions. The role involves advancing hardware/software development, evaluating emerging technologies, and collaborating on interdisciplinary projects. Required skills include hardware expertise, programming languages, and a passion for technology, with a focus on real-world applications and continuous learning.

DevOps Software Engineer Energy Storage

Company: Redwood Materials

Location: San Francisco

Posted Dec 27, 2025

Redwood Materials focuses on localizing a global battery supply chain, integrating recovery and recycling to drive the energy transition. They are seeking DevOps engineers to build infrastructure in AWS and Kubernetes environments, offering opportunities to impact scalable operations during growth.

Manager, Technology Sales Leaders - HCLS

Company: IBM

Location: Multiple Cities

Posted Dec 27, 2025

This role involves leading technology sales teams, driving innovation, and fostering collaboration to solve complex business challenges while emphasizing growth, expertise, and impactful client relationships.

Internal Controls & Policy Adherence Testing Analyst

Company: CloudWalk

Location: United States

Posted Dec 27, 2025

The text describes a job opportunity at CloudWalk focusing on expanding governance and compliance through automation and technology. It highlights the role's responsibilities in policy testing, control development, and collaboration with teams, while emphasizing a proactive mindset and technical skills in a regulated environment.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Pune, IN

Posted Dec 27, 2025

This role involves collaborating with clients to develop software solutions, requiring a bachelor's degree and expertise in ABAP on HANA. It emphasizes innovation, stakeholder collaboration, and continuous learning through technical development and industry expertise.

Entry Level Software Developer New York - 2026

Company: IBM

Location: New York, US

Posted Dec 26, 2025

This job posting highlights IBM's opportunity for early-career software developers to grow in a collaborative Agile environment, work on impactful projects, and gain mentorship. It outlines requirements for programming skills, Agile experience, and preferred qualifications like cloud architectures and specific frameworks, emphasizing career development and real-world impact.

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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