Machine Learning Jobs

425,594 open positions · Updated daily

Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

Principal Product Manager - Agentic AI

Company: Blackbaud

Location: Remote

Posted Dec 03, 2025

Blackbaud is seeking an experienced Principal Product Manager to lead the launch and scaling of their new agentic Artificial Intelligence solutions. The role involves driving product development, shaping the roadmap, engaging with customers, and collaborating with cross-functional teams. The ideal candidate will have 8+ years of product management experience, success in launching 0to1 products, and a passion for social impact.

System Architect - QA and Automation

Company: Hammerspace

Location: Remote

Posted Dec 03, 2025

This text describes a QA System Architect role emphasizing strategic leadership, scalable QA strategies, test automation, and team collaboration. It highlights technical expertise requirements and leadership experience while promoting a quality-driven culture in a fast-paced startup environment.

Solution Architect

Company: IBM

Location: Hong Kong, HK

Posted Dec 04, 2025

The IBM Technology Expert Labs team offers a rewarding career delivering world-class services to clients. The role involves developing technical solutions, leading client-facing deliverables, acting as a trusted advisor, and providing hands-on leadership during project delivery. The position requires a bachelor's degree, 10+ years of IT experience, and strong communication and interpersonal skills.

Appeals Coordinator II

Company: MedReview

Location: Remote

Posted Dec 03, 2025

The Appeals Coordinator Level II position at MedReview involves assisting with daily administrative work, researching and analyzing appeals, grievances, and complaints from providers and clients. The role requires excellent communication, problem-solving, and time management skills, as well as the ability to work independently and make critical decisions.

Java Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities to work with clients globally, collaborate with visionaries, and leverage IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and problem-solving skills. The role involves software development, analytical problem-solving, stakeholder engagement, and working with the latest technologies.

Delivery Manager (Public Sector)

Company: IBM

Location: Manchester, GB

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with leading professionals, deliver effective solutions, and drive meaningful business change. The company provides training, promotion opportunities, diversity and inclusion, and benefits such as flexible working, sabbaticals, and pension plans. The role of a Senior Complex Programs Project Manager involves leading the design, development, and implementation of complex programs, mentoring team members, collaborating with stakeholders, and staying current with emerging trends and best practices.

Package Consultant-Salesforce

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities to work with clients globally, collaborate with visionaries, and leverage IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and the ability to challenge norms to drive meaningful change for clients. The role of a Software Developer is also outlined, focusing on Salesforce development, agile methodologies, and technical expertise.

Director - SEO Data Analytics & Insights

Company: Raptive

Location: Remote

Posted Dec 03, 2025

Raptive is seeking a senior data analyst with SEO expertise to work on data insights and tooling for a large creator network. The role involves hands-on analytics, QA, translating analyses into actionable insights, cross-functional collaboration, and innovation. The company values diversity, equity, and inclusion, and offers a competitive salary range.

Senior Product Manager

Company: Scrambly

Location: EU

Posted Dec 03, 2025

Scrambly is a fast-growing adtech startup revolutionizing rewarded advertising, serving over 3 million users in the USA. They are seeking a Senior Product Manager to drive product discovery, experimentation, and continuous improvement of their product portfolio, with a focus on understanding user needs, analyzing data, and collaborating with cross-functional teams to deliver top-tier digital solutions.

Master@IBM Werkstudent*in in Agentic AI @ SAP on Db2 (m/f/x)

Company: IBM

Location: Ehningen, DE

Posted Dec 04, 2025

The text is a job posting for a position in the IBM SAP Db2 development team. The role involves developing AI Agent solutions for Db2 databases serving SAP NetWeaver, assessing existing Db2 agents for SAP integration, identifying opportunities for new AI agents, collaborating with cross-functional teams, and staying updated with AI and IBM tools. The position requires a Bachelor's degree in Computer Science or a related field, experience in AIML development, knowledge of relational databases and Db2 LUW, strong analytical and problem-solving skills, excellent communication and collaboration abilities, and basic knowledge of public cloud concepts.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Process Analyst in the Order to Cash (O2C) domain. The position involves processing accounts receivable, preparing journal entries, reconciling accounts, and meeting client service level agreements. The role requires a bachelor's degree, preferably a master's degree, and experience in enhancing cash application automation and reducing complexity in assigned accounts.

Machine Learning Scientist (L5) - Live Manifest

Company: Netflix

Location: Remote

Posted Dec 03, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They recently launched an ads-supported tier to attract new members and advertisers. The Core Ads Algorithms team develops data-driven solutions for personalized ad experiences, balancing business objectives and user satisfaction.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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