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.

Leader Technique JAVA - H/F - IBM Client Innovation Center Paris/île de France

Company: IBM

Location: Lille, FR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the importance of long-term relationships, collaboration with global clients, and the use of cutting-edge technologies. It emphasizes the need for curiosity, continuous learning, and the ability to drive innovation and impact. The role involves working in Client Innovation Centers and Delivery Centers, providing technical expertise to clients worldwide. The position requires strong Java/J2EE skills, knowledge of Cloud, DevOps, Architecture, and Unit Testing, as well as good communication and leadership abilities.

Senior Data Scientist - Simulation

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Data Scientist specializing in simulation modeling. The role involves building advanced simulation frameworks, applying machine learning techniques, and collaborating with cross-functional teams to transform complex datasets into actionable insights. The position requires a strong background in mathematics, statistics, and computer science, along with experience in agile environments and predictive analytics tools.

Microsoft .NET Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the company's focus on long-term client relationships, collaboration, and innovation. It emphasizes the importance of curiosity, continuous learning, and the use of Microsoft technologies in software development. The role involves working in client innovation centers and delivery centers, with a preference for candidates with a bachelor's degree and experience in .NET development.

SAP S/4HANA Service Package Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting as an SAP consultant, highlighting the role's responsibilities, required skills, and desired attributes. It emphasizes the importance of long-term relationships, collaboration, and continuous learning in the role.

AI Foundations - Software Engineer - Research Internship: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for an AI Software Engineer Intern position at IBM Research. It highlights the responsibilities, required skills, and preferred qualifications for the role. The position involves working on cutting-edge AI research, developing scalable infrastructure, and contributing to IBM's open innovation initiatives.

Oracle EPM Finance Cloud Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with visionaries, improve hybrid cloud and AI, and make meaningful change for clients. The company provides training, promotion opportunities, diversity and inclusion, work-life balance, and traditional benefits. The role involves implementing, configuring, and optimizing Oracle EPM Cloud solutions, working with clients, and integrating with enterprise systems.

Account Technical Leader

Company: IBM

Location: Taipei, TW

Posted Dec 04, 2025

The role of a Technical Account Manager at IBM involves being a trusted advisor with deep technical expertise, working with clients to craft solutions for their technology challenges. The position requires strong leadership, strategic thinking, and business influence skills to orchestrate resources and bring solutions to life. Excellent onboarding, ongoing development, and a collaborative sales environment support positive impact and career advancement.

Federal Associate Consultant (Rocket Center, WV)

Company: IBM

Location: Rocket Center, US

Posted Dec 04, 2025

The IBM Consulting Associate Program offers university hires the opportunity to work with diverse clients worldwide, focusing on professional development, technical skills, and personal growth. The role involves solving complex business problems, collaborating with clients, and driving innovation using IBM's technology platforms and strategic partners.

Consulting Public Sector Digital & Technology Solutions Degree Apprenticeship

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting offers a Digital and Technology Solutions Degree Apprenticeship for individuals interested in working on public sector client projects. The role involves client engagement, solution development, data analysis, communication, team collaboration, and learning and development. Apprentices will develop technical and business skills in areas such as cloud platforms, data analytics, AI, and agile work practices.

Process Analyst – Insurance Claims

Company: IBM

Location: Noida, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, specifically in the IBM BPO division. It highlights the role's focus on accelerating digital transformation using agile methodologies, process mining, and AI-powered workflows. The position involves working with clients globally, collaborating with visionaries across industries, and leveraging IBM's technology platforms. The text also mentions the importance of curiosity, continuous learning, and long-term career growth within the company.

Field Marketing Manager - HashiCorp

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a Field Marketing Manager position at HashiCorp, a company that creates AI-powered cloud-native software solutions. The role involves building regional and account-based marketing campaigns, executing field marketing activities, and collaborating with various teams. The ideal candidate should be passionate, detail-oriented, and able to work in a fast-paced environment.

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 role involves processing accounts receivable, preparing journal entries, reconciling accounts, and meeting client service level agreements. The position requires a bachelor's degree, preferably a master's degree, and experience in enhancing cash application automation and reducing complexity in assigned accounts.

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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