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.

Brand Sales Specialist– Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM is evolving its technology sales approach to break boundaries with innovative methods. The company seeks recent graduates and early career sales professionals with technical interests and people skills to prospect and co-create solutions with clients. A Brand Sales Specialist role involves providing clients with the heartbeat of their digital enterprise, delivering secure, reliable, scalable, and sustainable solutions that integrate with hybrid cloud and AI. IBM offers comprehensive onboarding, industry-leading learning culture, and ongoing development to advance careers.

DB2 Modernization Jr Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This role offers opportunities to work with IBM clients on innovative solutions, emphasizing collaboration and career growth. It highlights strong technical skills and a supportive environment for professional development.

Associate Threat Intelligence Consultant 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes the Associate Program at IBM Consulting, focusing on professional development, learning, and growth. It also highlights the role of an Associate Threat Intelligence Consultant, involving threat analysis, malware execution, and sharing threat assessments to protect people, data, and infrastructure.

Data Scientist-Advanced Analytics

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The role of a Data Scientist with Advanced Analytics skills involves leveraging deep data and analytics expertise to address business challenges. The role requires proficiency in mathematical optimization, discrete-event simulation, rules programming, and predictive analytics. Key technologies include Python, Pandas, NumPy, Matplotlib, Seaborn, and Plotly. The role also involves data processing, programming, and automation using Python.

Senior AI Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

IBM Automation and AI group is seeking an experienced AIML Engineer specializing in Large Language Models (LLMs) to join their AIML Center of Excellence team. The role involves collaborating with cross-functional product teams to implement cutting-edge AI capabilities across IBM's Automation product portfolio. Key responsibilities include data collection and management for LLM evaluation and training, LLM integration and implementation, and establishing AIML best practices and innovation.

Softare Development Engineer II - HashiCorp Nomad

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role contributing to HashiCorp's offerings now part of IBM. The role involves building and maintaining Nomad, a distributed cluster orchestrator, and working on next-generation distributed systems for orchestration. The position requires 3+ years of software development experience and expertise in cluster orchestrators, schedulers, container technologies, and distributed systems.

Package Specialist-SAP HANA FIN FI

Company: IBM

Location: Shanghai, CN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working with visionaries, and leveraging IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth. The role of a senior SAP Consultant is also discussed, focusing on strategic solution focus, comprehensive solution delivery, and required technical expertise.

Associate SAP Functional- SuccessFactors Core HR - Entre Level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

The text is a job description for an Associate role at IBM's Client Innovation Center in Nova Scotia. It highlights the responsibilities, required education, and technical expertise needed for the position. The role involves designing and deploying HR technology solutions, conducting requirements analysis, and providing training and support. The company values passionate, original thinkers who are eager to learn and solve complex problems.

Assistente de Controladoria Sênior - São Bernardo do Campo

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on long-term client relationships and digital transformation using agile methodologies, AI, and hybrid cloud. It highlights the importance of curiosity, continuous learning, and collaboration in a supportive environment with opportunities for career growth and development.

Technical Solution Specialist Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is an internship job description for the IBM Z team, which supports clients and internal teams across the Americas. The role involves working with cutting-edge IBM Z and LinuxONE technology, providing enablement, guidance, and technical demonstrations. Interns will gain exposure to enterprise-class systems, modern automation, and hybrid cloud environments. Key responsibilities include assisting in preparing IBM Z networking and storage environments, participating in team activities, shadowing and assisting in deploying Red Hat OpenShift databases and automation tools, learning to support proof-of-concept activities, performance benchmarks, and technology demonstrations, documenting processes, lessons learned, and observations, and contributing to team Kanban intake by tracking tasks and status updates.

Analyste Développeur Migration Cloud C# .Net - IBM Client Innovation Center - H/F

Company: IBM

Location: Lille, FR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on long-term relationships and collaboration with global clients. The role involves working in Client Innovation Centers and Delivery Centers, delivering technical and industry expertise to clients worldwide. The position requires experience in cloud migration projects, preferably with Red Hat OpenShift, and expertise in technologies like Kubernetes, Docker, APIs, microservices, and CI/CD tools. The role emphasizes collaboration, innovation, and continuous learning.

Digital Seller – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM is evolving its technology sales approach to break beyond boundaries with innovative methods. They are seeking recent graduates who can combine technical interests with people skills to prospect and co-create solutions with clients, partners, and colleagues. The role of a Digital Seller involves qualifying leads, converting them into new business opportunities, and collaborating with colleagues across the Sales team. IBM provides comprehensive onboarding, a learning culture, and ongoing development to set up success and advance careers.

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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