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.

Information Security Specialist (German-speaking)

Company: Secfix

Location: Remote

Posted Dec 07, 2025

Secfix is hiring a Information Security Specialist to support customers from the DACH region. The role involves owning the security and compliance lifecycle, acting as a trusted advisor, improving processes, collaborating across teams, and contributing to a new AI product. Secfix offers generous equity, benefits, 100% remote work, and a chance to grow with a smart, fun, dedicated team.

Business Transformation Consultant-HR Reinvention

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

The text highlights IBM Consulting's focus on long-term client relationships, innovation in hybrid cloud and AI solutions, and career growth opportunities. It emphasizes collaboration with industry visionaries, strategic technology platforms, and a culture of continuous learning and empathy.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

This job description highlights a role in financial planning and analysis at IBM Consulting, emphasizing collaboration, innovation, and career growth opportunities. The position involves financial modeling, data analysis, and process improvement using advanced tools like AI and BI platforms. The company promotes a culture of empathy, continuous learning, and impactful client partnerships.

Manager, Software Engineering - Creation Engine

Company: Figma

Location: Remote

Posted Dec 07, 2025

The text describes Figma's Creation Engine teams, which work on core technologies for Figma's realtime browser-based products. The Client Testing Observability and Performance (CTOP) team focuses on making it easy for client developers to prevent, detect, and resolve performance and quality problems. The role involves managing a team of engineers, partnering with leadership, and building a culture of great work.

Senior Growth Engineer

Company: Apollo.io

Location: Remote

Posted Dec 07, 2025

The job posting is for a Growth Engineer to join a team and accelerate product growth through rapid experimentation, data analysis, and scalable technical solutions. The role involves developing engineering strategies, collaborating cross-functionally, architecting scalable systems, implementing AB testing frameworks, leveraging automation and machine learning, and ensuring technical excellence. The ideal candidate should have proficiency in full-stack development, experience with analytics and AB testing tools, familiarity with growth frameworks, excellent leadership and communication skills, and a mindset focused on metrics, LTV, CAC, retention, and rapid iteration.

Technical Lead II - Infrastructure Costs

Company: HubSpot

Location: Remote

Posted Dec 07, 2025

HubSpot's Platform Infrastructure teams focus on scalable systems supporting global operations, emphasizing reliability and cost-effectiveness. The Infrastructure Costs team drives financial efficiency through advanced cost analytics and automation, while the Technical Lead II role offers leadership in cloud cost optimization with opportunities for innovation and team growth.

Project Manager - Financial Services

Company: IBM

Location: Leicester, GB

Posted Dec 07, 2025

IBM CIC offers a career with opportunities to work with leading professionals across industries, delivering effective solutions using latest technology platforms. The company provides training, promotion opportunities, diversity and inclusion, work-life balance, and traditional benefits. They seek an experienced Project Manager with financial services background to lead cross-functional teams and deliver projects within scope, cost, and timelines.

Senior Risk Analytics Manager

Company: Earnest

Location: Remote

Posted Dec 07, 2025

The Senior Risk Analytics Manager role involves reporting to the Head of Credit Risk, ensuring credit policies are designed and implemented, partnering with the Data Science team to develop loss forecasting models, validating models, monitoring loan performance, and communicating results to leadership. The ideal candidate has 7+ years of experience in risk or loss forecasting models, strong business acumen, and excellent communication skills.

Application Developer-Cloud Fullstack

Company: IBM

Location: Hyderabad, IN

Posted Dec 07, 2025

The text describes a career opportunity at IBM Consulting, focusing on hybrid cloud and AI solutions. The role involves software development, collaboration with stakeholders, and continuous learning. Required skills include Spring Boot, Quarkus, Kubernetes, RDBMS, microservices, and CI/CD.

AI/MLOps Engineer

Company: Insight

Location: USA

Posted Dec 07, 2025

This job offers remote work flexibility, a competitive salary, and opportunities for growth within a reputable company. The role involves developing AI solutions and managing infrastructure, with benefits including flexible work arrangements and career development.

Engagement Manager

Company: Capstone Integrated Solutions

Location: Remote

Posted Dec 07, 2025

Capstone Integrated Solutions is a comprehensive services provider seeking an experienced Engagement Manager to oversee cloud-native application development projects. The role involves project planning, stakeholder collaboration, risk management, resource allocation, delivery excellence, budget management, change management, and continuous improvement. Capstone values customer obsession, learning, growth, and scalability.

Application Developer Intern

Company: IBM

Location: Vilnius, LT

Posted Dec 07, 2025

The text describes the role of software developers at IBM, highlighting their importance in delivering industry-leading solutions. It also provides details about the IBM CIC Baltic Client Innovation Center in Vilnius, focusing on hybrid cloud transformation. The internship role involves developing, implementing, and testing software solutions, collaborating with team members, and continuous learning.

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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