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.

Project Manager - Software Implementation

Company: Makersite GmbH

Location: Germany

Posted Nov 15, 2025

Makersite is a fast-growing company pioneering sustainable product development and digital collaboration. They are seeking innovative Project Managers passionate about technology and sustainability to lead software implementation projects, ensuring timely delivery and stakeholder satisfaction. The role offers competitive salary, remote-first flexibility, learning opportunities, and purpose-driven work.

Lead Machine Learning Engineer

Company: JustAnswer

Location: Ukraine

Posted Nov 15, 2025

This job posting outlines a Lead Software Engineer role in Machine Learning, emphasizing responsibilities like building ML models, collaborating with teams, and working on AI technologies. It lists required skills such as Python, SQL, and experience with LLMs, while also mentioning preferred tools like Databricks and AWS.

Senior Platform Product Manager - Defense Platform

Company: Airbnb

Location: USA

Posted Nov 15, 2025

The role of a Platform Product Manager for the Defense Platform at Airbnb involves shaping systems and capabilities to safeguard the global community by proactively detecting, deterring, and preventing abuse at scale. The position requires defining a compelling product vision and roadmap, leading cross-functional teams, managing product backlogs, establishing goals and metrics, and leveraging data-driven experimentation to continuously improve defenses and decision systems. The ideal candidate should have 5+ years of product management experience in platform trust and safety or risk domains, exceptional communication skills, strong analytical and problem-solving abilities, and experience driving hypothesis-based product development in a fast-paced environment.

Senior Delivery Manager

Company: NECSWS

Location: UK

Posted Nov 15, 2025

The job description outlines the role of an NEC Digital Senior Delivery Manager, who will support clients through every stage of the delivery lifecycle, ensuring projects run smoothly and efficiently. The role involves managing a multidisciplinary project team, ensuring projects are delivered on time, on budget, and to a high quality, meeting client requirements. The company offers an excellent benefits package, including private medical cover, paid holidays, life assurance, a group pension plan, and flexible benefits.

Senior Staff SDE I (Greenplum)

Company: EDB

Location: EMEA

Posted Nov 15, 2025

EDB is seeking an experienced Software Engineer to design, develop, and maintain WarehousePG extensions, migration tools, monitoring systems, and performance optimizations for PostgreSQL. The role involves collaborating with project teams, enhancing codebases, addressing bugs, implementing new features, and ensuring high-quality database performance. EDB is a leading contributor to the Postgres community, committed to driving innovation in AI, data, and enterprise database technology.

AI Specialist/Engineer - Qualified Pipeline

Company: Data Meaning

Location: Remote

Posted Nov 14, 2025

Data Meaning seeks AI SpecialistEngineers for a full-time role, emphasizing innovation, technical expertise, and collaboration in AI solutions. The position requires strong machine learning skills, experience with AI frameworks, and ability to work in agile environments. Key responsibilities include developing AI models, analyzing data, and driving strategic decision-making through technology.

Channel Account Manager

Company: Canonical

Location: Remote

Posted Nov 14, 2025

Canonical promotes itself as a leading open source provider with global enterprise success, highlighting growth opportunities and a distributed work environment. The job posting emphasizes channel sales expansion, strategic partnerships, and competitive compensation while showcasing the company's innovative tech focus and commitment to diversity.

Senior Engineering Manager - Community Support Engineering

Company: Airbnb

Location: USA

Posted Nov 15, 2025

The job posting is for a passionate and forward-thinking Senior Engineering Manager to lead the Ambassador Routing and Communications (ARC) team at Airbnb. The role involves establishing a high-performing engineering culture, partnering with product leaders and cross-functional stakeholders, driving agile development processes, coaching and mentoring engineers, shaping the ARC strategy, and managing a distributed team. Exciting projects include Project Vicarius for disaster recovery, Differentiated Service for AI-powered personalized support, Routing 20 for transformation to intelligent routing, and Skill-Based Routing for matching customer inquiries with the best-equipped ambassadors.

Senior Data Engineer (AWS & Python)

Company: Proxify

Location: CET +/- 3 HOURS

Posted Nov 14, 2025

The job posting is for a Senior Data Engineer role specializing in modern cloud-native data platforms, with a focus on Amazon Web Services (AWS) and Python. The role involves designing, building, and optimizing highly scalable and reliable ETL/ELT pipelines and data warehouses to power analytics, machine learning, and business intelligence for clients. The ideal candidate should have 5+ years of professional experience in data engineering, expert proficiency in Python, deep hands-on experience with AWS core services, and solid expertise in SQL and complex query writing/optimization.

Indirect Tax Enablement Specialist

Company: Stripe

Location: USA

Posted Nov 15, 2025

Stripe is a financial infrastructure platform that helps businesses accept payments and grow revenue. The company is seeking a dynamic Indirect Tax Enablement Specialist to join their team and drive user success and internal strategy implementation. The role involves providing real-time support, analyzing support experiences, collaborating with stakeholders, designing and executing enablement programs, and creating engaging content.

Tech Lead Databricks Data Engineer

Company: Mitre Media

Location: USA

Posted Nov 14, 2025

Mitre Media seeks a Tech Lead Data Engineer to build AI-driven FinTech solutions. The role involves designing ETL pipelines, ensuring data quality, and working with cutting-edge tech like Databricks and LLMs. The company offers autonomy, competitive compensation, and growth opportunities.

Program Manager

Company: phData

Location: Latin America

Posted Nov 15, 2025

The job posting is for an experienced Program Manager to lead the company's next phase of growth. The ideal candidate will have a strong track record of managing large strategic customer portfolios, developing a robust delivery organization, and nurturing future leaders within the team. The role involves overseeing multiple high-visibility projects, ensuring alignment across internal teams and key stakeholders, and driving the company's next stage of growth.

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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