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.

CS Producer

Company: Brilliant

Location: USA

Posted Dec 04, 2025

Brilliant is a company focused on creating interactive, adaptive, and fun learning experiences to develop problem-solving skills. They prioritize building a healthy business with a strong emphasis on innovation, collaboration, and impactful education. The job posting highlights opportunities for CS producers to design engaging learning games, with competitive compensation and benefits including health care, flexible PTO, and home office support. The company values adventure, excellence, and transparency while fostering a culture of creativity and continuous improvement.

Package Consultant-SAP HANA FIN CO

Company: IBM

Location: Multiple Cities

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.

Full Stack Engineer

Company: Kalepa

Location: Europe

Posted Dec 04, 2025

The job posting is for a core engineer role at a company that values smart programmers who love coding and seek challenging problems. The role involves working on advanced systems including NLP, firmographic data, entity resolution, and more. The ideal candidate should have 3+ years of software engineering experience, excellent development skills, and experience with modern FE frameworks like ReactRedux. The company offers a competitive salary, significant equity options, and various benefits.

Salesforce/NetSuite Engineering Manager - Commercial Systems

Company: Canonical

Location: EMEA

Posted Dec 04, 2025

Canonical, a leading open-source provider, offers innovative engineering roles with global collaboration and competitive benefits. The company emphasizes growth, excellence, and a distributed work environment.

Technical Program Manager

Company: Monad Foundation

Location: Remote

Posted Dec 04, 2025

The Monad Foundation is seeking a Technical Program Manager to lead complex initiatives and drive organizational alignment. The role requires strong technical skills, leadership experience, and the ability to navigate the blockchain industry. The company offers challenging problems, a highly motivated team, and a culture of collaboration and high-quality output.

Senior Product Designer II - AI Billing

Company: HubSpot

Location: USA

Posted Dec 04, 2025

The job posting is for a UX team role at HubSpot's Commerce Hub Core Experiences team. The role involves designing AI-driven experiences for onboarding, billing, payment migrations, verification, secure document uploads, payouts, and account tools. The ideal candidate should have experience in high-craft end-to-end product systems, designing AI solutions, and working across complex organizations. The role requires shaping Commerce at HubSpot, crafting innovative solutions, owning end-to-end experiences, designing with craft and system thinking, leveraging data analytics and AI, collaborating across disciplines, measuring, learning, and iterating, and fostering a bold inclusive culture.

Product Manager III - HD/3D Lanes

Company: Mapbox

Location: USA

Posted Dec 04, 2025

Mapbox is a leading platform for location-aware businesses, focusing on autonomous navigation and HD 3D Lane Maps. They seek a Product Manager to redefine the industry, emphasizing innovation, customer focus, and technical expertise.

Card Fraud Manager

Company: Mercury

Location: USA

Posted Dec 04, 2025

Mercury, a fintech company, seeks a Card Fraud Manager to lead fraud prevention efforts, emphasizing leadership, data-driven strategies, and competitive compensation. The role involves team management, product strategy, and process optimization while balancing fraud detection with customer experience.

Senior Systems Engineer

Company: Veeam Software

Location: Remote, United Kingdom

Posted Dec 04, 2025

Veeam, a global leader in data resilience, emphasizes customer trust and innovation, inviting collaboration to drive growth and impact for major brands. The job post highlights opportunities to work with sales teams and evangelize products, with a focus on human verification through specific tags.

Account Executive, Mid Market - Hebrew speaker

Company: HubSpot

Location: UK

Posted Dec 04, 2025

HubSpot is evolving from an all-in-one suite into an all-on-one platform to help businesses grow better. The company offers a set of tools that support customer-facing teams, including Marketing, Sales, and Service. HubSpot's flywheel philosophy uses the momentum of happy customers to drive referrals and repeat sales. The MidMarket Account Executive role involves using inbound and outbound selling strategies to find new business and help them grow using HubSpot software.

Advanced MSK Physiotherapist

Company: GPDQ

Location: United Kingdom

Posted Dec 04, 2025

The job posting is for an Advanced MSK Physiotherapist to join a remote healthcare team. The role involves providing digital consultations and treatments for musculoskeletal conditions, with a focus on patient-centered care and promoting overall health and wellbeing. The position offers flexible working hours, remote working within the UK, competitive hourly rates, and access to various workstreams.

Automotive Senior Solutions Architect (Korean Speaking)

Company: Mapbox

Location: USA

Posted Dec 04, 2025

Mapbox promotes itself as a leading platform for location-aware businesses, emphasizing its tools for navigation and developer adoption. The job posting highlights opportunities for Solutions Architects to design innovative mobility experiences while collaborating with global partners.

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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