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.

Qlik Sense (On-Prem) Consultant

Company: Innovecs

Location: Ukraine

Posted Nov 22, 2025

Innovecs is a global digital services company with a presence in multiple countries. They specialize in software solutions and have received several awards for employee engagement and wellbeing. The company offers flexible hours, competitive compensation, and a comprehensive benefits package. They are currently seeking a Qlik Sense OnPrem Consultant.

Senior Machine Learning Scientist (Recommender Systems) - Viator

Company: Tripadvisor

Location: UK

Posted Nov 22, 2025

Viator, a Tripadvisor company, is the leading marketplace for travel experiences with 300,000+ options. They offer competitive compensation, flexible work arrangements, and employee benefits. The company values innovation, customer service, and diversity. The Recommender Systems group focuses on delivering personalized product rankings and recommendations.

Machine Learning Engineer - Dash

Company: Dropbox

Location: Denmark

Posted Nov 22, 2025

The role is for a Machine Learning Engineer on Dropbox's Multimedia AI team, working on Dropbox Dash. Responsibilities include working with large-scale data systems, productionizing multimodal and semantic retrieval systems, partnering with product design and infrastructure teams, building prototypes, running benchmarks, and contributing to open source projects. Requirements include a BS/MS/PhD in a quantitative field, 5+ years of engineering experience, and 3+ years of ML/AI experience. Preferred qualifications include a PhD, experience with NLP, deep learning, and large-scale ML products.

Global Marketing Operations Manager

Company: Saviynt

Location: USA

Posted Nov 22, 2025

The role is for a proactive, data-driven Global Marketing Operations Manager to streamline processes, improve automation, and power smarter decision-making across the global marketing organization. The ideal candidate will have 3-5 years of experience in Marketing Operations, Marketing Automation, or RevOps, strong Salesforce admin skills, experience owning HubSpot end-to-end, and exposure to Outreach, LeanData, or similar tools. The role involves Salesforce and Revenue Analytics, Marketing Automation and HubSpot Leadership, Insight-Driven Reporting, Process Optimization, and Cross-Team Collaboration.

Software Development Engineer II - API

Company: Mapbox

Location: UK

Posted Nov 22, 2025

Mapbox is a leading real-time location platform for businesses, offering tools for navigation, traffic, and mapping. They are hiring a Software Development Engineer for the Navigation Traffic team to develop and maintain web services for navigation initiatives. The role involves rapid development, system design, operational excellence, and collaboration.

Senior Machine Learning Scientist (Generative AI) - Viator

Company: Tripadvisor

Location: UK

Posted Nov 22, 2025

Viator, a Tripadvisor company, is the leading marketplace for travel experiences with 300,000+ options. They offer competitive compensation, flexible work arrangements, and benefits like donation matching and travel perks. The company values innovation, customer service, and diversity.

Middle System/Business Analyst (Supply Chain)

Company: Innovecs

Location: Ukraine

Posted Nov 22, 2025

Innovecs is a global digital services company specializing in software solutions for various industries. They are a fast-growing company with a strong focus on employee engagement and well-being. The company offers flexible work hours, competitive compensation, and a supportive work environment.

Senior Machine Learning Scientist (User Modelling/Representation Learning) - Viator

Company: Tripadvisor

Location: UK

Posted Nov 22, 2025

Viator, a Tripadvisor company, is a leading marketplace for travel experiences with 300,000+ options. They offer competitive compensation, flexible work arrangements, and employee benefits. The company values innovation, customer service, and diversity. The role involves working on representation learning and embedding latent representations of entities across the platform.

Principal Software Architect

Company: Wiser Solutions

Location: Canada

Posted Nov 22, 2025

Wiser Solutions is a global leader in omnichannel retail intelligence, empowering brands and retailers with data-driven insights. The company seeks a Principal Software Architect to lead architectural strategy, cloud-native solutions, and cross-functional collaboration. The role requires extensive experience, technical expertise, and strong leadership skills.

Senior Machine Learning Scientist (Viator)

Company: Tripadvisor

Location: UK

Posted Nov 22, 2025

Viator, a Tripadvisor company, promotes a flexible work environment with competitive compensation, remote options, and employee benefits. The role emphasizes innovation through data science and machine learning, offering career growth opportunities and a supportive workplace culture.

Manager, Technical Support Americas (Mobile Access & Extraction)

Company: Magnet Forensics

Location: USA

Posted Nov 22, 2025

Magnet Forensics is a global leader in digital investigative software, serving thousands of customers worldwide. The company is expanding its global presence and is looking for a Manager Technical Support Americas to lead a team of Technical Support Engineers. The role involves providing support to customers using the mobile access and extraction suite of Magnet products, fostering a customer-centric approach, and driving continuous improvement.

Insurance Expert

Company: Jane App

Location: USA

Posted Nov 22, 2025

Jane is a remote-first company that helps healthcare practitioners and their patients by simplifying their lives. They are looking for an experienced US Insurance Expert to join their team and help strengthen support, training, and learning across their teams and customer base. The role involves leveraging deep Revenue Cycle experience to educate, support, and elevate how Jane and their customers navigate insurance billing. The company values collaboration, humility, and a growth mindset, and offers a level of autonomy and flexibility to balance work and life.

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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