Machine Learning Jobs in Remote

140,477 open positions · Updated daily

Looking for Machine Learning jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Remote area.

Lead, DevOps Engineer - AWS

Company: Prudential Financial

Location: Newark, NJ / Remote

Posted Jan 23, 2025

Prudential is seeking a Lead, DevOps Engineer for a hybrid role based in Newark, NJ. The successful candidate will design, implement, and maintain CI/CD pipelines, develop infrastructure as code, and manage AWS cloud infrastructure. Key responsibilities include developing automated solutions for continuous integration and delivery, implementing container orchestration tools, and ensuring security best practices. The ideal candidate will have a Bachelor's degree in Computer Science or Engineering, 5+ years of DevOps and AWS experience, proficiency in scripting languages, and expertise in CI/CD and IaC tools. Preferred qualifications include AWS certifications, knowledge of microservices architecture, and familiarity with Agile/Scrum methodologies.

Product Marketing Manager

Company: EVERFI

Location: Remote

Posted Jan 23, 2025

Software Engineer - Serverless

Company: Datadog

Location: Boston, MA / Remote

Posted Jan 23, 2025

Datadog is expanding its Serverless team to enhance support for FaaS products like AWS Lambda and upcoming offerings from partners. The team focuses on high-scale distributed systems for real-time data collection and user-friendly UIs for understanding serverless applications. Engineers will help establish industry standards for serverless monitoring tools, collaborating with teams working on metrics, distributed tracing, and logs analytics. The role requires significant experience in one or more languages, a focus on code simplicity and performance, and the ability to design high-scale architectures. Bonus points for experience with systems like Redis, Cassandra, or Kafka, and with Python, Go, or Java. Datadog offers a competitive salary, equity package, and comprehensive benefits, including healthcare, dental, parental planning, mental health benefits, a 401(k) plan, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The estimated yearly salary ranges from $130,000 to $300,000 USD.

Sr Reg Affairs Specialist

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 23, 2025

The job posting is for a Senior Regulatory Affairs Specialist position in a global clinical trial setting. The role involves leading regulatory discussions, coordinating strategies for Phase 1 to 4 clinical trials, and providing strategic regulatory intelligence. The successful candidate will interact with sponsors, review clinical trial documents, and manage project teams. They will also represent the regulatory department, arrange client meetings, and have a strong understanding of global regulatory guidelines.

Demand Generation Manager

Company: EVERFI

Location: Remote

Posted Jan 23, 2025

Principal Reg Affairs Specialist

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 23, 2025

Thermo Fisher Scientific is seeking a Principal Regulatory Affairs Specialist to join their global Regulatory Affairs department. This role involves leading discussions and coordinating regulatory strategies for clinical trials, studies, and projects. The successful candidate will be part of a global team, providing innovative solutions and global regulatory expertise. They will interact with sponsors, review clinical trial regulatory documents, and manage project teams. The role requires a Bachelor's or advanced degree, previous experience in regulatory affairs, excellent command of English, strong interpersonal skills, and advanced computer skills. PPD clinical research services offers a competitive salary, extensive benefits, flexible working culture, and a collaborative environment. The mission is to enable customers to make the world healthier, cleaner, and safer.

Staff Backend API Engineer

Company: Hatch

Location: Remote

Posted Jan 23, 2025

Hatch is a company dedicated to aiding small businesses in starting and growing. They are developing financial products to empower business owners, allowing them to concentrate on their products and business expansion. Their team, spread across the US and Canada with offices in San Francisco and more opening, is expanding. They are seeking a Backend/API software engineer to build financial software services for small businesses. The engineer will design APIs for all Hatch products, manage partner integrations, scale automated processes using rule-based and machine learning models, and develop real-time accounting and money movement platforms. The ideal candidate should have strong programming fundamentals, experience with Java, Kotlin, Scala, or similar languages, familiarity with backend web frameworks, and relational database experience. Hatch values scalable, durable, and easy-to-use code, and offers a supportive team environment.

SAP Consultant SD

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 23, 2025

Head of Insider Protect Program Support (US)

Company: TD Bank

Location: Marlton, NJ / Remote

Posted Jan 23, 2025

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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