Machine Learning Jobs in Remote

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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.

Contract: Development Team Lead / Manager (Java)

Company: Upwork

Location: Remote

Posted Jan 24, 2025

Upwork, a global work marketplace, is seeking an Engineering Lead with 8+ years of software development experience. The role involves managing a team of engineers, collaborating with cross-functional teams, and driving the company's fastest-growing revenue stream. The ideal candidate should have a deep understanding of software development life cycle principles, agile practices, and experience in designing and maintaining distributed backend systems. They must also possess strong leadership, communication, and coaching skills, with a proven track record of delivering complex projects and managing high-performing teams.

Customer Enterprise Architect:

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 24, 2025

Director, Law Firm Attorney Management

Company: LegalZoom

Location: Gunnison, CO / Remote

Posted Jan 24, 2025

Strategic Account Executive - Aerospace & Defense (m/f/d) - REMOTE

Company: Ansys

Location: Griesheim, Germany / Remote

Posted Jan 24, 2025

Ansys is seeking a Strategic Account Executive to build long-term relationships with key global customers, driving new business opportunities and maximizing partnership profitability. The role involves understanding customer priorities, articulating Ansys' value, and leading the account planning cycle. Key responsibilities include sales activities, establishing business relationships, understanding competition, creating long-term strategies, facilitating touchpoint activities, documenting ROI, developing partnerships, and maintaining a healthy pipeline. The ideal candidate should have a technical or business degree, 6+ years of experience, and demonstrated success in technical sales. Fluency in English and local language, and up to 50% travel are required. Ansys values innovation, integrity, and employee success, and is committed to diversity and inclusion.

Assistant General Counsel, Litigation (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 24, 2025

CrowdStrike, a global leader in cybersecurity since 2011, seeks an experienced attorney with 15+ years of relevant legal experience. The role involves managing complex litigation, partnering with internal stakeholders, collaborating with outside counsel, and representing CrowdStrike externally. The ideal candidate should possess strong analytical skills, business acumen, and excellent communication abilities. Bonus points for cybersecurity industry experience, managing internal legal teams, and expertise in securities and class action litigation.

Cyber Security Architect

Company: Leidos

Location: Remote

Posted Jan 24, 2025

Senior Backend Software Engineer

Company: Atlassian

Location: Sydney, Australia / Remote

Posted Jan 24, 2025

Reg Affairs Manager - Global CTAs (ATMP/GMO)

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 24, 2025

Thermo Fisher Scientific is seeking a Regulatory Affairs Manager to join their global team. The role involves leading global regulatory submissions, providing regulatory strategy advice, and managing project budgeting. The ideal candidate should have a Bachelor's or advanced degree, at least 5 years of experience, and excellent communication and interpersonal skills. The company offers a competitive salary, extensive benefits, and a flexible working culture. The mission is to make the world healthier, cleaner, and safer.

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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