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.

Solution Architect

Company: Arcee AI

Location: Remote

Posted Jan 24, 2025

Arceeai is a leading AI company seeking a Solution Architect with 5+ years of experience in AI, machine learning, or data science. The role involves designing, developing, and implementing AI-powered solutions, providing technical leadership, and engaging with clients. Key responsibilities include solution design, technical leadership, client engagement, solution implementation, and continuous innovation. The ideal candidate should have strong programming skills, experience with AI frameworks, familiarity with cloud platforms, and excellent communication skills. The company offers a competitive salary, opportunities to work on cutting-edge AI projects, a collaborative work environment, and professional development opportunities.

Mid .NET Developer

Company: WEX

Location: Remote

Posted Jan 24, 2025

The role involves solving problems, creating designs for new and existing features, developing scalable and consistent solutions, participating in code reviews, delivering software that meets requirements, and understanding the team's product domain. The ideal candidate will have development experience in web technologies, object-oriented languages, and web services using .NET, C#, and Microsoft SQL Server. Knowledge of Angular, AWS, Azure, and Docker is also required.

Database Platform Beheer en Automation SME

Company: Kyndryl

Location: Hoofddorp, Netherlands / Remote

Posted Jan 24, 2025

Machine Learning Infrastructure Engineer

Company: Arcee AI

Location: Remote

Posted Jan 24, 2025

Arceeai is seeking a Machine Learning Infrastructure Engineer to design, implement, and maintain scalable, efficient, and reliable machine learning infrastructure. The ideal candidate should have experience with cloud platforms, Kubernetes, IaC tools, and ML model serving frameworks. They will collaborate with data scientists, engineers, and researchers to ensure seamless integration of machine learning models into the production environment, optimize infrastructure resources, and stay updated with industry trends.

Senior Software Engineer, Emerging Products (AI/LLM)

Company: Formation Bio

Location: Remote

Posted Jan 24, 2025

Formation Bio, a tech and AI-driven pharma company, is revolutionizing drug development by accelerating all aspects of drug development and clinical trials. Founded in 2016, the company partners with pharma companies, research organizations, and biotechs to develop drugs past clinical proof of concept. Backed by prominent investors, Formation Bio aims to bring new medicines to patients faster and more efficiently. The company is currently seeking a software developer with AI and LLM expertise to lead the design, development, and deployment of software solutions in the strategic drug development process.

Engineering Manager, Platform - Risk Engineering

Company: Coinbase

Location: Mumbai, India / Remote

Posted Jan 24, 2025

Manager I, Engineering - Fabric Gateways (Lisbon)

Company: Datadog

Location: Dublin, Ireland / Remote

Posted Jan 24, 2025

Architect for Multi Cloud Project

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 24, 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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