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.

PhD Data Partner - Math - Europe

Company: TELUS Digital

Location: Remote

Posted Jan 22, 2025

TELUS Digital AI is seeking a PhD Data Partner with expertise in Math for a remote position in Europe. The role involves designing advanced, domain-specific questions and solutions, collaborating with cross-functional teams, and creating challenging problem sets. The ideal candidate will have a completed PhD in Math, strong English writing skills, and the ability to explain complex concepts concisely. The company offers flexible hours, competitive pay rates, and the opportunity to be part of a vibrant global AI community.

SAP Basis Senior Consultant (m/f/d)

Company: Kyndryl

Location: Zurich, Switzerland / Remote

Posted Jan 22, 2025

Senior Product Analyst

Company: GlossGenius

Location: New York, NY / Remote

Posted Jan 22, 2025

Kyndryl Consult Partner for Financial Services (m/f/d)

Company: Kyndryl

Location: Vienna, Austria / Remote

Posted Jan 22, 2025

Kyndryl, a leading technology company, is seeking a Consult Partner with around 15 years of professional experience in IT consulting, program and/or project management at a senior leadership level. The role involves driving profitable growth, leading multi-disciplinary teams through complex consulting engagements, and creating strategic change agendas within Kyndryl's largest accounts. The ideal candidate should possess in-depth knowledge of the Financial Services sector, demonstrated success in consultative selling, and excellent communication skills. Proficiency in German and a valid work permission are prerequisites for this opportunity in Austria. The role offers a minimum yearly salary of €103.400,00, with actual salary to be discussed in a personal interview.

BigBox VR Engineering Manager (Server + Infra)

Company: Meta

Location: Remote

Posted Jan 22, 2025

BigBox VR, an Oculus Studio known for popular multiplayer VR games like POPULATION: ONE, is seeking an experienced Server and Infrastructure Engineering Manager. The role involves creating and maintaining server infrastructure for games, working hands-on with the team, and collaborating with artists and engineers. The ideal candidate should have extensive experience in game development, leadership, and Unity 3D. Meta, the parent company, is looking for someone who can thrive in a fast-paced environment and communicate effectively with various stakeholders.

Network Engineer

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 22, 2025

Kyndryl is seeking a Network Support Specialist with 3-4 years of experience in network, security, and data center technologies. The role involves installing, maintaining, and troubleshooting computer networks, working in a multi-vendor environment, and ensuring network security. The ideal candidate should have expertise in Cisco Routers and Switches, static and dynamic routing protocols, and network management tools. Excellent communication skills and a focus on customer service are essential. Kyndryl offers opportunities for career growth, hands-on experience, and learning opportunities.

Director, HR Service Center Leader

Company: Kyndryl

Location: Hortolândia, Brazil / Remote

Posted Jan 22, 2025

Kyndryl is seeking an experienced HR Services Leader to oversee day-to-day operations of the HR services regional center. The role involves managing HR service delivery processes, developing strategies aligning with business objectives, ensuring compliance, and driving process improvements. The ideal candidate will have leadership experience in HR, extensive HR services experience, and proficiency in ServiceNow case management. They will lead transformation projects, collaborate with leadership, and provide coaching to team members. Kyndryl values diversity and offers a competitive salary, growth opportunities, and a dynamic work environment.

Senior AWS Architect - Application Modernization

Company: Kyndryl

Location: Montreal, Canada / Remote

Posted Jan 22, 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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