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.

IT Strategy Consultant

Company: Kyndryl

Location: London, United Kingdom / Remote

Posted Jan 24, 2025

Kyndryl is seeking an experienced IT Strategy Consultant to join their team. The role involves working closely with customers to understand their current IT landscapes, identify areas for modernization and optimization, and guide the development of strategic technology initiatives. The ideal candidate will have a strong background in cloud technologies, excellent communication skills, and a proven track record in supervising engagements and managing customer relationships. Kyndryl offers a flexible working policy, a diverse and inclusive culture, and opportunities for professional growth and development.

Kiva Ambassador (Volunteer)

Company: Kiva

Location: Remote

Posted Jan 24, 2025

Kiva has launched an Ambassador Community, inviting individuals to volunteer about 4 hours per month for 6 months. As a Kiva Ambassador, one can share Kiva's mission with various groups, host fundraisers, start clubs, and more. In return, Kiva provides access to an exclusive community, connects ambassadors with leadership, offers learning opportunities, and recognizes their efforts with special events and swag. This is an unpaid role open to residents of the United States or Canada.

Senior Software Engineer I

Company: Braze

Location: Remote

Posted Jan 24, 2025

Braze, a leading customer engagement platform, is seeking a Senior Full Stack Engineer to join their Canvas Logic & Execution team. The role involves designing, developing, and deploying scalable components for the Canvas platform, collaborating with a team of experienced engineers to solve complex technical challenges, and owning projects from design through testing and deployment in an agile environment. Braze offers competitive compensation, flexible paid time off, comprehensive benefit plans, professional development opportunities, and a collaborative, transparent, and fun culture. The company is committed to creating equitable growth and opportunities, and is recognized as a Great Place to Work in multiple countries.

L2 SOC Analyst

Company: Kyndryl

Location: Rome, Italy / Remote

Posted Jan 24, 2025

Kyndryl, a leading technology company, is seeking a Cybersecurity Defense professional. The role involves protecting organizations' infrastructure from cyber threats, utilizing skills in cybersecurity, incident response, security operations, vulnerability management, and threat hunting. The ideal candidate should have 4-5 years of Security Analyst experience, expertise in network, host, and cloud-based security, and a deep understanding of the current cyber threat landscape. Kyndryl offers opportunities for growth, skilling programs, and a diverse, inclusive work environment.

Finance & Strategy Senior Analyst, Crypto

Company: Robinhood

Location: New York, NY / Remote

Posted Jan 24, 2025

Machine Learning Engineer

Company: Atlassian

Location: Seattle, WA / 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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