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.

(German) Senior Customer Success Manager (13-month contract)

Company: Hootsuite

Location: London, United Kingdom / Remote

Posted Jan 23, 2025

Hootsuite is seeking a German-speaking Senior Customer Success Manager to manage high-value customers in the assigned vertical. The role involves building and maintaining influential relationships, driving business outcomes, and ensuring best-in-class user adoption, revenue retention, and growth. The ideal candidate should have significant customer-facing experience, solid knowledge of social media, and tech savviness. They should be customer-focused, collaborative, and committed to results. The role offers a flexible work arrangement and is open to applicants in the UK and Germany.

Senior Manager, Revenue Operations

Company: GlossGenius

Location: New York, NY / Remote

Posted Jan 23, 2025

Analytics Engineer, Growth Acquisition

Company: DigitalOcean

Location: Gunnison, CO / Remote

Posted Jan 23, 2025

DigitalOcean is seeking a seasoned analytics engineer with 5+ years of experience in Google Tag Manager (GTM) to help scale growth acquisition efforts. The role involves implementing and maintaining enterprise-level GTM setups, collaborating with marketing teams for custom tracking, ensuring cookie compliance with privacy regulations, and partnering with engineering teams for scalable analytics pipelines. The ideal candidate should have strong knowledge of event-driven analytics, marketing performance tracking, and proficiency with platforms like GA4 & Amplitude. They should also possess SQL skills and familiarity with modern data stack tools. DigitalOcean offers a competitive salary range of $85,000 - $100,000, along with benefits like reimbursement for conferences, training, and education, and equity compensation.

Field Service Engineer

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 23, 2025

Thermo Fisher Scientific is seeking a Field Service Engineer II for a remote position in Tewksbury, MA. The role involves providing onsite support and service to customers, including installation, maintenance, calibration, and emergency repairs of ESD testing equipment. The candidate should have a Bachelor's or Associate's degree in Engineering or related field, or equivalent experience. Key responsibilities include promoting customer satisfaction, offering technical support, conducting product training, and maintaining thorough documentation. The position requires approximately 40-60% travel and offers a competitive salary, annual incentive bonus, 401K with company match, tuition reimbursement, and other benefits.

Principal Developer Solutions Consultant - Rovo

Company: Atlassian

Location: London, United Kingdom / Remote

Posted Jan 23, 2025

Atlassian offers flexible work options, including remote work, and is hiring a Senior Principal Developer Solutions Consultant for the Technical Solutions Consulting (TSC) team. The role involves designing, developing, and implementing advanced AI solutions using Atlassian's Forge platform and Rovo. The consultant will partner with various teams to provide technical guidance and solutions to help customers achieve their desired outcomes. Key responsibilities include solution design, development, consultation, customization, project management, collaboration, mentorship, and innovation. The ideal candidate should have extensive experience in developing applications using Atlassian Forge or similar platforms, deep understanding of AI concepts, proficiency in programming languages, strong problem-solving skills, and excellent communication abilities.

Technical Director of Knowledge Management

Company: Bixal

Location: Remote

Posted Jan 23, 2025

Bixal, a consulting firm based in Fairfax, VA, is seeking a Technical Director of Knowledge Management for a USAID-funded project. The role involves strategic leadership in communications, web development, and knowledge management. Key responsibilities include developing communication strategies, overseeing creation of knowledge products, managing web platforms, and leading KM activities. The ideal candidate should have a Master's degree, extensive experience in knowledge management, and expertise in USAID-funded projects. Benefits include flexible hours, work-from-home options, and comprehensive health benefits.

Senior Reinsurance Accountant

Company: Liberty Mutual Insurance

Location: Columbus, OH / Remote

Posted Jan 23, 2025

Oracle Database Administrator

Company: Kyndryl

Location: Bangalore, India / 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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