Machine Learning Jobs in Remote

140,532 open positions · Updated daily

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.

UKG Pro Workforce Management - Director

Company: PwC

Location: Milwaukee, WI / Remote

Posted Jan 23, 2025

Analytics Engineer, Growth Acquisition

Company: DigitalOcean

Location: Gunnison, CO / Remote

Posted Jan 23, 2025

Actuary, Personal Auto Countrywide Indications

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 23, 2025

Liberty Mutual is seeking an Actuary for a high visibility role in the US Retail Markets Personal Lines Auto Countrywide Indications team. The role involves creating countrywide loss development projections, enhancing actuarial methods, and leveraging internal and external information for frequency, severity, and premium trend projections. The Actuary will serve as a subject matter expert, collaborating with various groups and mentoring junior analysts. Qualifications include a Bachelor's degree, preferably a Master's, ACAS/FCAS designation, and 5-7 years of relevant experience. Strong communication, interpersonal skills, and advanced computing skills are required. Liberty Mutual fosters a diverse, equitable, and inclusive workplace with comprehensive benefits and learning opportunities.

Microfocus Administrator

Company: Kyndryl

Location: Bogota, Colombia / Remote

Posted Jan 23, 2025

Software Engineer - Salesforce

Company: Allstate

Location: Remote

Posted Jan 23, 2025

Allstate is seeking a Salesforce Platform Developer to lead technical initiatives and align solutions with business needs. The ideal candidate should be passionate, self-directed, and have a strong working knowledge of Salesforce cloud platforms and integrations. Responsibilities include contributing to strategic vision, translating complex requirements into maintainable Salesforce solutions, collaborating with stakeholders, and mentoring junior team members. The role involves managing the end-to-end development lifecycle, supporting Delivery Managers, and sustaining collaboration in a geographically distributed team. The compensation for this role ranges from $112,000 to $196,750 annually.

Product Owner Specialist

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 23, 2025

The Product Owner Specialist role involves driving a product management team to deliver high-quality solutions in AI, application development, and data engineering. This position requires strong communication skills, understanding of product development processes, and ability to work collaboratively with cross-functional teams. Key responsibilities include developing product documentation, conducting market research, coordinating product testing, and gathering customer feedback. Preferred qualifications include a degree in a relevant field, experience with data analysis, and familiarity with product management tools.

Pricing Actuary- Specialty Programs

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 23, 2025

Liberty Mutual is seeking a Programs support actuary to collaborate with the underwriting team, enhancing pricing decisions and influencing strategy for commercial lines in admitted and non-admitted markets. The role involves providing high-quality analyses, effective communication, and supporting profit, growth, and operational objectives. The successful candidate should possess strong analytical and communication skills, and the ability to work in a fast-paced, collaborative environment. The position may be filled as a Senior Actuarial Analyst Grade 16 or an Actuary Grade 18 based on experience. Responsibilities include clear communication of technical actuarial work, thought partnership on strategy, production of semi-annual profitability reviews, complex actuarial analyses, cross-functional partnership, training of underwriters, and actuarial support for new programs. Qualifications include a Bachelor's degree, preferably a Master's degree, ACAS/FCAS, minimum 5-7 years of relevant experience, sound knowledge of actuarial techniques, strong communication skills, ability to motivate and mentor, and advanced computing skills.

Data & AI Senior Consultant (m/f/d)

Company: Kyndryl

Location: Zurich, Switzerland / Remote

Posted Jan 23, 2025

Kyndryl is seeking a Data & AI Senior Consultant to drive transformative power of data & AI, collaborating with customers to envision and conceptualize strategic applications. The role involves unleashing AI technology potential, leading workshops, and crafting ingenious approaches to design, build, deploy, and govern complex AI models. The ideal candidate should have 7+ years of AI and Data consulting experience, excellent communication skills, and a growth mindset. Kyndryl offers unlimited opportunities for learning, training, and career growth, fostering a diverse and inclusive work environment.

Network & Security Engineer

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 23, 2025

Kyndryl is seeking a bilingual F5 BIG-IP Specialist to ensure smooth operation of customers' IT infrastructure. The role involves managing traffic, diagnosing and resolving issues, and collaborating with cross-functional teams. The ideal candidate should have at least 5 years of experience in IT infrastructure management, strong hands-on experience with F5 BIG-IP systems, and knowledge of traditional network devices. Fluency in Japanese and understanding of Japanese work culture are required. The role offers opportunities for growth, working with cutting-edge technologies, and contributing to innovative solutions.

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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