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.

Account Representative

Company: Ansys

Location: Sheffield, United Kingdom / Remote

Posted Jan 24, 2025

Director II, Pricing Tools Leader - US Data Science Infrastructure

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 24, 2025

Liberty Mutual's USDS Infrastructure is seeking a dynamic leader for the Pricing Tools team. The ideal candidate will excel as a people and stakeholder manager, with technical expertise in insurance pricing. They will oversee a team of analysts, responsible for building tools to deliver pricing products in USRM. The primary objective is to architect, construct, and maintain tools that enhance the speed and ease of bringing pricing programs to market. The role involves leading and managing a team, shaping the team's direction, coaching and developing team members, and collaborating with various teams within Liberty Mutual.

Content Marketing Manager

Company: DigitalOcean

Location: Gunnison, CO / Remote

Posted Jan 24, 2025

Contract: Senior/Lead DevOps (Platform Tooling) Engineer

Company: Upwork

Location: Remote

Posted Jan 24, 2025

Upwork, a global work marketplace, is seeking a Senior Platform Tooling Engineer. The role involves supporting both the core Marketplace business and the AI/ML business unit, Umami. The engineer will manage thousands of microservices and tens of thousands of builds per week, using the latest Cloud Native technologies. The Platform Engineering team, where the successful candidate will work, is responsible for every step of the software development life cycle for hundreds of microservices. Key responsibilities include designing and implementing CI/CD pipelines, providing on-call support, and contributing to platform development. Upwork offers impact at scale, innovation and freedom, complex challenges, a collaborative culture, and the opportunity for transformative contributions.

Senior Software Engineer, AI

Company: FiscalNote

Location: Remote

Posted Jan 24, 2025

As a Senior Software Engineer, you will be part of a dynamic team developing new user experiences for the flagship web application. You'll work on the full stack, using modern Python (FastAPI) and JavaScript (React, Next.js) technologies, and integrate AI capabilities. The role involves designing data pipelines, integrating software solutions, and mentoring other engineers. Familiarity with AWS, Docker, Kubernetes, and various databases is required. FiscalNote, a leader in policy and global intelligence, offers a competitive benefits package and values diversity.

Sr Product Specialist

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 24, 2025

Thermo Fisher Scientific is seeking a Sr Product Specialist, Human Genotyping Sales for the Midwest region. The role involves growing the company's presence in Human genotyping, focusing on Axiom product lines, and working with marketing and business partners. The successful candidate will develop and own annual and quarterly business plans, understand customer needs, and manage the sales process. A Bachelor's degree in a related field is required, with a Master's or PhD being desirable. At least 5 years of sales experience, preferably in genomics, is needed. The role is remote and requires approximately 40-50% travel.

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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