Remote Machine Learning Engineer

This 2026 curated listing on Wellfound features recently posted (as of 3 weeks prior to listing date) fully remote Machine Learning Engineer opportunities across a range of high-growth startups and established tech companies. All roles offer competitive, market-aligned compensation, with reported annual salary ranges of £100,000–£135,000 for positions based in the UK, and ₹1.5–2.5 million for fully remote roles based in India. Positions require a minimum of 5 years of professional experience in machine learning engineering or a closely related technical field, and come with no in-office attendance requirements, allowing for full flexibility in work location within eligible hiring regions.

Typical responsibilities for these roles include designing, building, and optimizing scalable machine learning pipelines, collaborating with cross-functional teams of data scientists, product managers, and software engineers to deploy production-ready ML models that power core product features, and researching and implementing cutting-edge advancements in areas including generative AI, natural language processing, computer vision, and ML ops. Openings span industries such as fintech, SaaS, e-commerce, and AI research, with tracks available for both individual contributors and team leads depending on the hiring organization’s structure. All roles are fully remote, with support for asynchronous work and distributed team collaboration tools to enable seamless productivity across time zones.

• Minimum 5 years of professional experience in machine learning engineering, ML ops, or a closely related technical role
• Proficiency with core ML frameworks and tools including TensorFlow, PyTorch, Scikit-learn, and at least one major cloud ML service (AWS SageMaker, GCP Vertex AI, or Azure Machine Learning)
• Strong proficiency in Python, with familiarity in performance-oriented languages such as C++ or Java for model optimization
• Proven experience building, deploying, and maintaining production-grade machine learning models and scalable end-to-end ML pipelines
• Solid understanding of data engineering fundamentals, including data preprocessing, feature engineering, and working with large structured and unstructured datasets
• Strong cross-functional communication skills, with the ability to translate complex ML technical concepts for non-technical stakeholders
• Eligibility to work remotely in the hiring organization’s supported region (including India, UK, and other eligible global locations for listed roles)