Remote AI ML Jobs

Remote AI/ML Jobs at Global Top Companies, February 2026, Apply Now

Looking to work in machine learning/artificial intelligence from anywhere in the world? Our latest roundup features top remote AI/ML jobs hiring this February 2026. Whether you’re into AI, deep learning, data science or NLP, these roles offer exciting challenges and flexibility. Check them out and apply today, opportunities wonโ€™t wait!

Applied AI Specialist at Swans
Hiring Company: Swans

You will deploy AI solutions that are practical, safe, and built to last. This means working across the full stack of modern AI implementation: custom integrations, automation workflows, LLM-powered tools, and hands-on enablement with client teams. You will build the connectors, agents, and workflows that make AI actually work inside our clients’ existing systems – and you will help our internal team move faster with AI as well.

AI Platform Engineer, Applied AI at Circle
Hiring Company: Circle

We’re looking for a strong AI Platform Engineer to help establish the foundation for this layer. This is a new focus area for us, with this being the first AI platform engineer hire at Circle. Youโ€™ll have significant ownership in shaping how we approach it. This role focuses on production AI systems โ€” building infrastructure to measure and improve themโ€” rather than ML research or model training. If you’re excited about making AI systems work reliably at scale, this is for you.

Senior Marketing Analyst (AI & Web3) – – Venture Business at Improbable
Hiring Company: Improbable

Youโ€™ll be a digital marketing native and ideally a Crypto native, too. Youโ€™ll speak Web3 to a credible level and be happy to move at pace with flexibility, enthusiasm and not a little joy about demystifying data within a supportive (but quite demanding) marketing team and wider organisation.

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Senior Artificial Intelligence Specialist at GR8 Tech
Hiring Company: GR8 Tech

This role focuses on applied Generative AI: internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate.

AI Mentor (Independent Contractor) – Business Leader Programs at Udacity
Hiring Company: Udacity

Responsibilities: Reinforce and expand on concepts covered in Udacityโ€™s AI business leader programs; Guide learners through Udacity course projects, providing structured, actionable advice; Share practical industry experience on how AI is deployed, managed, and scaled within organizations; Clarify complex AI concepts (e.g., generative models, agentic systems, RAG architectures, model evaluation, governance frameworks) in accessible, business-relevant terms; Discuss how AI decisions are made inside organizations, including trade-offs, constraints, and implementation challenges.

Engineering Manager, Machine Learning Platform at Dandy
Hiring Company: Dandy

We are seeking an experienced Engineering Manager, Machine Learning to lead a team of ML Platform Engineers. You will play a key role in laying the foundation that will drive the teamโ€™s successโ€”establishing best practices, solving ambiguous data problems with industry-wide impact, and fostering a culture of innovation.

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Senior Machine Learning Engineer I at Dandy
Hiring Company: Dandy

Responsibilities: Build machine learning models to extract structure from unstructured, information-dense 3D scans as well as other sensory data in dentistry; Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks; Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines; Work with massive datasets to develop both generic models as well as fine tune models for specific applications; Develop evaluation methods which allow us to establish confidence in our datasets and models

Senior Machine Learning Engineer at Constructor
Hiring Company: Constructor

As a member of the Ranking team, you will be encouraged to use world-class analytical, engineering, and machine learning techniques on big data to scale our ranking algorithms. The Ranking team owns all stages of product ranking for Constructorโ€™s Search, Browse, and Autocomplete experiences, including base ranking, ML ranking, personalization, and ranking explanation.

Engineering Manager, Machine Learning at Dandy
Hiring Company: Dandy

Responsibilities; Lead execution of the ML roadmap, managing a team focused on 3D deep learning and computer vision; Partner with product, engineering, and research stakeholders to align and execute technical strategy with business goals; Lead and grow a high-performing team of ML scientists, engineers, and researchers; Drive the development of computer vision models to extract structure from unstructured, information-dense 3D scans; Research and implement state-of-the-art methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks.

AI Offense-Defense Dynamics Lead Researcher at Future Life Organizations
Hiring Company: Future Life Organizations

. In this role, you’ll lead research to decode these offense-defense dynamics, examining how specific attributes of AI technologies influence their propensity to either enhance societal safety or amplify risks. You’ll apply interdisciplinary methods to develop quantitative and qualitative frameworks that analyze how AI capabilities proliferate through society as either protective or harmful applications, producing actionable insights for developers, evaluators, standards bodies, and policymakers to anticipate and mitigate risks.

Python and Kubernetes Software Engineer – Data, Workflows, AI/ML & Analytics at Canonical
Hiring Company: Canonical

As a software engineer on the team, you’ll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

Machine Learning Fellow – Human Frontier Collective at Scale AI
Hiring Company: Scale AI

ย As an HFC Fellow, youโ€™ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systemsโ€”while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

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