Machine Learning jobs in Canada

Europe

Full time

Remote

Engineering AI & Machine Learning

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

What makes us different?

Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

Become a Krakenite and build the future of crypto!

We are seeking an experienced Senior AI/ML Engineer to join our Core Services team. Our team focuses on building and maintaining some of the core APIs that power Kraken’s user experience, ranging from funding accounts and moving assets to fraud prevention and transaction analysis.

In this role, you’ll be a key contributor in designing and implementing a robust, scalable, and developer-friendly AI/ML platform. This platform will enable data scientists, analysts, and engineers to efficiently build, train, and deploy models that support anti-fraud and compliance monitoring initiatives across the organization.

You’ll thrive here if you have an exceptional eye for detail, take pride in writing performant, secure, and scalable software, and enjoy bridging the gap between data science and production engineering.

• Design and implement robust Python services and libraries to power real‑time fraud detection and compliance monitoring systems.
• Build scalable batch and streaming data pipelines for feature building, model inference, and training, with strong guarantees for data quality, latency, and reliability.
• Develop and operate a developer‑friendly ML platform, including feature stores, data validation tooling, and model‑training pipelines with automated quality checks.
• Support ML model lifecycle management — from feature engineering and experimentation to deployment, monitoring, and performance tuning.
• Manage and optimize real‑time data infrastructure, leveraging technologies such as Kafka, Apache Flink, and Kubernetes/Nomad.
• Work closely with experienced Python and Rust engineers, data scientists, and business stakeholders.
• Mentor junior engineers, foster best practices, and help shape a strong engineering culture.
• Stay current with MLOps, AI infrastructure, and data engineering trends, bringing innovative solutions into production.
• Take end‑to‑end ownership of systems and services, ensuring scalability, maintainability, and security.

• 5+ years of engineering experience in the Data and/or AI/ML space
• Strong software engineering background, with proficiency in Python (familiarity with Rust is a plus)
• Proven experience designing and implementing large‑scale batch data processing workflows (e.g., Pandas, Spark, Polars, SQL)
• Hands‑on experience developing and operating real‑time, low‑latency, streaming data pipelines (e.g., Apache Flink, Kafka, Beam)
• Proven experience in building and maintaining AI/ML or data platforms at scale.
• Solid understanding of MLOps concepts — including model lifecycle management, CI/CD for ML, feature stores, and data validation frameworks.
• Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.
• Hands‑on experience with containerization and orchestration technologies such as Docker, Kubernetes, or Nomad.
• A pragmatic mindset, able to balance technical rigor, performance, and delivery timelines.
• Excellent communication and collaboration skills, with the ability to partner across disciplines.
• A passion for building secure, reliable systems that support mission‑critical business functions.

This job is accepting ongoing applications and there is no application deadline.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!

As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

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