Machine Learning Engineer at Kraken

Manchester, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Machine Learning, or a related field, and ideally have 3+ years of experience in developing and deploying machine learning models, with a strong focus on large language models (LLMs). Experience with RAG techniques, fine-tuning, and reinforcement learning is highly desirable, along with proficiency in Python and familiarity with Kubernetes.

Responsibilities

The Machine Learning Engineer will collaborate with a high-performing team to tackle significant business challenges, exploring new technologies and validating their value alongside other teams. They will work across the entire product lifecycle, from identifying potential applications of AI to prototyping and deploying solutions, utilizing LLMs and advanced techniques like GraphRAG and agentic workflows. Additionally, they will contribute to building fast, scalable systems using Python and Kubernetes, and support the company’s internal AI tooling to improve developer productivity and automate processes for new clients.

Skills

LLMs

MLOps

Backend Engineering

Frontend Engineering

GraphRAG

Agentic Workflows

Finetuning

Reinforcement Learning

Classic ML

NLP

Python

Kubernetes

Kraken

Cryptocurrency exchange for buying and trading

About Kraken

Kraken is a cryptocurrency exchange platform that allows users to buy, sell, and trade various digital assets. It offers features that cater to both beginners and experienced traders, making it easy to navigate the cryptocurrency market. Users can execute trades with high liquidity, which means their transactions are completed quickly. The platform charges low transaction fees, sometimes as low as 0%, helping users keep more of their profits. Kraken also provides advanced charting tools to help investors track their investments effectively. Security is a major focus, with multiple protective measures in place to keep user assets safe. The platform supports 70 different asset pairs and is continuously expanding its offerings. Additionally, Kraken offers 24/7 global support to assist users with any questions or issues.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$108.5MTotal Funding

SERIES_CCompany Stage

Crypto & Web3, Financial ServicesIndustries

501-1,000Employees