Senior Machine Learning Engineer

JR United Kingdom; York; On-site; GBP 60,000 - 80,000; Full time

Job summary

Join a fast-paced crypto start-up as a Senior Machine Learning Engineer, where you'll develop and implement machine learning models to optimize the analytics platform. Collaborate with a dynamic team to drive innovation and leverage state-of-the-art technologies in the exciting world of cryptocurrency.

Qualifications

• Proven experience as a Machine Learning Engineer.
• Strong understanding of algorithms and data modelling.
• Experience in Python and similar frameworks.

Responsibilities

• Develop and deploy machine learning models for the analytics platform.
• Collaborate with teams to define AI-driven solutions.
• Stay updated with trends in ML and crypto technologies.

Skills

Machine Learning

Python

Data Modelling

Problem Solving

Tools

TensorFlow

Job description

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Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform.

As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth.

Responsibilities:

• Develop and deploy machine learning models to enhance the analytics platform.
• Collaborate with cross-functional teams to define and implement AI-driven solutions.
• Work on innovative, data-driven projects within the crypto space.
• Stay up to date with the latest trends in machine learning and crypto technologies.

Requirements:

• Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling.
• Experience in Python, TensorFlow, or similar frameworks.
• A passion for cryptocurrency and blockchain technologies.
• Strong problem-solving skills and the ability to work in a fast-paced, remote environment.

How to Apply:

Please register your interest by sending your CV to Joseph Gregory via the Apply link on this page.