Machine Learning Engineer

Job Description

We are on the lookout for a Machine Learning Engineer to join our dynamic team in Leeds. The ideal candidate will have a strong foundation in machine learning algorithms and a passion for developing innovative AI solutions. You will collaborate with data scientists and software developers to implement and optimise models that drive our AI initiatives. This role is perfect for someone eager to push the boundaries of technology and make a significant impact in the field of artificial intelligence.

Responsibilities

• Design and implement custom machine learning pipelines.
• Work closely with software engineers to integrate ML solutions into applications.
• Optimise existing models for better speed and efficiency.
• Research and apply new techniques in machine learning to stay competitive.
• Mentor junior engineers and provide guidance on projects.
• Document processes and findings for future reference.

Requirements

Education

• Bachelor's degree in Computer Science or a related field
• Master's degree in Data Science or related field is preferred

Experience

• 5+ years of experience in machine learning and AI

Technical Skills

• Machine Learning Algorithms
• Data Analysis

Soft Skills

• Team Leadership
• Adaptability

Certifications

• Google Professional Machine Learning Engineer

Languages

• English: Fluent

Advantageous

• Experience with deep learning frameworks such as Keras: Proficiency in using Keras for building and training neural networks.
• Knowledge of data engineering principles: Understanding of data processing pipelines and data warehousing.

Benefits

• Comprehensive health benefits including dental and vision
• Generous retirement plan with company contributions
• Flexible work environment
• Support for continuous learning and certifications

Company Culture

• Collaboration: We promote teamwork and collaboration across all departments.
• Supportive Environment: Our goal is to cultivate a supportive environment where employees can thrive.
• Work-Life Balance: We value a healthy work-life balance and offer flexible working arrangements.