Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our team in Cambridge. This role involves designing, implementing, and optimizing machine learning models, as well as collaborating with cross-functional teams to develop AI-driven solutions. The ideal candidate will possess a strong background in machine learning algorithms, data analysis, and programming. If you're passionate about AI and enjoy tackling challenging problems, we'd love to hear from you.

Responsibilities

• Architect and deploy machine learning solutions in cloud environments.
• Work closely with data engineers to ensure data availability and quality.
• Implement best practices for data governance and model lifecycle management.
• Participate in code reviews and contribute to team knowledge sharing.
• Conduct training sessions for staff on ML principles and practices.

Requirements

Education

• Bachelor's degree in Computer Science or Engineering
• Master's degree in relevant field is advantageous

Experience

• 4+ years of experience in applied machine learning or AI roles

Technical Skills

• R
• Keras

Soft Skills

• Attention to detail
• Adaptability

Certifications

• Certified Data Scientist

Languages

• English: Fluent

Advantageous

• Familiarity with MLOps practices: Experience in operationalizing machine learning models in production.
• Participation in Kaggle competitions: Demonstrated ability to solve complex data-related challenges through competitions.

Benefits

• Comprehensive health, dental, and vision coverage
• 401(k) with company match
• Work from home options
• Training and mentorship programs

Company Culture

• Collaboration: We prioritise teamwork and collaboration, believing that great ideas come from collaboration and shared perspectives.
• Flexibility: Our work environment supports flexibility, allowing employees to maintain a healthy work-life balance.
• Community Engagement: We are engaged in our local community and encourage team members to participate in community service activities.