Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Cambridge. The ideal candidate will possess strong skills in machine learning algorithms, data analysis, and software development. You will be involved in designing and implementing cutting-edge machine learning models to solve real-world problems and contribute to groundbreaking projects in the AI domain.

Responsibilities

• Prototype and deploy machine learning models into production environments.
• Collaborate with cross-functional teams to assess project requirements and deliverables.
• Identify and resolve technical challenges related to ML implementation.
• Maintain datasets, ensuring data integrity and compliance with data privacy regulations.
• Mentor junior team members and provide guidance on best practices in machine learning.
• Contribute to open-source projects and share knowledge with the community.
• Stay abreast of the latest scientific research in the field of AI and machine learning.

Requirements

Education

• Bachelor's degree in Computer Science, Engineering, or related field
• Master's degree is a plus

Experience

• 3+ years in data science or machine learning

Technical Skills

• R
• SQL

Soft Skills

• Teamwork
• Adaptability

Certifications

• AWS Certified Machine Learning – Specialty

Languages

• English: Fluent

Advantageous

• Familiarity with Docker and Kubernetes: Experience in containerization and orchestration for ML applications.
• Hands-on experience with data visualisation tools: Ability to create dashboards and reports for data insights.

Benefits

• Generous annual leave and sick pay
• Comprehensive health and dental coverage
• Employee referral bonuses
• Access to the latest tools and technologies

Company Culture

• Growth Focused: We prioritize personal and professional growth, providing mentorship and learning opportunities.
• Team-oriented: We believe in the power of teamwork to achieve our goals and deliver results.
• Open Communication: We foster an environment of transparency and open dialogue among team members.