Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Bristol. The ideal candidate will have a strong background in developing machine learning models and algorithms, with a passion for solving complex data-driven problems. You will work closely with cross-functional teams to design and implement innovative solutions that drive our AI initiatives.

Responsibilities

• Build predictive models and machine learning algorithms to solve complex problems.
• Conduct experiments to validate model effectiveness and improve results.
• Support model deployment and monitor performance in various environments.
• Collaborate with product teams to define requirements for machine learning applications.
• Participate in training and mentoring junior engineers on ML best practices.
• Stay up-to-date with advancements in machine learning and AI technologies.

Requirements

Education

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

Experience

• 5+ years of experience in machine learning and AI development

Technical Skills

• Deep Learning
• Machine Learning Algorithms
• Cloud Platforms

Soft Skills

• Critical thinking
• Problem-solving

Certifications

• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience in NLP and Computer Vision: Hands-on experience in natural language processing and computer vision applications.
• Knowledge of MLOps practices: Familiarity with MLOps for streamlining ML model deployment and monitoring.

Benefits

• Comprehensive health coverage including dental and vision
• Generous annual leave and holiday pay
• Professional training and certifications provided
• Collaborative and inclusive work culture

Company Culture

• Continuous Learning: We promote continuous learning, providing resources for upskilling and professional growth.
• Work-Life Balance: We believe in maintaining a healthy work-life balance to enhance productivity and well-being.
• Employee Recognition: We value and recognize the contributions of our employees to our success.