Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Cardiff. The ideal candidate will have experience in developing and deploying machine learning models, utilizing various algorithms to extract insights from complex datasets. This role is perfect for someone passionate about AI and eager to contribute innovative solutions that drive business success.

Responsibilities

• Implement machine learning solutions using Python and popular frameworks like TensorFlow or PyTorch.
• Work with large datasets to train and validate models, ensuring data integrity and quality.
• Collaborate with multidisciplinary teams to achieve project goals.
• Engage with stakeholders to understand project requirements and expectations.
• Monitor and troubleshoot model performance and production issues.
• Contribute to the development of data pipelines and architecture.
• Stay abreast of industry trends and emerging technologies in AI and machine learning.

Requirements

Education

• Bachelor's degree in Computer Science, Mathematics, or a related field
• Master's degree is an advantage

Experience

• 3+ years of relevant experience in AI and machine learning projects

Technical Skills

• R
• Data Visualization

Soft Skills

• Critical Thinking
• Adaptability

Certifications

• Google Professional Machine Learning Engineer
• Data Science Certification

Languages

• English: Fluent

Advantageous

• Knowledge of Big Data technologies: Familiarity with tools like Hadoop or Spark for processing large datasets.
• Experience in Agile methodologies: Experience working in an Agile environment for project management.

Benefits

• Generous leave policy including annual leave and sick leave
• 401(k) retirement plan with company matching
• Team-building activities and social events
• Access to the latest technology and tools

Company Culture

• Continuous Learning: We provide various learning opportunities and resources to enhance professional growth.
• Work-life Balance: We prioritize a healthy work-life balance for our employees.
• Engagement: We foster a work environment that is engaging and rewarding.