Machine Learning Engineer

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our team in Bristol. The successful candidate will be responsible for developing and implementing state-of-the-art machine learning algorithms to enable cutting-edge AI solutions. You will work closely with data scientists and software engineers to harness the power of data and translate it into actionable insights.

Responsibilities

• Design end-to-end machine learning solutions based on project requirements.
• Work with large datasets to extract meaningful patterns and insights.
• Collaborate with stakeholders to translate business needs into technical specifications.
• Document models and workflows for reference and compliance.
• Help mentor junior team members in machine learning concepts and best practices.

Requirements

Education

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

Experience

• 3+ years of experience in machine learning or data science

Technical Skills

• Python
• TensorFlow
• Scikit-learn
• SQL
• Data Visualization Tools

Soft Skills

• Analytical Thinking
• Communication
• Team Collaboration

Certifications

• Certified TensorFlow Developer
• AWS Certified Machine Learning Specialty

Languages

• English: Fluent

Advantageous

• Experience with cloud platforms: Familiarity with cloud services like AWS or Azure for deploying ML models.
• Experience with big data technologies: Knowledge of frameworks like Hadoop or Spark for large-scale data processing.

Benefits

• Health and wellness benefits including dental and vision insurance
• Generous annual leave policy and flexible working hours
• Opportunities for professional development and training
• A collaborative and innovative work environment

Company Culture

• Innovation at Heart: We encourage our employees to explore and innovate, giving them the freedom to experiment with new ideas.
• Diversity and Inclusion: We champion diversity and aim to create an inclusive environment for all team members.
• Continuous Improvement: We believe in learning and growth, offering numerous resources for professional development.