Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our team in Manchester. The successful candidate will focus on developing cutting-edge machine learning models and algorithms that drive key business decisions. You will work closely with data scientists and engineers to implement scalable ML solutions.

Responsibilities

• Create and maintain ML pipelines for model training and evaluation.
• Conduct research to advance the state-of-the-art in AI/ML.
• Collaborate with product teams to define ML-driven features.
• Implement best practices for data collection and processing.
• Monitor and troubleshoot production ML models to ensure performance.
• Contribute to open-source projects and engage with the ML community.

Requirements

Education

• Bachelor's degree in a quantitative field
• Master's degree in AI or Machine Learning is preferred

Experience

• 3+ years of hands-on experience in machine learning applications

Technical Skills

• Deep Learning
• Natural Language Processing

Soft Skills

• Critical Thinking
• Communication Skills

Certifications

• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure Data Scientist Associate

Languages

• English: Fluent

Advantageous

• Understanding of big data technologies such as Hadoop and Spark: Expertise in handling and processing large datasets effectively.
• Knowledge of MLOps practices: Experience implementing MLOps for streamlined deployment and monitoring.

Benefits

• Comprehensive health, dental, and vision coverage
• Pension scheme with employer contributions
• Flexible working hours and remote work options
• Access to training and conferences

Company Culture

• Diversity and Inclusion: We are committed to creating a diverse workforce where every individual feels valued and included.
• Respect and Integrity: We foster an environment of respect and integrity, ensuring everyone operates ethically.
• Community Engagement: We believe in giving back to the community and regularly participate in outreach initiatives.