Axion Ray
Engineering program & quality management powered by AI optimization system.
Data Science • Automotive • Aerospace • R&D • Engineering
11 - 50
Sr. Machine Learning Engineer
August 21
🏢 In-office - London
Axion Ray
Engineering program & quality management powered by AI optimization system.
Data Science • Automotive • Aerospace • R&D • Engineering
11 - 50
Description
• Contribute to our product development by working end-to-end from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them • Work closely with data scientists, data engineers to build and deploy machine learning models • Work closely with full-stack engineers to ensure your models are optimally used by the end users • Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
Requirements
• Master's degree in Computer Science or related field with research in machine learning • Enjoys deriving insights from ML models, building explainable ML models and not just black box algorithms • Knows how to deploy models so they are useful for cross-functional teams • Comfortable with deploying data/code to the cloud (GCP preferred) • 4+ years of professional experience using Python required and takes pride in writing clean, well-documented code • Excited about data exploration (in BigQuery/Jupyter notebooks/SQL) as well as building models and setting up data/ML pipelines • Ability to use SQL to derive quick insights from databases • Understands the best practices of collaborative coding using tools like Git, CI/CD • Comfortable working in a fast-paced environment with shifting priorities • Ability to manage evolving deadlines and strong communication skills to share changes across various stakeholders • 3+ years of industry experience in data science/ML
Benefits
• Highly competitive compensation • Meaningful equity • Career development and leadership opportunities • A great team in our vibrant office in Shoreditch • Free lunches in the office • Collaborate with cross-functional teams on interdisciplinary projects to develop your skills
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