Machine Learning Engineer (Home based in UK or France)

Overview

Company Description

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

Machine Learning Engineer (Based in UK or France)
• Reporting to the Machine Learning Operations Engineering Lead.
• This role will be homebased with trips to the offices when required.
• Competitive salary, Bonus and benefits.

Key responsibilities:
• Model Deployment: Participate efforts to deploy machine learning models into production environments, making them available for real-time inference and ensuring scalability and reliability.
•… Collaboration: Collaborate with data scientists, software engineers, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and optimise CI/CD pipelines for machine learning models, automating testing and deployment processes.
• Monitoring and Logging: Set up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
• Version Control: Implement version control systems for machine learning models and associated code to track changes and facilitate collaboration.
• Research and Evaluate: Research and evaluate emerging technologies and tools to enhance machine learning operations and efficiency.
• Security and Compliance: Ensure that machine learning systems meet security and compliance standards, including data protection and privacy regulations.
• Documentation: Maintain clear and comprehensive documentation of ML Ops processes and configurations.

Qualifications

Qualifications & Experience
• Bachelor’s Degree, master’s or PhD preferred.
• Experience as a Machine Learning Ops Engineer or in a similar role would be beneficial.
• Strong programming skills in Python, SQL, PySpark, TypeScript, library and packages related to data manipulation, statistical analysis, chart/plot, and machine learning algorithms and framework.
• Proficiency in PySpark dataframe and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries.
• Strong experience with Machine Learning life cycle, be able to implement feature store, MLflow, model registry, model deployment, model serving, model monitoring.
• Proficiency in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Tools and skills you will use in this role:
• Palantir Foundry
• Pyspark, Python, SQL, TypeScript
• Machine Learning Packages (Scikit-learn, Tensorflow, PyTorch, Keras, Numpy)
• Git, Jira, Confluence, Jenkins
• AWS

Additional Information

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status

Company:

AbbVie

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Classification, Clustering, Industry, Machine Learning, NLP, United Kingdom