Senior Machine Learning Engineer

4 days ago

London Area, United Kingdom Harnham Full time

SENIOR MACHINE LEARNING ENGINEER - Legal Space

HYBRID - 3 Days a week in central London office

Up to £100,000


COMPANY:

We are working with a leadingcompany in the legal space who are investing heavily in the AI/ML space. They are looking for a new ML Engineer to join the team and work closely with the existing Data Science team to help deploy models into production.


Given the industry space, the team have had a particular focus on LLM's.



ROLE:

  • Design, build, and deploy scalable machine learning models to solve complex business problems.
  • Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning.
  • Automate the deployment and monitoring of models in production to ensure continuous performance and stability.
  • Collaborate closely with data scientists, helping them move models from development to production seamlessly.
  • Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy.
  • Develop best practices around model versioning, testing, and governance.
  • Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools.


REQUIREMENTS:

  • 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps.
  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow).
  • Proven track record of delivering ML models that solve real-world business challenges at scale.
  • Excellent communication skills with the ability to work effectively in cross-functional teams.


If this role looks of interest, please reach out to Joseph Gregory

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