ML Engineer / Senior Machine Learning Engineer remote

MYO
London
1 week ago
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Join to apply for theML Engineer / Senior Machine Learning Engineer remoterole atMYO.

Salary: £80,000 - £95,000 + 15% bonus + benefits.

Location: Remote / Home based (may require occasional trips to London).

This is a permanent role.

You will be responsible for developing data pipelines, taking data science prototype models to production, fixing production bugs, monitoring operations, and provisioning the necessary infrastructure in Azure.

Experience

  1. Hands-on industry experience in some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work.
  2. Expertise in Python including experience in libraries such as Pandas and scikit-learn.
  3. High proficiency in SQL.
  4. Experience with the following technologies: Python ecosystem, Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primarily Bash but PowerShell).
  5. A solid understanding of modern security and networking principles and standards.
  6. Bachelor's or higher degree in Computer Science, Data Science, or a related quantitative degree from an accredited institution.

Accountabilities Will Include

  1. Leading Machine Learning projects end-to-end.
  2. Developing platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team.
  3. Working with data scientists to understand their data needs and creating data pipelines to ingest data.
  4. Assisting data scientists in taking data science model prototypes to production.
  5. Mentoring and training junior team members.
  6. Collaborating with internal IT teams (security, Cloud, Global Active Directory, Architecture, Networking, etc.) to advance the team's projects.
  7. Enhancing code deployment lifecycle.
  8. Improving model monitoring frameworks.
  9. Refining project operations documentation.
  10. Designing, provisioning, and maintaining the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations.
  11. Writing high-quality code with high test coverage.
  12. Participating in code reviews to help improve code quality.

Technologies/Tools

Python, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, SQL, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Software Development

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