Senior Machine Learning Architect

3 days ago


London, Greater London, United Kingdom oilandgas Full time

At oilandgas, we're committed to delivering light, heat and mobility to millions of people every day. As a Senior Machine Learning Architect, you'll play a critical role in helping us achieve our goal of becoming a net-zero company by 2050 or sooner.

We're seeking an experienced professional with expertise in designing and implementing scalable machine learning pipelines. The ideal candidate will have a strong background in developing end-to-end ML solutions that ensure consistency between development and production environments.

The salary for this position is estimated to be around $150,000 per year, based on industry standards and the level of experience required. However, please note that this figure is approximate and may vary depending on individual circumstances.

Job Description

Critical Responsibilities:

  • Design and implement reliable, secure and maintainable modelling frameworks for deploying models to production easily.
  • Own the full ML life cycle for significant new ML products, including production quality.
  • Advocate for ML excellence and code deliverables in tandem with Data Scientists.
  • Play a critical role in setting up directions and goals for the team.
  • Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability.

Requirements:

  • Able to solve technical problems that few others can do.
  • Ability to lead/coordinate rollout and releases of major initiatives.
  • Experience with developing end-to-end machine learning pipelines that ensure consistency between development and production environments.
  • Experience working with distributed storage systems.
  • Ability to design ML architectures for scale with site traffic and complexity of features for predictive algorithms.
  • Care with regards to model and data versioning, resource allocation and scaling, and logging to build optimal systems.
  • Experience with creating systems that monitor and react to faults in resources, data streams and model responses.
  • Deep experience with MLOps tools for scalable, production-level deployment including past work with feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation.

Nice to Have:

  • Experience with Azure or AWS.
  • Experiences with python and other programming languages such as Java, Kotlin or Scala.
  • Experience with Spark or other Big Data frameworks.
  • Experience with Kubernetes for data and ML workloads.
  • Experience working with open-source machine learning libraries.
  • Significant commercial experience in a related role.
  • Commonly used ML Libraries experience.

Benefits:

  • An excellent working environment.
  • An open and inclusive culture.
  • A great work-life balance.
  • Tremendous learning and development opportunities.
  • Life and health insurance.
  • A medical care package.

Other Information:

  • Negligible travel expected with this role.
  • This role is eligible for relocation internationally.
  • This position is a hybrid of office/remote working.


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