Equal Experts is an innovative consultancy specialising in the delivery of custom software solutions for blue-chip enterprise and public sector clients across a range of industry sectors. We work on important projects for our clients, deliver market-leading propositions across the digital, online and mobile channels, and are recognised for our leadership in the application of agile and lean delivery methods to assure delivery. We have offices in Australia, India, South Africa, the UK, the EU and the USA.


We’re looking for ML Engineers with proven senior-level experience to join the Equal Experts network.


Equal Experts ML Engineers are passionate about machine learning, data engineering and software development. The remit as an Equal Experts consultant includes advising clients on all of the ML platform capabilities for training, deploying, evaluating and tuning ML models and features, including associated data pipelines.


Deployment, TDD, and XP - to deliver timely and pragmatic solutions, as well as helping others to do their jobs in a more effective way.


This role involves working in teams that use modern agile technical practices - including continuous integration and deployment and fast feedback loops - to deliver timely and pragmatic solutions, as well as helping others to do their jobs in a more effective way.




In this role you will be working directly on pricing models for a global blue chip company based in the US.


Required skills

  • Experience in working with data and ML Engineering, and familiarity with building ML Ops on cloud solutions including (AWS, Azure or GCP).
  • Knowledge of the best practices in building, deploying and operating production ML workloads, inc. training, prediction/generation and feature engineering. Experience in teams delivering production ML use-cases.
  • Vision for what great ML platform capabilities look like. Bonus points if you've been involved in deploying ML platforms at scale before.
  • Familiarity with software architecture in a cloud environment ideally including data lakes, ML platforms, feature stores and microservice architecture.
  • Ability to engage and contribute technical discussions with engineers and stakeholders.
  • Experience working with a programming language such as, Python, Scala, .NET or Java.




For any questions on this opportunity please feel free to get in touch at Additionally, with this role it is required to with US central time (11am - 7pm CET)

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