Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

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Lead MLOps Engineer

Fortice
Manchester
9 months ago
Applications closed

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Contract Lead Machine Learning Engineer

*This position requires candidates to hold an active enhanced DV Clearance upon application*


You have a passion for harnessing and channelling the power of AI to make a positive impact, but feel hamstrung by your employer, who are more focused on selling you against particular projects, than unleashing your full potential.


You want to work with the brightest minds, working on cutting-edge technology to create and deliver bespoke and novel solutions to the problems faced by organisations in the National Security sector.


You have led teams of Data Scientists, Machine Learning Engineers, and DevOps engineers. You also have experience gathering requirements from and delivering demos to clients in the secure sector.


If you have been nodding along so far, this super unique opportunity could be right up your street!


In joining this scale-up business in central Manchester, you would be the first hire holding DV clearance and would be the driving force to further drive into the NatSec space. Working collaboratively with a brilliantly bright team of Engineers, and the founders, you'll own the delivery of client projects, from discovery to completion and handover.


As well as client work, you will also have time set aside for R&D projects, to ensure you keep on top of the fast-moving AI/ML landscape.


Your technical experience will include the following:


  • Experience writing and deploying production-grade Python.
  • Leadership, management and mentoring of other engineers.
  • Cloud computing, with modern DevOps practices and IaC tools.
  • A strong opinion on your IDE/editor of choice
  • Familiarity with TensorFlow, Keras, PyTorch or SKLearn.
  • MLOps experience is not essential, but some awareness of this emerging space is beneficial.


Package details:


  • To £75,000 base salary + 10% clearance bonus
  • Equity option scheme
  • Hybrid working (Monday, Wednesday and Thursday in the office)
  • Lunch and learns - amazing food provided!


For further details, please either apply, or message me directly via LinkedIn.

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