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MLOps Engineer

Location:
London
Salary:
£80000 - £100000 per annum + options
Job Type:
Permanent
Date Posted:
19 days ago
Expiry Date:
28/06/2024
Job Ref:
BBBH110084_1716991913
Start Date:
29/05/2024
Contact:
Niall Wharton
Contact Email:
niall.wharton@xcede.com
Specialism:
Cloud Engineering & ArchitectureDevOpsDataData EngineeringData ScienceAI & Machine LearningAI EngineeringMachine Learning

MLOps Engineer

(London - visit the office x3 days a week)

Xcede are delighted to be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer / ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future, we'll need a capable and experienced engineer who is happy making independent technical decisions.

Responsibilities

  • Deploy, optimise and maintain the machine learning models at the core of the company's product offering.
  • Focus on creating state of the art recommendation system and graph network technology that is scalable and stable.
  • Build APIs for the product.
  • Drive smart and necessary DevOps decision within the ML function - MLOps.

Requirements

  • Strong academic background in a relevant field (Statistics, Computer Science, etc.)
  • Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or platform.
  • Some experience of deploying recommendation engines / recommender systems / RecSys
  • Strong cloud experience - ideally AWS / Amazon Web Services.
  • Usage of LLMs in a commercial environment is a bonus.
  • Docker & Kubernetes experience
  • Bonus experience - pathfinder algorithms, graph network experience

If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

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Niall Wharton

Niall Wharton

Specialisms: Data, Data Engineering, AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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