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Lead MLOps Engineer

Lead MLOps Engineer
ClickJobs.io
8 months ago

Job Details

Lead MLOps Python Engineer

Location: Manchester/ Hybrid

Salary: Cannot disclose on adverts; however happy to discuss on messages or call :)

Job Requirement

  • You must be able to gain Security Clearance for this role (which means a UK resident for the last 5 years)

Opportunity

We have an exciting opportunity for someone passionate about Python engineering, MLOps & Machine Learning with one of our start-up/ scaling clients based right in Manchester City Centre. They are a fantastic company who help their customers with their AI innovation and work with them to build AI models to add real business value. You will be working with open-source tools and be able to work with a fantastic range of clients on super exciting projects right from the start of your career here.

Team Culture

The team are super talented and passionate about what they do; so you will get to work with some great people who not only will share their knowledge but also have some fun hobbies and a good social culture if this is something you want to get involved with.

Role

You would work directly with customers to build cutting edge solutions in the ML, LLM space. (you don't need to be an expert in ML for this role) You would be leading projects with customers and leading other engineers to help deliver on these projects As part of your role, you will be given time to research weekly; looking at new technologies and be part of producing content around this for the business. There is also plenty of collaboration between the team members, to share & review ideas and thoughts.

Skills

  • Eligible for SC
  • Python Engineering
  • Cloud & Devops (can be any vendor)
  • Experience with IaC - such as Terraform would be great!
  • Passion & ideally (hobby or commercial) experience in Machine Learning or Data Science
  • Experience working at a senior level; leading stakeholder conversations & project delivery.

Interest

Of course, they are looking for someone who is truly passionate about this area and developing your career within the MLOps, ML space. Please get in touch to find out more :)

Expertise level

Work arrangement

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