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MLOps Engineer AWS

Client Server
Posted 16 hours ago, valid for 6 days
Location

London, Greater London SE1 3UZ, England

Salary

£80,000 per annum

Contract type

Full Time

Life Insurance
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Sonic Summary

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  • The position is for an MLOps Engineer specializing in AWS, IaC, and Python, with a salary of up to £80k.
  • Candidates should have experience in a similar MLOps role and a strong understanding of software engineering best practices.
  • The role involves designing, building, and maintaining scalable machine learning platforms, focusing on fraud detection software used by various clients including UK banks.
  • The company offers flexible working arrangements, including the option to work from home most of the time and a collaborative team environment in London.
  • A degree in a relevant STEM discipline and prior experience with AWS and IaC tools are required for this role.

MLOps Engineer (AWS IaC Python) London / WFH to £80k

Do you have experience of putting Machine Learning models into production?

You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities.

As an MLOps Engineer you'll design, build and maintain scalable machine learning platforms, continually iterating and improving cloud based authentication and fraud detection systems using AWS SageMaker and other AWS services including EC2, S3, Lambda, CloudFormation and CloudWatch. You'll develop robust data pipelines and workflows for efficient data processing and storage using tools such as Amazon Athena, Apache Iceberg and Spark. Your primary focus will be on MLOps and software engineering to develop datasets, data pipelines, platform features, writing Python code to train, deploy, monitor and run real-time inferences.

There's an open, collaborative environment where learning and personal development are key and there's a strong pipeline of Greenfield projects as well as flexible working and a host of benefits; the company has been awarded Platinum standard by Investors in People and is multi-award winning with various DEI initiatives and excellent personal growth and career development opportunities.

WFH Policy:

You can work from home most of the time, joining colleagues in the London 1-2 days a week; when you are in the office you can enjoy a friendly team environment that encourages knowledge sharing and close collaboration.

About you:

  • You have experience in a similar MLOps role with experience of building and maintaining scalable data pipelines and ML platforms
  • You have a strong understanding of software engineering best practices (clean code, SOLID principles, design patterns) combined with Python coding skills
  • You have AWS and IaC experience (AWS CDK, CloudFormation, Terraform)
  • You're able to dig into system performance to optimise data pipelines and workflows
  • You're familiar with containerisation (Docker) and CI/CD tools
  • You're degree educated in a relevant STEM discipline

What's in it for you:

As a MLOps Engineer you will earn a competitive package:

  • Salary to £80k + bonus
  • 25 days holiday (with the option to buy 5 more)
  • Flexible working (including working from home start / finish times)
  • Enhanced maternity and paid parental leave packages
  • Time off to participate in charity initiatives such as Code Club
  • Pension, Life Assurance, Medical care
  • Monthly Wellness budget to spend on what you like
  • Gym membership
  • Annual home office budget
  • Diverse, inclusive team culture with flexible working

Apply now to find out more about this MLOps Engineer (AWS IaC Python) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Apply now in a few quick clicks

In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.