* Join A Growing Team Working On Exciting Projects
* Hybrid Working
About Our Client
Our client is a fast-growing fin-tech based in London who are looking to rapidly expand their data function and capabilities while they grow not only in the UK but also on a global scale.
Job Description
Your main responsibilities as an ML Ops engineer will include but will not be limited to:
* Building and maintaining machine learning infrastructure
* Deploying machine learning models into production
* Working with the Analytics team to optimise existing ML models
* Collaborating with data scientists to implement new machine learning algorithms
* Participating in the design and review of machine learning systems
* Ensuring data quality and integrity in machine learning systems
* Monitoring the performance of machine learning models in real-time
* Troubleshooting and resolving issues with machine learning models and infrastructure
The Successful Applicant
A successful candidate will have the following:
* Strong understanding of machine learning algorithms and principles
* Experience with machine learning frameworks and libraries
* Proficiency in programming languages such as Python
* Strong problem-solving skills and attention to detail
* Excellent communication skills, both written and verbal
* Ability to work collaboratively with a team
* An understanding of CI/CD principles, containerisation (Docker, Kubernetes)
Desirable Skills
Experience with any of the following would be a bonus:
* Terraform, AWS, Rackspace, Helmchart, Jenkins, Snowflake
What's on Offer
For a successful ML Ops engineer, there is the possibility to work in a hybrid format earning a competitive day rate with a leading fin-tech client of ours on an initial 6-month contract with the possibility of an extension.
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