Description
Client Details
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.
Description
Your main responsibilities as an ML Ops engineer will include but will not be limited to:
- Building and maintain 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 resolve issues with machine learning models and infrastructure
Profile
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)
As a desirable, experience with any of the following would be a bonus: Terraform, AWS, Rackspace, Helmchart, Jenkins, Snowflake
Job 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.