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Machine Learning Engineer
Posted on 5/11/2022
INACTIVE
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
AWS
Apache Kafka
Docker
Google Cloud Platform
Microsoft Azure
MongoDB
NumPy
Pandas
Postgres
Kubernetes
Python
Requirements
  • Once your application has been submitted, a member of the Talent Team will review
  • You will be booked in for an initial phone interview to find out more about your skills and experience, plus give you the opportunity to ask any questions
  • You will then be booked in for a coding and problem solving session so we can see you in action! You will meet your potential team members and also see the sort of problems that you will be solving
  • You will then have a final interview with the hiring manager. They will want to find out more about you and give you all the information you need to make an informed decision
  • We will present an offer!
Responsibilities
  • Work alongside Data Scientists to develop and productionize machine learning models for your squad
  • Build out the software ecosystem for your squad, including feature extraction and storage, workflow managemWent, model delivery and more
  • Help the team to make the right technical and architectural decisions as we evolve and scale our systems
  • Integrate ML models into new and existing data pipelines to drive positive impacts for CA's customers
  • Undertake prototyping and research work to determine the best approach to achieve the team's goals
  • Develop machine learning models and the productionisation of machine learning prototypes
  • Deploy and support machine learning models in production
  • Deliver and support data-intensive applications in production and at scale
  • Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
  • Analyse and problem solve effectively, taking ownership of technical problems from scoping to delivery
  • Work as part of a cross-functional team in an agile environment
Desired Qualifications
  • Experience working with cloud (AWS / Azure / GCP) or containerised infrastructure (Kubernetes / Docker / ArgoCD / Argo Workflow
  • Comfort working with numeric computing libraries such as NumPy and Pandas
  • Experience with databases (MongoDB, PostgreSQL), message queues (Kafka) and data engineering workflows (batch processing, ETL, streaming)
ComplyAdvantage

201-500 employees

Company Overview
ComplyAdvantage helps firms make intelligent risk decisions, faster by providing real-time insight into the risk of people and companies.