AI Deployment Specialist

3 weeks ago


London, Greater London, United Kingdom Aveni Full time

Aveni is an award-winning technology company that's revolutionising the financial services industry using advanced AI. We leverage cutting-edge Natural Language Processing (NLP) and Large Language Model (LLM) expertise to deliver scalable efficiency. Our deep financial services domain knowledge allows us to drive unparalleled productivity and compliance for our clients.

We're looking for a skilled and experienced MLOps Engineer to design, implement, and optimise machine learning infrastructure. You'll be crucial in managing the lifecycle of ML models, from deployment to monitoring and maintenance, in a collaborative and fast-paced environment.

This role involves using Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation for automated deployments. You'll collaborate with data scientists, engineers, and other teams to create optimised, production-ready solutions.

Key responsibilities include:

  • Deploying and orchestrating ML models using Docker, Kubernetes, and other tools
  • Implementing monitoring and logging for ML models, ensuring robust alert systems and dashboards for model health and performance
  • Optimising CI/CD pipelines for ML models to enhance speed and reliability
  • Developing and enforcing best practices for MLOps, including versioning and scalable deployments
  • Supporting the transition from AWS to a multi-cloud environment while ensuring compatibility and reliability

We're looking for someone with demonstrated experience in MLOps or related fields focusing on production-level ML deployment. You should have hands-on experience with AWS, Azure, GCP, and platform-agnostic cloud solutions.

We offer a range of benefits, including:

  • 34 days of holiday, plus your birthday off
  • Career progression opportunities
  • Flexible and remote working
  • Ongoing career development and training
  • Access to perks like free coffee, movie downloads, and high-street discounts
  • Comprehensive employee assistance program for emotional wellbeing
  • Access to a fitness portal and gym discounts
  • Pension scheme


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