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Senior DevOps Engineer

Roles & Responsibilities

  • Industry experience in DevOps or MLOps roles (ideally in AWS environments)
  • Hands-on with Docker, Kubernetes, and Terraform
  • Strong scripting skills in Python or Bash
  • Familiar with ML lifecycle tools, model monitoring, and versioning

Requirements:

  • Automating Machine Learning workflows (training → deployment) with AWS and GitOps
  • Deploying LLMs using Kubernetes and Docker
  • Building infrastructure with Terraform and Helm
  • Monitoring and maintaining ML models with performance alerts and dashboards

Job description

This is a remote position.

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)?


Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations.


We're looking for a motivated Senior DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you!


What You'll Be Doing:

  • Automating Machine Learning workflows (training → deployment) with AWS & GitOps
  • Deploying LLMs using Kubernetes & Docker
  • Building infrastructure with Terraform & Helm
  • Monitoring and maintaining ML models with performance alerts and dashboards
  • Supporting CI/CD for ML pipelines
  • Developing production-grade APIs (REST/gRPC) to serve models
  • Collaborating with engineers, data scientists & DevOps teams

Requirements

Your Experience:

  • Industry experience in DevOps or MLOps roles (ideally in AWS environments)
  • Hands-on with Docker, Kubernetes, and Terraform
  • Strong scripting skills in Python or Bash
  • Familiar with ML lifecycle tools, model monitoring, and versioning
  • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus


Bonus Points:

  • Experience with observability frameworks like Prometheus or OpenTelemetry
  • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace
  • Exposure to Azure or GCP
  • Passion for financial services


Requirements:

  • Degree in Computer Science, Engineering, Data Science or similar


Benefits

What We Offer


  • Remote-first working across the UK.
  • Work abroad policy for when you want a change of scenery.
  • Co-working spaces available if you want an office buzz sometimes.
  • 34 days holiday (including flexible bank holidays) and your birthday off.
  • Company-wide off-sites (yes, karaoke may happen).
  • Optional Personal Development Plan.
  • Flexible benefits platform: you choose the benefits that matter most to you (not the company).
  • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions).
  • Private health- and dental care for your peace of mind.
  • Potential share options, have a stake in what you’re building.
  • Enhanced family leave.


Join Us in Making a Difference


At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!




Salary: Up to £80,000

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