Junior MLOps Engineer

Edinburgh, United Kingdom Posted on 01/07/2025

Are you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)?

We're looking for a motivated Junior MLOps Engineer with a DevOps background, 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!

About Aveni

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We're using the latest in AI to automate and innovate, empowering businesses to achieve exceptional productivity and compliance outcomes.

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

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 is 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

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

• A collaborative and innovative work environment with excellent career growth opportunities
• 34 days holiday plus your birthday off (including bank holidays)
• Share options - we believe in shared success
• Skills development - continuous learning is at our core, and development will be front and center of everything you do
• Remote and flexible working - remote, co-working spaces, or a mix of both
• Life insurance, income protection, and private healthcare
• Freebies and discounts at a range of retailers
• Emotional wellbeing support (employee assistance program providing 24/7 counselling and emotional support)
• Cycle to work scheme
• Pension scheme (employer contribution matched up to 5%)

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 shaping the future of financial services, we'd love to hear from you. We know some people might only apply if they meet 100% of the requirements, but we encourage you to apply regardless.

Apply now to join us on our mission to transform the financial services industry through AI!