Offer summary

Qualifications:

Degree in Computer Science, Engineering, or Data Science., Industry experience in DevOps or MLOps roles, preferably with AWS., Proficiency with Docker, Kubernetes, and Terraform., Strong scripting skills in Python or Bash..

Key responsibilities:

Automate ML workflows from training to deployment using AWS and GitOps.

Deploy and maintain Large Language Models (LLMs) in production environments.

Build infrastructure with Terraform and Helm.

Collaborate with engineers, data scientists, and DevOps teams.

Job description

Junior MLOps Engineer

Remote in Scotland

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 tMLOps 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

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

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

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 £50,000

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