Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to automate and deploy cutting-edge machine learning models in production.
- Company: Aveni is an award-winning tech company revolutionising financial services with advanced AI.
- Benefits: Enjoy 34 days holiday, remote work options, and continuous skills development.
- Why this job: Be part of a collaborative team driving innovation in financial services through AI.
- Qualifications: Degree in Computer Science or related field; DevOps experience preferred.
- Other info: Diversity is key at Aveni; we welcome all applicants eager to make an impact.
The predicted salary is between 28800 - 43200 £ per year.
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
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 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
Qualifications
- Degree in Computer Science, Engineering, Data Science, or similar
What We Offer
- 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!
#J-18808-Ljbffr
Junior MLOps Engineer employer: Aveni UK
Contact Detail:
Aveni UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior MLOps Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Docker, Kubernetes, and Terraform. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with the MLOps community online. Join forums, attend webinars, or participate in relevant discussions on platforms like LinkedIn. This will help you stay updated on industry trends and may even lead to networking opportunities that could benefit your application.
✨Tip Number 3
Consider working on personal projects that involve deploying machine learning models using AWS. This practical experience can be a great talking point during interviews and shows your initiative and passion for the field.
✨Tip Number 4
Prepare to discuss your DevOps experience in detail, especially how it relates to MLOps. Be ready to share specific examples of how you've automated workflows or collaborated with teams, as this will highlight your suitability for the Junior MLOps Engineer position.
We think you need these skills to ace Junior MLOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your DevOps experience and any relevant MLOps skills. Focus on projects where you've used Docker, Kubernetes, or AWS, and mention any specific tools like Terraform that you've worked with.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in DevOps aligns with the responsibilities of a Junior MLOps Engineer and your eagerness to learn and grow in this field.
Showcase Relevant Projects: If you have worked on any projects involving machine learning workflows, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project to demonstrate your hands-on experience.
Highlight Soft Skills: Aveni values collaboration and innovation, so don't forget to mention your teamwork and communication skills. Provide examples of how you've successfully collaborated with engineers or data scientists in past roles.
How to prepare for a job interview at Aveni UK
✨Showcase Your DevOps Experience
Make sure to highlight your previous DevOps roles and how they relate to MLOps. Discuss specific projects where you automated workflows or deployed applications, especially using tools like AWS, Docker, or Kubernetes.
✨Demonstrate Your Scripting Skills
Be prepared to discuss your proficiency in scripting languages such as Python or Bash. You might even be asked to solve a coding problem during the interview, so brush up on your skills and be ready to showcase your knowledge.
✨Familiarise Yourself with ML Tools
Research and understand the machine learning lifecycle tools mentioned in the job description, such as KServe or Triton. Being able to discuss these tools and their applications will show your enthusiasm and readiness for the role.
✨Prepare Questions About the Company
Have insightful questions ready about Aveni's approach to MLOps and their use of AI in financial services. This not only shows your interest in the company but also helps you gauge if it's the right fit for you.
