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For Companies At a Glance
- Tasks: Automate ML workflows and deploy cutting-edge models in production environments.
- Company: Join Aveni, an award-winning tech company revolutionising financial services with AI.
- Benefits: 34 days holiday, share options, remote work, and continuous learning opportunities.
- Why this job: Dive into MLOps and make a real impact in the financial sector with innovative technology.
- Qualifications: Experience in DevOps or MLOps, with skills in Docker, Kubernetes, and Python.
- Other info: Inclusive workplace committed to diversity and excellent career growth.
The predicted salary is between 30000 - 42000 £ per year.
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
- 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!
Junior MLOps Engineer in Edinburgh employer: Aveni UK
Contact Detail:
Aveni UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior MLOps Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps and DevOps communities on LinkedIn or at local meetups. You never know who might have a lead on that perfect Junior MLOps Engineer role!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving Docker, Kubernetes, or any ML workflows. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AWS, Terraform, and CI/CD processes. Practice explaining your past experiences and how they relate to the MLOps role we’re offering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates eager to join our mission!
We think you need these skills to ace Junior MLOps Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your DevOps experience and any relevant MLOps skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your hands-on experience with tools like Docker and Kubernetes!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for MLOps and how you can contribute to our mission at Aveni. Be genuine and let us know why you’re excited about this opportunity.
Showcase Your Projects: If you've worked on any projects related to machine learning or DevOps, make sure to mention them! We love seeing practical examples of your skills in action, especially if they involve AWS or CI/CD pipelines.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Aveni UK
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like Docker, Kubernetes, and Terraform. Brush up on your scripting skills in Python or Bash, as these will likely come up during technical discussions.
✨Showcase Your MLOps Passion
Express your enthusiasm for MLOps and how it relates to financial services. Share any personal projects or experiences that demonstrate your interest in deploying machine learning models, especially Large Language Models (LLMs).
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to explain how you would automate ML workflows or monitor model performance. Think through real-world examples from your past experience that highlight your problem-solving skills.
✨Ask Insightful Questions
Prepare thoughtful questions about Aveni’s approach to MLOps and their use of AI in financial services. This shows your genuine interest in the company and helps you understand if it’s the right fit for you.
