At a Glance
- Tasks: Automate ML workflows, deploy LLMs, and maintain models in a collaborative environment.
- Company: Aveni is an award-winning tech company revolutionising financial services with advanced AI solutions.
- Benefits: Enjoy 34 days holiday, remote work options, skills development, and share options.
- Why this job: Join a diverse team driving innovation in financial services through cutting-edge technology.
- Qualifications: Degree in Computer Science or related field; DevOps/MLOps experience preferred.
- Other info: We value diversity and encourage all to apply, even if you don't meet every requirement.
The predicted salary is between 28800 - 48000 Β£ per year.
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 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, weβd love to hear from you!
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. Weβre 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 β 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 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
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 β we believe in shared success
- Skills development β continuous learning is at our core, expect the development to be front and centre of everything you do
- Remote and flexible working β 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 weβd like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!
Junior MLOps Engineer employer: Aveni
Contact Detail:
Aveni Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Junior MLOps Engineer
β¨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 to tackle the challenges of the role.
β¨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.
β¨Tip Number 3
Showcase any personal projects or contributions to open-source initiatives related to MLOps. This practical experience can set you apart from other candidates and highlight your passion for the field, making you a more attractive prospect for us.
β¨Tip Number 4
Prepare to discuss how you would approach automating machine learning workflows and deploying models in production. Being able to articulate your thought process and problem-solving skills during an interview can significantly increase your chances of landing the job.
We think you need these skills to ace Junior MLOps Engineer
Some tips for your application π«‘
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, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for MLOps and how your background in DevOps makes you a great fit. Mention specific technologies from the job description that you have experience with.
Showcase Relevant Projects: If you've worked on any machine learning projects, especially those involving LLMs, be sure to include them in your application. Describe your role and the impact of your contributions.
Highlight Continuous Learning: Mention any courses, certifications, or self-study you've undertaken related to MLOps or machine learning. This shows your commitment to growing in this field and aligns with Aveni's focus on skills development.
How to prepare for a job interview at Aveni
β¨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.
β¨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 ability to write clean, efficient code.
β¨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.
β¨Prepare Questions About Company Culture
Aveni values diversity and innovation, so prepare thoughtful questions about their team dynamics and collaborative practices. This not only shows your interest in the company but also helps you assess if itβs the right fit for you.