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For Companies At a Glance
- Tasks: Automate ML workflows and deploy cutting-edge models in production environments.
- Company: Join Aveni, a leader in AI for financial services with a collaborative culture.
- Benefits: 34 days holiday, share options, remote work, and continuous learning opportunities.
- Why this job: Make a real impact in the financial sector using innovative AI technologies.
- Qualifications: Experience in DevOps or MLOps, with skills in Docker, Kubernetes, and Python.
- Other info: Diverse and inclusive workplace focused on innovation and career growth.
The predicted salary is between 28800 - 48000 £ per year.
Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)?
Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations.
We\’re looking for a motivated DevOps Engineer, 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!
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 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 – 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!
DevOps Engineer employer: Aveni
Contact Detail:
Aveni Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Docker, and Kubernetes. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your scripting skills and understanding the ML lifecycle. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in past roles.
✨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 who are eager to make a difference in financial services.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your DevOps experience and any MLOps skills you have. Use keywords from the job description to show we’re on the same page!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you’re excited about working with us at Aveni and how your skills can help us deploy those cutting-edge machine learning models.
Showcase Relevant Projects: If you've worked on projects involving AWS, Docker, or Kubernetes, don’t hold back! Include these in your application to demonstrate your hands-on experience and passion for the field.
Apply Through Our Website: We want to hear from you directly! Applying through our website ensures your application gets to the right people quickly, so don’t hesitate – hit that apply button!
How to prepare for a job interview at Aveni
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Docker, and Kubernetes. Brush up on your Terraform skills too, as they’ll likely ask you about infrastructure as code during the interview.
✨Showcase Your MLOps Knowledge
Since this role focuses on deploying machine learning models, be prepared to discuss your experience with ML workflows. Highlight any projects where you've automated processes or monitored model performance, as this will show your hands-on experience in MLOps.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your problem-solving skills. Think about challenges you've faced in previous roles, especially related to CI/CD pipelines or model deployment, and how you overcame them. This will demonstrate your practical knowledge and critical thinking.
✨Cultural Fit Matters
Aveni values diversity and collaboration, so be ready to discuss how you work in teams and contribute to an inclusive environment. Share examples of how you've collaborated with engineers and data scientists in the past, as this will resonate well with their company culture.
