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.
- Benefits: Enjoy remote work, 34 days holiday, and flexible benefits tailored to you.
- Why this job: Make a real impact in the AI space while growing your MLOps skills.
- Qualifications: Experience in DevOps or MLOps, with skills in AWS, Docker, and Kubernetes.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ 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 are looking for a motivated Senior 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 would 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
Requirements:
- Degree in Computer Science, Engineering, Data Science or similar
What We Offer:
- Remote-first working across the UK.
- Work abroad policy for when you want a change of scenery.
- Co-working spaces available if you want an office buzz sometimes.
- 34 days holiday (including flexible bank holidays) and your birthday off.
- Company-wide off-sites (yes, karaoke may happen).
- Optional Personal Development Plan.
- Flexible benefits platform: you choose the benefits that matter most to you (not the company).
- Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions).
- Private health- and dental care for your peace of mind.
- Potential share options, have a stake in what you’re building.
- Enhanced family leave.
Join Us in Making a Difference:
At Aveni, we believe that diversity drives innovation. We are 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 are 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 would love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we would like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!
Senior DevOps Engineer in Coventry employer: Aveni
Contact Detail:
Aveni Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DevOps Engineer in Coventry
✨Tip Number 1
Network like a pro! Reach out to current employees at Aveni on LinkedIn or other platforms. Ask them about their experiences and share your passion for DevOps and AI. This can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Docker, and Kubernetes. Having tangible examples of your work can really impress during interviews and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your scripting skills in Python or Bash. Practice common DevOps scenarios and be ready to discuss how you've automated workflows or deployed models in the past. Confidence is key!
✨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, it shows you’re genuinely interested in joining Aveni and being part of our mission.
We think you need these skills to ace Senior DevOps Engineer in Coventry
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 that you're a perfect fit for the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI in financial services and explain why you want to work with us at Aveni. Be genuine and let your personality come through.
Showcase Relevant Projects: If you've worked on projects involving AWS, Docker, or Kubernetes, make sure to mention them. Highlight any experience with machine learning workflows or APIs to demonstrate your hands-on skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process quickly. Don’t hesitate – we can’t wait to hear from you!
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, 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 Knowledge
Since this role focuses on deploying machine learning models, be prepared to discuss your experience with ML lifecycle tools and model monitoring. If you've worked with tools like KServe or Triton, make sure to highlight that experience!
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world scenarios, such as automating ML workflows or troubleshooting deployment issues. Think of examples from your past work where you successfully navigated similar challenges.
✨Cultural Fit Matters
Aveni values diversity and innovation, so be ready to discuss how you can contribute to their inclusive culture. Share your passion for leveraging technology in financial services and how you align with their mission to drive positive change.