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.
- Other info: Diverse and inclusive team culture with excellent growth opportunities.
- Why this job: Make a real impact in the AI revolution within finance.
- Qualifications: Experience in DevOps or MLOps, with skills in AWS, Docker, and Kubernetes.
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 Plymouth employer: Aveni
Contact Detail:
Aveni Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DevOps Engineer in Plymouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Aveni. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your DevOps projects, make sure to share it. Real-world examples of your work can speak volumes more than just words on a CV.
✨Tip Number 3
Prepare for the tech interview! Brush up on your knowledge of AWS, Docker, and Kubernetes. Be ready to discuss how you've tackled challenges in MLOps and how you can contribute to Aveni's mission.
✨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 want to make a difference in financial services.
We think you need these skills to ace Senior DevOps Engineer in Plymouth
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 cutting-edge machine learning models and how your background fits with our mission at Aveni.
Showcase Relevant Projects: If you've worked on projects involving AWS, Docker, or Kubernetes, don’t hold back! We want to see how you’ve tackled real-world challenges in your previous roles.
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 get the ball rolling on your journey with Aveni!
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 you might be asked to demonstrate your knowledge during the interview.
✨Showcase Your MLOps Experience
Be prepared to discuss your experience with machine learning workflows and how you've automated processes in previous roles. Highlight any specific projects where you deployed models in production environments, especially if they involved LLMs.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of CI/CD pipelines, model monitoring, and API development. Practise explaining complex concepts in simple terms, as you may need to collaborate with engineers and data scientists who might not have a DevOps background.
✨Demonstrate Your Passion for Financial Services
Aveni is looking for someone who is not just technically skilled but also passionate about the financial services sector. Be ready to share why you’re interested in this field and how you see technology transforming it, which will show your alignment with their mission.