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- Tasks: Automate ML workflows and deploy cutting-edge models in production environments.
- Company: Aveni, a leader in AI for financial services, fostering innovation and collaboration.
- Benefits: 34 days holiday, share options, remote work, and continuous learning opportunities.
- Why this job: Join us to shape the future of finance with impactful AI solutions.
- Qualifications: Experience in DevOps or MLOps, with skills in AWS, Docker, and Kubernetes.
- Other info: Diverse and inclusive workplace committed to your growth and wellbeing.
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 are 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 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:
- 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 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 is 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!
DevOps Engineer in Hull employer: Aveni
Contact Detail:
Aveni Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer in Hull
✨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 gives potential employers a taste of what you can do and sets 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 eager to join our mission!
We think you need these skills to ace DevOps Engineer in Hull
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the DevOps Engineer role. Highlight your experience with AWS, Docker, Kubernetes, and any MLOps projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working with machine learning models and how your background aligns with our goals at Aveni. Let us know what makes you tick!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical examples of your skills, especially in automating ML workflows or deploying LLMs.
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 us you’re keen to join our team at Aveni!
How to prepare for a job interview at Aveni
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like AWS, Docker, and Kubernetes. Brush up on your Terraform skills too! Being able to discuss how you've used these technologies in past projects will show that you're ready to hit the ground running.
✨Showcase Your MLOps Knowledge
Since this role involves deploying machine learning models, be prepared to talk about your experience with MLOps. Discuss any workflows you've automated or ML pipelines you've supported. If you’ve worked with model monitoring tools, definitely highlight that!
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in simple terms, especially around CI/CD processes and API development. You might even want to do a mock interview with a friend to get comfortable with articulating your thoughts.
✨Cultural Fit Matters
Aveni values diversity and collaboration, so be ready to discuss how you work in teams. Share examples of how you've contributed to a positive team environment or tackled challenges together. This will help demonstrate that you align with their company culture.
