At a Glance
- Tasks: Build cutting-edge ML infrastructure and manage AWS environments.
- Company: Join a top fintech team with an unlimited tech budget.
- Benefits: Enjoy strong growth potential and future management opportunities.
- Other info: Great culture with significant ownership of greenfield projects.
- Why this job: Make a real impact on innovative projects in a dynamic environment.
- Qualifications: Experience in Python and CI/CD; ML experience is a plus.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Our fintech client is seeking a talented Software Engineer with MLOps experience to join a well-regarded, cutting-edge team. This team benefits from an unlimited tech budget and fosters a great culture, offering significant ownership of multiple greenfield projects without excessive red tape. The role promises strong growth potential and the possibility of future management opportunities.
Key Responsibilities
- Building out cutting-edge ML Infrastructure utilized by ML Engineers at an unparalleled scale.
- Setting up and managing the AWS environment.
- Developing production-grade infrastructure platforms for containerization, deployment, and monitoring of ML Models.
- Collaborating closely with ML Engineers to deliver robust solutions.
Skills and Experience Required
- Strong exposure to Python.
- A proven track record of leading other engineers.
- Good knowledge of CI/CD is a significant advantage.
- Experience working within the ML space is a massive advantage.
- A Computer Science Degree from a top university.
MLOps Software Engineer employer: Hunter Bond
Our fintech client is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to take ownership of exciting greenfield projects. With an unlimited tech budget and a strong emphasis on collaboration, the company fosters a culture of growth and development, providing ample opportunities for career advancement and future management roles in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Software Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and MLOps space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving AWS and CI/CD. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. Practice coding challenges and system design questions that are relevant to MLOps. The more prepared you are, the more confident you'll feel during the interview!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace MLOps Software Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your MLOps experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Use keywords from the posting to show us you’re a perfect fit for our cutting-edge team.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see your qualifications.
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 don’t miss out on any updates!
How to prepare for a job interview at Hunter Bond
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge before the interview. Be ready to discuss your experience with building ML infrastructure and how you've collaborated with ML Engineers in the past. Highlight specific projects where you’ve made a significant impact.
✨Show Off Your Python Skills
Since strong exposure to Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data structures in Python to ensure you're sharp.
✨Familiarise Yourself with AWS
As managing the AWS environment is part of the role, make sure you know your way around it. Be prepared to discuss your experience with AWS services relevant to MLOps, such as S3, EC2, and Lambda. If you have any certifications, don’t forget to mention them!
✨Emphasise Leadership Experience
If you have a proven track record of leading other engineers, this is your time to shine! Share examples of how you've guided teams, resolved conflicts, or mentored junior engineers. This will show that you’re not just technically skilled but also a great team player.
