At a Glance
- Tasks: Build cutting-edge ML infrastructure and manage AWS environments for innovative projects.
- Company: Join a leading fintech firm with a dynamic and supportive culture.
- Benefits: Enjoy an unlimited tech budget, competitive salary, and strong growth potential.
- Other info: Great opportunities for career advancement and future management roles.
- Why this job: Make a real impact in the ML space while owning exciting greenfield projects.
- Qualifications: Strong Python skills and experience in ML; leadership 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 in London 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 in London
✨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 Python and AWS. This will give potential employers a taste of what you can bring to their team and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common MLOps interview questions and think about how you can demonstrate your leadership experience. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace MLOps Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights 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 be shy about showcasing your Python prowess and CI/CD knowledge!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our cutting-edge team. Let us know about your passion for ML and any leadership experiences you've had.
Showcase Your Projects:If you've worked on any greenfield projects or have experience with AWS environments, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 this exciting opportunity. Plus, it makes the process smoother for everyone!
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 managing AWS environments. Highlight specific projects where you've successfully implemented these technologies.
✨Showcase 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 feel confident.
✨Emphasise Collaboration
This role involves working closely with ML Engineers, so be prepared to talk about your teamwork experiences. Share examples of how you've collaborated on projects, resolved conflicts, or led a team to success. This will show that you can thrive in their culture.
✨Prepare for CI/CD Questions
Good knowledge of CI/CD is a significant advantage, so make sure you understand the principles and tools involved. Be ready to discuss how you've implemented CI/CD pipelines in past projects and the impact it had on deployment efficiency.
