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- Tasks: Design and build tools for validating ML data pipelines and develop automation frameworks.
- Company: Leading technology firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for mentorship.
- Why this job: Join a cutting-edge team and make an impact in the world of machine learning.
- Qualifications: 8+ years of software development experience, expertise in Python and AWS.
- Other info: Great opportunity for career growth and mentoring junior engineers.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in Greater London seeks an experienced Software Engineer to design and build tools for validating ML data pipelines. Applicants should have over 8 years of software development experience with a focus on Python and AWS services.
Responsibilities include:
- Developing automation frameworks
- Mentoring junior engineers
A bachelor’s or master’s degree in computer science or engineering is required. This role offers a chance to work in a dynamic environment with scalable and resilient platforms.
Senior ML Platform Test Engineer & Automation Lead employer: alphayotta
Contact Detail:
alphayotta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Test Engineer & Automation Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to ML and automation, make sure to highlight that. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and AWS knowledge. We all know technical interviews can be tough, so practice coding challenges and system design questions to feel confident.
✨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 seeing candidates who take that extra step!
We think you need these skills to ace Senior ML Platform Test Engineer & Automation Lead
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years of software development experience, especially with Python and AWS. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and responsibilities mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at alphayotta
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills. Be ready to discuss specific projects where you've used these technologies, especially in relation to ML data pipelines. The more detailed you can be about your experience, the better!
✨Showcase Your Automation Skills
Prepare examples of automation frameworks you've developed. Talk about the challenges you faced and how you overcame them. This will demonstrate your problem-solving abilities and your hands-on experience, which is crucial for this role.
✨Mentorship Matters
Since mentoring junior engineers is part of the job, think of instances where you've guided others. Share your approach to mentoring and how it has positively impacted your team. This shows that you're not just a tech whiz but also a team player.
✨Cultural Fit is Key
Research the company culture and values. Be prepared to discuss how your personal values align with theirs. Showing that you understand and appreciate their work environment can set you apart from other candidates.