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- Tasks: Lead hands-on development in machine learning and data analytics for a dynamic SaaS platform.
- Company: Exciting UK scale-up focused on innovative technology solutions.
- Benefits: Competitive salary, hybrid working policy, and opportunities to shape cutting-edge technology.
- Why this job: Join a team making a real impact in ad fraud detection with your engineering skills.
- Qualifications: 5+ years of engineering experience, strong Python skills, and cloud platform familiarity.
- Other info: Dynamic environment with great potential for career growth.
The predicted salary is between 80000 - 110000 £ per year.
A dynamic SaaS scale-up in the UK is seeking a Staff Engineer to lead technical development in their Platform Team. The role focuses on hands-on development and architecture related to machine learning and data analytics.
Candidates must have over 5 years of engineering experience with strong Python expertise and familiarity with large-scale datasets and cloud platforms.
The position offers a salary of £80,000–£110,000 and a hybrid working policy, making it an exciting opportunity to shape ad fraud detection technology.
Staff Engineer – Real-Time ML & Big Data Platform in Birmingham employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer – Real-Time ML & Big Data Platform in Birmingham
✨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 related to machine learning and big data. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding cloud platforms. Practice coding challenges and be ready to discuss your past experiences with large-scale datasets.
✨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, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Staff Engineer – Real-Time ML & Big Data Platform in Birmingham
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially with large-scale datasets. Don't hold back on the details!
Talk About Your Experience: With over 5 years of engineering experience, we’re keen to hear about your journey. Share specific examples of your hands-on development and architecture work, particularly in machine learning and data analytics.
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with our needs in ad fraud detection technology and why you're excited about joining our Platform Team.
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 important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with large-scale datasets. Prepare to explain how you've used these technologies in past projects, especially in relation to machine learning and data analytics.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think about how you can demonstrate your approach to solving complex problems, particularly in the context of ad fraud detection technology. Use real examples from your previous work to illustrate your thought process.
✨Understand the Company’s Vision
Research the company’s mission and values, especially their focus on SaaS and real-time ML. This will help you align your answers with what they’re looking for and show that you’re genuinely interested in contributing to their goals.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the tech stack they use, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
