At a Glance
- Tasks: Lead the design and development of machine learning models for digital advertising.
- Company: A top digital advertising firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a significant impact in the exciting world of AdTech and big data.
- Qualifications: 5+ years of Python experience and expertise in big data or adtech.
- Other info: Join a dynamic team and enjoy a flexible work environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital advertising firm is seeking a Staff Engineer to lead the technical design and development of machine learning models. This role involves hands-on development, optimizing big data pipelines, and closely collaborating with Product and Data Science teams to enhance their advertising solutions.
The ideal candidate will have over 5 years of Python experience and a strong background in big data or adtech. A hybrid working policy offers flexibility in the work environment, ensuring high-impact contributions in a dynamic setting.
Staff Engineer - ML, Big Data & AdTech (Hybrid) in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer - ML, Big Data & AdTech (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in big data and adtech. A friendly chat can open doors and give you insights that might just land you that Staff Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and big data projects. This hands-on evidence of your expertise will make you stand out when you’re chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and big data concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 are proactive about their job search!
We think you need these skills to ace Staff Engineer - ML, Big Data & AdTech (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and big data. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Staff Engineer position and how your background in ML and AdTech makes you a perfect fit for us.
Showcase Collaboration Skills: Since this role involves working closely with Product and Data Science teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork!
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!
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 big data and adtech. Prepare to explain how you've used these technologies in past projects, as this will show your hands-on development capabilities.
✨Showcase Collaboration Skills
Since the role involves working closely with Product and Data Science teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to enhancing solutions, as this will demonstrate your teamwork abilities.
✨Prepare for Technical Challenges
Expect some technical questions or coding challenges during the interview. Practice solving problems related to machine learning models and optimising data pipelines. This will help you feel more confident and showcase your problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects in ML and adtech, or how they measure success in their advertising solutions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.