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- Tasks: Develop and maintain large-scale data pipelines and backend systems using Python.
- Company: Fast-scaling SaaS company revolutionising digital advertising with machine learning.
- Benefits: Competitive salary, hybrid working, career growth, and a collaborative culture.
- Why this job: Make a real impact on digital advertising while working with cutting-edge technology.
- Qualifications: 3+ years of Python and backend development experience, familiarity with AI/ML systems.
- Other info: Join a dynamic team in a fast-paced environment with excellent work-life balance.
The predicted salary is between 65000 - 85000 £ per year.
You’re a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend.
THE COMPANY
This fast-scaling SaaS company is using machine learning to make digital advertising more transparent, efficient, and fraud-free redefining how advertisers protect and optimise their campaigns. Their machine learning platform detects and blocks invalid or low-value clicks across search, display, and social channels, empowering marketing teams with trusted data and higher ROI. Your work will directly support their mission to make digital advertising more transparent and impactful.
THE ROLE
As a Senior Python Engineer, you’ll play a key role in building and improving the core platform that powers the AI-driven traffic protection and analytics capabilities. You’ll work closely with the other teams to launch new models, enhance real-time tracking, and deliver high-performance backend solutions that process massive datasets. Specifically, you can expect to be involved in the following:
- Developing and maintaining large-scale data pipelines and backend systems in Python.
- Working with AI/ML datasets to help train and deploy new detection models.
- Building and improving integrations, and working on greenfield product developments.
- Collaborating with data science and applications teams to deliver features at scale.
- Working with real production data (billions of data points) in a fast-paced, high-impact environment.
- Deploying code to production with flexibility to shape and improve existing processes.
SKILLS AND EXPERIENCE
The successful Senior Python Engineer will have the following skills and experience:
- Strong Python (python frameworks), backend development experience (3+ years)
- Experience working with AI/ML or big data systems.
- Familiarity with AWS, Redshift, or other cloud data platforms (GCP/Azure also welcome).
- Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus.
- Ability to thrive in a fast-paced scale-up environment and collaborate across teams.
BENEFITS
The successful Senior Python Engineer will receive the following benefits:
- Salary: £65,000 – £85,000, depending on experience
- Hybrid working with 2 days in the London office
- Opportunity to work with cutting-edge ML and large-scale data systems
- Career growth in a rapidly scaling Series A company
- Collaborative, innovative engineering culture with high ownership
- Great work-life balance
HOW TO APPLY
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Senior Python Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those involving AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss how you've tackled complex data problems in the past. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with AI/ML datasets. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how you can contribute to our mission of making digital advertising more transparent. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: As a Senior Python Engineer, we love seeing how you tackle complex data challenges. Include examples in your application that demonstrate your problem-solving abilities and your impact on previous projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with Python frameworks and backend development, as well as any specific projects you've worked on that showcase your problem-solving abilities.
✨Familiarise Yourself with AI/ML Concepts
Since the role involves working with AI/ML datasets, it’s crucial to understand the basics of machine learning and how it applies to data processing. Be ready to talk about any relevant experience you have in this area and how you’ve used these technologies in past projects.
✨Showcase Your Collaboration Skills
This position requires working closely with other teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with data science or applications teams to deliver features at scale.
✨Understand the Company’s Mission
Research the company’s mission to make digital advertising more transparent and efficient. Be ready to discuss how your skills and experiences align with their goals, and think about how you can contribute to their mission as a Senior Python Engineer.
