Senior Python Engineer

Harnham
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 82K

Job location

Tech stack

API
Google AdWords
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Data Systems
Python
Operational Databases
Backend
Data Management
Data Pipelines

Job description

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.

Requirements

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 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 & conditions

  • 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

About 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.

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