Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead engineering projects to enhance ad fraud detection using machine learning and big data.
- Company: Fast-growing UK-based SaaS scale-up focused on digital advertising solutions.
- Benefits: Competitive salary, hybrid working, and impactful projects in a dynamic environment.
- Why this job: Join a mission-driven team and shape the future of ad tech with cutting-edge technology.
- Qualifications: 5+ years of Python experience, strong problem-solving skills, and familiarity with ad platforms.
- Other info: Opportunity for rapid career growth in a high-autonomy setting.
The predicted salary is between 80000 - 110000 £ per year.
Overview
This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioural analytics, they help agencies and large advertisers improve ROI and reduce waste—while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment.
The Role
Staff Engineer, London or Manchester, £80,000 - £110,000.
Responsibilities
- Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines.
- Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems.
- Own technical design, write high-quality code, and drive innovation (not a people management role).
Skills And Experience
- 5+ years of Python engineering experience, with a focus on big data, ML, or adtech.
- Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write it daily).
- Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure).
- Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus.
- A computer science/STEM degree is preferred, but strong self-taught candidates will be considered.
- Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key.
Benefits
- £80,000–£110,000 salary (depending on location and experience)
- Hybrid working policy: 2 days/week in-office (London/Manchester)
- High-impact work: Shape the future of ad fraud detection and optimization.
- Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data.
- Twice-weekly production deployments: See your work make an immediate difference.
How To Apply
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Staff Engineer - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at companies you admire. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to Python, ML, or big data. It’s a great way to demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Staff Engineer - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Engineer role. Highlight your Python experience, especially in big data and ML, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Showcase Your Collaboration Skills: Since this role involves working closely with Product and Data Science teams, it’s a good idea to include examples of how you’ve successfully collaborated in the past. We want to see how you solve complex problems together!
Highlight Your Technical Expertise: Don’t shy away from showcasing your technical skills! Make sure to mention your hands-on experience with AWS, large-scale datasets, and any familiarity with ad platforms. This will help us see how you fit into our tech stack.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially in the context of big data and machine learning. Be ready to discuss specific projects where you've improved traffic tracking or optimised data pipelines, as this will show your hands-on expertise.
✨Understand the Company’s Mission
Familiarise yourself with how the company protects advertisers’ digital spend. Knowing their approach to blocking invalid clicks and being cookieless will help you align your answers with their goals during the interview.
✨Prepare for Collaboration Questions
Since the role involves working closely with Product and Data Science teams, think of examples where you've successfully collaborated on complex problems. Highlight your ability to communicate technical concepts clearly to non-technical stakeholders.
✨Show Your Proactive Mindset
This company thrives in fast-paced environments, so be prepared to share instances where you've taken initiative. Discuss how you've driven innovation in your previous roles and how you adapt to changing priorities.
