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- Tasks: Lead technical development and innovate in ad fraud detection using machine learning.
- Company: Fast-growing UK-based SaaS scale-up focused on digital advertising.
- Benefits: Competitive salary, hybrid work model, and impactful projects.
- Why this job: Shape the future of ad tech while working with cutting-edge technologies.
- Qualifications: 5+ years Python experience, big data expertise, and a proactive mindset.
- Other info: Join a dynamic team with opportunities for rapid career growth.
The predicted salary is between 64000 - 88000 £ per year.
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—all 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.
As a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation.
Specifically, you can expect to be involved in the following:
- 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.
The successful Staff Engineer will have the following 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.
The successful Staff Engineer will receive the following 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.
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Staff Engineer in Birmingham employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python and ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design. Practice common algorithms and data structures, and don’t forget to review big data concepts!
✨Tip Number 4
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 Staff Engineer in Birmingham
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.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about adtech and how your background makes you a perfect fit for our team. Keep it concise but engaging!
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on expertise with large-scale datasets and any experience with AWS or ad platforms. We want to see how you can contribute to our mission right from the start!
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 get all the updates directly from us. Don’t miss out on this opportunity!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially in big data and machine learning. Be ready to discuss specific projects you've worked on, particularly those involving large datasets or cloud platforms like AWS. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved in previous roles. Think of examples where you improved processes or optimised systems, especially in a fast-paced environment. This will demonstrate your ability to thrive in the dynamic setting of a scale-up.
✨Understand the Company’s Mission
Familiarise yourself with the company's mission to protect advertisers' digital spend. Being able to articulate how your skills can contribute to this goal will set you apart. It shows that you’re not just looking for any job, but are genuinely interested in their work.
✨Be Ready for Technical Questions
Expect technical questions that test your knowledge of ML models and data pipelines. Practice explaining your thought process clearly and concisely. This is your chance to shine as a technical leader, so don’t hold back on showcasing your expertise!
