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- Tasks: Design and deploy cutting-edge ML models for personalised advertising and customer analytics.
- Company: Join QiH, a fast-growing scale-up in London, focused on tech transformation and innovative solutions.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, private healthcare, and regular team events.
- Why this job: Be part of a dynamic team tackling exciting challenges with real-world impact in marketing technology.
- Qualifications: 5+ years in machine learning, strong Python skills, and experience with GCP services required.
- Other info: Mentorship opportunities and a culture that values collaboration and continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
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Direct message the job poster from QiH Group
QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way!
Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual.
The Role
We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team.
You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies.
Working closely with BI, data engineers, and product teams, you\’ll build scalable solutions that drive measurable business outcomes for some of the world\’s most recognised brands.
Our infrastructure is powered by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges.
Key Responsibilities:
- Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization.
- Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub.
- Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions.
- Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech.
- Monitor, troubleshoot, and continuously improve model performance in production environments.
- Mentor junior engineers and promote best practices in model development, code quality, and cloud infrastructure usage.
- Contribute to the evolution of our ML Ops processes including continuous training, automated evaluation, and scalable deployment frameworks.
- Maintain high standards for documentation, security, and model explainability in compliance with industry regulations (GDPR, CCPA, etc.).
- Participate in architecture design sessions and provide input into strategic decisions regarding AI/ML tooling and GCP adoption.
About You:
- Experience: 5+ years of experience in machine learning engineering, preferably in Ad Tech, Mar Tech, or related high-scale environments.
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of supervised, unsupervised, and reinforcement learning methods.
- Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc.
- Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing.
- ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring.
- Business Acumen: Ability to understand marketing and advertising concepts like customer lifetime value (CLV), attribution modeling, real-time bidding (RTB), and audience targeting.
- Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes).
- You thrive when working as part of a team
- Comfortable in a fast-paced environment
- Have excellent written and verbal English skills
- Last but not least, you’ll have no ego!
What You’ll Get:
- Competitive Basic Salary
- Quarterly Bonuses
- Private Health Care (Bupa)
- Market Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki)
- Regular Happy Hour / Team Lunches
- Free Coffee, Drinks & Snacks
What’s the next step?
Our hiring process ensures we\’re recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.
If you like the sound of what we\’re all about at QiH and want to join a team where you can make an impact, please apply or contact us at careers@qih-group.com.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Advertising
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Industries
Advertising Services
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Senior Machine Learning Engineer employer: QiH Group
Contact Detail:
QiH Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the specific GCP services mentioned in the job description, such as Vertex AI and BigQuery. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have in Ad Tech or Mar Tech environments. Be prepared to discuss how your previous work has directly contributed to measurable business outcomes, as this aligns closely with QiH's focus on driving results.
✨Tip Number 3
Showcase your collaborative skills by preparing examples of how you've worked cross-functionally with data engineers and product teams. QiH values teamwork, so demonstrating your ability to communicate effectively in a team setting will be beneficial.
✨Tip Number 4
Stay updated on the latest trends in machine learning, especially in areas like deep learning and reinforcement learning. Being able to discuss recent advancements and how they could apply to QiH's challenges will demonstrate your passion and expertise in the field.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning engineering, particularly in Ad Tech or Mar Tech. Emphasise your proficiency in Python and ML frameworks, as well as your experience with GCP services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and how your skills align with QiH's mission. Mention specific projects or achievements that demonstrate your ability to design and deploy scalable ML models.
Showcase Your Technical Skills: In your application, include examples of your work with ML pipelines, CI/CD processes, and any relevant tools like Apache Airflow or Kubernetes. This will help illustrate your hands-on experience and technical expertise.
Highlight Team Collaboration: Since the role involves working closely with cross-functional teams, mention any past experiences where you collaborated with data engineers, product teams, or other stakeholders to achieve business objectives through ML solutions.
How to prepare for a job interview at QiH Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you've designed and deployed ML models, especially in Ad Tech or Mar Tech environments.
✨Understand the Business Context
Familiarise yourself with marketing concepts such as customer lifetime value and real-time bidding. Demonstrating your understanding of how ML can drive business outcomes will impress the interviewers.
✨Collaborate and Communicate
Since the role involves working closely with cross-functional teams, be ready to discuss how you’ve successfully collaborated with data engineers and product teams in the past. Good communication skills are key!
✨Prepare for Problem-Solving Questions
Expect to tackle technical challenges during the interview. Brush up on your knowledge of distributed systems and data processing, and be ready to explain your thought process when solving complex problems.
