At a Glance
- Tasks: Develop AI-driven backend services and data pipelines for intelligent monitoring.
- Company: Join LiveRamp, a leader in data collaboration and consumer privacy.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on diversity and inclusion.
- Why this job: Make an impact by building innovative AI solutions in a dynamic team.
- Qualifications: 1-2 years in software development with AI/ML experience; Python proficiency required.
The predicted salary is between 40000 - 50000 € per year.
LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
This will initially be a six month fixed term contract with the possibility of extension. The role requires two days in office attendance.
As an AI Software Engineer, you’ll help build the next generation of intelligent observability systems — combining backend engineering, data analytics, and applied AI to improve reliability, automation, and insight generation across LiveRamp’s large-scale data pipelines. You’ll collaborate with backend engineers, data scientists, and reliability leads to design and ship production-ready AI components that detect, explain, and even self-heal anomalies in distributed systems.
Key Responsibilities- Develop backend services and APIs integrating AI/ML components for intelligent monitoring and automated diagnostics.
- Build data pipelines for training, evaluation, and inference of anomaly-detection and root-cause-prediction models.
- Implement statistical and ML techniques to analyze metrics, logs, and traces — enabling proactive incident detection.
- Collaborate with engineers and analysts to translate data patterns into actionable system insights and reliability improvements.
- Contribute to internal dashboards or visualization tools that surface model predictions and performance metrics.
- Maintain CI/CD pipelines, testing suites, and lightweight model deployment workflows (Docker, MLflow, etc.).
- Continuously learn and apply the latest AI/ML and observability tools to production-scale systems.
- 1-2 years of experience in software development with exposure to AI/ML applications or data-driven systems.
- Proficiency in Python and familiarity with one or more of: Java, Go, or TypeScript.
- Experience using ML frameworks such as PyTorch, scikit-learn, or TensorFlow.
- Working knowledge of SQL and experience with large datasets (Spark, Snowflake, or similar).
- Familiarity with REST/gRPC API design, Docker, and Git workflows.
- Curious mindset — able to bridge the gap between software reliability and applied machine learning.
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related technical field.
- Experience with Observability platforms (Grafana, Prometheus, OpenTelemetry) or time-series data analysis.
- Exposure to MLOps pipelines (Airflow, MLflow, Kubeflow) and production inference scaling.
- Understanding of distributed data systems (Kafka, Spark, etc.).
- Prior experience building experimental prototypes or research-driven AI features.
- Multilingual or international experience — our team collaborates across U.S., EMEA, and APAC regions.
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
AI Software Engineer employer: LiveRamp
LiveRamp is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for AI Software Engineers to thrive. With a commitment to diversity and inclusion, employees are encouraged to bring their authentic selves to work while benefiting from continuous learning opportunities and the chance to work on cutting-edge projects in a vibrant London setting. The company also offers flexible working arrangements, ensuring a healthy work-life balance as you contribute to meaningful data solutions that impact global brands.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at LiveRamp on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the AI Software Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repository showcasing your work with AI/ML applications. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss your experience with Python, ML frameworks, and data pipelines. Confidence in your abilities will shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the LiveRamp team. Let’s get you that interview!
We think you need these skills to ace AI Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Software Engineer role. Highlight your experience with Python, AI/ML applications, and any relevant projects that showcase your skills in backend engineering and data analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at LiveRamp. Don’t forget to mention any collaborative projects you've worked on!
Showcase Your Projects:If you’ve worked on any interesting projects, especially those involving AI/ML or data-driven systems, make sure to include them. We love seeing practical examples of your work and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at LiveRamp
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and any ML frameworks like PyTorch or TensorFlow. Brush up on your knowledge of SQL and large datasets too, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using AI/ML techniques. Think about how you’ve implemented statistical methods or built data pipelines in past projects, and be ready to explain your thought process clearly.
✨Understand the Company’s Mission
Familiarise yourself with LiveRamp’s mission and values. Be prepared to discuss how your skills and experiences align with their focus on data ethics and consumer privacy. This shows that you’re not just interested in the role, but also in contributing to their overall goals.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the technologies they use, or the challenges they face in building observability systems. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.