At a Glance
- Tasks: Build intelligent observability systems using AI/ML to enhance data reliability and insights.
- Company: Join LiveRamp, a leader in data collaboration and consumer privacy.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with global collaboration and career advancement potential.
- Why this job: Make an impact by developing cutting-edge technology that transforms data analytics.
- 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.
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.
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.
AI Software Engineer employer: C0050 LiveRamp UK Limited
LiveRamp is an exceptional employer that champions innovation and collaboration in the heart of San Francisco. With a strong commitment to employee growth, we offer a dynamic work culture that encourages continuous learning and the application of cutting-edge AI technologies. Our flexible working arrangements and focus on data ethics ensure that you will be part of a team that not only values your contributions but also prioritises your professional development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your 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 showcasing your projects, especially those involving AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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. Plus, we love seeing candidates who are proactive about their job search.
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 development 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 LiveRamp's mission. Don’t forget to mention any experience you have with observability tools or data-driven systems.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving AI/ML or data pipelines, make sure to include them. We love seeing practical examples of your work that demonstrate your problem-solving skills and technical expertise.
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 serious about joining our team!
How to prepare for a job interview at C0050 LiveRamp UK Limited
✨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 SQL skills too, as you'll likely be asked about handling large datasets.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've used AI/ML techniques to solve real-world problems. Think about how you’ve built data pipelines or implemented statistical methods in past projects—this will demonstrate your practical experience.
✨Understand the Company’s Mission
Familiarise yourself with LiveRamp’s focus on consumer privacy and data ethics. Be ready to discuss how your values align with theirs and how you can contribute to their mission of building a connected customer view.
✨Ask Insightful Questions
Prepare thoughtful questions that show your curiosity about the role and the company. Inquire about their observability platforms or how they approach MLOps pipelines. This not only shows your interest but also helps you gauge if the company is the right fit for you.
