At a Glance
- Tasks: Build intelligent observability systems using AI/ML and backend engineering.
- 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 excellent career advancement potential.
- Why this job: Make an impact by enhancing data reliability and automation with cutting-edge technology.
- Qualifications: 1-2 years in software development, proficiency in Python, and familiarity with AI/ML.
The predicted salary is between 40000 - 55000 £ 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 in London 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 work arrangements and focus on data ethics ensure that you will be part of a team that values both professional development and the integrity of consumer trust.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer in London
✨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 or GitHub repository showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do.
✨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.
✨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 in London
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. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Keep it concise but engaging—show us your personality!
Showcase Your Projects:If you've worked on any cool projects related to AI or data analytics, make sure to mention them! We love seeing practical applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us 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 knowledge of SQL and large datasets too, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, particularly those involving AI/ML applications or data-driven systems. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Mission
Familiarise yourself with LiveRamp’s focus on consumer privacy and data ethics. Being able to articulate how your values align with theirs can set you apart. Think about how your work as an AI Software Engineer can contribute to their mission of building a connected customer view.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, the team dynamics, or how they approach compliance and privacy in their data practices. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
