AI Software Engineer
LiveRamp·London·United Kingdom·Machine Learning Engineering
LiveRamp is hiring a AI Software Engineer in London. Posted 2026-05-15; applications close 2026-07-14.
Role details
About LiveRamp
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 sets the standard for building a connected customer view with clarity and context while protecting brand and consumer trust. LiveRamp offers flexibility to collaborate wherever data lives to support a wide 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 evolving compliance and privacy requirements.
This role will initially be a six-month fixed-term contract with the possibility of extension. The role requires two days in the office.
Role Overview
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.
Qualifications
- 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.
Bonus Points
- 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.
More about us
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 that individuals perform best when they feel they belong. Learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp here.
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.
Applying to this role
This AI Software Engineer role at LiveRamp runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
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Jorb AI tracks details for AI Software Engineer at LiveRamp. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-05-20.
