lead data scientist Work, Jobs in eltham, gtl (with Salaries)

AI Software Engineer
LiveRamp —London
- Full-time
- Computer Science
- Engineering
- Java
Lead Data Scientist - FinCrime
Data Idols —London
- £95,000 - £120,000 a year
- Hybrid work
- Analysis skills
- Financial services
Lead Data Scientist
Data Idols —London
- £85,000 - £95,000 a year
- Machine learning
- Python
3d
Lead Data Scientist
Monzo —London
- £95,000 - £130,000 a year
- Part-time
- Remote
- Flexible schedule
Lead Data Scientist - Marketing
Wise Australia Investments —London
- £90,500 - £127,000 a year
Staff Data Scientist - Fraud
Wise Australia Investments —London
- £115,000 - £150,000 a year
- Machine learning
Lead Data Scientist - Fraud Prevention
Wise Australia Investments —London
- £96,000 - £127,000 a year
- Java
- Presentation skills
- Machine learning
Lead Data Scientist — Global Football Metrics
Hudl —London
- £76,000 - £127,000 a year
- Remote
- Machine learning
- Python
- Annual leave
- Employee assistance programme
Staff Data Scientist
Data Idols —London
- £120,000 - £140,000 a year
- SQL
- Communication skills
- Python
Senior Data Scientist, Payment Intelligence
GoCardless —London
- £99,200 - £148,800 a year
- Doctoral degree
- SQL
- Leadership
Lead Data Scientist
Day30 —London
- Up to £95,000 a year
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
- Annual leave
Quick apply
1d
Lead Data Scientist
Hiscox —London
- Full-time
- Management
- Master's degree
- SQL
Senior Data Scientist, Fraud Prevention
GoCardless —London
- £99,200 - £148,800 a year
- Doctoral degree
- SQL
- Machine learning
Lead Data Scientist - Contact Automation
Wise Australia Investments —London
- £96,000 - £127,000 a year
- Java
- Master's degree
- SQL
Data Scientist
British Transport Police —London
- £55,310.87 a year
- Full-time
- SQL
- Machine learning
- AI
- Annual leave
- Gym membership
Quick apply
8d
Data Scientist, revenue
Heidi —London
- £90,000 - £100,000 a year
- Hybrid work
- SQL
- Presentation skills
- Driving
- Work from home
Lead Data Scientist
Informed Solutions —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
Quick apply
Lead Data Scientist
Faculty —London
- Full-time
- Hybrid work
- Project management
- Machine learning
- Travel
- Annual leave
Senior Associate Data Scientist - Rev Ops
SAS —London
- Hybrid work
- Bachelor's degree
- IT
- No travel
Lead Data Scientist
AWTG —London
- Machine learning
- Mentoring
- AI

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AI Software Engineer

LiveRamp -
London

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Go
Computer Science
PyTorch
Engineering
Spark
Git
Java
SQL
Docker
Bachelor's degree
Machine learning
Distributed systems
REST
Software development
APIs
Kafka
AI
gRPC
TypeScript
Python

Full job description

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.

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 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. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

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.

Apply Now

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lead data scientist jobs in eltham, gtl

AI Software Engineer

Lead Data Scientist - FinCrime