End date Monday 02 March 2026
Salary range £72,702 - £80,780
We’re rebooting an icon and building the future of finance. Find out why you should join us.
Agile Working Options Job Share; Hybrid Working
Job Title
Senior Machine Learning Engineer – ML Models Economic Crime Intelligence
Location
Leeds
Hours
Full-time
Working Pattern
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at the above office location
About This Opportunity
Join our team if you have an appetite for innovation that leads to incredible impact! In the Economic Crime Intelligence Lab within our Economic Crime Prevention (ECP) Platform Team, our mission is to reduce harm to our communities by enhancing Lloyds Banking Group's capability to prevent, detect and respond to economic crime. The Platform sits within Consumer Relationships and plays a critical role in providing services across the whole Group.
We’re looking to recruit a Senior Machine Learning Engineer to lead on the delivery of sophisticated methods to a wide range of Economic Crime Prevention (ECP) use cases including natural language processing, generative Artificial Intelligence (AI) and graph-based Machine Learning (ML).
We are seeking a candidate with economic crime intelligence skills and a passion for using AI to protect our customers’ tens of millions of transactions per day.
Day to day
* Designing and deploying impactful, maintainable, and robust Machine Learning solutions into production at scale.
* Working hand‑in‑hand with Data Scientists, fostering a test‑and‑validate mindset to ensure models are reliable and performant.
* Collaborating with platform teams to leverage and prioritise new functionality that accelerates delivery.
* Solutionising deployments for diverse models on a use‑case‑by‑use‑case basis, ensuring flexibility and efficiency.
* Championing reproducibility by enforcing version control for data, models, and experiments.
What You’ll Need
* Hands‑on Machine Learning experience in an industry setting.
* An MLOps mindset, striving to make every step of the ML lifecycle maintainable, automated, and robust.
* Strong Software Engineering and Data Engineering foundations, with a working understanding of Batch vs Streaming systems and deploying ML as a service via REST/RPC.
* Cloud experience on at least one provider (GCP, AWS, Azure) and the ability to integrate services into cohesive systems.
* Experience with DAG‑based ML orchestration tools (e.g., Kubeflow).
* Proven ability to automate repetitive tasks such as data validation and model monitoring.
* Leadership skills grounded in empathy, clarity, and challenge—helping your team to be their best.
* Excellent communication skills, with the ability to adapt style for different audiences.
It would be great if you had
* Hands‑on experience with GCP, especially Vertex AI and BigQuery.
* Experience with Tb scale data.
* Experience deploying deep learning models (PyTorch/TensorFlow) into production.
* Exposure to Graph ML or Seq Modeling.
About Working For Us
Our focus is to ensure we’re inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it’s why we especially welcome applications from under‑represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
Benefits
* A generous pension contribution of up to 15%
* An annual performance‑related bonus
* Share schemes including free shares
* Benefits you can adapt to your lifestyle, such as discounted shopping
* 30 days’ holiday, with bank holidays on top
* A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more.
#J-18808-Ljbffr