Tech and Tooling Manager – Markets, AI Modelling

Lloyds Banking Group

. You’ll join a dedicated team responsible for the development, implementation, and support of AI/GenAI tooling to enable scalable, efficient, and reliable validation and risk oversight.

Posted 5/23/2026full-timeLeeds • 🇬🇧 United KingdomMid-LevelSenior💰 £84,051 - £93,390 per yearWebsite

Tech Stack

Tools & technologies

AzureBigQueryCloudGoogle Cloud PlatformPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

You’ll join a dedicated team responsible for the development, implementation, and support of AI/GenAI tooling to enable scalable, efficient, and reliable validation and risk oversight.
Responsibilities will also include: Collaborating to develop tools for validation, testing, explainability, and monitoring.
Supporting validation activities by developing prototype pipelines and frameworks for testing AI/GenAI models.
Building and maintaining reusable code libraries to automate model documentation, validation, and risk assessments.
Driving technical innovation and continuous improvement of the validation tooling environment.
Developing benchmark testing templates and reporting dashboards to streamline assurance across use cases.
Monitoring emerging technologies (e.g., LLMOps, RAG pipelines, agent toolkits) to future-proof the validation and tooling landscape.
Supporting knowledge sharing, collaboration, and tooling governance across stakeholders.

Requirements

What you’ll need

3+ years professional experience working in AI Model Development / Validation, or a similar quantitative role within financial services or other regulated industries; or a recent relevant PhD
A numerate degree or equivalent experience (e.g., Data Science, Statistics, Mathematics, Computer Science, or Physics)
Strong analytical and problem-solving skills with the ability to critically evaluate complex AI systems and models
Excellent written and verbal communication skills, with an ability to communicate complex quantitative concepts clearly to non-technical customers
Ability to work proactively and independently, manage time optimally, and deliver high-quality outputs within tight timelines
Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; including SQL
Hands-on experience or strong theoretical knowledge of GenAI techniques and methodologies
Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments
Experience and knowledge of regulatory requirements and frameworks relevant to AI, such as the EU AI Act, GDPR, SS1/23, and standard processes in AI ethics and governance

Benefits

Comp & perks

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

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Hard Skills & Tools

PythonAI Model DevelopmentValidationData ScienceStatisticsMathematicsComputer ScienceGenAI techniquesSQLAnalytical skills

Soft Skills

Problem-solvingCommunicationTime managementProactive workIndependenceCollaborationKnowledge sharingCritical evaluation