Senior Machine Learning & AI Engineer

Lloyds Banking Group; Moor Side; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading financial institution is seeking a Senior Data & AI Scientist to leverage AI and machine learning for insightful decision-making. You will collaborate with cross-functional teams to address complex business problems, ensuring ethical considerations and accuracy in model optimization. Ideal candidates should have strong Python proficiency and experience in Generative AI and MLOps tools. This position offers a chance to make a significant impact in a diverse and inclusive workplace.

Benefits

Generous pension contribution of up to 15%

Annual performance-related bonus

Share schemes including free shares

Discounted shopping benefits

30 days’ holiday plus bank holidays

Wellbeing initiatives and parental leave policies

Qualifications

• Hands-on development experience in modelling.
• Advanced proficiency in Python, particularly with data science libraries.
• Strong understanding of feature engineering and model evaluation.

Responsibilities

• Collaborate with cross-functional teams to deliver solutions.
• Collect and analyse data while ensuring ethical use.
• Develop and implement machine learning models.

Skills

Machine Learning

Python

Data Analysis

Statistical Analysis

Generative AI

Feature Engineering

MLOps

Communication Skills

Tools

NumPy

Pandas

scikit-learn

PyTorch

TensorFlow

GCP

Docker

MLflow

Job description

Position Overview

As a Senior Data & AI Scientist, you will leverage AI and machine learning to gain insights, make predictions, and aid decision‑making. You will ensure ethical considerations and accuracy are upheld while delivering optimized models ready for production. Your work will contribute to solving complex business problems and improving operational efficiency.

Responsibilities

• Collaborating with cross‑functional teams to understand business requirements and deliver solutions.
• Collecting, processing, and analysing data from various sources and ensuring ethical use of data in all projects.
• Performing statistical analysis to identify trends and patterns.
• Developing and implementing machine learning models and algorithms.
• Continuously improving models and processes for better performance.

Qualifications & Experience

• Hands‑on development experience in modelling.
• Advanced proficiency in Python (including libraries such as NumPy, Pandas, scikit‑learn, PyTorch/TensorFlow).
• Strong understanding of feature engineering, model selection, evaluation metrics, optimisation techniques and Generative AI.
• Ability to apply complex statistical methods and design experiments.
• Familiarity with GCP cloud environment for deploying ML solutions.
• Ability to understand complex business requirements and create business‑ready solutions.
• Strong interpersonal, communication and influencing skills, particularly the ability to convey technical information to non‑technical stakeholders.
• Experience with Generative AI and emerging AI technologies.
• Experience with MLOps tools (MLflow, Docker, CI/CD pipelines).
• Insights into industry solutions for data management, storage, and analytics.
• Experience working within regulatory change, including Credit Risk, capital and impairment processes.
• Experience with line management.

Company Culture & Commitment to Diversity

We're on an exciting journey and there couldn't be a better time to join us. The investments we're making in our people, data and technology are leading to innovative projects, fresh possibilities and countless new ways for our people to work, learn and thrive. 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. We especially welcome applications from under‑represented groups. We are disability‑confident; if you need reasonable adjustments, please let us know.

Benefits

• Generous pension contribution of up to 15%
• 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