TL;DR

Senior Data Scientist (AI): Leading the development of advanced AI-driven solutions, leveraging deep expertise in data science, Language Models, and Generative AI within a cloud-native ecosystem. Focus on designing and implementing scalable models, driving experimentation, and transforming cutting-edge research into production-ready capabilities.

Location: Hybrid, 40% (two days) in a Manchester, UK office site

Salary: £70,929 – £86,691 (annual)

Company

%hirify_global% is the UK’s leading digital financial franchise, investing billions in people, data, and technology to transform the way it meets the needs of its 26 million customers across brands like Lloyds Bank, Halifax, and Bank of Scotland.

What you will do

Lead the development of advanced AI-driven solutions using data science, Language Models, and Generative AI.
Design and implement scalable machine learning models.
Drive experimentation and transform cutting-edge research into production-ready capabilities.
Collaborate closely with engineering teams for solution deployment.
Apply deep understanding of Natural Language Processing (NLP), classification, and anomaly detection.

Requirements

Extensive hands-on experience in data science, with a proven track record of architecting and deploying machine learning models into production.
Proficiency in Python (including pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL.
Proven expertise across the full software development lifecycle for machine learning, including API development and deploying containerized models.
Deep understanding of supervised and unsupervised learning, agentic AI architectures, and multi-step reasoning frameworks.
Practical experience in operationalizing LLMs, including fine-tuning, evaluation, and integration into production workflows.
Expertise in model interpretability, bias detection techniques, and delivering solutions that enforce strict governance and compliance standards.

Nice to have

Hands-on experience with specialized agentic frameworks such as LangGraph or CrewAI.
Exposure to Google Cloud Platform (GCP) tooling, particularly Vertex AI and BigQuery.
Familiarity with Reinforcement Learning with Human Feedback (RLHF) or similar techniques for iterative model improvement.

Culture & Benefits

Inclusive environment that reflects modern society and celebrates diversity.
Generous pension contribution of up to 15%.
Annual bonus award, subject to Group performance, and share schemes.
30 days’ holiday, plus bank holidays.
A range of wellbeing initiatives and generous parental leave policies.
Opportunity to work in a hybrid pattern, requiring 40% (or two days) in an office site.