TL;DR

Senior Data Scientist (AI): Developing next-generation agentic AI models and traditional machine learning solutions that power critical business decisions with an accent on modern research and scalable, explainable, and robust AI systems. Focus on architecting agentic systems, operationalising LLM solutions, and engineering APIs and containerised microservices for scalable ML.

Location: Hybrid, requiring 40% (or two days) in the Manchester office.

Salary: £72,702 - £80,780

Company

%hirify_global% is an innovative, fast-changing business shaping the future of finance and empowering its people.

What you will do

Architect agentic systems, including multi-step reasoning, autonomous decision-making, and safe action flows.
Operationalise LLM solutions through evaluation, fine-tuning, and prompt strategies with measurable outcomes.
Engineer APIs and containerised microservices for scalable ML, embedding CI/CD, model versioning, and monitoring.
Assure interpretability, fairness, and audit readiness, meeting compliance standards.
Experiment using human-feedback loops and A/B testing to iterate and improve performance.
Translate complex concepts into actionable insights to influence product roadmaps.

Requirements

Advanced proficiency in Python and SQL, with hands-on use of pandas, NumPy, scikit-learn, and PyTorch.
Strong knowledge of supervised/unsupervised learning, and experience in NLP, anomaly detection, and classification.
Experience across the full software development lifecycle, from experimentation to deployment of containerised ML models using Docker and Kubernetes.
Familiarity with agentic architectures, multi-step reasoning, and autonomous decision frameworks.
Ability to integrate LLMs and reinforcement learning into production workflows.
Expertise in interpretability and bias detection, delivering audit-ready solutions aligned to governance and compliance.

Nice to have

Work with Vertex AI Agent Builder, LangGraph, multi-agent orchestration, or agent-to-agent protocols.
Hands-on LLM fine-tuning, prompt engineering, and evaluation frameworks.
Design and analysis of A/B tests and other experimentation methods.
Knowledge of data governance and model risk management in regulated environments.

Culture & Benefits

Inclusive organisation celebrating diversity, welcoming applications from under-represented groups.
Generous pension contribution of up to 15%.
Annual bonus award, subject to Group performance, and share schemes.
Flexible benefits package, including discounted shopping.
30 days’ holiday plus bank holidays.
Range of wellbeing initiatives and generous parental leave policies.