Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Developing and deploying machine learning and LLM systems to analyze unstructured financial data with an accent on NLP and generative AI models. Focus on creating end-to-end production pipelines using Python, GCP, and MLOps practices to enhance customer-facing AI agent capabilities.

Location: Must be based in the UK and able to work in a hybrid format from the London or Bristol office at least 40% of the time.

Salary: £48,987 – £68,040 (depending on location).

Company

hirify.global is the UK's leading digital financial institution, serving millions of customers through brands like Lloyds Bank, Halifax, and Bank of Scotland.

What you will do

• Develop and deploy machine learning models and systems using Python to process complex unstructured and semi-structured financial data.
• Collaborate with cross-functional teams, including data scientists, product owners, and business SMEs, to translate business needs into technical requirements.
• Build and maintain end-to-end MLOps pipelines including data validation, model training, monitoring, and automated testing.
• Implement machine learning solutions within an iterative, Agile environment.
• Utilize containerization and infrastructure-as-code tools to maintain production-grade AI systems.

Requirements

• Must have commercial production experience with Python, including pandas and unit testing.
• Extensive experience with NLP, machine learning, and deep learning techniques.
• Must be able to attend the office in London or Bristol for at least 40% of the working week.
• Hands-on experience in building and deploying models into production environments.
• Knowledge of end-to-end pipelines including data processing, clustering, and regression.

Nice to have

• Hands-on experience with Google Cloud Platform (GCP).
• Knowledge of GenAI and LLM development trends.
• Experience with CI/CD pipelines and Docker containerization.
• Familiarity with Infrastructure as Code (Terraform).

Culture & Benefits

• Generous pension contribution of up to 15%.
• Performance-related annual bonus.
• 28 days of annual leave plus bank holidays.
• Flexible benefits including shopping discounts and share schemes.
• Supportive environment with generous parental leave policies.