Financial Services AI Engineer

Leading Point; England; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A specialist data solutions company in the United Kingdom seeks a Financial Services focused AI Engineer for a full-time hybrid role. The position involves supporting the delivery of AI use cases, including pattern recognition, software development, and natural language processing. Candidates should have at least 5 years of financial services experience, a strong background in AI engineering, and a Bachelor's degree in a related field. This role promises a collaborative environment with significant impact on complex risk management and data capabilities.

Qualifications

• 5+ years of essential financial services experience.
• Hands-on AI engineering life cycle experience.
• Strong analytical and problem-solving skills.

Responsibilities

• Support delivery of AI use cases, workflows, analytics, and solutions.
• Responsible for pattern recognition and MLOps.
• Engage in software development and neural networks work.
• Implement natural language processing tasks.

Skills

Pattern Recognition

Neural Networks

Computer Science

Software Development

Natural Language Processing (NLP)

Analytical Skills

Problem-Solving Skills

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

Company Description

Leading Point is a specialist Data Management, Risk and AI solutions company based in London, Dubai, and New York. We deliver on complex risk management, foundational data capabilities, data products and AI solution mandates for global banks, asset and wealth managers, insurers and PE / VC.

Role Description

This is a full-time hybrid role for a Financial Services focused AI Engineer at Leading Point. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions – responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis.

Qualifications

• Pattern Recognition and Neural Networks skills
• Computer Science and Software Development skills
• Natural Language Processing (NLP) skills
• Strong analytical and problem-solving skills
• Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience
• Bachelor's degree in Computer Science, Engineering, or related field