Lead Machine Learning Engineer

Company Overview

Gravitas is an internationally renowned recruitment group supporting niche roles within technology, insurance, and banking. We help fuel innovation by supporting specialisms that underpin development, transformation, and growth. As niche specialists, we partner with our clients to create strategic hiring solutions that deliver the best, skilled, niche, talent – fast. We balance speed and excellence with compliance and integrity. That’s why we are trusted! Our proactive, people-focused approach to specialist recruitment, means our candidates feel empowered and supported throughout their careers, providing access to the top companies in our industries. Reinforcing everything we do; we hire talented and passionate people that represent our core values. Our staff enjoy endless learning opportunities with our industry-leading L&D programmes. They use this training and coaching to quickly accelerate their careers, to achieve their ambitions. Our Specialisms We fuel innovation by supporting specialisms that underpin development, transformation and growth. *Technology* – Software, web & mobile – Infrastructure & systems – Transformation – Data & analytics *Insurance* – Actuarial, accounting & finance – Broking & distribution – Operations & transformation – Underwriting & claims *Banking* – Accounting & finance – Audit, risk & compliance – Operations & transformation – Front office Countries and office locations We expand into locations with globally significant financial and technology hubs, ensuring we are at the heart of innovation.
As the Lead Machine Learning Engineer specialising in Generative AI, you will be at the helm of cutting-edge AI projects that will fundamentally reshape how financial decisions are made. Your work will directly influence how personalised, real-time financial insights are delivered, enabling smarter, more efficient advisory services and improving the overall customer experience. This is a unique opportunity to lead transformative AI solutions in a fast-growing sector.

The day to day:

  • Lead the development of innovative Generative AI models tailored to the wealth management industry.
  • Drive the optimisation of large language models (LLMs) to extract deeper insights and enhance prediction capabilities for financial applications.
  • Spearhead the implementation of Retrieval-Augmented Generation (RAG) systems, improving the AI’s performance in specific financial scenarios.
  • Lead initiatives for model fine-tuning, ensuring generative models perform optimally in real-world financial contexts.
  • Design and build scalable AI pipelines capable of managing and processing complex financial data.
  • Innovate in the field of Conversational AI, enhancing client-advisor interactions with intelligent, real-time decision-making systems.
  • Develop and deploy AI-driven systems capable of real-time financial data analysis and actionable insights.
  • Write clean, maintainable, and efficient code, establishing best practices for AI infrastructure within the company.
  • Collaborate closely with cross-functional teams to integrate AI solutions into the core platform.

Essential skills / experience:

  • 3+ years of experience as a Machine Learning Engineer, with a strong track record of impactful AI projects.
  • Expertise in Generative AI, with at least 1 year of hands-on experience working with generative models.
  • Strong experience with Retrieval-Augmented Generation (RAG) and other cutting-edge AI techniques.
  • Proven success in fine-tuning models for specialized applications, particularly in financial services or data-driven domains.
  • Advanced proficiency in Python
  • Strong experience with MLOps, ML pipelines, and deployment on cloud platforms like AWS, GCP, or Azure.
  • Solid foundation in software engineering principles, ensuring that code is efficient, scalable, and maintainable.
  • Worked in a product based company

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