Machine Learning Engineer | Gen AI | LLM | RAG | Financial | FinTech | Wealth | Python

Gravitas has partnered with a well funded FinTech Start-Up specialising in building Gen AI financial advisory solutions for enterprise businesses.

As theLead Machine Learning Engineerspecialising inGenerative 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.

Position:Lead Machine Learning Engineer

Salary:£80,000 - £110,000

Benefits:Equity + Benefits package

Location:UK, Remote (occasional travel to London to be on client site)

Sector:FinTech

The day to day:

• Lead the development of innovativeGenerative AI modelstailored to the wealth management industry.
• Drive theoptimisation of large language models (LLMs)to extract deeper insights and enhance prediction capabilities for financial applications.
• Spearhead the implementation ofRetrieval-Augmented Generation (RAG)systems, improving the AI’s performance in specific financial scenarios.
• Lead initiatives formodel fine-tuning, ensuring generative models perform optimally in real-world financial contexts.
• Design and build scalableAI pipelinescapable of managing and processing complex financial data.
• Innovate in the field ofConversational AI, enhancing client-advisor interactions with intelligent, real-time decision-making systems.
• Develop and deployAI-driven systemscapable 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:

• 6+ yearsof experience as aMachine Learning Engineer, with a strong track record of impactful AI projects.
• Expertise inGenerative AI, with at least1 yearof hands-on experience working with generative models.
• Strong experience withRetrieval-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 inPythonand deep learning frameworks likePyTorchorTensorFlow.
• Strong experience withMLOps,ML pipelines, and deployment on cloud platforms likeAWS,GCP, orAzure.
• Solid foundation in software engineering principles, ensuring that code is efficient, scalable, and maintainable.

Desirable skills / experience:

• Experience across a range ofGenerative AI modelsand architectures, with an understanding of their practical applications.
• Familiarity with theFinTechorwealth managementsectors, and an understanding of the industry's unique challenges and opportunities.
• Contributions to theAI community, such as research papers, open-source projects, or speaking engagements.
• Knowledge ofcontainerisation technologieslikeDockerandKubernetesfor seamless deployment.