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 theSenior 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:Senior Machine Learning Engineer

Salary:Negotiable depending on experience

Benefits:Equity + Benefits package

Location:Sherborne / 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.

We are meeting with the hiring team on Tuesday 12th November to discuss potential candidates, with interviews scheduled for next week.

Unfortunately this client is unable to offer sponsorship