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.
