Machine Learning Engineer | Gen AI | LLM | RAG |Financial | FinTech | Wealth | PythonGravitas has partnered with awell funded FinTech Start-Up specialising in building Gen AIfinancial advisory solutions for enterprise businesses.As the LeadMachine Learning Engineer specialising in Generative AI, you willbe at the helm of cutting-edge AI projects that will fundamentallyreshape how financial decisions are made. Your work will directlyinfluence how personalised, real-time financial insights aredelivered, enabling smarter, more efficient advisory services andimproving the overall customer experience. This is a uniqueopportunity to lead transformative AI solutions in a fast-growingsector.Position: Lead Machine Learning EngineerSalary: £60,000 -£100,000Benefits: Equity + Benefits packageLocation: UK, Remote(occasional travel to London to be on client site)Sector:FinTechThe day to day:Lead the development of innovative GenerativeAI models tailored to the wealth management industry.Drive theoptimisation of large language models (LLMs) to extract deeperinsights and enhance prediction capabilities for financialapplications.Spearhead the implementation of Retrieval-AugmentedGeneration (RAG) systems, improving the AI’s performance inspecific financial scenarios.Lead initiatives for modelfine-tuning, ensuring generative models perform optimally inreal-world financial contexts.Design and build scalable AIpipelines capable of managing and processing complex financialdata.Innovate in the field of Conversational AI, enhancingclient-advisor interactions with intelligent, real-timedecision-making systems.Develop and deploy AI-driven systemscapable of real-time financial data analysis and actionableinsights.Write clean, maintainable, and efficient code,establishing best practices for AI infrastructure within thecompany.Collaborate closely with cross-functional teams tointegrate 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 inGenerative AI, with at least 1 year of hands-on experience workingwith generative models.Strong experience with Retrieval-AugmentedGeneration (RAG) and other cutting-edge AI techniques.Provensuccess in fine-tuning models for specialized applications,particularly in financial services or data-driven domains.Advancedproficiency in PythonStrong experience with MLOps, ML pipelines,and deployment on cloud platforms like AWS, GCP, or Azure.Solidfoundation in software engineering principles, ensuring that codeis efficient, scalable, and maintainable.Worked in a product basedcompanyFamiliarity with the FinTech or wealth management sectors,and an understanding of the industrys unique challenges andopportunities, but this is not essentialNest steps / Interviewprocess:We will be meeting with the hiring team on Wednesday 15thJanuary to discuss suitable candidatesThe interview processconsists of 3 stages, Initial call, technical interview andin-person cultural fitPlease apply now to be considered and therelevant consultant will be int touch.
