Machine Learning Engineer (Multimodal)Up to £100,000London Hybrid/RemoteDriving innovation with AI and machine learning to revolutionize financial services and enhance customer experiences.COMPANYHarnham has partnered with a leading Fintech company using advanced AI technology to transform financial services. Their cutting-edge approach has led to the development of innovative financial solutions, making significant strides in areas such as fraud detection, personalized financial advice, and risk management.ROLE:Lead the development of AI algorithms, focusing on AI/ML techniques and Large Language Models (LLMs) to drive innovation in financial services.Build and test machine learning models, advocate for best coding practices, and ensure high-quality results through thorough testing.Collaborate closely with data scientists, financial analysts, and engineers to develop and implement AI/ML tools for data analysis.Leverage expertise in multimodal LLMs, especially in search and retrieval-augmented generation (RAG) technologies, to enhance model performance and application in financial contexts.YOUR SKILLS AND EXPERIENCE:MSc or PhD in a STEM subject.Proven experience with the implementation of Machine Learning models and Large Language Models, including multimodal LLMs.MLOps/DevOps experience with CI/CD pipelines.Proficiency in TensorFlow, Kubernetes, MLFlow, Kafka, and Airflow.Strong Python skills are essential; experience with AWS and Spark is beneficial.Excellent communication skills and experience engaging with team members and stakeholders.Expertise in large-scale computation and experience in a research or tech-driven environment.Familiarity with LLMs and tools like Langchain, with specific exposure to search and retrieval-augmented generation (RAG) technologies.Keen interest in financial technology and the Fintech space.BENEFITS:Salary up to £100,000BonusHealthcare & PensionHOW TO APPLY:Please register your interest by sending your CV to Luc Simpson-Kent via the link on this page.