Lead Machine Learning Engineer - LLMs

Important InfoThis role is a remote opportunity for candidates based in the EU. You must be willing to travel within the EU occasionally. This is an experienced hire so please only apply is you have relevant commercial experience.CompanyUMATR has partnered with a cutting edge, high-growth tech scale-up who are looking to hire a Lead Machine Learning Engineer to work in collaboration with their AI Lead to define and implement an AI strategy across the business.RoleIn this position you will lead and implement the artificial intelligence strategy, specializing in generative AI, while tak. You will elevating the organistaions generative AI capabilities to new heights. Specifically enhancing their suite of uniquely designed AI services.ResponsibilitiesDesign advanced architectures that integrate AI and ML for predictive analytics, real-time data-driven decision-making and action execution.Collaborate with cross-functional teams to incorporate AI seamlessly across our platform and services.Optimize AI workflows for peak performance, ensuring compatibility between common ML frameworks such as PyTorch, TensorFlow, LangChain and relevant GCP tools such as VertexAI.Develop and implement scalable AI solutions tailored to business needs, ensuring high accuracy and efficiency. Enhance models with the latest AI research, using tools like Git and DVC for version control and collaboration.Integrate AI models into production environments, ensuring seamless interaction with existing systems and workflows. Design and implement robust data pipelines to feed AI models with high-quality, real-time data. Ensure model predictions and outputs are reliable, actionable, and accessible.Key Skills Strong skills in artificial intelligence, especially in generative AI and LLMs.Experience with ML Frameworks such as PyTorch and Tensorflow.Strong proficiency in PythonDeep understanding on GenAI and up to date knowledge of the ever changing landscapeInterest in NLP and Knowledge graphsThe above information is only a preview of the company and role, please contact Jack Calvin to discuss further details. If your profile matches the requirements please apply with your CV attached.