80000.00 - 180000.00 per annumLondonPermanentSenior Machine Learning EngineerAI StartupLocation: Fully Remote (Europe)Salary: 80,000 - 180,000 + EquityThe Role I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows.The product is still pre-launch, making this a genuine 0?1 opportunity to join a small, high-calibre engineering team and build the machine learning systems that will power the product from day one.They're hiring across multiple levels, from Senior through to Staff Machine Learning Engineers.Key ResponsibilitiesDesign, build and deploy production machine learning systemsOwn the full ML lifecycle, from data preparation through to training, evaluation and inferenceTurn research into reliable, production-ready ML solutionsOptimise models for performance, latency, scalability and costBuild robust training and inference pipelinesDebug complex production issues using real-world data and signalsMentor engineers and help drive engineering standards across the ML functionKey RequirementsCommercial experience building and deploying production ML systemsStrong Python software engineering skillsExperience training, fine-tuning or deploying modern machine learning modelsStrong experience with PyTorch and/or JAXExperience building scalable ML infrastructure and inference pipelinesComfortable owning projects end-to-end in fast-moving environmentsPrevious mentoring or technical leadership experience would be advantageousTech Stack Python * PyTorch * JAX * GPU Training * LLMs * Modern ML InfrastructureGet in touch for more details - ncarolan@mcgregor-boyall.comMcGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Principal Engineer - AWS in London employer: McGregor Boyall
Join a prestigious financial institution in Dublin as a Remote Python Risk Developer, where you'll be at the forefront of developing innovative risk management solutions for Emerging Markets. Enjoy a competitive contract rate and the flexibility of hybrid working, all while collaborating with top-tier professionals in a dynamic environment that fosters professional growth and exposure to high-profile projects. This role not only offers the chance to work with cutting-edge technology but also encourages continuous learning in advanced risk management practices.
