cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision. Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transferlearning, and more. Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field. You are an ideal candidate … Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems. Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities. Knowledge of distributed training strategies, especially for large-scale multimodal models. Familiarity with autoregressive models, particularly … research. Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks. This role is perfect for you if you: Have a deep passion for machine learning and its potential to impact various industries through multimodal applications. Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance. Are comfortable diving More ❯
PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well … as deep learning, NLP, transferlearning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and … help others succeed. Personality and Attitude A self-starter and self-manager who can engage people, keep them engaged and progressing through the qualification. Want to teach and ensure learning is taking place. A can-do and upbeat attitude to work, colleagues, clients and managers. An inquisitive mind, able to find things out and problem solve. Solutions focused with More ❯
other relevant engineering domains. 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company. Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization. Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems, transferlearning etc. Excellent More ❯
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations EMEA - United Kingdom - Birmingham EMEA - United Kingdom - Offsite/Home EMEA - United Kingdom - London - Agar St EMEA - United Kingdom - Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887 Job Requisition ID # 25WD88887 Position Overview As we embark on a multi … Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to More ❯
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations EMEA - United Kingdom - Birmingham EMEA - United Kingdom - Offsite/Home EMEA - United Kingdom - London - Agar St EMEA - United Kingdom - Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887 Job Requisition ID # 25WD88887 Position Overview As we embark on a multi … Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to More ❯
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations EMEA - United Kingdom - Birmingham EMEA - United Kingdom - Offsite/Home EMEA - United Kingdom - London - Agar St EMEA - United Kingdom - Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887 Job Requisition ID # 25WD88887 Position Overview As we embark on a multi … Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to More ❯
