solve unique and challenging problems. Requirements: Proven experience developing and deploying machine learning models in a production environment. Strong programming skills in Python & familiarity with ML frameworks (PyTorch or TensorFlow). Solid understanding of ML fundamentals and modern deep learning architectures (e.g., Transformers, CNNs). A passion for applying ML to new, creative domains and an eagerness to learn More ❯
modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources More ❯
or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFace Experience building full ML pipelines from data ingestion to deployment Solid software engineering practices including testing, version control, and CI/CD Strong communication and collaboration skills More ❯
strategy. Contribute to hiring and mentoring as the team scales. Essential Skills & Experience Deep expertise in Computer Vision , especially in Object Detection . Strong hands-on experience with PyTorch , TensorFlow , and Transformer. Proven track record of delivering CV solutions in production environments. Ability to communicate technical concepts clearly across teams. UK-based and able to travel to London when More ❯
