12 of 12 Part-Time scikit-learn Jobs in the UK

with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n \n\n \n \nExperience with data storage for AI, vector databases, semantic search, and knowledge graphs. ...

with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n \n\n \n \nExperience with data storage for AI, vector databases, semantic search, and knowledge graphs. ...

with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n \n\n \n \nExperience with data storage for AI, vector databases, semantic search and knowledge graphs. ...

feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. \n\n \n Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). \n\n Platform & Cloud Engineering: \n \n Architecture and delivery ...

Professional experience in a data science, ML engineering, or applied data role. \n Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building ...

Professional experience in a data science, ML engineering, or applied data role. \n Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building ...

solve real-world problems in industry or academia \n Strong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest) \n Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills \n\n Preferred qualifications ...

mathematical, ML and software techniques to solve industrial problems and deliver business impact. \n · Modern Tech Stack: Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL. \n · Communication: Exceptional ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. ...

learning methods and large language models. \n Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas). \n Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders. … more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis. \n Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit-learn). \n Understanding of financial services or wealth management domains. \n Desirable: Contributions to open-source ML/LLM tooling; certifications ...

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you ready to shape the future of banking with cutting-edge AI and ...

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Software Engineer II - Applied AI in the AI/ML for Engineering ...

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of AI-driven business operations. You will have ...