CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language more »
of computer science fundamentals, including data structures, algorithms, data modeling, and software architecture. Proficiency in classical machine learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost) and modern deep learning algorithms (e.g., BERT, LSTM). Strong knowledge of SQL and Python's data analysis ecosystem (Jupyter, Pandas, Scikit-Learn, Matplotlib). more »
modern data science best-practice Required Skills A numerate degree Excellent scripting and programming ability in Python Experienced in applying machine learning techniques (e.g. xgboost, regression, decision trees) Experience in an area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc.) SQL and experience with databases (SQL Server more »
Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable Knowledge of machine learning techniques such as Neural Nets, Random Forest or XgBoost and working with LLMs and associated techniques would be beneficial You are highly driven, dedicated, and have a keen sense of personal responsibility, and are more »
Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable Knowledge of machine learning techniques such as Neural Nets, Random Forest or XgBoost and working with LLMs and associated techniques would be beneficial You are highly driven, dedicated, and have a keen sense of personal responsibility, and are more »
platforms (AWS, GCP, Azure) Experience with Linux/Unix Strong plus Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray Experience with hyperparameter optimization solutions Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience more »
platforms (AWS, GCP, Azure) Experience with Linux/Unix Strong Plus: Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience more »
team Adapt Customer Success playbooks for customers in EMEA Strong Plus: Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience more »
