newport, wales, united kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
You MSc or PhD in Data Science, Computer Science, Statistics, Mathematics , or a related field. Proven experience building and deploying predictive models using Python and libraries such as scikit-learn, TensorFlow, PyTorch, etc Excellent problem-solving skills and attention to detail. Effective communicator with the ability to collaborate across disciplines. Comfortable working on site in Cardiff three days More ❯
optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master's or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯
optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯
optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯
performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Masters or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯
london (city of london), south east england, united kingdom
Astek Middle East
performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Masters or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯
optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯
environments. Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, HuggingFace Transformers). Knowledge of conversational AI platforms (Dialogflow, Lex, Rasa). Familiarity with TensorFlow , PyTorch , Keras , scikit-learn , and Pandas . Experience integrating with cloud-based AI services (AWS, Google Cloud, Azure). The ability to communicate complex technical concepts clearly and confidently. Desirable (Not Essential More ❯
environments. Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, HuggingFace Transformers). Knowledge of conversational AI platforms (Dialogflow, Lex, Rasa). Familiarity with TensorFlow , PyTorch , Keras , scikit-learn , and Pandas . Experience integrating with cloud-based AI services (AWS, Google Cloud, Azure). The ability to communicate complex technical concepts clearly and confidently. Desirable (Not Essential More ❯
Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that More ❯
Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that More ❯
Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that More ❯
Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that More ❯
london (city of london), south east england, united kingdom
Synthesis
Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that More ❯
and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research More ❯
and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research More ❯
and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research More ❯
and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research More ❯
london (city of london), south east england, united kingdom
Safe Intelligence
and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research More ❯
teams to embed AI capabilities into wider systems. Translate emerging research into practical, deployable prototypes. What we’re looking for: Strong Python skills, with experience in PyTorch, TensorFlow, scikit-learn, and LLM frameworks Solid grounding in statistics, probability, and machine learning fundamentals. Experience with cloud (AWS/GCP/Azure), Docker, and API development What our client offers More ❯
working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools More ❯
working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools More ❯
paced and data-rich environment. Youll need: 25+ years experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL More ❯
working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools More ❯
working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools More ❯
