environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and More ❯
environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and More ❯
environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and More ❯
environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and More ❯
london (city of london), south east england, united kingdom
Areti Group | B Corp
environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and More ❯
environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and More ❯
environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and More ❯
Cardiff, 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 ❯
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 ❯
guernsey, channel islands, united kingdom Hybrid / WFH Options
Stealth iT Consulting
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 ❯
