18 of 18 Permanent scikit-learn Jobs in the South West

techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter More ❯

etc.) Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond More ❯

etc.) Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond More ❯

similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business More ❯

science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best More ❯

similar projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

designing optimal AI solutions. Develop and deploy AI models for visual data analysis and inference using Python and C++, OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy. Collaborate with our data scientists and domain experts to understand project requirements and design optimised AI solutions. Preprocess and analyse visual … data using OpenCV, scikit-learn, and scipy to extract meaningful insights. Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy. Optimize AI models using OpenVINO for efficient inference on edge devices and cloud platforms. Implement data pipelines … AI Engineer or similar roles. Strong proficiency in Python/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimisation. Strong analytical and problem More ❯

machine learning models, integrating plasma physics insights to innovate semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as … Advanced proficiency in at least one of Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and familiarity with Linux environments. Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing. More ❯

days per week. 🧠 What You’ll Do: Analyse complex datasets to identify trends, patterns, and actionable insights Use Python (including libraries like Pandas, Scikit-learn, etc.) to build and deploy predictive models and ML algorithms Develop pre-processing pipelines to clean, transform, and prepare data for modelling Apply … What You’ll Bring: Eligibility for UK Security Clearance (SC) is essential Strong Python skills with hands-on experience using libraries like Pandas, Scikit-learn, and NumPy Solid understanding of statistics, data modelling, and machine learning techniques Experience delivering data science solutions in a business or client-facing More ❯