101 to 125 of 1,211 scikit-learn Jobs in the UK

processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming More ❯

Computer vision, Generative AI, Language Models (e.g., GPT), Retrieval-Augmented Generation (RAG). Technical Skills: Deep knowledge of Python (including libraries such as scikit-learn, Pandas, NumPy). Experience with Jupyter, Spark/Scala or R, PostgreSQL, and ELK stack. Proficiency in Java, Kubernetes, Docker, and microservices-oriented More ❯

complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

in using ML tools such as Mlflow for model lifecycle management Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn Familiarity with timely engineering and large language models (LLM) is a plus Proficiency in multiple programming languages Understanding of containerization technologies like Docker More ❯

complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

Engineer or similar role. Strong knowledge of machine learning algorithms, statistics, and predictive modeling. Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally PyTorch/TensorFlow. Experience with machine learning operations (MLOps) and productionization of ML models. Familiarity with building data and metric generation More ❯

or research experience, or an MS with equivalent experience. Practical experience with machine learning and deep learning toolkits such as TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas. Ability to design experiments, training frameworks, and evaluate model performance aligned with business goals. Experience with big data, scalable model training, and More ❯

Computer vision, Generative AI, Language Models (e.g., GPT), Retrieval-Augmented Generation (RAG).**Technical Skills:*** Deep knowledge of Python (including libraries such as scikit-learn, Pandas, NumPy).* Experience with Jupyter, Spark/Scala or R, PostgreSQL, and ELK stack.* Proficiency in Java, Kubernetes, Docker, and microservices-oriented More ❯

tree-based models, support vector machines, PCA, clustering, matrix factorization, deep learning, etc. Proficiency in Python and its machine learning ecosystem (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch). Knowledge of SQL and experience with relational databases. Agile, action-oriented mindset. Nice to Have Experience with Apache Spark, cloud More ❯

complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

company growth efforts, impacting revenue and other key business outcomes Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch) Knowledge of SQL and experience with relational databases Agile, action-oriente Nice to have Experience working in cloud platforms (AWS, GCP More ❯

company growth efforts, impacting revenue and other key business outcomes Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch) Knowledge of SQL and experience with relational databases Agile, action-oriente Nice to have Experience working in cloud platforms (AWS, GCP More ❯

MATLAB/Simulink, Modelica, Ansys, or equivalent platforms) for modeling BESS components. Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Linux command-line. Hands-on experience with cloud-based environments such as AWS, Azure, or GCP. Knowledge of big data More ❯

in mathematics, statistics or related field or equivalent industry experience. Experience with Python and SQL, including key packages such as Numpy, Pandas and Scikit-learn Have experience with implementation of machine learning concepts and methods Have a solid knowledge of statistical concepts and their applications Have great communication More ❯

techniques for solving problems, ideally including Large Language Models Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy Good communication and interpersonal skills Experience working with large-scale data processing systems such as Spark and Hadoop Experience in More ❯

like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for us More ❯

to internal best practices and the technical growth of the team. Required Qualifications Proficiency in Python and experience with machine learning libraries (e.g. scikit-learn, PyTorch, TensorFlow), Proven ability to deliver data science projects with measurable outcomes, Strong grounding in statistics, modelling, or applied mathematics, Experience with real More ❯

and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). More ❯

to internal best practices and the technical growth of the team. Required Qualifications Proficiency in Python and experience with machine learning libraries (e.g. scikit-learn, PyTorch, TensorFlow), Proven ability to deliver data science projects with measurable outcomes, Strong grounding in statistics, modelling, or applied mathematics, Experience with real More ❯

databases, software engineering, cloud computing especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and More ❯

machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required including cleaning and managing data. Experience in data visualisation and communication. Experience with More ❯

AI, or Computer Science Excellent theoretical grounding in AI/ML Creativity in model design and problem-solving Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Bonus: fluent in German, French, or Spanish Role Highlights: £80,000–£100,000 salary plus bonus (depending on experience) UK More ❯