401 to 425 of 742 scikit-learn Jobs in the UK

as Python, Go, or Java. Expertise in Linux environments, with experience in scripting and systems optimization. Proficiency in data structures, debugging, and optimizing pipelines for production. Proficiency with Scikit-learn and deep learning frameworks like PyTorch, with experience in two or more domains: NLP (semantic search, sentiment analysis, translation) Video (object tracking, anomaly detection) Recommendation Systems (retrieval, ranking More ❯

models in production, in Azure Databricks. Tech stack: Databricks, Unity Catalog, Python, Git, MLFlow, Delta tables, Azure DevOps. Hands-on development experience using Python, particularly with TensorFlow, PyTorch, scikit-learn, boto3, and the Python Data Science stack (pandas, numpy, etc.). Strong analytical and problem-solving skills, with the ability to work with large-scale, complex datasets. Experience More ❯

and feedback What you’ll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods A relevant third-level qualification (e.g. Computer Science, Data Science, Software Engineering) Ability to communicate clearly with technical More ❯

ethical and responsible AI usage Proven experience in enterprise architecture, projects specifically in AI/ML systems design • Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps) • Knowledge of regulatory and ethical considerations in AI systems More ❯

were considered impossible, or extremely difficult, to solve. Their core systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they’re also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on. Requirements Passion for More ❯

software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g., TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy, and maintain production-grade Machine Learning systems. You're willing to champion best practices in code quality, testing, observability, and MLOps. More ❯

Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code; Familiarity with medical or life science data is a strong plus; Expertise in SQL, Pandas, Scikit-learn, and modern data workflows; Comfortable working in Google Cloud Platform (GCP) environments. Bonus points for experience with: State-of-the-art NLP models, Transformers, Agentic Approaches for mixed More ❯

impact of their activities Provable knowledge of at least one of the following languages or equivalents: Python, R, Scala, Java Experience with common data science toolkits, such as scikit-learn, pandas, R, Weka; excellence in more than one of these is highly desirable Good understanding of SQL and NoSQL (plus) database technologies; understanding of big data technologies: Hadoop More ❯

impact of their activities Provable knowledge of at least one of the following languages or equivalents: Python, R, Scala, Java Experience with common data science toolkits, such as scikit-learn, pandas, R, Weka; excellence in more than one of these is highly desirable Good understanding of SQL and NoSQL (plus) database technologies; understanding of big data technologies: Hadoop More ❯

next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS MLOps : Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring More ❯

guidance to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering More ❯

guidance to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering More ❯

processing tools, e.g. by using Hadoop/Spark/SQL Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies. Experience in retail sector would be an added advantage What you can expect from us We won't just meet your expectations. We More ❯

and multi-objective optimization using machine learning and/or deep learning methods Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate R&D, innovation labs More ❯

chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with R or dbt is a plus. Experience working with BI tools such as Looker, Tableau, or Power BI. Comfort working in high-growth environments More ❯

such as LTV, dynamic pricing, time-series analysis, reinforcement learning); Solid understanding of ML system design and architecture; Extensive experience with Python, core ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), SQL, Git, and Docker; Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality work; Ability to work with large language models (LLMs), including More ❯

experience in system design, application development, testing, and operational stability. Proficient in coding in Python. Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark). Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying. Overall knowledge of the Software Development Life Cycle. More ❯

practical systems. Background in ERP integration and custom software development. Proficiency with project management tools and stakeholder management. Experience with Machine Learning, NLP, Deep Learning, Neural Networks (TensorFlow, Scikit-learn, Pandas, etc.). Management experience at a lead or support level. Handling large data volumes in SQL, NoSQL, and Big Data databases. Proven track record of delivering projects More ❯

to meet deadlines. Understanding of the commercial impact of data activities. Proven knowledge of languages such as Python, R, Scala, or Java. Experience with data science tools like scikit-learn, pandas, R, or Weka. Good understanding of SQL and NoSQL databases; familiarity with big data technologies like Hadoop and Spark is a plus. Solid knowledge of statistics, including More ❯

into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL More ❯

into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL More ❯

understanding of data structures, software architecture, and data modeling. Experience with tabular data, computer vision, imagery, point clouds, and game datasets. Proficiency with ML libraries like NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras; familiarity with CI/CD, version control (GitLab, Perforce), and cloud platforms (preferably AWS). Benefits include: 22 days holidays + Christmas closure More ❯

in Data Science, Computer Science, Cybersecurity, or a related field. Technical Skills: Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Familiarity with cybersecurity concepts and tools. Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights. Communication Skills: Excellent written and verbal communication skills to More ❯

experience in system design, application development, testing, and operational stability. Proficient in coding in Python. Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark). Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages. Overall knowledge of the Software Development More ❯

good understanding of best practices in software engineering and data engineering Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, Pytorch In-depth knowledge of statistical and machine learning models as well as experience with end-to-end delivery lifecycles Experience in writing clean and maintainable code for More ❯