1 to 25 of 30 Remote scikit-learn Jobs in London

Advanced Python programming skills, with a strong emphasis on writing efficient, scalable, and maintainable code. Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data More ❯

software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience More ❯

to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid More ❯

strong programming skills in languages like Python, R, or other statistical programming tools. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is essential to successfully build and deploy models. Additionally, you should have a solid understanding of statistical analysis techniques, including hypothesis testing, regression 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 ❯

We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle More ❯

years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and database experience More ❯

years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and database experience More ❯

such as STEM subject or Economics). Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation and statistical modeling. A minimum of 5 years experience working with Futures order book market data, with strong familiarity in More ❯

Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such More ❯

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 visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won More ❯

Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with automation frameworks in software testing (e.g., PyTest, Cucumber). Experience More ❯

years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock options. Hybrid More ❯

years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock options. Hybrid More ❯

colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully More ❯

colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully More ❯

or product-focused roles. Deep understanding of LTV modeling, forecasting, and experimental design. Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Advanced SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing More ❯

their integration with databases (e.g. Postgres); You are familiar with the key tools of the Python data science stack, e.g. Pandas, Numpy and scikit-learn; Some experience with training and deploying ML models; You enjoy writing elegant, well-tested and maintainable code; You are a team player that More ❯

etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust More ❯

Data Scientists to deploy trained machine learning models into production environments; Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch; Experience with software engineering best practices and developing applications in Python; Technical experience of cloud architecture, security, deployment, and open More ❯

of ML models and observability tools Proficiency in Python and SQL Experience with Spark and Apache Airflow Knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-Learn) Experience with cloud platforms, preferably AWS Experience with containerization technologies Useful information: Their offices are located in central London with support for hybrid More ❯

ML models and ML observability tools ** Strong Python and SQL experience ** Spark/Apache Airflow ** ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) ** Experience with cloud platforms (preferably AWS) ** Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud More ❯

applied AI, with hands-on experience in model development, evaluation, and deployment. Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar. Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector databases. Understanding of software engineering best practices More ❯

Overview Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products More ❯