1 to 25 of 49 Remote/Hybrid NumPy Jobs in England

problems. Experience of coaching junior data scientists/analysts. Experience in reviewing code and documentation to a high standard. Experience in using Python (pandas, numpy, scikit-learn). End-to-end experience of managing multiple data science and analytics projects in different industries and with different types of data (text ...

Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing ...

Science, Mathematics, Statistics or another STEM-related discipline. Desirable Skills Experience with cloud platforms such as AWS, Azure or GCP . Experience with Pandas, NumPy and Scikit-learn . Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative ...

analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux software development platforms Good understanding of statistics and data preparation, Working knowledge ...

data and implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building ...

data and implementing data science processes. · Experience in translating customer requirements into technical requirements and development objectives. · Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). · Proficient in SQL. · Working with unstructured data · Building ...

quality sample and genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive ...

least one primary backend language: Java (Modern Java, Spring Boot, concurrency, low-latency tuning, GC optimization), OR Python (Modern Python, asynchronous programming, NumPy/Pandas, FastAPI), OR .NET/C# (Modern .NET Core, multi-threading, asynchronous I/O, memory profiling). Distributed Systems & Messaging: Strong experience with enterprise messaging ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines ...

/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g. ...

problems. Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering Rigor: Proven ability to build for production. Experience working in cloud ...

Hands-on experience with SQL for data processing and analytics. Strong programming skills in Python , with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch . Experience with Databricks and Spark for data manipulation and querying. Prior experience in the retail industry, with ...

experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment ...

Python and SQL Strong foundation in mathematics and statistics Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data Familiarity with Git as part of the development process ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

Streamlit Infrastructure and DB: Postgres, Warehousing (if we did it), prefect, Kubernetes, SQLAlchemy, AWS Visualisation: Grafana, Superset, Marimo Forecasting + general DS: lightgbm, xgboost, numpy, scipy, scikit-learn Claude AI Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply ...

experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems Programming & Frameworks Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such ...

production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues ...

candidates will be considered based on their overall skills, experience and suitability for the role. Strong Python for data analysis and modelling (e.g. pandas, NumPy, SciPy, scikit-learn or similar) Strong SQL, including querying, joining and aggregating data across relational databases Experience ingesting, cleaning and transforming data from varied sources ...

integrate and deploy Machine Learning capabilities and techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‐learn Take pride in writing clean, reusable, maintainable and well‐tested code A desire to learn and embrace ...

Extendable)****JOB DETAILS:** **Technical Skills/Competencies:****Python:** Design, develop, and maintain Python scripts for data processing and transformation. Work extensively with Pandas and NumPy for data analysis and manipulation. Work experience in file processing libraries and other python libraries. Work extensively with testing frameworks (unittest/pytest). Manage ...

designed metrics, or run structured model comparisons, and you can talk about where your own metrics misled you - Strong Python for data work (pandas, numpy, notebooks, and the ability to write code other people can run) - Confident with SQL and relational databases - Solid grounding in statistics and experiment design: sampling ...