1 to 25 of 33 Remote/Hybrid NumPy Jobs in the UK

C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure, GCP CI/CD pipelines (GitLab, Jenkins) Desirable ...

databases and big-data platforms within financial services. Proven experience delivering market data platforms supporting pricing and risk calculations. Technical Skills Strong Python (pandas, numpy, data engineering best practices). Advanced SQL and strong experience with Snowflake (schema design, warehouse management, streams/tasks, query optimisation). Experience building ...

trading technology. Advanced degree (Master’s or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline. Advanced Python engineering capability (inc. NumPy/SciPy/Pandas). Strong understanding of derivatives pricing theory. Background working with commodity or equity options, including structured derivatives. Solid understanding of Greeks ...

Computer Science, Software Engineering or a related field. 2. Experience with image processing libraries (e.g. OpenCV, PIL, scikit-image) or numerical analysis (NumPy, SciPy). 3. Solid understanding of React/JavaScript/Typescript for web or mobile app development. Desirable skills/requirements 4. Experience with cloud/server ...

data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling ...

data science practices tooling governance Essential Skills for the Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working ...

around imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear ...

Experience with recommender systems, personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding of MLOps ...

programming, heuristics) Fluent in Python(required) and other programming languages (preferred)with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobietc.) to solve real-life problems and visualise the outcomes (e.g. seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking ...

programming, heuristics) Fluent in Python(required) and other programming languages (preferred)with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobietc.) to solve real-life problems and visualise the outcomes (e.g. seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking ...

Hands-on cloud experience within Azure or AWS plus CI/CD tooling and Git Desirable Skills for the AI Engineer: Experience using Pandas NumPy or PyTorch Exposure to NodeJS VueJS or equivalent frontend technologies If you are an AI Engineer with strong hands-on capability and a passion ...

experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar) 🗄 Solid experience working with SQL and structured datasets ☁️ Hands-on experience using AWS (e.g. S3, RDS, Athena, Glue, or similar ...

Master’s degree (Russell Group preferred) in Data Science, Computer Science, Mathematics, Physics, Engineering, or similar Excellent Python skills and ML foundations (e.g. pandas, NumPy, scikit-learn; strong coding practices matter) Strong grasp of model evaluation, statistics, and experimentation Confident working with data at scale using SQL (and a practical ...

years experience in Data Analytics or Data Science across internships and/or work experience Strong Python skills for analysis (pandas/NumPy, clean coding practices) Solid understanding of statistics, experimentation/evaluation, and working with messy real-world data Confident using SQL to query and combine datasets Clear communicator ...

/placements welcome in addition) Strong SQL skills and confidence working with relational data and large datasets Strong Python for analysis/automation (pandas, NumPy; good coding hygiene) Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards) Solid understanding of analytics fundamentals: data cleaning ...

within financial services. Proven experience working with historical market data and time series in a market risk context. Technical Skills Strong Python skills (pandas, numpy, data engineering best practices). Advanced SQL and strong experience with Snowflake (warehouse management, streams/tasks, query optimisation). Experience building scalable, production-grade ...

methodologies and contribute to our internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability ...

technical and non-technical stakeholders What we’re looking for Essential experience Strong grounding in statistical modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert ...

media, marketing, pricing, and promotional levers, and how they influence commercial performance. Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn). High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word. Exceptional attention to detail and a commitment to analytical rigour. Ability to manage ...

media, marketing, pricing, and promotional levers, and how they influence commercial performance. Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn). High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word. Exceptional attention to detail and a commitment to analytical rigour. Ability to manage ...

Master’s degree in STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability ...

used Strong SQL/SSIS/Kingswaysoft and starting to use AI and automation for ETL. Python would be useful (PySpark/Pandas/NumPy) Desirable Experience migrating data into Dynamics (or similar ERP platforms) Experience working with messy, real-world data Why Join? High visibility, business-critical role Direct ...

3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks ...