1 to 25 of 82 Remote NumPy Jobs in the UK

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 ...

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 ...

monitoring (latency, accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (eg, MLflow), model registry ...

monitoring (latency, accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry ...

Engineering, or a related STEM field. Strong foundation in machine learning concepts, algorithms, and model development. Experience with Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Understanding of software engineering principles and version control (Git). Familiarity with cloud platforms (AWS, GCP, or Azure ...

time-series and/or data-focused packages Excellent written and verbal communication skills Data Manipulation & Analysis Strong hands-on experience with: Pandas and NumPy (Polars is a plus) Proven skills in: Data cleaning and preprocessing Handling missing values Grouping, merging, pivoting, and aggregations Working with SQL for data access ...

insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. Knowledge ...

with clear opportunities to contribute to systems that will define the firm’s next decade. What We’re Looking For Strong Python skills (pandas, NumPy, SQLAlchemy, etc.) Experience working in business-facing engineering roles Background in automating workflows, building internal tools, or integrating data-driven systems Knowledge of mortgages, fixed ...

with clear opportunities to contribute to systems that will define the firm’s next decade. What We’re Looking For Strong Python skills (pandas, NumPy, SQLAlchemy, etc.) Experience working in business-facing engineering roles Background in automating workflows, building internal tools, or integrating data-driven systems Knowledge of mortgages, fixed ...

SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data ...

Data Analyst Expert proficiency in SQL for querying, aggregating, and analyzing large datasets. Strong programming skills in Python (including libraries like Pandas, NumPy) for data manipulation and statistical analysis. Proven experience working with and processing large-scale, complex datasets stored in Hadoop or similar distributed file systems/data lakes. ...

through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud). You have a deep understanding of data models, relational ...

within Investment Banking - Mandatory. We will not consider candidates without this experience. Strong Data Engineering and Data analysis experience, with strong knowledge of Pandas, NumPy, and visualisation tools. Strong Python programming experience, with good experience building and maintaining Data Pipelines. Good knowledge of Fixed Income products. Strong experience in statistical ...

unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring ...

unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring ...

unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring ...

data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have ...

machine learning, working with a talented team delivering important advances for a large government department. Essential Skills and Experience Needed: Python (applied ML) : pandas, numpy, Jupyter, strong scripting and reusable code ML frameworks : PyTorch and or TensorFlow (plus scikit-learn) Data exploration & quality : EDA, visualisation (matplotlib/plotly), dataset profiling ...

Ensure data quality, governance, and lineage tracking throughout the project. Required Skills ETL/ELT pipeline design and data validation frameworks. Advanced Python (pandas, numpy, boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings, and semantic ...

Ensure data quality, governance, and lineage tracking throughout the project. Required Skills ETL/ELT pipeline design and data validation frameworks. Advanced Python (pandas, numpy, boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings, and semantic ...

learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability ...

learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability ...

learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability ...

learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability ...

learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability ...