type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for More ❯
type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for More ❯
london (city of london), south east england, united kingdom
Cerberus Capital Management
type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
ST Global Tech LLC
object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable More ❯
bradford, yorkshire and the humber, united kingdom Hybrid / WFH Options
ST Global Tech LLC
object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable More ❯
a seasoned mid-level Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures, you'd fit right in. More ❯
a seasoned mid-level Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures, you'd fit right in. More ❯
london (city of london), south east england, united kingdom
numi
a seasoned mid-level Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures, you'd fit right in. More ❯
with direct experience in ArgoCD. Proficient in Python to: Design and develop in Python, using libraries such as Pandas to parse, transform, normalize, and manage complex datasets. Panda or Polars or similar okay Highly Desirable: Experience with AWS EKS (Elastic Kubernetes Service). Knowledge of the build and deployment processes for .NET and React applications. Familiarity with security best practices More ❯
with direct experience in ArgoCD. Proficient in Python to: Design and develop in Python, using libraries such as Pandas to parse, transform, normalize, and manage complex datasets. Panda or Polars or similar okay Highly Desirable: Experience with AWS EKS (Elastic Kubernetes Service). Knowledge of the build and deployment processes for .NET and React applications. Familiarity with security best practices More ❯
with direct experience in ArgoCD. Proficient in Python to: Design and develop in Python, using libraries such as Pandas to parse, transform, normalize, and manage complex datasets. Panda or Polars or similar okay Highly Desirable: Experience with AWS EKS (Elastic Kubernetes Service). Knowledge of the build and deployment processes for .NET and React applications. Familiarity with security best practices More ❯
evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for More ❯
evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for More ❯
london (city of london), south east england, united kingdom
Cerberus Capital Management
evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for More ❯
this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for the firm. More ❯
this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for the firm. More ❯
london (city of london), south east england, united kingdom
Paragon Alpha - Hedge Fund Talent Business
this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for the firm. More ❯
object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable More ❯
object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable More ❯
object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable More ❯
classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit More ❯
london (city of london), south east england, united kingdom
Ubique Systems
object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable More ❯
classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit More ❯
classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit More ❯
london (city of london), south east england, united kingdom
iXceed Solutions
classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit More ❯
