1 to 25 of 51 Permanent Feature Engineering Jobs in the North of England

to leverage technology towards future goals. Your day-to-day responsibilities will include: Leading the UK Data Team (8 Direct reports) Collaborate with the engineering and product practices. Team management, including recruitment, onboarding, and developing top talent, ensuring that the team has the skills, resources and support needed to … and validation processes to validate model performance and mitigate risks. Leading the end-to-end process of model development, including data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning More ❯

to leverage technology towards future goals. Your day-to-day responsibilities will include: Leading the UK Data Team (8 Direct reports) Collaborate with the engineering and product practices. Team management, including recruitment, onboarding, and developing top talent, ensuring that the team has the skills, resources and support needed to … and validation processes to validate model performance and mitigate risks. Leading the end-to-end process of model development, including data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning More ❯

to leverage technology towards future goals. Your day-to-day responsibilities will include: Leading the UK Data Team (8 Direct reports) Collaborate with the engineering and product practices. Team management, including recruitment, onboarding, and developing top talent, ensuring that the team has the skills, resources and support needed to … and validation processes to validate model performance and mitigate risks. Leading the end-to-end process of model development, including data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯