11 of 11 Feature Engineering Jobs in Manchester

real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we want to hear from … TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance ...

maintain DBT models, macros, and tests following modular data modeling and semantic best practices. Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices … familiarity with Python for scripting and DBT automation. Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience ...

maintain DBT models, macros, and tests following modular data modeling and semantic best practices. Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices … familiarity with Python for scripting and DBT automation. Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience ...

maintain DBT models, macros, and tests following modular data modeling and semantic best practices. Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices … familiarity with Python for scripting and DBT automation. Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

solutions Use next-gen AI tools to improve iteration speed and model quality You Might Be a Fit If... 3+ years of ML engineering experience working on production systems Strong Python skills and hands-on ownership of end-to-end ML pipelines or agentic systems Comfortable with data preprocessing … feature engineering, and evaluation at scale Familiarity with LLMs or modern foundation models Experience with common ML tooling (e.g. PyTorch, TensorFlow, XGBoost, vector DBs, experiment trackers) Comfortable working across APIs, data stores, and infrastructure, not just notebooks Bias to ship, measure, and refine rather than chase perfect offline ...

solutions Use next-gen AI tools to improve iteration speed and model quality You Might Be a Fit If... 3+ years of ML engineering experience working on production systems Strong Python skills and hands-on ownership of end-to-end ML pipelines or agentic systems Comfortable with data preprocessing … feature engineering, and evaluation at scale Familiarity with LLMs or modern foundation models Experience with common ML tooling (e.g. PyTorch, TensorFlow, XGBoost, vector DBs, experiment trackers) Comfortable working across APIs, data stores, and infrastructure, not just notebooks Bias to ship, measure, and refine rather than chase perfect offline ...

agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis. Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end. Engineer and implement core parser and model components in C++ and Python to seamlessly … C++, and Python with strong debugging abilities. Solid understanding of Windows internals, including low-level OS concepts. Experience with static and dynamic analysis, reverse engineering, and real-world threat investigations. A scientific, data-driven approach to problem-solving, from ideation through experimentation and production. Strong understanding of statistical concepts ...

agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis. Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end. Engineer and implement core parser and model components in C++ and Python to seamlessly … C++, and Python with strong debugging abilities. Solid understanding of Windows internals, including low-level OS concepts. Experience with static and dynamic analysis, reverse engineering, and real-world threat investigations. A scientific, data-driven approach to problem-solving, from ideation through experimentation and production. Strong understanding of statistical concepts ...

consulting activities to ensure smooth business and engagement operations. Minimum Qualifications: Bachelor's degree or higher, with a focus on IT, Computer Science, Engineering or Math or equivalent experience Minimum of 3-5 years of work experience in Penetration Testing Proficiency in using and customizing offensive toolkits for network …/ML and cybersecurity landscapes. Experience with model interpretability and explainability tools to understand model behavior and potential biases. Experience in ML model development, feature engineering, and data pre-processing. Experience in one or more of the following programming or scripting languages (e.g., Ruby, Python, Perl, C, C++ ...

consulting activities to ensure smooth business and engagement operations. Minimum Qualifications: Bachelor's degree or higher, with a focus on IT, Computer Science, Engineering or Math or equivalent experience Minimum of 3-5 years of work experience in Penetration Testing Proficiency in using and customizing offensive toolkits for network …/ML and cybersecurity landscapes. Experience with model interpretability and explainability tools to understand model behavior and potential biases. Experience in ML model development, feature engineering, and data pre-processing. Experience in one or more of the following programming or scripting languages (e.g., Ruby, Python, Perl, C, C++ ...