3 of 3 Feature Engineering Jobs in the North of England

vital component of the business, and is responsible for: Responsibilities Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection. Optimize feature engineering, model performance, and real-time inference pipelines for large-scale datasets. Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making. Leverage telematics, mobility, and … and Data Modelling Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure robustness and scalability of data science pipelines, minimizing bias and improving accuracy. Data Engineering and Infrastructure Collaborate with the rest of the Engineering team to integrate machine learning models into production-grade systems. Work with big data processing frameworks (Spark, AWS, Azure … to scale data pipelines. Ensure efficient data wrangling, transformation, and feature selection using Python, SQL, and distributed computing. Optimize data workflows and cloud-based machine learning architectures, ensuring efficiency and performance. Collaboration and Cross-Functional Partnerships Work closely with Product, Engineering, and Commercial teams to align data science initiatives with business goals. Collaborate with Software Engineers to deploy More ❯

to support real-time health assessment. Collaborate with electronics engineers to interface machine learning models with handheld and wearable sensor systems Develop pipelines for real-time data acquisition and feature extraction and evaluate model performance and system-level integration Establish rigorous data governance and pre-processing protocols to ensure data integrity, security, and compliance with healthcare standards Work closely … research findings, supporting translation into practice through collaborations, providing training and helping to secure research funding About you: PhD or equivalent industrial experience in Computer Science, Data Science, Biomedical Engineering, Applied Mathematics, or a closely related discipline with a focus on machine learning or data-driven modelling Proven expertise in developing, training, and validating machine learning and statistical models … and real-time data interpretation Demonstrated ability to integrate ML algorithms with sensor systems, or embedded hardware Proficiency in Python, MATLAB, or equivalent programming environments Experience in data curation, feature engineering, and pre-processing for multimodal healthcare or sensor datasets Strong track record of publishing research in peer-reviewed journals or writing industrial reports. Excellent communication skills, including More ❯

Mastering and deploying robust Retrieval-Augmented Generation (RAG) pipelines, integrating LLMs with complex enterprise data sources for unparalleled accuracy. - END-TO-END DELIVERY: Owning the entire solution lifecycle, from feature engineering and data mapping to scalable, production-ready deployment. - CLOUD EXCELLENCE: Working closely with Data Engineers to utilize and optimize the full potential of the [Cloud Environment] ecosystem. … familiarity with the [Specific Vendor]’s [Cloud Environment] AI and Data Stack (Azure ML, Azure OpenAI, Databricks). - SPECIALIZATION: Expertise in Vector databases (FAISS, Pinecone, Azure AI Search), Prompt Engineering, and familiarity with products like [Specific Vendor Product 1]. THE CULTURE Our client seeks curious, pragmatic problem-solvers who embody their core values: Integrity, Drive, Empathy, Adaptability, and More ❯