7 of 7 Feature Engineering Jobs in the South East

Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing … that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity ...

committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed … multi-scale image resolutions. The work may also involve applying topological data analysis (TDA) to assist with the design, construction and deployment of new feature engineering and optimisation strategies for the machine-learning (ML) modelling of cellular data. More generally, this role offers a great opportunity ...

practices across the function Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling Own end-to-end model development including feature engineering, validation, deployment, and monitoring Partner with Engineering and Product teams to build scalable, production-ready data science solutions Translate analytical outputs ...

Build and maintain scalable data science products, including predictive models, forecasting solutions, segmentation, recommendation engines and experimentation frameworks that support business decision-making. Data Engineering & Model Productionisation: Develop robust analytical datasets and machine learning pipelines using Databricks, Python, SQL and Spark, ensuring solutions are scalable, reliable and production-ready. … learning workflows using Databricks, Spark or similar large‐scale data processing technologies. Machine Learning & Statistical Expertise: Deep understanding of supervised and unsupervised machine learning, feature engineering, model evaluation, experimentation and performance monitoring techniques. Retail & Commercial Analytics: Experience applying data science in retail, consumer, grocery, apparel or other high ...

Europe (Remote), Europe (Remote), United Kingdom Contract Location: Brighton (Hybrid)/Europe (Remote) About Attercop Attercop is a knowledge engineering and agentic AI company built specifically for private equity and professional services. We turn fragmented, hard to use information into structured intelligence and deploy autonomous AI agents that make … transformation. Role Overview You’ll design, build, and integrate advanced AI models into real software systems. This role sits at the intersection of software engineering, data science, and MLOps,turning research into robust, scalable, production-ready AI services. Core Responsibilities Build functional AI services from architectural designs Orchestrate data ...

data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing up toolchains … need to understand how data, models, and trading systems interact. You can work productively with quants and understand what they need from the engineering side. You are senior enough to take ownership. CTO wants people he can hand large initiatives to and trust the output. 6 to 15+ years ...

uplift modelling capabilities across the team. Key Skills (Essential): To excel in this role, you should possess: Python Expertise: Strong experience in model development, feature engineering, and statistical modelling. SQL Proficiency: Confident in extracting and transforming large datasets effectively. Credit-Risk Modelling Experience: Proven track record in building ...