26 to 45 of 45 Feature Engineering Jobs in the UK excluding London

have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs ...

client is a leading global investment bank. JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III DevOps/AWS Engineer at our client within the Commercial & Investment Bank, particularly in the Payments … quality production code; review and debug code written by others to ensure reliability, performance, and maintainability. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause ...

models (not just consuming APIs) A solid understanding of model evaluation and validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with ...

models (not just consuming APIs) A solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with ...

analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you'll influence architecture, engineering approaches and the delivery of high-impact data capabilities. What You'll Be Doing Designing and developing modern data platforms and pipelines Building scalable … across data services Working closely with clients and multidisciplinary teams to solve complex data challenges What We're Looking For Commercial experience delivering Data Engineering solutions Strong Python and SQL skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines ...

Azure, or Google Cloud. ✔️ Collaborate with cross-functional teams to define AI project goals. ✔️ Translate complex data insights into actionable business recommendations. ✔️ Perform feature engineering and data preprocessing. ✔️ Maintain clear documentation of models, datasets, and experiments. ✔️ Develop APIs for model integration with front-end systems. ✔️ Conduct peer code ...

help build and run production-ready ML systems that make a real impact across the business. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career. You’ll make an impact by: Office location – London … Horsham, 3 days a week. Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow. Productionise Data Science models, converting notebooks into modular, tested, production-ready code. Deploy models into batch and real-time environments, managing versioning, promotion, rollback ...

related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders. Experience evaluating new datasets ...

working with large-scale customer, transactional, behavioural, or marketing datasets Understanding of machine learning techniques and analytical product development Knowledge of data modelling and feature engineering principles Ability to communicate complex analytical concepts to non-technical audiences Experience working directly with clients or customer-facing stakeholders Strong problem ...

machine learning models that drive pricing, personalization and customer experience, delivering measurable business value. You’ll work end-to-end from data exploration and feature engineering to model development and deployment, using Python, PySpark, SQL and Azure Databricks, and communicate insights to both technical and business stakeholders. #J ...

doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring frameworks and performance dashboards Explore new data sources, challenger models and A/B testing to improve ...

typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work. Your … deployments. Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation. Actively define and evolve PA’s data engineering standards and practices, ensuring we maintain a shared, modern and robust approach. Lead and influence technical discussions with client stakeholders to achieve the collective ...

Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks and performance dashboards Drive innovation through new data sources, challenger models and experimentation (A/ ...

Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks and performance dashboards Drive innovation through new data sources, challenger models and experimentation (A/ ...

cloud-native data platforms.Google Cloud Expertise including: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, Cloud Storage, Vertex AI, Cloud Composer, SpannerKnowledge Graph & Semantic ModellingData Engineering: ETL/ELT pipelines, Real-time streaming architectures, Event-driven platforms, Data observability and governanceAI & Data Intelligence: RAG architectures, Vector databases, Embedding frameworks, Semantic … search, Feature engineering, AI-ready data platformsTelecom Domain ExperienceNice-to-Have QualificationsExperience with Digital Twin platformsExperience with Knowledge Graph implementationsData Mesh architecturesLangChain, LangGraph and LlamaIndexVertex AI and GeminiVector databases (Pinecone, Weaviate, Milvus, Qdrant)Kubernetes and GKEAutonomous Network and AI-Ops programmesIf you're excited about this role ...

lifetime value Use experimentation, analytics and owner feedback to drive decision-making Improve service delivery across Forge platforms, integrations and ecosystems Partner with Product, Engineering, Data Science, Commercial and Customer Success teams Identify opportunities to create scalable, revenue-generating managed services Monitor service quality, adoption and owner experience performance … expertise Experience building and scaling service-based, marketplace or B2B2C products Strong commercial acumen and data-driven decision-making skills Experience working closely with Engineering, Data and cross-functional teams Excellent stakeholder management, communication and influencing skills Understanding of APIs, integrations and service-based architectures Experience using AI-powered ...

data meets required quality criteria, highlighting gaps and proposing solutions. Test agreed new data sources including internal customer data and external data, factors and feature engineering to enhance model predictiveness. Support more junior analysts in model building, analysis and data work. Work arrangements: At AXA we work smart ...

developing and implementing machine learning models Programming skills in languages, tools and frameworks commonly used in data science Experience in data preprocessing and feature engineering Computer science skills to support the overall development of the data science service UK Driving Licence You’re comfortable working well in teams ...

London Stock Exchange Group is seeking a Senior Lead ML Engineer to provide technical leadership across the ML lifecycle, from data ingestion and feature engineering to production deployment and monitoring. The role focuses on building scalable, low-latency ML systems and establishing robust governance and MLOps practices. ...

with Data Scientists and engineers to shape the ML roadmap, build scalable pipelines, and drive innovation while growing your career. You’ll contribute across feature engineering, model training, scoring, deployment, and monitoring in a hybrid London/Horsham environment with a strong bias toward reliable, observable systems ...