1 to 25 of 131 Feature Engineering Jobs in England

Predictive Analytics to join NTT DATA UK’s Data Practice. You will contribute hands-on across the model development lifecycle, from data understanding and feature engineering through to model training, evaluation, deployment support and ongoing improvement. Experience with Generative/Agentic AI, LLMs and AI-enabled products … classification, recommendation, optimisation, clustering and anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Compare model approaches, select appropriate metrics and explain technical trade-offs clearly. Build reusable notebooks, scripts ...

delivering innovative analytical products that improve the efficiency, scalability and quality of Reward's insight capability Operating at the intersection of Insight Solutions, Analytical Engineering, Data Engineering, Software Engineering and Data Product, the role rapidly develops proof-of-concept applications, automation and configurable analytical solutions that solve … problems Successful solutions are embedded within the Insight team to deliver immediate value before being transitioned into long-term business platforms through collaboration with Engineering and Product teams The Consumer Insights Tech Lead combines strong engineering expertise with commercial understanding to accelerate innovation, reduce manual effort, standardise analytical ...

transformation programmes? Technology & Transformation helps organisations unlock the full value of their data through modern platforms, cloud technologies, and AI. Within Deloitte's Engineering, AI & Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics … trusted foundations that power intelligent decision‐making. We're looking for practitioners with a passion for building scalable, high-performance data platforms, strong data engineering fundamentals, and hands‐on experience across modern cloud and data ecosystem. Connect to your career at Deloitte Deloitte drives progress. Using our vast range ...

solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME‐level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...

Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment, A/B testing, and performance monitoring Partner with Engineering, Product, Business, and Finance stakeholders to define technical requirements … requirements into executable milestones Provide technical guidance to junior data scientists and analysts Requirements 5+ years of applied experience in Data Science or ML Engineering Track record of delivering production-ready models that drive measurable business value Strong expertise in Python and SQL Deep familiarity with pandas, NumPy, scikit ...

workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands-on work with model architectures, feature engineering, model optimisation, performance debugging, schema-aligned data preparation, and ML-driven interfaces. This is a role for engineers who want to build real models, ship … real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise ...

/Delta Lake) to the SageMaker-based "golden template" architecture, working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering pipelines, feature store integrations, and data access layers (S3, Glue, Lake Formation) supporting migrated models Implement parity and statistical testing … Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data ...

/Delta Lake) to the SageMaker-based "golden template" architecture, working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering pipelines, feature store integrations, and data access layers (S3, Glue, Lake Formation) supporting migrated models Implement parity and statistical testing … Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data ...

/Delta Lake) to the SageMaker-based "golden template" architecture, working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering pipelines, feature store integrations, and data access layers (S3, Glue, Lake Formation) supporting migrated models Implement parity and statistical testing … Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data ...

taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization … inference, experimentation, monitoring, and continuous improvement. Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems. Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical ...

personalisation and recommendation systems. Develop solutions covering: Recommendation Engines Ranking Algorithms User Segmentation Content Analysis Evaluate and improve model accuracy, performance, and scalability. Data Engineering & Feature Development Develop and maintain scalable data pipelines to support model training and feature engineering. Work with structured and unstructured datasets … tests and offline experiments. Measure model effectiveness and user outcomes. Use insights to drive ongoing optimisation and product improvements. Collaboration & Innovation Partner with Product, Engineering, Data Science, and Business teams to align machine learning initiatives with strategic goals. Stay up to date with emerging developments in machine learning, deep ...

surface risks automatically, so validation keeps pace with how fast first-line teams ship.The scope spans the full model lifecycle: data integrity and feature engineering, conceptual soundness, deployment design across Docker, Jenkins, and AWS, and the monitoring and drift detection that keeps a model honest after launch.What … sensitive metrics, and fraud capture rate — and weigh each against its real business trade-off.You'll review transaction datasets exceeding 100 million records and feature pipelines with hundreds of features for representativeness, leakage risk, and bias.You'll evaluate drift detection, retraining strategies, and production monitoring practices to confirm they ...

solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions. Develop robust testing and validation … services. Defines security procedures to be followed, and delegates tasks at the appropriate level. Skills & Experience Required: University degree in computer science or software engineering and/or 5+ years equivalent work experience within a cloud environment. Strong Programming Skills: Proficiency in programming languages such as Python, C# ...

science tools. Work closely with the Senior Data Architect and Development Team to ensure seamless integration of analytics reporting and models. Data Wrangling, EDA & Feature Engineering: Ensure the quality of data used for model development through meticulous data checking and cleaning practices. Process and transform raw, unstructured data … with demonstrable data science experience. Experience in the fundamentals of data science, including but not limited to: Data visualisation Exploratory Data Analysis Data Wrangling Feature Engineering Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled in advanced ...

science tools. Work closely with the Senior Data Architect and Development Team to ensure seamless integration of analytics reporting and models. Data Wrangling, EDA & Feature Engineering: Ensure the quality of data used for model development through meticulous data checking and cleaning practices. Process and transform raw, unstructured data … with demonstrable data science experience. Experience in the fundamentals of data science, including but not limited to: Data visualisation Exploratory Data Analysis Data Wrangling Feature Engineering Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled in advanced ...

machine learning models at scale that create measurable impact for the business Own the end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance Shape technical direction for your area, making well-reasoned architectural and modelling decisions that … open-source data libraries such as Pandas, NumPy and Scikit-learn A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker ...

help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Data Engineer to join our Engineering team. This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure, operations, and security. Fueled … with a significant impact on the company’s growth. What you’ll do Shape the architecture of data products designed for: data analytics forecasting feature engineering customer behavior analysis integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization data governance consistent ...

bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior insights integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization governance consistent reliable … Explore open-source tools Engage with the broader tech community Help keep Prima at the cutting edge What we’re looking for Software & Data Engineering Strong expertise in Python Passion for writing: clean reliable production-grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data ...

full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do.**What … development and deployment of machine learning models and analytical solutions**, from data exploration through to production.- **Making day-to-day technical decisions** on feature engineering, model selection, analytical techniques and data requirements within agreed team standards.- **Resolving technical challenges** during model development and deployment, seeking guidance from ...

full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do. **What … development and deployment of machine learning models and analytical solutions, from data exploration through to production. - **Making day-to-day technical decisions** on feature engineering, model selection, analytical techniques and data requirements within agreed team standards. - **Resolving technical challenges** during model development and deployment, seeking guidance from ...

publicly available data sources. Role/Responsibilities Perform rigorous and innovative research to discover systematic anomalies in global macro markets (futures, FX, etc.) Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in mid frequency trading space Perform feature combination … improve portfolio trading in a production environment Contribute to the analysis framework for scalable research Requirements Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics 2-6 years of signal research experience in macro trading as part of a trading team Specialization in swaps, fixed ...

United KingdomApply Job### Job DescriptionAbout the role:Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base.How we work … securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product.What do you need?\* Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts ...

Terraform) London About the Role As a CBRE Systems Engineer Principal -AI & CLoud Engineer, you will be an embedded technical expert within the Cloud Engineering & FinOps team, working alongside fellow FinOps engineers to build, maintain, and continuously improve the data and AI/ML capabilities that power CBRE … cloud cost management practice. You bring deep, hands‐on expertise in data engineering and AI/ML, and you apply that expertise directly to FinOps problems - building the pipelines, models, and analytical tools that the team depends on every day. This role is a principal-level individual contributor. ...

experimenting with new estimators, models, and features to boost payment performance across our merchants portfolio. You will work closely with Data Scientists, Product, and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. Key Responsibilities Contribute … other Data Scientists and engineers to productionise ML features, models, and evolve our evaluation and monitoring frameworks. Write high‐quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical ...

work alongside a talented group of engineers and scientists supporting the industrialisation of Li-ion batteries and cells. Reporting to the Head of Product Engineering this position will support the capture and analysis of data generated from the production and test of UKBIC baseline and customer products. The purpose … quality data across its facilities and is developing the associated data pipelines into Siemens Insights Hub. This role will act as the Product Engineering owner and internal customer for analytics capability development, working closely with the Data Engineer and Manufacturing Systems Integration Engineer to define data structures, traceability requirements ...