1 to 25 of 35 Permanent Feature Engineering Jobs in the UK excluding London

/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 ...

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 ...

OVERVIEW:This role exists to provide technical leadership within the data engineering team, setting the standard for engineering excellence while remaining deeply hands-on. The Lead Data Engineer drives the design and delivery of scalable, resilient data platforms and pipelines that underpin Gymshark's ambition … Technical Leadership: Own and drive the technical design and architecture of data pipelines, data models, and platform components across the team. Set and enforce engineering standards: code quality, testing, observability, security, and documentation, ensuring the whole team operates to them Lead technical discovery, design sessions, and code reviews, providing ...

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 ...

across health and safety, sustainability and ethical behaviour. As a Data Scientist, you'll join a growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications … Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely with Engineering and Product teams in a collaborative Agile environment, turning complex data and technology into solutions that deliver tangible business value. The role will include ...

across health and safety, sustainability and ethical behaviour. As a Data Scientist, you'll join a growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications … Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely with Engineering and Product teams in a collaborative Agile environment, turning complex data and technology into solutions that deliver tangible business value. The role will include ...

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 ...

high-scale production systems. You will partner closely with the Head of Data Science to harden existing production models, build reliable data and feature pipelines, and own the full MLOps lifecycle from deployment through to monitoring, incident response and continuous improvement. Alongside delivery, you will establish observability standards, lead … Responsibilities Scale and harden existing deep learning models from R&D into reliable, observable production systems Build and maintain reproducible pipelines for training data, feature generation and embeddings Own reliability, monitoring and incident response for ML models and agents in production, including CI/CD, versioning, canary deployment ...

complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products … uses these insights to drive improvements to coding hygiene and system architecture Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem ...

statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments and measurement approaches that reveal genuine incremental impact. Set best practice in feature engineering, validation, reproducibility and model evaluation. Work with Data Engineering to productionise high-value analytical solutions. Guide model monitoring, drift management ...

logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling ...

robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking.You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the design, development, validation and deployment support … science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams to make data science outputs scalable, maintainable and usable. Communicate ...

Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team … managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization ...

About the Role We're recruiting on behalf of a major, well-established organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with data scientists, maintenance engineers, and cross-functional stakeholders to deliver scalable … from MLflow to AWS SageMaker, maintaining continuity and minimising disruption Define and enforce MLOps best practices across model training, serving, monitoring, and deployment MLOps & Engineering Design and maintain scalable ML infrastructure supporting batch and real-time environments Oversee the implementation of robust ETL/ELT pipelines, feature engineering ...

ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions. Manage ...

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 ...

Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Job Responsibilities Design and deliver creative software solutions, including development and technical troubleshooting; think beyond conventional approaches to build solutions and break down complex technical problems. Develop secure, high … 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 ...

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 ...

machine learning solutions from exploration through deployment and ongoing performance management. Strong Python and SQL skills, including experience building maintainable data science workflows, feature engineering pipelines, experimentation frameworks, and model evaluation code for production settings. Working knowledge of GCP-based data and ML environments, preferably including BigQuery, Vertex ...

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 ...