16 of 16 Validation Jobs in Northamptonshire

ensuring data quality in analytics platforms. Certifications in automation testing – e.g., ISTQB, Selenium, or Azure Data Factory testing certifications that demonstrate expertise in automated validation of data workflows. Experience in identifying, researching, and analysing emerging testing trends and technologies – e.g., exploring AI-assisted test automation, data quality monitoring tools ...

implementation and rollout of Sage across the business, working closely with internal stakeholders and external vendors. Assist in data migration activities — cleansing, mapping, validation, and import from legacy systems into Sage. Provide technical and user support, troubleshooting issues during implementation and post-go-live. Work with IT and Finance teams ...

ensuring compliance and operational efficiency. Conduct gap analysis and recommend process improvements or system enhancements. Oversee and perform data migration activities, including data mapping, validation, and reconciliation. Develop and lead testing strategy: SIT, UAT, regression testing, parallel payroll testing, and issue resolution. Client Management & Advisory Serve as the primary point ...

Build and optimise data pipelines using Databricks Collaborate on data architecture and strategy Deliver large-scale workflows for ingestion, transformation, and validation Implement best practices for data quality and governance Lead and coach a team of Data Engineers What We're Looking For Significant experience with Databricks (including Unity Catalog ...

generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research ...

renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. Responsibilities Perform offensive technical cybersecurity engagements of multiple nature. Interface with clients ...

build and deployment of scalable, high-impact systems. You will play a pivotal role in guiding project teams through solution design, build execution, client validation, and final delivery. You will engage with clients throughout the sales, design and build phase, provide subject matter expertise, and ensure quality, scalable architecture ...

Workday. Analyse customers' Workday environments to understand data structures, configurations, and dependencies for integration into Remote's systems. Manage the data extraction, transformation, and validation processes between Workday and Remote's Global Payroll platform. Partner closely with customers' HRIS, Payroll, and IT teams to align HCM-to-Payroll data flows ...

requirements and translate them into functional designs Conduct system testing (SIT/UAT), resolve defects, and ensure quality deployment Support data migration activities and validation Prepare configuration documentation and release notes Provide functional support during go-live and stabilisation Assist with quarterly SF release testing and updates Train HR/ ...

requirements and translate them into functional designs Conduct system testing (SIT/UAT), resolve defects, and ensure quality deployment Support data migration activities and validation Prepare configuration documentation and release notes Provide functional support during go-live and stabilisation Assist with quarterly SF release testing and updates Train HR/ ...

closely with the Architecture, RTL, DFT and manufacturing teams to ensure right first time high-volume silicon production. Youll undertake Timing Constraint development and validation; Block and chip level STA, implementation of SDC constraints as well as implanting solutions for STA and supporting IP and chip level integration. To find ...

applied data scientist. Degree in Software Engineering, Computer Science, or a related discipline. Advanced proficiency in Python programming and debugging. Strong skills in testing, validation, and optimization of code. Excellent attention to detail and technical documentation. Application Process (Takes 20 min) Upload resume AI interview based on your resume ...

experience working with enterprise-scale platforms or manufacturing workflows (preferred) Strong communication skills and stakeholder management are key priorities. Proven experience in User Story Validation and Design. Solid background in documentation and maintaining clear technical records. Demonstrated experience working in AWS development environments. Location: Candidates must be able to work ...

based Systems Engineering subject matter expertise and domain experience to through the formalised application of modelling to support system requirements, design, analysis , verification and validation activities Understanding and modelling the customer and user needs of the product system and how this will influence and impact design activities, technical and operational ...

Proven expertise in optimizing systems for large transaction volumes, handling concurrency, idempotency, and performance under load. API Development: Skilled in building APIs, including input validation, JWT tokens, and ensuring security & scalability through queue-based systems. Experience: at least 4 years of experience as a Software Engineer foo. ...

both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time. Collaborate cross … machine learning role, with demonstrated success in MLOps and deploying models to production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. Strong Python programming skills ...