4 of 4 Benchmarking Jobs in Yorkshire

Lead Data Analyst

Hiring Organisation
Thirteen Group
Location
Middlesbrough, England, United Kingdom
analytics and predictive insight models to identify opportunities early and support more preventative, proactive service delivery. Drive the development and monitoring of dashboards, KPIs, benchmarking, and performance frameworks to provide clear, actionable insight. Analyse and interpreting data to build a deeper understanding of customer and community needs, service performance ...

Salesforce Product Manager

Hiring Organisation
Akkodis
Location
Sheffield, South Yorkshire, United Kingdom
Employment Type
Permanent
Salary
£70000 - £80000/annum
requirements, including epics, user stories, acceptance criteria, and success measures, ensuring delivery teams have a shared understanding of expected outcomes. Conduct market research, industry benchmarking, and competitive analysis to identify emerging trends, opportunities, and risks relevant to the Salesforce product landscape. Partner closely with development and delivery teams to ensure ...

Ai Engineer

Hiring Organisation
Morgan McKinley
Location
Yorkshire and Humberside, England, United Kingdom
Employment Type
Full-Time
Salary
Salary negotiable
Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards ...

Lead AI Engineer

Hiring Organisation
Morgan McKinley
Location
Yorkshire and Humberside, England, United Kingdom
Employment Type
Full-Time
Salary
Salary negotiable
Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards ...