Portsmouth, Hampshire, South East, United Kingdom Hybrid / WFH Options
Digital Appointments
e.g., Jenkins, GitHub Actions, GitLab CI). - Hands-on experience with Azure cloud services, including deployment and management. - Familiarity with RESTful APIs, database systems (SQL/NoSQL), and version control tools (Git). - Proven ability to design scalable and maintainable solutions. - Excellent problem-solving skills and attention to detail. - Strong more »
application support, preferably in the logistics or supply chain industry. Knowledge of software such as WMS, TMS, or ERP systems. Strong understanding of databases (SQL), operating systems, and monitoring tools. Familiarity with ITIL practices for incident and change management. Excellent communication skills and the ability to collaborate effectively across departments. more »
Portsmouth, Cosham, Hampshire, United Kingdom Hybrid / WFH Options
Dynamite Recruitment
Leading high-performance teams and provide advise on collection strategies to improve the teams performance The Ideal Candidate: Previous experience within credit risk management SQL & PowerBI experience – essential Previously worked within financial services or leasing industry Benefits: Competitive salary Hybrid working Generous pension Much more! Please contact Zoe Jones at more »
City Of Portsmouth, England, United Kingdom Hybrid / WFH Options
Noir
the birth of the World Wide Web. .NET Developer applicants should have a skill set that encompasses: .NET, .NET Core/ASP.NET MVC, C#, SQL Server and Agile. Full training will be provided into: .NET 8, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, SQL Azure and SQLmore »
who can immerse themselves in the business, identifying and suggesting new data sources and innovative approaches to enhance forecasting models. Strong technical expertise in SQL, Python (including key libraries) and AWS SageMaker is essential, with flexibility to use R or other tools where suitable. Responsibilities: Forecasting Model Development: Data Management … Model Selection and Validation: Model Deployment and Maintenance: The successful Data Scientist will have Python and SQL for data analysis and machine learning. AWS SageMaker or other machine learning platforms. Ability to think strategically, suggest innovative data sources, and drive new ideas. Scenario-based modelling and complex 'what if' analysis. more »
