Ssc Recruitment Solutions Ltd

In this role you will be a key member of the finance team charged with the production of management reporting, forecasts and budget, along with being a senior within operational finance. Key Responsibilities Responsibilities / duties will include, but may not be limited to: Financial Reporting Deliver timely and accurate management accounts including key commentary on variances to budget, prior year and forecast. Develop analysis on the performance of the business across various financial and non financial KPIs. Budgets and Forecasts Prepare budgets and forecasts for the division built on key drivers for the business. Prepare financial modelling, including sensitivity analysis. Operational Finance Ensure delegation of authority is adhered to and authority workflows are set up correctly. Oversee the payment run process, including first approval in the bank. Business Systems & Process Ownership Support with optimisation of business systems including ERP, finance software, and integrated tools. Governance & Compliance Team Development Skills, Knowledge & Expertise Qualified accountant (ACA, ACCA, CIMA or equivalent) with broad experience across operational finance, Management accounts and F,P&A. Experience with IFRS15 revenue recognition and project accounting. Technical skills in IFRS and UK GAAP and UK tax legislation Knowledge of ERP systems and financial software platforms (e.g., Business Central, Power BI, Dynamics). Excellent communication skills, with the ability to collaborate with stakeholders across levels and geographies. Exposure to Business Central and Power BI.

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project. Required Skills, Knowledge and Expertise You will have relevant academic (research Masters level) and/or industry experience. Excellent knowledge and experience of managing an on-premise Kubenetes cluster. Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to work with human motion, sport, animation tools and techniques. Familiarity with C++.