2 of 2 Lead Architect Jobs in Avon

Lead Enterprise Architect Salary: £57,515 + digital and data allowance of up to £22,885 Multiple locations - Newcastle, Leeds, Oldham, Bristol, Swansea, Nottingham, Birmingham or Yeading - Candidates based in Yeading will receive the London Weighting allowance of £4,000 Full time, 37 hours per week Hybrid working Permanent Overview Sellick Partnership is delighted to be partnered with … the Driver and Vehicles Standards Agency (DVSA) to recruit a Lead Enterprise Architect. The ideal candidate will report to the Chief Architect you will work in a team consisting of Lead Enterprise Architects, Lead Technical Architects and Lead Solution Architects and play a pivotal role within the Architecture Management Office leading the overall direction of … and strong interpersonal skills that enable seamless collaboration with diverse stakeholders. Additionally, adept at communicating, presenting, and negotiating effectively, driving impactful change among senior decision-makers Benefits of the Lead Enterprise Architect role will include Pension contribution of 28.97% 25 days annual leave, increasing by 1 day each year of service (max 30 days), plus bank holidays Access More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation. Key Responsibilities: Data Architecture Schema & Model Ownership: Design, implement, and maintain logical … governance policies, ensuring compliance with standards such as GDPR. Performance & Scalability: Ensure data infrastructure is optimised for performance and can scale with growing data demands. Machine Learning Model Development: Lead the development of machine learning models, particularly for time-series forecasting (e.g., predicting on-site energy production). Data Preparation: Manage the transformation and preparation of datasets for model More ❯