2 of 2 Data Analysis Jobs in the City of Westminster

as experience with machine learning frameworks such as TensorFlow or PyTorch. Candidates should also have excellent programming skills in Python and be familiar with data processing and analysis tools. Candidates should be able to work independently and collaboratively. Candidates should also have a passion for learning, innovation, and … art machine learning algorithms and techniques Design, develop, and deploy machine learning models and systems that can address various engineering problems and opportunities Perform data analysis, preprocessing, feature engineering, and model evaluation Optimize the performance, scalability, and reliability of machine learning solutions Collaborate with cross-functional teams to … learning (i.e. linear layers, activation functions, recurrence, convolution, attention). Proficiency in Python programming language Expertise in a programming language (Python preferred) Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc. Knowledge of machine learning concepts such as supervised and unsupervised learning, classification More ❯

Strategy, People Leadership, Strong high level technical knowledge in areas such as virtualization, enterprise storage, Microsoft technologies (Entra ID/Azure AD, M365), voice , data (LAN & WAN), mobility, emerging technologies, social media, and Azure cloud. Role Overview: We are seeking an experienced Director of Cloud & IT Operations to ensure … aligns with these agreements. Quality Assurance: Ensure departmental processes for IT service desk queries are effective and approve any necessary policy or process changes. Data Analysis: Analyse service delivery data to assess performance against standards, KPIs, or objectives. Corrective Actions: Initiate and lead corrective actions to align … robust technical Change Control processes complement other governance functions. Infrastructure Optimization: Ensure applications and technical infrastructure are optimized for business continuity and growth, including data archiving, system lifecycle management, and preventative maintenance. Security Management: Configure systems and infrastructure to minimize security risks and IT-related business interruptions. Supplier Management More ❯