5 of 5 Machine Learning Jobs in Swindon

technical expertise to solve real-world challenges. You'll work closely with SRE, Security, Networking, Platform Engineering, and Data Science teams to evolve our observability strategy using AI/ML and cloud-native technologies. Key Responsibilities · Architect and optimize observability environments through software engineering best practices. · Build automation scripts and tools to streamline observability instrumentation and deployment. · Integrate observability into More ❯

and data-led transformation. Desirable Experience Experience migrating from traditional databases to data lake architecture. Background in Utilities or Financial Services. Exposure to SAP or DM9 environments. Knowledge of machine learning techniques relevant to credit risk. Location: Hybrid - Walnut Court - SN2 8BN.Hours: 36 hours per week, Monday to Friday. What’s in it for you? Competitive starting salary More ❯

implementing capabilities including (but not limited to): Omni-channel – "Queuing, routing, and experience", Softphone, Voice Authentication, Desktop Process Automation and Analytics, Speech Analytics, Call Recording, Workforce Management, AI/ML, Chatbots etc. Experience integrating contact center applications with other SaaS cloud solution (like Salesforce, ServiceNow, MS Dynamics, etc.). Technically hands-on experience with setting up pilots and POC for More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯