4 of 4 Remote Predictive Analytics Jobs in Berkshire

and back-end systems, ensuring seamless integration between components and optimal performance across the technology stack. Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to Centrica's position at the forefront of the energy industry. Cross-functional Collaboration: Work closely … languages and technologies, with a strong emphasis on AI engineering, while having less focus on robotics. Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and research, rather than a product More ❯

for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components … or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time More ❯

within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript More ❯

ServiceNow, ensuring alignment with enterprise architecture principles and best practices AIOps Implementation - Design and deploy AIOps-driven capabilities within ServiceNow, utilizing machine learning and automation to improve incident management, predictive analytics, and operational efficiency Solution Design & Road mapping - Create detailed architectural designs, technical specifications, and roadmaps for ITSM modules (Incident, Problem, Change, Request, CMDB, Event Management, Operations Management … ITBM, CSM, SecOps), platform capabilities, integrations, and best practices Extensive knowledge of ITIL v3/v4 frameworks and their application within ServiceNow Understanding of AIOps concepts, including machine learning, predictive analytics, and automation Exceptional leadership, communication, and people skills, with the ability to influence stakeholders at all levels Ability to translate complex technical concepts into clear, concise, and More ❯