6 of 6 Contract Predictive Analytics Jobs in England

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯

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 ❯

driven organisation. As part of this strategic move, they're transitioning from Idea to Discovery phase and need a Data Architect to help shape the future of data governance, predictive analytics, and regulatory insight. The Opportunity: This is more than a technical role – it's about building the foundations of a modern data estate. You'll be the … ML Ops pipeline. You'll work closely with an Enterprise Architect and key stakeholders to create structure, define workstreams, and bring external data sources into the fold to support predictive regulatory analytics. Key Responsibilities: Define and implement a scalable data architecture that aligns with regulatory and business goals. Lead the implementation of a Data Catalogue and Governance Suite (e.g. … establish data ownership and governance. Enable a Data-Driven Operating Model (DDOM) – embedding data literacy and strategy across the organisation. Support the foundations of an ML Ops environment for predictive analytics and behavioural insight. Liaise confidently across all levels – from technical teams to senior leadership. About You: Proven experience as a Data Architect within a regulated environment (e.g. More ❯

from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯

from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯

their 24/7 NOC to deliver world-class network performance and reliability. Drive strategic initiatives aligned with their growth plans. Champion innovation through automation, AI/ML, and predictive analytics. Serve as the executive escalation point for major incidents and crisis management. Collaborate across engineering, service delivery, and commercial teams to ensure operational excellence. Ensure that the maturity More ❯