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In this role, you'll be responsible for designing, developing, and maintaining scalable AI systems using machine learning and data-driven approaches. You'll integrate ML models into production-ready AI solutions while collaborating closely with data scientists, software engineers, and product teams. Monitor and optimise model performance, contribute to AI architecture and deployment, and stay current with the latest AI/ML research and technologies.
To streamline the deployment, monitoring, and maintenance of machine learning models in production. Your role will be pivotal in ensuring the scalability, reliability, and efficiency of Machine Learning applications, including adapting modular deep learning models to meet evolving business needs.Proficiency in Python, model governance, serving, and monitoring, along with familiarity with automated data pipeline tools, will be highly advantageous.
The ideal candidate will have a strong background in data analysis, machine learning, and data visualization using tools like Python, Power BI, and Tableau. The role involves developing and deploying machine learning models, applying predictive and prescriptive analytics, and creating data-driven insights to address business challenges
The role involves analyzing business needs and translating them into functional solutions to deploy machine learning models and optimize their performance.Candidates should have experience in data science, strong problem-solving skills, and the ability to work effectively in cross-functional teams.
Are you ready to lead the next wave of digital transformation? We are seeking a dynamic AI Solutions Manager to drive innovative, AI-powered projects and applications that will shape the future of our community.
We're seeking a technically strong and hands-on engineering leader to drive AI and digital initiatives within a fast-evolving enterprise environment. This role is ideal for someone with a solid background in application development, a passion for AI innovation, and a proven ability to lead and scale engineering teams.
The AI Ops Engineer will play a crucial role in ensuring the smooth operation of AI systems within the financial services industry. This position requires a proactive approach to system optimisation and problem-solving in a fast-paced environment.
We're hiring a hands-on AI Solutions Lead to build and integrate real-world AI solutions across the business. This role is about delivery, turning the potential of tools like ChatGPT Enterprise into tangible value through automation, augmentation, and intelligent workflows.
You'll focus on building, deploying, and scaling agentic AI systems-autonomous, goal-driven AI agents that augment decision-making, automate complex workflows, and deliver actionable insights across our risk & compliance platforms.
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