51 to 65 of 65 Machine Learning Jobs in Dorset

support monthly testing cycles with custodians and brokers to ensure account readiness before go-live. You will gain exposure to Intelligent Automation tools and ML/AI concepts while working with senior decision-makers and cross-functional teams to deliver scalable data-driven improvements. #J-18808-Ljbffr ...

recommendations to senior leadership.Required Qualifications, Capabilities, and SkillsExperience in data science, analytics or a related field.Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment.Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines.Experience with A/ ...

software applications and systems Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption ...

delivers trusted technology products in a secure, stable, and scalable way. EPAS delivers Day 2 operational automation, workflow orchestration, event-driven automation, AI/ML-enabled service management, and platform tooling that support Incident, Change, Problem, Crisis, and Production Management processes across the firm. This role has a primary focus … About EPAS/Infrastructure Platforms EPAS provides process and event-driven automation, user-driven run book automation, workflow orchestration, microservice APIs, and AI/ML capabilities as part of a wider Hyper Automation offering for Infrastructure Platforms. Key product areas include Automation as a Service (AaaS), Ansible Automation Platform ...

delivers trusted technology products in a secure, stable, and scalable way. EPAS delivers Day 2 operational automation, workflow orchestration, event-driven automation, AI/ML-enabled service management, and platform tooling that support Incident, Change, Problem, Crisis, and Production Management processes across the firm. This role has a primary focus … operational stability.About EPAS/Infrastructure PlatformsEPAS provides process and event-driven automation, user-driven run book automation, workflow orchestration, microservice APIs, and AI/ML capabilities as part of a wider Hyper Automation offering for Infrastructure Platforms. Key product areas include Automation as a Service (AaaS), Ansible Automation Platform ...

team, you will leverage deep operational experience to deliver complex change across report automation, platform enhancements and migrations, and the introduction of AI/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end-to-end, strengthen controls and data quality, and ensure change … data flows.Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re-engineering.Drive adoption of intelligent automation (including AI/ML) in partnership with Technology and Data Science.Own the delivery lifecycle: requirements, impact assessment, UAT coordination, cutover planning, and stabilization.Deliver change with minimal BAU disruption, protecting data quality, controls ...

team, you will leverage deep operational experience to deliver complex change across report automation, platform enhancements and migrations, and the introduction of AI/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end-to-end, strengthen controls and data quality, and ensure change … data flows. Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re-engineering. Drive adoption of intelligent automation (including AI/ML) in partnership with Technology and Data Science. Own the delivery lifecycle: requirements, impact assessment, UAT coordination, cutover planning, and stabilization. Deliver change with minimal BAU disruption ...

leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with ...

team, you will leverage deep operational experience to deliver complex change across report automation, platform enhancements and migrations, and the introduction of AI/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end‐to‐end, strengthen controls and data quality, and ensure change … data flows. Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re‐engineering. Drive adoption of intelligent automation (including AI/ML) in partnership with Technology and Data Science. Own the delivery lifecycle: requirements, impact assessment, UAT coordination, cutover planning, and stabilization. Deliver change with minimal BAU disruption ...

staffing models, manage projects that attribute to the department’s Key Objectives, and partner with Tech for the implementation of new AI/ML projects to automate manual activities. You will be required to interact with Finance, HR, IT production and development teams, AI team, and various Operations teams within … deliverable updates for assigned stakeholders Identify opportunities for strategic improvement or mitigation of business interruption and other risks through the use of AI and ML tools Oversee project management activities and prepared monthly project status reports. Required qualifications, capabilities, and skills Experience in Business Management or Finance with an Operations ...

constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Ensure systems … correctness, predictability, and user trust Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. AI & ML experience Hands-on exposure to AI-powered products, including LLM-based systems. Proven ability ...

Kingdom. You will design, develop, and operate cloud-based applications, collaborating with architects to align with business goals and drive innovation in AI/ML technologies. You will lead engineering communities, promote secure coding practices, and advance automation across the SDLC. The role emphasizes building scalable, secure solutions, reviewing peers ...

business goals and security standards. You will collaborate with architects and engineers, optimize performance and security, and stay current with cloud and AI/ML trends while leading communities of practice to promote modern tech adoption across the team. #J-18808-Ljbffr ...

constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution … user trust What You Will Need Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. AI & ML experience Hands-on exposure ...

Command Center. You will assist the Executive Director with senior management presentations, business cases for Investment Planning, and staffing models while coordinating AI/ML automation initiatives across Finance, HR, IT, and Operations. The role involves creating dashboards and scorecards, partnering with cross-functional teams, and ensuring delivery of strategic ...