76 to 100 of 139 AI Jobs in Bournemouth

solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring ...

down technical problems Develop secure and high-quality production code, and review and debug code written by others Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Identify opportunities to eliminate or automate remediation of recurring issues to improve overall ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

engineering sub-teams focused on the delivery of epics by transforming requirements into stories and a build plan. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Provide out of hours application support and coordination of Production releases. Required qualifications ...

with peer guidance Actively applies automation to reduce manual toil in the Software Development Life Cycle Addresses basic code quality issues Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … emerging cloud technologies Required Qualifications, Capabilities, and Skills Baseline knowledge of software, applications and technical processes within a given technical discipline (e.g., cloud, artificial intelligence, etc.) Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an inclusive and innovative culture Demonstrated ability ...

skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills Hands-on practical experience in system design, application ...

business change readiness by defining and documenting new operating models. Contribute to continuous improvement of project management processes and methodologies including the use of AI tools. Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations. Uses enterprise-authorized AI capabilities within … synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements. Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards. Required qualifications, capabilities, and skills: Formal training or certification ...

Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. Reporting to ORDG’s Executive Data Owner … Product Owners and the wider RM&C community, you will ensure the governed data foundation is trusted, reusable and defensible — so that every downstream AI capability, dashboard and control across FPSP, DOGMA, LRCM and the RM&C Bulletin Tool operates on the same authoritative source of truth.Job responsibilitiesOwn the definition ...

Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. Reporting to ORDG’s Executive Data Owner … Product Owners and the wider RM&C community, you will ensure the governed data foundation is trusted, reusable and defensible — so that every downstream AI capability, dashboard and control across FPSP, DOGMA, LRCM and the RM&C Bulletin Tool operates on the same authoritative source of truth. Job responsibilities ...

efficiency and effectivenessChampion the adoption of agile methodologies and technical solutions, fostering a culture of continuous learning and innovation within the teamUses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs … handling data according to sensitivity requirementsPromotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.Required qualifications, capabilities, and skillsAbility to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.Experience or equivalent ...

brokers to test account readiness ahead of new activity going live. You will gain exposure to new Intelligent Automation tools and ML/AI experts while developing your skills and supporting senior decision makers. Job responsibilities Assist in designing, developing, and maintaining processing, analytics, visualization, and reporting solutions. Help integrate … security, and compliance best practices in financial services or similar regulated industries. A working knowledge of Python, JAVA or SQL. Exposure to machine learning, artificial intelligence, or integrating data solutions into business applications. Interest in process improvement and solving data, process, or finance challenges. #J-18808-Ljbffr ...

Regulatory Reporting 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 … 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 ...

ServiceNow platform Champion and enhance scrum practices to drive continuous improvement across team processes and delivery cadence Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration … testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

Kingdom, this role offers the chance to influence critical financial systems. You will work across the software development life cycle, develop production code, use AI-assisted tooling to improve quality and speed, ensure operational stability, and contribute to #J-18808-Ljbffr ...

Python or Node.js, and cloud platforms (AWS/Azure/GCP) with RESTful APIs and serverless patterns. Expect active participation in code reviews and AI-assisted development. #J-18808-Ljbffr ...

technology is a factor, including external incidents driven by third parties, threat actors, and technology change failure. Understand and utilise trends and toolsets within AI/LLM platforms to assist and streamline assessments in order to produce faster quality outcomes. Required qualifications, capabilities, and skills BS/BA degree … formal written documentation. Attention to detail, clear and concise writing, with ability to translate complex technical information into understandable language. Curiosity and understanding of AI/LLM’s with capability to integrate and use AI where appropriate. #J-18808-Ljbffr ...

Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. Reporting to ORDG’s Executive Data Owner … Product Owners and the wider RM&C community, you will ensure the governed data foundation is trusted, reusable and defensible — so that every downstream AI capability, dashboard and control across FPSP, DOGMA, LRCM and the RM&C Bulletin Tool operates on the same authoritative source of truth. Job responsibilities ...

/analysis of 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 … Command Centre has an exciting part to play and meet those challenges and in its own evolution of Business Activity Monitoring (BAM) and other AI tools. The Global Command Centre has a follow the sun model and may require some work to happen off-hours via remote access and mobile ...

development teams, and other stakeholders to communicate the Information Architecture vision and standards, and support effective implementation Architect metadata and language foundations that enable AI solution capabilities, including semantic consistency, provenance/lineage, policy tagging, and interoperability across engineering workflows Establish reuse-first, metadata-driven engineering patterns and governance that … support AI-enabled platforms (e.g., traceability/auditability, resiliency, and security controls) through well-defined models, DSLs, and tooling integrations Required qualifications, capabilities, and skills Create logical and physical data models and express them clearly for both technical and non-technical audiences Use UML modeling tools (for example, MagicDraw, PowerDesigner ...

strengthen risk posture and regulatory compliance.Develop and advance analytics-driven assurance approaches for risk identification, risk prioritization, mitigation planning, and control assessment.Uses enterprise-authorized AI capabilities within the work environment to accelerate synthesis of risk/control evidence and draft executive-ready reporting, validating outputs and handling data according … risk management activities, including control effectiveness assessments, reporting, and mitigation tracking, with the ability to translate technical findings into clear business impacts.Technical proficiency in AI risk governance and data security, securing platforms, applications, and business processes with understanding of AI threats, mitigations, and defense mechanisms.Demonstrated experience using enterprise-authorized AI ...

posture and regulatory compliance. Develop and advance analytics-driven assurance approaches for risk identification, risk prioritization, mitigation planning, and control assessment. Uses enterprise-authorized AI capabilities within the work environment to accelerate synthesis of risk/control evidence and draft executive-ready reporting, validating outputs and handling data according … management activities, including control effectiveness assessments, reporting, and mitigation tracking, with the ability to translate technical findings into clear business impacts. Technical proficiency in AI risk governance and data security, securing platforms, applications, and business processes with understanding of AI threats, mitigations, and defense mechanisms. Demonstrated experience using enterprise-authorized ...

architecture and design evaluations with internal partners and external vendors, assessing technical fit, security posture, and operational viability. Drives team adoption of enterprise‐authorized AI‐assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‐authorized AI‐assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills: Experience building and operating enterprise software in production ...

ServiceNow platform Champion and enhance scrum practices to drive continuous improvement across team processes and delivery cadence Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration … testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

down technical problems Develop secure and high-quality production code, and review and debug code written by others Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Identify opportunities to eliminate or automate remediation of recurring issues to improve overall ...