26 to 50 of 72 AI Jobs in Bournemouth

stability of 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 … leading-edge technologies 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, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable ...

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 … controls, and end-to-end 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 ...

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 ...

modern technologies Collaborate effectively as part of a global team Provide out of hours application support and coordinate of Production releases 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 … validating outputs through peer review, automated testing, and secure coding standards.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 automationRequired qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient ...

customers through continuous communicationUnderstand software delivery lifecycle and have skills in industry standard methodologies and related tasksPreferred qualifications, capabilities, and skillsCapability to leverage artificial intelligence and AI tools to enhance data analysis, uncover business trends, and provide actionable insights for strategic decision-makingProficiency in implementing automation solutions to streamline business ...

modern technologies Collaborate effectively as part of a global team Provide out of hours application support and coordinate of Production releases 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 … outputs through peer review, automated testing, and secure coding standards. 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 automationRequired qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient ...

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 ...

effectiveness Champion the adoption of agile methodologies and technical solutions, fostering a culture of continuous learning and innovation within the team Uses 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 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 Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling ...

debugs code written by othersDrives decisions that influence product design, application functionality, and technical operations and processesLeads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis, option evaluation, and delivery of strategic global solutions, with human-in-the-loop validation and appropriate handling … makers to consider the use and application of leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectEstablishes portfolio-level guardrails for AI-assisted and agentic workflows used in architecture and engineering governance, including traceability/auditability and control expectations aligned to resiliency and security standardsRequired qualifications, capabilities ...

code written by others Drives decisions that influence product design, application functionality, and technical operations and processes Leads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis, option evaluation, and delivery of strategic global solutions, with human-in-the-loop validation and appropriate … consider the use and application of leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Establishes portfolio-level guardrails for AI-assisted and agentic workflows used in architecture and engineering governance, including traceability/auditability and control expectations aligned to resiliency and security standards Required qualifications ...

insights to improve coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverage 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 … including continuous integration and delivery, application resiliency, and security practicesDemonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobileHands-on experience with Unix/Linux operating systemsHands-on experience using enterprise-authorized AI-assisted software development tools within ...

consideration of upstream and downstream systems and technical implicationsApplies technical troubleshooting to break down solutions and solve technical problems of basic complexityLeverages 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 … agile methodologies such as CI/CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging cloud technologiesLeverages 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 … standards; 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 SkillsFormal training or certification on software engineering conceptsHands ...

coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging cloud technologies 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. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts ...

build solutions or breakdown technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsLeverages 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 … standards; 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 design ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by othersDrives 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 … automated 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 operational ...

processes, methodologies, and skills for the development of secure, stable code and systemsAdds to team culture of diversity, opportunity, inclusion, and respectLeverages 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. Required qualifications, capabilities, and skillsHands-on practical experience in system design, application development ...

where 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 … preparing 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.P. Morgan is a global leader in financial services, providing strategic advice ...

/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 phone. ...

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 ...

. The successful candidate will have a strong GCP background and play a key role in cloud platform provisioning, infrastructure automation, Kubernetes engineering and AI-assisted DevOps . Key Responsibilities Design, implement and maintain cloud platform provisioning solutions, primarily across GCP , with the ability to work across AWS and Azure. … using Python and Terraform to improve infrastructure provisioning and operational processes. Implement and enhance automated deployment pipelines for cloud infrastructure and platform services. Utilise AI-assisted development tools, including GitHub Copilot and Claude Code , to improve development efficiency and code quality. Drive automation initiatives that reduce manual intervention and improve ...

opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsDrives 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 … automated 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.Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented ...

will lead Data & AI Governance across Allianz UK, shaping how data is managed, protected and leveraged as a strategic asset. This is a high-impact leadership role where you will influence enterprise-wide data maturity, regulatory compliance, and responsible AI adoption.Location: This role can be based in London, Guildford … lines insuranceDegree-level qualification (2:1 or above)Experience contributing to enterprise data strategy and maturity modelsStrong understanding of data architecture and supporting technologiesResponsible Artificial Intelligence usageWhat We Will Offer YouRecognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems 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 acceleration … 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. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes ...

break down technical problemsDevelop secure and high-quality production code, and review and debug code written by othersDrive 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 … automated testing) and promoting reuse of effective patterns across the teamApply 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 automationIdentify opportunities to eliminate or automate remediation of recurring issues to improve overall operational ...