26 to 50 of 95 AI Jobs in Dorset

Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will … HITL) controls. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring.Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics.Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows ...

Title: AI/ML Engineer Designation: Data Scientist Job Summary: We are seeking a skilled AI/ML Engineer with a strong foundation in Artificial Intelligence and Machine Learning (AIML) and software development. The ideal candidate will be proficient in Python and have hands-on experience with Generative AI … effective communication skills to contribute to our quality assurance solutions. Responsibilities: Develop and implement AIML solutions focused on enhancing software testing processes. Utilize Generative AI and Retrieval Augmented Generation techniques to improve testing efficiency and accuracy. Work with Large Language Models (e.g., GPT, Claude) to create and optimize AIML applications. ...

recognised certifications (exam voucher and exam resit support included): Microsoft Power BI Data Analyst (PL-300) Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated ...

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 (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.)Experience with coding assistants and development harnesses to streamline software delivery.Hands-on experience using enterprise-authorized AI-assisted software development ...

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 (e.g., code generation/refactoring, unit test creation, documentation), while validating … methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with coding assistants and development harnesses to streamline software delivery. Hands-on experience using enterprise-authorized AI-assisted software ...

best practices (access controls, secrets management, lineage/metadata, auditing). Create clear documentation for pipelines, data contracts, and operational runbooks. 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 automation Required qualifications, skills and capabilities Experience with building data pipelines on Databricks ...

maintain consistency Manage project delivery, ensuring timelines, quality, and stakeholder satisfaction while identifying and mitigating technical risks 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. Required qualifications, capabilities, and skills Formal training or certification on Software Engineering concepts ...

technical problems and deliver scalable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems Leverage 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 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 Produce architecture and design artifacts for complex applications while ensuring design constraints ...

draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application developmentLeverages 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.)Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essentialPreferred qualifications, capabilities, and skillsExposure to cloud technologies and building ...

Days onsite must (Bournemouth) Rate: 260 GBP/day (Inside IR-35). No sponsorship provided. Role Overview We are seeking an experienced AI-Enabled Payments Test Automation Engineer to join a high-performing payments technology team. The successful candidate will be responsible for designing, developing, and executing automated test … solutions across complex payment platforms while leveraging AI-driven testing practices to improve quality, efficiency, and release confidence. The ideal candidate will possess strong expertise in t est automation, payments domain knowledge, JavaScript-based automation frameworks, and modern software testing methodologies, with experience testing payment systems supporting SEPA, BACS, SWIFT ...

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 ...