Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding. Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases. Utilize pre-built AI models, AutoML solutions, and no-code/low-code platforms to develop effective and scalable machine learning applications. Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics. Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives. Select appropriate datasets and ensure data quality, relevance, completeness, and consistency for AI-driven applications. Apply data labeling techniques, augmentation strategies, and model optimization processes through AI-powered tools and platforms. Monitor deployed AI and machine learning systems, analyzing performance trends and recommending improvements or retraining activities. Ensure ethical and responsible AI usage by promoting fairness, transparency, explainability, privacy, and bias mitigation practices. Translate complex AI and machine learning concepts into clear, actionable business insights for non-technical stakeholders. Support decision-making through predictive analytics, intelligent automation, and AI-driven recommendations that enhance business outcomes. Research, evaluate, and recommend emerging AI tools, machine learning platforms, and industry innovations to support continuous improvement. Assist in planning and managing AI deployments across cloud platforms such as "AWS", "Google Cloud Platform (GCP)", and "Microsoft Azure" using managed AI services. Maintain comprehensive documentation of AI solutions, workflows, datasets, performance evaluations, and deployment processes. Collaborate with cross-functional teams to ensure machine learning solutions align with business objectives, regulatory requirements, and organizational standards.
29/07/2026
Full time
Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding. Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases. Utilize pre-built AI models, AutoML solutions, and no-code/low-code platforms to develop effective and scalable machine learning applications. Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics. Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives. Select appropriate datasets and ensure data quality, relevance, completeness, and consistency for AI-driven applications. Apply data labeling techniques, augmentation strategies, and model optimization processes through AI-powered tools and platforms. Monitor deployed AI and machine learning systems, analyzing performance trends and recommending improvements or retraining activities. Ensure ethical and responsible AI usage by promoting fairness, transparency, explainability, privacy, and bias mitigation practices. Translate complex AI and machine learning concepts into clear, actionable business insights for non-technical stakeholders. Support decision-making through predictive analytics, intelligent automation, and AI-driven recommendations that enhance business outcomes. Research, evaluate, and recommend emerging AI tools, machine learning platforms, and industry innovations to support continuous improvement. Assist in planning and managing AI deployments across cloud platforms such as "AWS", "Google Cloud Platform (GCP)", and "Microsoft Azure" using managed AI services. Maintain comprehensive documentation of AI solutions, workflows, datasets, performance evaluations, and deployment processes. Collaborate with cross-functional teams to ensure machine learning solutions align with business objectives, regulatory requirements, and organizational standards.
Experian Group is seeking a Data Engineer based in Nottingham to deliver high-quality analytic data services. This role focuses on designing ETL processes and developing data pipelines to support security metrics reporting. The ideal candidate will have expertise in Python, AWS tools, and BI tools like PowerBI. Enjoy a hybrid working environment with comprehensive benefits, including healthcare, pension plans, annual leave, and more.
29/07/2026
Full time
Experian Group is seeking a Data Engineer based in Nottingham to deliver high-quality analytic data services. This role focuses on designing ETL processes and developing data pipelines to support security metrics reporting. The ideal candidate will have expertise in Python, AWS tools, and BI tools like PowerBI. Enjoy a hybrid working environment with comprehensive benefits, including healthcare, pension plans, annual leave, and more.
OT Detection Engineer Department: Cyber Services and Capabilities Employment Type: Permanent Location: GBR Manchester Hardman Boulevard Description Our Global Detection Engineering Team provides detection capabilities for various security products used in our 24/7 managed monitoring service with customers all over the world. This role will be to join our detection engineering team, where you will focus on developing the best detections for OT environments utilizing our Network Sensor, supporting our NDR for OT service. You will use our latest Threat Intelligence and your own creativity to write and maintain detection logic for our customers. Previous experience with detection engineering is not a prerequisite. We are looking for a wide range of backgrounds for potential candidates, and the exact responsibilities of any candidate can be tailored given their experience and skill set. Any candidate that only partially matches the skill set is encouraged to apply. The Opportunity Develop, validate, tune and optimise network sensor detection logic specific to OT environments. Integrate network telemetry into SIEM and SOAR platforms. Support client facing teams in network sensor deployments and configuration baselines. Write and maintain detection test cases. Review findings of TI, CERT, and Red Team activities and evaluate from a detection engineering improvement perspective. Key Responsibilities Research data sets and potential IOCs for distribution. Run tools/techniques to acquire data. Research log sources and data sets. Write rules and alert logic. Write test processes and procedures for the logic. Monitor test output and fix bugs. Monitor the system & data health. Add global filters to detection logic based on operational feedback. Deploy new analytics to existing customers using our deployment pipeline(s). Ensure work is up to date or tracked. Skills, Knowledge & Expertise Minimum Requirements: Proven experience with and understanding of industrial environments and protocols (such as Modbus, S7Comm, S7Comm+, Bacnet, Profinet, DNP3, OPC, MQTT). Proven experience and general understanding of detection engineering, tuning and optimisation of detection logic with Suricata, Zeek or vendor platforms (such as Dragos, Nozomi, Claroty, Armis or Darktrace). Proven experience in SOC or Managed Detection Services. Alternative Path: Proven experience in analytically minded IT Systems administration/Network Administration looking for a career change/focus on Security. Excellent oral and written communication skills in English. Ability to work with client engagement teams and NCC colleagues to continuously improve the service we deliver. Good understanding of IT Systems and platforms from a security context. A security mindset and demonstrable experience or knowledge of contemporary attack tactics and techniques specific for OT environments. Forensics or Incident Response competency would be considered valuable. Strong knowledge of the latest threats in security or an eagerness to build this knowledge. Experience with simulating attacks. Certificates such as CEH and OSCP are not required but are a plus. Experience with network detection tools, preferably Zeek, Suricata, Nozomi, Claroty, Armis or Dragos. Experience with scripting languages such as PowerShell, Python, Bash. Experience with version control (Git, Azure Dev Ops, etc.). And has knowledge of one or more of the below: Networking fundamentals. ICS/SCADA. Job Benefits Flexible Working: Balance your work and personal life with our flexible working options. Generous Holiday Allowance: Enjoy 25 days of holiday, plus bank holidays, with the option to buy up to 5 additional days of annual leave. Medicash & Critical Illness Scheme Financial & Investment Benefits: Enjoy peace of mind with our Pension, Life Assurance and Share Save Scheme. Community & Volunteering Programmes: Make a difference in your community with our volunteering opportunities. Green Car Scheme: Drive green and save money with our eco friendly car scheme. Cycle Scheme: Stay fit and healthy with our cycle to work scheme. Special Time Off: Take time off for those big moments in life, such as getting married, entering a civil partnership, becoming a grandparent and welcoming home a new pet. Family Planning: Benefit from our generous maternity and paternity leave, as well as time off and support for those undergoing fertility treatments.
29/07/2026
Full time
OT Detection Engineer Department: Cyber Services and Capabilities Employment Type: Permanent Location: GBR Manchester Hardman Boulevard Description Our Global Detection Engineering Team provides detection capabilities for various security products used in our 24/7 managed monitoring service with customers all over the world. This role will be to join our detection engineering team, where you will focus on developing the best detections for OT environments utilizing our Network Sensor, supporting our NDR for OT service. You will use our latest Threat Intelligence and your own creativity to write and maintain detection logic for our customers. Previous experience with detection engineering is not a prerequisite. We are looking for a wide range of backgrounds for potential candidates, and the exact responsibilities of any candidate can be tailored given their experience and skill set. Any candidate that only partially matches the skill set is encouraged to apply. The Opportunity Develop, validate, tune and optimise network sensor detection logic specific to OT environments. Integrate network telemetry into SIEM and SOAR platforms. Support client facing teams in network sensor deployments and configuration baselines. Write and maintain detection test cases. Review findings of TI, CERT, and Red Team activities and evaluate from a detection engineering improvement perspective. Key Responsibilities Research data sets and potential IOCs for distribution. Run tools/techniques to acquire data. Research log sources and data sets. Write rules and alert logic. Write test processes and procedures for the logic. Monitor test output and fix bugs. Monitor the system & data health. Add global filters to detection logic based on operational feedback. Deploy new analytics to existing customers using our deployment pipeline(s). Ensure work is up to date or tracked. Skills, Knowledge & Expertise Minimum Requirements: Proven experience with and understanding of industrial environments and protocols (such as Modbus, S7Comm, S7Comm+, Bacnet, Profinet, DNP3, OPC, MQTT). Proven experience and general understanding of detection engineering, tuning and optimisation of detection logic with Suricata, Zeek or vendor platforms (such as Dragos, Nozomi, Claroty, Armis or Darktrace). Proven experience in SOC or Managed Detection Services. Alternative Path: Proven experience in analytically minded IT Systems administration/Network Administration looking for a career change/focus on Security. Excellent oral and written communication skills in English. Ability to work with client engagement teams and NCC colleagues to continuously improve the service we deliver. Good understanding of IT Systems and platforms from a security context. A security mindset and demonstrable experience or knowledge of contemporary attack tactics and techniques specific for OT environments. Forensics or Incident Response competency would be considered valuable. Strong knowledge of the latest threats in security or an eagerness to build this knowledge. Experience with simulating attacks. Certificates such as CEH and OSCP are not required but are a plus. Experience with network detection tools, preferably Zeek, Suricata, Nozomi, Claroty, Armis or Dragos. Experience with scripting languages such as PowerShell, Python, Bash. Experience with version control (Git, Azure Dev Ops, etc.). And has knowledge of one or more of the below: Networking fundamentals. ICS/SCADA. Job Benefits Flexible Working: Balance your work and personal life with our flexible working options. Generous Holiday Allowance: Enjoy 25 days of holiday, plus bank holidays, with the option to buy up to 5 additional days of annual leave. Medicash & Critical Illness Scheme Financial & Investment Benefits: Enjoy peace of mind with our Pension, Life Assurance and Share Save Scheme. Community & Volunteering Programmes: Make a difference in your community with our volunteering opportunities. Green Car Scheme: Drive green and save money with our eco friendly car scheme. Cycle Scheme: Stay fit and healthy with our cycle to work scheme. Special Time Off: Take time off for those big moments in life, such as getting married, entering a civil partnership, becoming a grandparent and welcoming home a new pet. Family Planning: Benefit from our generous maternity and paternity leave, as well as time off and support for those undergoing fertility treatments.
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
29/07/2026
Full time
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew. Core Responsibilities Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing. Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions. Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse. Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members. Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client. Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production. Participates in special projects and performs other duties as assigned. Qualifications Data analytics, programming, database administration, or data management experience. Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
29/07/2026
Full time
Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew. Core Responsibilities Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing. Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions. Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse. Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members. Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client. Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production. Participates in special projects and performs other duties as assigned. Qualifications Data analytics, programming, database administration, or data management experience. Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me. Lime is hiring a Senior Analyst to join our Global Operations team. In this role, you'll be at the forefront of improving in-field repair quality performance- developing key metrics, building tools that drive real-time visibility, and delivering targeted analysis that informs operational decisions and strategic opportunities. You'll serve as the functional bridge between Local Operations and our Product organization, translating operational needs into structured data requirements and tooling improvements. You'll collaborate closely with Local Operations, Product, Data Science, and Hardware teams to help shape the future of Lime's in-field repair quality across all of our operations as we continue to scale. The ideal candidate is highly analytical, technically strong, and passionate about using data to solve complex problems. You're equally comfortable partnering with local operations teams and product or engineering stakeholders - and you know how to both structure a process and build a dashboard. If you have 3+ years of experience in business analytics or operations, strong data analysis and visualization skills, and a drive to influence outcomes through insight, we'd love to hear from you. This is a hybrid role open to candidates located in London, Paris, or Berlin. The role requires occasional travel ( 10%) to Lime warehouses or other locations for team meetings. What You'll Do: Improve visibility into in-field repair quality: Define and maintain metrics to track repair performance, effectiveness, compliance, efficiency, and ROI - and build tooling to surface these insights in real time across operations Build models and dashboards: Use SQL, Tableau, and spreadsheets to develop repair volume forecasting models, quality compliance dashboards, and performance reports for local operations teams - with robust logic, clearly defined assumptions, and intuitive interfaces Monitor trends and diagnose performance gaps: Track repair efficiency and quality compliance over time, identify root causes behind variances or emerging trends, and recommend actionable solutions at both tactical and strategic levels Turn operational complexity into structured clarity: Bridge Local Operations and Product/Tech by converting messy, real-world business needs into crisp specs, user stories, data requirements, and SOPs that teams can actually execute against Formalize and improve operational processes: Map and document quality workflows, surface inefficiencies, and partner with Local Operations to define and roll out improved standard operating procedures Collaborate with partner teams to improve efficiency: Provide insight and targeted analysis to troubleshoot issues or highlight opportunities. Partner with Operations leadership and local teams to land recommendations and drive action through to resolution Drive continuous improvement in data analytics capabilities across global operations: Contribute to a culture of data-driven decision making and analytical excellence through peer collaboration, knowledge sharing, and support About You: Extremely strong proficiency in data analytics, including advanced SQL, spreadsheet modeling, and data visualization (e.g. Tableau or equivalent). Bachelor's degree in Business, Mathematics, Engineering, Computer Science, or a related field, or equivalent industry experience 3+ years of experience in business analytics or operations analytics, with demonstrated ability to build reports and dashboards used by operational stakeholders Experience translating business needs into functional data and reporting requirements, ideally working closely with a Product or Engineering team Ability to structure and document operational processes, comfortable with ambiguity and working from first principles when standard frameworks don't exist Curious mindset to spot trends in data, deep-dive root causes, and generate proposals for both tactical and strategic solutions Clear verbal and written communicator, with strong collaboration and influencing skills across both field teams and technical stakeholders Preferred Experience: Python, Google Apps Script, or other automation/scripting capabilities are a strong plus Previous experience in a fast-paced, scaling operations environment (gig economy, last-mile, field services, or similar) Experience working closely with Product or Engineering teams on tooling/product improvements If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That's why we're dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email for assistance.
29/07/2026
Full time
As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me. Lime is hiring a Senior Analyst to join our Global Operations team. In this role, you'll be at the forefront of improving in-field repair quality performance- developing key metrics, building tools that drive real-time visibility, and delivering targeted analysis that informs operational decisions and strategic opportunities. You'll serve as the functional bridge between Local Operations and our Product organization, translating operational needs into structured data requirements and tooling improvements. You'll collaborate closely with Local Operations, Product, Data Science, and Hardware teams to help shape the future of Lime's in-field repair quality across all of our operations as we continue to scale. The ideal candidate is highly analytical, technically strong, and passionate about using data to solve complex problems. You're equally comfortable partnering with local operations teams and product or engineering stakeholders - and you know how to both structure a process and build a dashboard. If you have 3+ years of experience in business analytics or operations, strong data analysis and visualization skills, and a drive to influence outcomes through insight, we'd love to hear from you. This is a hybrid role open to candidates located in London, Paris, or Berlin. The role requires occasional travel ( 10%) to Lime warehouses or other locations for team meetings. What You'll Do: Improve visibility into in-field repair quality: Define and maintain metrics to track repair performance, effectiveness, compliance, efficiency, and ROI - and build tooling to surface these insights in real time across operations Build models and dashboards: Use SQL, Tableau, and spreadsheets to develop repair volume forecasting models, quality compliance dashboards, and performance reports for local operations teams - with robust logic, clearly defined assumptions, and intuitive interfaces Monitor trends and diagnose performance gaps: Track repair efficiency and quality compliance over time, identify root causes behind variances or emerging trends, and recommend actionable solutions at both tactical and strategic levels Turn operational complexity into structured clarity: Bridge Local Operations and Product/Tech by converting messy, real-world business needs into crisp specs, user stories, data requirements, and SOPs that teams can actually execute against Formalize and improve operational processes: Map and document quality workflows, surface inefficiencies, and partner with Local Operations to define and roll out improved standard operating procedures Collaborate with partner teams to improve efficiency: Provide insight and targeted analysis to troubleshoot issues or highlight opportunities. Partner with Operations leadership and local teams to land recommendations and drive action through to resolution Drive continuous improvement in data analytics capabilities across global operations: Contribute to a culture of data-driven decision making and analytical excellence through peer collaboration, knowledge sharing, and support About You: Extremely strong proficiency in data analytics, including advanced SQL, spreadsheet modeling, and data visualization (e.g. Tableau or equivalent). Bachelor's degree in Business, Mathematics, Engineering, Computer Science, or a related field, or equivalent industry experience 3+ years of experience in business analytics or operations analytics, with demonstrated ability to build reports and dashboards used by operational stakeholders Experience translating business needs into functional data and reporting requirements, ideally working closely with a Product or Engineering team Ability to structure and document operational processes, comfortable with ambiguity and working from first principles when standard frameworks don't exist Curious mindset to spot trends in data, deep-dive root causes, and generate proposals for both tactical and strategic solutions Clear verbal and written communicator, with strong collaboration and influencing skills across both field teams and technical stakeholders Preferred Experience: Python, Google Apps Script, or other automation/scripting capabilities are a strong plus Previous experience in a fast-paced, scaling operations environment (gig economy, last-mile, field services, or similar) Experience working closely with Product or Engineering teams on tooling/product improvements If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That's why we're dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email for assistance.
FullRemoteTalent is seeking a Data Engineer to own pipelines and analytics for a high-growth payments platform. This role involves modernizing the stack, mentoring engineers on data quality and reliability, and scaling batch and streaming processes with Spark. The ideal candidate has over 5 years of experience in data engineering with Python, and hands-on experience with DBT and Airflow. The position offers a flexible remote work arrangement within the UK or EU time zones, along with a learning budget and conference allowance.
29/07/2026
Full time
FullRemoteTalent is seeking a Data Engineer to own pipelines and analytics for a high-growth payments platform. This role involves modernizing the stack, mentoring engineers on data quality and reliability, and scaling batch and streaming processes with Spark. The ideal candidate has over 5 years of experience in data engineering with Python, and hands-on experience with DBT and Airflow. The position offers a flexible remote work arrangement within the UK or EU time zones, along with a learning budget and conference allowance.
Java Software Engineer, Wholesale Credit Risk Analytics - Assistant Vice PresidentApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Software Engineer, Wholesale Credit Risk Analytics We are seeking a skilled and motivated software engineer to join our Credit Risk Technology team. This role offers an exciting opportunity to work on critical risk management systems, developing solutions that support the bank's stress testing functions globally. The ideal candidate will be a hands-on developer with a strong commitment to engineering excellence, demonstrable interest and experience using GenAI in software engineering and excellent communication skills Responsibilities Contribute to the engineering and implementation of software solutions, assisting with the definition of system scope and objectives for assigned projects. Write clean, efficient, and maintainable code as part of a development team. Support the analysis of business processes and system requirements to help recommend appropriate system enhancements. Assist in triaging production issues and user questions as necessary. Learn and apply the firm's standards for risk management, compliance, and ethical judgment in all work. Required Qualifications Professional experience in a software development role using GitHub copilot and agentic AI tools Strong Experience in Java using Spring or Apache Flink Frameworks in Unix and Windows environments Demonstrable knowledge of cloud compute principles using AWS, Azure, or Google Cloud Experience in SQL and knowledge of relational and/or no-sql database concepts and best practices Works well independently as well as within a team Other Qualifications Experience development with python in professional or personal capacity Experience in machine learning models and techniques and/or agentic AI workflows Understanding of Front-End technologies such as Angular or similar Prior experience in the financial services industry is a plus. Education Bachelor's degree/University degree in software engineering or related fields What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
29/07/2026
Full time
Java Software Engineer, Wholesale Credit Risk Analytics - Assistant Vice PresidentApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Software Engineer, Wholesale Credit Risk Analytics We are seeking a skilled and motivated software engineer to join our Credit Risk Technology team. This role offers an exciting opportunity to work on critical risk management systems, developing solutions that support the bank's stress testing functions globally. The ideal candidate will be a hands-on developer with a strong commitment to engineering excellence, demonstrable interest and experience using GenAI in software engineering and excellent communication skills Responsibilities Contribute to the engineering and implementation of software solutions, assisting with the definition of system scope and objectives for assigned projects. Write clean, efficient, and maintainable code as part of a development team. Support the analysis of business processes and system requirements to help recommend appropriate system enhancements. Assist in triaging production issues and user questions as necessary. Learn and apply the firm's standards for risk management, compliance, and ethical judgment in all work. Required Qualifications Professional experience in a software development role using GitHub copilot and agentic AI tools Strong Experience in Java using Spring or Apache Flink Frameworks in Unix and Windows environments Demonstrable knowledge of cloud compute principles using AWS, Azure, or Google Cloud Experience in SQL and knowledge of relational and/or no-sql database concepts and best practices Works well independently as well as within a team Other Qualifications Experience development with python in professional or personal capacity Experience in machine learning models and techniques and/or agentic AI workflows Understanding of Front-End technologies such as Angular or similar Prior experience in the financial services industry is a plus. Education Bachelor's degree/University degree in software engineering or related fields What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
Hyster-Yale Materials Handling, Inc.
Frimley, Surrey
Robotics Cloud Software Engineer Robotics Cloud Software Engineer III is a senior individual contributor responsible for architecting, developing, and scaling cloud services, dashboards, and data processing systems that support robotics and autonomous vehicle technology. This role combines cloud software engineering, distributed systems development, IoT platform integration, and hands on work with vehicles and robotic systems deployed in real world environments. Key Responsibilities Cloud Platform Development: design and develop scalable dashboards and user interfaces for robotics, traffic management and telemetry; integrate, transform, and combine multiple datasets to deliver meaningful, actionable user insights; use open source frameworks, tools, and libraries (NuxtJS, NestJS, Grafana, D3.js) to create visually rich and responsive dashboards; build cloud native APIs and microservices enabling machine to cloud communication using REST, gRPC, MQTT and messaging technologies; develop IoT solutions using Azure IoT Hub, Device Provisioning Service, Azure Event Hub, Azure Functions and other cloud services to support secure telemetry ingestion and bi directional device communication. Robotics and Telemetry Integration: integrate cloud services with vehicle and robotic systems, enabling telemetry streaming, remote monitoring, automation, and operator assist capabilities; build and maintain both real time and batch data ingestion pipelines using Azure Event Hub, Azure Stream Analytics, Azure Data Explorer and Cosmos DB; provide secure, reliable access for dealers and partners to HYMH databases via authenticated web service interfaces; collaborate closely with telemetry platform teams, robotics engineers, external vendors, and customer organizations to deliver end to end robotics functionality. Software Development, Testing and Reliability: simulate, verify and validate developed software to ensure it meets functional, integration and stakeholder requirements; deliver high quality software using Agile methodologies with an emphasis on reliability, scalability and system performance; implement observability using metrics, distributed logging and alerting (Azure Monitor, Application Insights, Prometheus, Grafana) to support high availability robotics solutions; contribute to engineering best practices, including documentation, coding standards, CI/CD pipelines and continuous improvement initiatives. Architecture and Technical Leadership: participate in architectural design and planning for cloud, data and robotics platform solutions, including IoT device management, telemetry architectures and data flows; mentor junior engineers and foster growth of technical expertise across the broader engineering team; contribute to sprint planning, design reviews, architecture sessions and cross functional technical discussions. Experience and Qualifications Bachelor's degree in electrical engineering, computer engineering, computer science or a related field. Four years of relevant engineering experience. Proficiency in at least one modern programming language such as Java, C++ or C#. Experience with SQL and NoSQL database development and automation of web queries. Experience working in an Agile software development environment. Experience with Microsoft Azure cloud services. Strong written and verbal communication skills. Strong analytical thinking, problem solving and design capabilities. Preferred Qualifications Exposure to robotics, autonomous vehicles, mobile or highway equipment, or industrial automation through coursework, internships, professional work or personal projects. Experience working with electrical engineering and embedded software teams. Experience with telemetry systems, IoT integration or fleet management platforms. Experience with ROS or ROS2, simulation environments or real time streaming data systems. Equal Opportunity Statement Hyster Yale Materials Handling, Inc. is an equal opportunity employer. The successful candidate will be subject to background checks.
29/07/2026
Full time
Robotics Cloud Software Engineer Robotics Cloud Software Engineer III is a senior individual contributor responsible for architecting, developing, and scaling cloud services, dashboards, and data processing systems that support robotics and autonomous vehicle technology. This role combines cloud software engineering, distributed systems development, IoT platform integration, and hands on work with vehicles and robotic systems deployed in real world environments. Key Responsibilities Cloud Platform Development: design and develop scalable dashboards and user interfaces for robotics, traffic management and telemetry; integrate, transform, and combine multiple datasets to deliver meaningful, actionable user insights; use open source frameworks, tools, and libraries (NuxtJS, NestJS, Grafana, D3.js) to create visually rich and responsive dashboards; build cloud native APIs and microservices enabling machine to cloud communication using REST, gRPC, MQTT and messaging technologies; develop IoT solutions using Azure IoT Hub, Device Provisioning Service, Azure Event Hub, Azure Functions and other cloud services to support secure telemetry ingestion and bi directional device communication. Robotics and Telemetry Integration: integrate cloud services with vehicle and robotic systems, enabling telemetry streaming, remote monitoring, automation, and operator assist capabilities; build and maintain both real time and batch data ingestion pipelines using Azure Event Hub, Azure Stream Analytics, Azure Data Explorer and Cosmos DB; provide secure, reliable access for dealers and partners to HYMH databases via authenticated web service interfaces; collaborate closely with telemetry platform teams, robotics engineers, external vendors, and customer organizations to deliver end to end robotics functionality. Software Development, Testing and Reliability: simulate, verify and validate developed software to ensure it meets functional, integration and stakeholder requirements; deliver high quality software using Agile methodologies with an emphasis on reliability, scalability and system performance; implement observability using metrics, distributed logging and alerting (Azure Monitor, Application Insights, Prometheus, Grafana) to support high availability robotics solutions; contribute to engineering best practices, including documentation, coding standards, CI/CD pipelines and continuous improvement initiatives. Architecture and Technical Leadership: participate in architectural design and planning for cloud, data and robotics platform solutions, including IoT device management, telemetry architectures and data flows; mentor junior engineers and foster growth of technical expertise across the broader engineering team; contribute to sprint planning, design reviews, architecture sessions and cross functional technical discussions. Experience and Qualifications Bachelor's degree in electrical engineering, computer engineering, computer science or a related field. Four years of relevant engineering experience. Proficiency in at least one modern programming language such as Java, C++ or C#. Experience with SQL and NoSQL database development and automation of web queries. Experience working in an Agile software development environment. Experience with Microsoft Azure cloud services. Strong written and verbal communication skills. Strong analytical thinking, problem solving and design capabilities. Preferred Qualifications Exposure to robotics, autonomous vehicles, mobile or highway equipment, or industrial automation through coursework, internships, professional work or personal projects. Experience working with electrical engineering and embedded software teams. Experience with telemetry systems, IoT integration or fleet management platforms. Experience with ROS or ROS2, simulation environments or real time streaming data systems. Equal Opportunity Statement Hyster Yale Materials Handling, Inc. is an equal opportunity employer. The successful candidate will be subject to background checks.
We've signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn't a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let's grow better, together. An exciting hybrid working opportunity has arisen for a talented and driven Senior BI Engineer based in our YourParkingSpace business in London (SE1). The Role As a Senior BI Engineer, you'll play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision-making. Beyond building and maintaining robust data infrastructure, you'll act as the bridge between technical delivery and business outcomes, ensuring that our data capabilities are aligned with commercial priorities and that stakeholders across the business can confidently rely on data to inform their decisions. This is a hands on lead level role where you'll own data pipelines end to end, from ingesting raw data from multiple sources to transforming and delivering high-quality, analytics ready datasets. You'll also have an important role in contributing to the data roadmap, working closely with business stakeholders to understand their needs, prioritise work that drives the most value, and communicate progress and trade offs clearly. How to make an impact Design, build, and maintain end to end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers. Own and improve existing data pipelines, ensuring high reliability, performance, and scalability. Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns. Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime. Implement best practices for BI engineering, including testing, documentation, version control, and observability. Continuously improve data architecture and workflows to support growing data volumes and evolving business needs. Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well scoped BI engineering work. Help shape and prioritise the BI engineering backlog, balancing technical improvements with high impact business requests. Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value. Your background 5+ years' experience in a BI / Data engineering role, with at least 2 years operating in a lead or senior capacity where you've influenced priorities beyond your immediate team. Strong Python skills, with experience building ELT/ETL pipelines. Strong SQL skills, with experience building and optimizing complex transformations. Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools). A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience). Solid understanding of data modelling concepts and analytics ready schemas. Demonstrated experience managing relationships with business stakeholders, including scoping data requirements, setting expectations, and delivering against commercial priorities. Commercially minded: you understand how data supports revenue, operations, and strategic goals, and you use that understanding to guide where you invest your effort. Strong communication skills, with the ability to explain technical concepts and trade offs to non-technical audiences. This role is hybrid role based in London (SE1), 3 days in the office per week, 2 days from home.
29/07/2026
Full time
We've signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn't a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let's grow better, together. An exciting hybrid working opportunity has arisen for a talented and driven Senior BI Engineer based in our YourParkingSpace business in London (SE1). The Role As a Senior BI Engineer, you'll play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision-making. Beyond building and maintaining robust data infrastructure, you'll act as the bridge between technical delivery and business outcomes, ensuring that our data capabilities are aligned with commercial priorities and that stakeholders across the business can confidently rely on data to inform their decisions. This is a hands on lead level role where you'll own data pipelines end to end, from ingesting raw data from multiple sources to transforming and delivering high-quality, analytics ready datasets. You'll also have an important role in contributing to the data roadmap, working closely with business stakeholders to understand their needs, prioritise work that drives the most value, and communicate progress and trade offs clearly. How to make an impact Design, build, and maintain end to end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers. Own and improve existing data pipelines, ensuring high reliability, performance, and scalability. Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns. Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime. Implement best practices for BI engineering, including testing, documentation, version control, and observability. Continuously improve data architecture and workflows to support growing data volumes and evolving business needs. Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well scoped BI engineering work. Help shape and prioritise the BI engineering backlog, balancing technical improvements with high impact business requests. Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value. Your background 5+ years' experience in a BI / Data engineering role, with at least 2 years operating in a lead or senior capacity where you've influenced priorities beyond your immediate team. Strong Python skills, with experience building ELT/ETL pipelines. Strong SQL skills, with experience building and optimizing complex transformations. Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools). A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience). Solid understanding of data modelling concepts and analytics ready schemas. Demonstrated experience managing relationships with business stakeholders, including scoping data requirements, setting expectations, and delivering against commercial priorities. Commercially minded: you understand how data supports revenue, operations, and strategic goals, and you use that understanding to guide where you invest your effort. Strong communication skills, with the ability to explain technical concepts and trade offs to non-technical audiences. This role is hybrid role based in London (SE1), 3 days in the office per week, 2 days from home.
Citibank (Switzerland) AG in Belfast is seeking a Java Software Engineer for their Credit Risk Technology team. This role involves working on critical risk management systems and developing solutions that support the bank's stress testing functions globally. The ideal candidate will have a strong background in Java, cloud technologies, and AI tools. The position offers a hybrid work model along with competitive benefits including generous holidays and medical insurance.
29/07/2026
Full time
Citibank (Switzerland) AG in Belfast is seeking a Java Software Engineer for their Credit Risk Technology team. This role involves working on critical risk management systems and developing solutions that support the bank's stress testing functions globally. The ideal candidate will have a strong background in Java, cloud technologies, and AI tools. The position offers a hybrid work model along with competitive benefits including generous holidays and medical insurance.
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
29/07/2026
Full time
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience. Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week. No relocation support. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
29/07/2026
Full time
The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience. Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week. No relocation support. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
Lyst is a global fashion shopping platform founded in London in 2010, catering to over 160M shoppers per year. We curate pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined forces with Zozo, operators of Zozotown (Japan's leading fashion e-commerce platform). This partnership marks a bold new era for Lyst as we accelerate our ambition to redefine the future of fashion shopping through AI, personalisation, and cutting-edge technology. Lyst is building the world's most compelling fashion discovery experience. The Discovery team sits inside our Transforming the Customer Experience product group and is at the centre of how people find, explore and fall in love with fashion on Lyst. This is the team leading our work on AI Search, natural language refinement, ranking, personalisation and the next generation of fashion-aware shopping journeys. Search in fashion is changing fast. People no longer just type "black dress". They search with mood, context, occasion, taste and intent: "something minimal for a summer wedding", "trainers like these but less obvious", "quiet luxury work bags under £500". Our job is to make Lyst understand what they mean - and help them discover products they could not have found anywhere else. We're looking for a Senior Product Manager to help define and build that future. Discovery is one of the most important product bets at Lyst. The market is moving from keyword search to conversational, personalised and AI-assisted shopping. Our product already frames AI Search as a central part of that shift, with live experimentation around natural, expressive search and LLM-led intent interpretation. The wider market is moving the same way, with memory-aware, follow-up-led product discovery becoming a standard interaction model across AI shopping surfaces. This role is a chance to build what fashion discovery should become next: more visual, more personal, more expressive and much more intelligent than a grid of products behind a search box. And you get to drive that change. Responsibilities You'll lead the Discovery roadmap, from AI Search and refinement through to personalisation, ranking and new discovery surfaces. You'll decide how Lyst should understand fashion intent: the language users use, the signals they give us, the products they engage with, and the moments where they need inspiration rather than a literal search result. You'll partner closely with Engineering, Design, Data Science, Analytics and Research to turn ambiguous customer problems into sharp product bets, high-quality experiments and scalable product experiences. You'll shape how AI shows up in the product - not as a novelty, but as a materially better way to search, refine, browse and discover fashion. You'll use data and research to understand whether we are genuinely improving discovery: better search success, stronger engagement, more high intent actions, more repeat usage and ultimately more orders. What you'll work on The roadmap is evolving, but likely areas include: AI Search and natural language refinement. Search personalisation and fashion-aware ranking. Multimodal discovery, including image-led search and visual drill-downs. Inspirational query responses and richer discovery journeys. Reducing dead ends in search, including zero-results journeys, poor relevance and overly literal matching. Using Lyst's fashion data to make discovery feel more intelligent, more personal and more culturally aware. You're a Senior Product Manager who has worked on complex consumer product experiences - ideally search, discovery, recommendations, personalisation, marketplaces, e-commerce, AI products and/or mobile apps. You're highly customer-led, but not vague about it. You know how to combine user research, behavioural data, experiment results and product judgement to make strong calls. You're comfortable with technical ambiguity. You can work with engineers and data scientists on AI, ranking, search quality and relevance without needing to be the technical expert yourself. You have excellent product taste. You care about making discovery feel magical, not just functional. You can simplify complexity. Fashion discovery has messy data, subjective intent, commercial constraints and edge cases everywhere. You can turn that into a roadmap people understand and believe in. You're commercially sharp. You know that great discovery should inspire users, but also move meaningful business metrics. You're excited by fashion, culture and how people shop - not just by the mechanics of search. Benefits and Working Arrangements Our Ways of Working: We all come into the office on Tuesday and Thursday, with the option to work remotely or come into the office on the other days. We believe that in-person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more. We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements. Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
29/07/2026
Full time
Lyst is a global fashion shopping platform founded in London in 2010, catering to over 160M shoppers per year. We curate pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined forces with Zozo, operators of Zozotown (Japan's leading fashion e-commerce platform). This partnership marks a bold new era for Lyst as we accelerate our ambition to redefine the future of fashion shopping through AI, personalisation, and cutting-edge technology. Lyst is building the world's most compelling fashion discovery experience. The Discovery team sits inside our Transforming the Customer Experience product group and is at the centre of how people find, explore and fall in love with fashion on Lyst. This is the team leading our work on AI Search, natural language refinement, ranking, personalisation and the next generation of fashion-aware shopping journeys. Search in fashion is changing fast. People no longer just type "black dress". They search with mood, context, occasion, taste and intent: "something minimal for a summer wedding", "trainers like these but less obvious", "quiet luxury work bags under £500". Our job is to make Lyst understand what they mean - and help them discover products they could not have found anywhere else. We're looking for a Senior Product Manager to help define and build that future. Discovery is one of the most important product bets at Lyst. The market is moving from keyword search to conversational, personalised and AI-assisted shopping. Our product already frames AI Search as a central part of that shift, with live experimentation around natural, expressive search and LLM-led intent interpretation. The wider market is moving the same way, with memory-aware, follow-up-led product discovery becoming a standard interaction model across AI shopping surfaces. This role is a chance to build what fashion discovery should become next: more visual, more personal, more expressive and much more intelligent than a grid of products behind a search box. And you get to drive that change. Responsibilities You'll lead the Discovery roadmap, from AI Search and refinement through to personalisation, ranking and new discovery surfaces. You'll decide how Lyst should understand fashion intent: the language users use, the signals they give us, the products they engage with, and the moments where they need inspiration rather than a literal search result. You'll partner closely with Engineering, Design, Data Science, Analytics and Research to turn ambiguous customer problems into sharp product bets, high-quality experiments and scalable product experiences. You'll shape how AI shows up in the product - not as a novelty, but as a materially better way to search, refine, browse and discover fashion. You'll use data and research to understand whether we are genuinely improving discovery: better search success, stronger engagement, more high intent actions, more repeat usage and ultimately more orders. What you'll work on The roadmap is evolving, but likely areas include: AI Search and natural language refinement. Search personalisation and fashion-aware ranking. Multimodal discovery, including image-led search and visual drill-downs. Inspirational query responses and richer discovery journeys. Reducing dead ends in search, including zero-results journeys, poor relevance and overly literal matching. Using Lyst's fashion data to make discovery feel more intelligent, more personal and more culturally aware. You're a Senior Product Manager who has worked on complex consumer product experiences - ideally search, discovery, recommendations, personalisation, marketplaces, e-commerce, AI products and/or mobile apps. You're highly customer-led, but not vague about it. You know how to combine user research, behavioural data, experiment results and product judgement to make strong calls. You're comfortable with technical ambiguity. You can work with engineers and data scientists on AI, ranking, search quality and relevance without needing to be the technical expert yourself. You have excellent product taste. You care about making discovery feel magical, not just functional. You can simplify complexity. Fashion discovery has messy data, subjective intent, commercial constraints and edge cases everywhere. You can turn that into a roadmap people understand and believe in. You're commercially sharp. You know that great discovery should inspire users, but also move meaningful business metrics. You're excited by fashion, culture and how people shop - not just by the mechanics of search. Benefits and Working Arrangements Our Ways of Working: We all come into the office on Tuesday and Thursday, with the option to work remotely or come into the office on the other days. We believe that in-person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more. We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements. Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
慨正橡扯 is seeking a Lead Data Engineer in Greater London. You will be pivotal in delivering high-quality data solutions for our financial services sector. This position requires experience in Python, cloud technologies, and effective data management. Join us to make a substantial impact while working in a diverse and inclusive team. We value exceptional values, providing our customers with a seamless banking experience.
29/07/2026
Full time
慨正橡扯 is seeking a Lead Data Engineer in Greater London. You will be pivotal in delivering high-quality data solutions for our financial services sector. This position requires experience in Python, cloud technologies, and effective data management. Join us to make a substantial impact while working in a diverse and inclusive team. We value exceptional values, providing our customers with a seamless banking experience.
Senior Azure DevOps Engineer - Shared Records Reporting To: Chief Software Engineer Department: Development Location: Milton Keynes/Homebased - with occasional travel to the office in Milton Keynes Overview Graphnet Health is the leading UK supplier of integrated healthcare solutions to the NHS. Our software solutions are helping to revolutionise patient care across the country, driving improved patient outcomes and patient satisfaction and delivering greater efficiency across the healthcare system. We have high ambitions and looking to bring in highly skilled individuals to help continue our adoption of Azure-native services and building a best-of-breed scalable SaaS platform for our solutions. The person we are looking for will need to have 5+ years enterprise experience with Azure, who can demonstrate a real passion for cloud technologies, with strong problem solving and critical thinking, good communication skills and a strong work ethic. Working within an existing DevOps team and part of a wider DevOps Consortium, the individual will have a diverse workload covering (but not limited to): Automation of infrastructure and software rollout using Azure DevOps pipelines, including quality gates such as approvals and code quality scanning and reusable templates to enable consistent scalable delivery. Design and maintain Infrastructure as Code using Terraform, including modular architectures, remote state management, and environment segregation with enterprise level governance. Support and operate enterprise scale cloud platforms across multiple regions and environments, ensuring resilience, consistency, and high availability. Design and develop automated scaling and failover using deep health checks and insights. Architect and implement cloud infrastructure aligned with the Azure Well Architected Framework, ensuring adherence to reliability, security, performance, operational excellence, and cost optimisation principles. Work closely with others, such as Development or Platform teams, to agree concepts/solutions that fulfil complex requirements yet remain achievable. Work closely with other departments, such as Ops and TechOps, to facilitate the smooth running of the cloud services by providing utilities/dashboards/scripts. Work closely with the Security teams to analyse and help remediate on internal and SoC flagged issues, create secure pipeline design and assisting with vulnerability remediation. Design, test, and continuously improve disaster recovery and business continuity strategies aligned to defined RTO/RPO targets. Education & Skills Required A demonstrable understanding of Azure PaaS components. Key areas: Containerisation and orchestration with AKS and Docker (design, scaling, network and security). API Management. App Services and Azure Functions. Observability using Azure Monitor, Log Analytics and Application Insights, Prometheus and Grafana. Implementation of governance and compliance controls using Azure Policy, Management Groups, and Landing Zone principles. Azure SQL and Managed Instance. Event driven architecture (Service Bus, Event Grid). Data integration and processing using Data Factory / Databricks. Identity and Access Management (RBAC, Key Vault and Managed Identities). Azure networking (e.g. VNets, NSGs, Private endpoints, DNS, load balancing, Front Door) and understanding of the hub spoke topology. Proven experience designing and implementing CI/CD pipelines in GitHub Actions and/or Azure DevOps using YAML, including release strategies, approvals, and artifact management as well as testing integration. Strong experience with Git based workflows (branching strategies, repo management including pull requests and code reviews). Hands on experience and scripting skills in: HELM and Flux. Powershell and Azure CLI. Terraform. Experience in producing and maintaining technical documentation, standards, and reusable patterns to support knowledge sharing and team scalability. Advantageous Healthcare or Government related industry experience. Understanding of JIRA and Confluence. Exposure to AIOps practices, including intelligent monitoring and experience using AI assisted development and operations tooling e.g. GitHub Copilot, intelligent automation. Qualifications Microsoft certification(s) in Azure, such as AZ 400, AZ 305. Experience is valued over accreditation, however, there will be encouragement to gain accreditation during employment.
29/07/2026
Full time
Senior Azure DevOps Engineer - Shared Records Reporting To: Chief Software Engineer Department: Development Location: Milton Keynes/Homebased - with occasional travel to the office in Milton Keynes Overview Graphnet Health is the leading UK supplier of integrated healthcare solutions to the NHS. Our software solutions are helping to revolutionise patient care across the country, driving improved patient outcomes and patient satisfaction and delivering greater efficiency across the healthcare system. We have high ambitions and looking to bring in highly skilled individuals to help continue our adoption of Azure-native services and building a best-of-breed scalable SaaS platform for our solutions. The person we are looking for will need to have 5+ years enterprise experience with Azure, who can demonstrate a real passion for cloud technologies, with strong problem solving and critical thinking, good communication skills and a strong work ethic. Working within an existing DevOps team and part of a wider DevOps Consortium, the individual will have a diverse workload covering (but not limited to): Automation of infrastructure and software rollout using Azure DevOps pipelines, including quality gates such as approvals and code quality scanning and reusable templates to enable consistent scalable delivery. Design and maintain Infrastructure as Code using Terraform, including modular architectures, remote state management, and environment segregation with enterprise level governance. Support and operate enterprise scale cloud platforms across multiple regions and environments, ensuring resilience, consistency, and high availability. Design and develop automated scaling and failover using deep health checks and insights. Architect and implement cloud infrastructure aligned with the Azure Well Architected Framework, ensuring adherence to reliability, security, performance, operational excellence, and cost optimisation principles. Work closely with others, such as Development or Platform teams, to agree concepts/solutions that fulfil complex requirements yet remain achievable. Work closely with other departments, such as Ops and TechOps, to facilitate the smooth running of the cloud services by providing utilities/dashboards/scripts. Work closely with the Security teams to analyse and help remediate on internal and SoC flagged issues, create secure pipeline design and assisting with vulnerability remediation. Design, test, and continuously improve disaster recovery and business continuity strategies aligned to defined RTO/RPO targets. Education & Skills Required A demonstrable understanding of Azure PaaS components. Key areas: Containerisation and orchestration with AKS and Docker (design, scaling, network and security). API Management. App Services and Azure Functions. Observability using Azure Monitor, Log Analytics and Application Insights, Prometheus and Grafana. Implementation of governance and compliance controls using Azure Policy, Management Groups, and Landing Zone principles. Azure SQL and Managed Instance. Event driven architecture (Service Bus, Event Grid). Data integration and processing using Data Factory / Databricks. Identity and Access Management (RBAC, Key Vault and Managed Identities). Azure networking (e.g. VNets, NSGs, Private endpoints, DNS, load balancing, Front Door) and understanding of the hub spoke topology. Proven experience designing and implementing CI/CD pipelines in GitHub Actions and/or Azure DevOps using YAML, including release strategies, approvals, and artifact management as well as testing integration. Strong experience with Git based workflows (branching strategies, repo management including pull requests and code reviews). Hands on experience and scripting skills in: HELM and Flux. Powershell and Azure CLI. Terraform. Experience in producing and maintaining technical documentation, standards, and reusable patterns to support knowledge sharing and team scalability. Advantageous Healthcare or Government related industry experience. Understanding of JIRA and Confluence. Exposure to AIOps practices, including intelligent monitoring and experience using AI assisted development and operations tooling e.g. GitHub Copilot, intelligent automation. Qualifications Microsoft certification(s) in Azure, such as AZ 400, AZ 305. Experience is valued over accreditation, however, there will be encouragement to gain accreditation during employment.
Software Development Engineer IIApplylocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: JR6077 "I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new onesAs a Software Engineer within the Investment Group Technologies organization, you will build systems, services and tools that improve the lives of tens of millions of people every single day. The Investment Group Technologies organization applies software and data engineering, as well as data science to long-term fundamental investing at > $2 trillion scale. In the Software Engineer role, you will work with experienced software engineers while making technical decisions around how best to serve our customers. If you are looking to join a team that offers autonomy, plenty of space to run with new ideas, working in a nurturing environment, and challenging problems to solve at a significant scale, this might be the job for you!Capital Group's mission since 1931 has been to improve our customers' lives through successful long-term investing. Looking to the future, we are in a unique position to make an even bigger difference to these investors, harnessing our distinctive investment research process, built on 8 decades of proprietary data and research insights, and coupled with our data-grounded and customer-focused approach to building software. The ideal candidate for this role will be passionate about our mission, driving for superior long-term investment results through the application of modern engineering and analytical methods. What you'll be doing: Writing Code (TypeScript, Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow in your career. Building relationships with your customers, partner teams and the engineers on your team. Measuring the quality of your software and systems via instrumentation, observability, and customer usage patterns. Influence your team's technical decisions by making insightful contributions to team priorities and approach. Leverage AI in your daily work and delivery AI enabled insights and analytics to customers. Help in identifying and solving ambiguous problems, or areas where your team's software bottlenecks the innovation of other teams. Your background and who you are: You have a background in software engineering and a passion to learn. You've made mistakes in the past and have learned a lot from them. You apply this learning regularly. You are well versed in software engineering fundamentals and love to apply that craft towards data-centric applications. You believe there are generally multiple ways to solve a technical problem, each with different trade-offs. You approach projects, tasks, and unknowns with curiosity, and enjoy sharing what you know and learn with the people around you. You believe that a team is strongest when it is diverse and includes multiple perspectives. You are able to put yourself into your customer's shoes. You frequently immerse yourself in the customer experience to understand how you can better serve them. Qualifications: BS in Computer Science or related field, or an equivalent in relevant work experience. Experience in software development, including experience with at least one modern language such as Python, Java, C++, or C# including object-oriented design with an understanding of advanced design patterns. Experience in cloud-first design, preferably AWS (Serverless infrastructure, dynamic autoscaling, container orchestration, etc.). Experience in data architecture, databases (e.g., PostgreSQL, MySQL, Oracle), SQL and DDD/ER/ORM design. Interest and curiosity in emerging technologies on the web like GraphQL, web assembly, Lambda functions, MLaaS etc. Knowledge of software engineering practices & best practices for the software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here . Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.
29/07/2026
Full time
Software Development Engineer IIApplylocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: JR6077 "I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new onesAs a Software Engineer within the Investment Group Technologies organization, you will build systems, services and tools that improve the lives of tens of millions of people every single day. The Investment Group Technologies organization applies software and data engineering, as well as data science to long-term fundamental investing at > $2 trillion scale. In the Software Engineer role, you will work with experienced software engineers while making technical decisions around how best to serve our customers. If you are looking to join a team that offers autonomy, plenty of space to run with new ideas, working in a nurturing environment, and challenging problems to solve at a significant scale, this might be the job for you!Capital Group's mission since 1931 has been to improve our customers' lives through successful long-term investing. Looking to the future, we are in a unique position to make an even bigger difference to these investors, harnessing our distinctive investment research process, built on 8 decades of proprietary data and research insights, and coupled with our data-grounded and customer-focused approach to building software. The ideal candidate for this role will be passionate about our mission, driving for superior long-term investment results through the application of modern engineering and analytical methods. What you'll be doing: Writing Code (TypeScript, Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow in your career. Building relationships with your customers, partner teams and the engineers on your team. Measuring the quality of your software and systems via instrumentation, observability, and customer usage patterns. Influence your team's technical decisions by making insightful contributions to team priorities and approach. Leverage AI in your daily work and delivery AI enabled insights and analytics to customers. Help in identifying and solving ambiguous problems, or areas where your team's software bottlenecks the innovation of other teams. Your background and who you are: You have a background in software engineering and a passion to learn. You've made mistakes in the past and have learned a lot from them. You apply this learning regularly. You are well versed in software engineering fundamentals and love to apply that craft towards data-centric applications. You believe there are generally multiple ways to solve a technical problem, each with different trade-offs. You approach projects, tasks, and unknowns with curiosity, and enjoy sharing what you know and learn with the people around you. You believe that a team is strongest when it is diverse and includes multiple perspectives. You are able to put yourself into your customer's shoes. You frequently immerse yourself in the customer experience to understand how you can better serve them. Qualifications: BS in Computer Science or related field, or an equivalent in relevant work experience. Experience in software development, including experience with at least one modern language such as Python, Java, C++, or C# including object-oriented design with an understanding of advanced design patterns. Experience in cloud-first design, preferably AWS (Serverless infrastructure, dynamic autoscaling, container orchestration, etc.). Experience in data architecture, databases (e.g., PostgreSQL, MySQL, Oracle), SQL and DDD/ER/ORM design. Interest and curiosity in emerging technologies on the web like GraphQL, web assembly, Lambda functions, MLaaS etc. Knowledge of software engineering practices & best practices for the software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here . Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships. Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential. Role-model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset. Encourage agile thinking and adaptability within the team. Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals. Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow. Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust. Highly organized, efficient, and detail-oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
29/07/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships. Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential. Role-model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset. Encourage agile thinking and adaptability within the team. Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals. Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow. Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust. Highly organized, efficient, and detail-oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Principal ArchitectApplylocations: London: Oxfordtime type: Full timeposted on: Posted Todayjob requisition id: R111968 Principal Architect Are you passionate about designing future ready systems that balance performance, reliability, and simplicity? Do you thrive on setting technical direction and influencing engineering strategy across teams? About the team: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. About the role: This position contributes to the definition of Enterprise Architecture within Elsevier, specifically related to the Shared Technologies that underpin our product portfolio. You will be responsible for driving forward the architecture strategy for Identity and Access, Enterprise API Management and the secure adoption and delivery of agentic AI solutions across the shared platforms that underpin all of Elsevier's products.Responsibilities include governing adherence to architectural principles and standards and working with architects and senior architects as a key interaction point for communication, evangelism, governance, and feedback. The position also requires working closely alongside our engineering, product, and business partners to understand their strategies and enable timely, efficient, and governed delivery of solutions to support them. Key responsibilities: Translate business needs and technology direction into scalable architectural solutions. Communicate complex technical concepts in a clear, business focused manner to support decision making. Partner with architects across the organization to ensure alignment, governance, and shared architectural direction. Collaborate with product and business strategy teams to anticipate long term technological needs. Evaluate new technologies and potential acquisitions as required. Define and implement technology strategies that promote standardization, reuse, and simplification. Plan for the evolution, retirement, and replacement of systems within the business unit. Provide architectural leadership and promote software engineering best practices. Review and approve changes to infrastructure components and subsystems. Lead architectural design for large scale development efforts. Act as a bridge between enterprise architecture and engineering teams. Work collaboratively with architects across different groups to ensure cohesive solutions. Introduce and support teams in adopting new technologies. Lead teams in identifying and resolving complex technical challenges. Present findings, risks, and solution options to support informed decision making. Guide technical direction and architectural evolution through reviews and hands on leadership. Identify opportunities to evolve components into shared infrastructure. Stay current with industry and technology advancements and explore opportunities to apply them. Advocate for and support the adoption of shared technologies across business units. Collaborate closely with shared technology teams to provide architectural guidance and support. Requirements: Qualifications Extensive experience (typically 15+ years) in software, network, or systems architecture. Significant experience leading cross functional or cross product architectural initiatives with measurable enterprise impact. Degree in Engineering or Computer Science, or equivalent practical experience Technical Skills Deep expertise in architectural design and governance. Strong understanding of programming concepts, databases, and modern engineering practices. Experience leading complex technical projects and collaborating with customers or external partners. Ability to work with vendors to align technology strategies with organizational architecture goals. Innovative mindset with experience in modern technologies, security, and infrastructure. Advanced skills in planning, prioritization, and managing multiple initiatives across teams. Strong problem solving abilities, including guiding teams through diagnosing and resolving complex issues. Clear and effective communication skills, with the ability to present technical concepts to diverse audiences, including senior leadership. Strong research and analytical skills. Ability to develop architectural business cases aligned with enterprise strategy. Expertise in APIs, API management, and API governance. Strong knowledge of modern authentication and authorization protocols (e.g., OAuth2, OIDC). Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
29/07/2026
Full time
Principal ArchitectApplylocations: London: Oxfordtime type: Full timeposted on: Posted Todayjob requisition id: R111968 Principal Architect Are you passionate about designing future ready systems that balance performance, reliability, and simplicity? Do you thrive on setting technical direction and influencing engineering strategy across teams? About the team: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. About the role: This position contributes to the definition of Enterprise Architecture within Elsevier, specifically related to the Shared Technologies that underpin our product portfolio. You will be responsible for driving forward the architecture strategy for Identity and Access, Enterprise API Management and the secure adoption and delivery of agentic AI solutions across the shared platforms that underpin all of Elsevier's products.Responsibilities include governing adherence to architectural principles and standards and working with architects and senior architects as a key interaction point for communication, evangelism, governance, and feedback. The position also requires working closely alongside our engineering, product, and business partners to understand their strategies and enable timely, efficient, and governed delivery of solutions to support them. Key responsibilities: Translate business needs and technology direction into scalable architectural solutions. Communicate complex technical concepts in a clear, business focused manner to support decision making. Partner with architects across the organization to ensure alignment, governance, and shared architectural direction. Collaborate with product and business strategy teams to anticipate long term technological needs. Evaluate new technologies and potential acquisitions as required. Define and implement technology strategies that promote standardization, reuse, and simplification. Plan for the evolution, retirement, and replacement of systems within the business unit. Provide architectural leadership and promote software engineering best practices. Review and approve changes to infrastructure components and subsystems. Lead architectural design for large scale development efforts. Act as a bridge between enterprise architecture and engineering teams. Work collaboratively with architects across different groups to ensure cohesive solutions. Introduce and support teams in adopting new technologies. Lead teams in identifying and resolving complex technical challenges. Present findings, risks, and solution options to support informed decision making. Guide technical direction and architectural evolution through reviews and hands on leadership. Identify opportunities to evolve components into shared infrastructure. Stay current with industry and technology advancements and explore opportunities to apply them. Advocate for and support the adoption of shared technologies across business units. Collaborate closely with shared technology teams to provide architectural guidance and support. Requirements: Qualifications Extensive experience (typically 15+ years) in software, network, or systems architecture. Significant experience leading cross functional or cross product architectural initiatives with measurable enterprise impact. Degree in Engineering or Computer Science, or equivalent practical experience Technical Skills Deep expertise in architectural design and governance. Strong understanding of programming concepts, databases, and modern engineering practices. Experience leading complex technical projects and collaborating with customers or external partners. Ability to work with vendors to align technology strategies with organizational architecture goals. Innovative mindset with experience in modern technologies, security, and infrastructure. Advanced skills in planning, prioritization, and managing multiple initiatives across teams. Strong problem solving abilities, including guiding teams through diagnosing and resolving complex issues. Clear and effective communication skills, with the ability to present technical concepts to diverse audiences, including senior leadership. Strong research and analytical skills. Ability to develop architectural business cases aligned with enterprise strategy. Expertise in APIs, API management, and API governance. Strong knowledge of modern authentication and authorization protocols (e.g., OAuth2, OIDC). Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front office role at the intersection of quantitative finance, AI, and product development - focused on building and evolving the firm's AI powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable - by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types - from signal generation and backtesting to risk analysis and research analytics - while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high value use cases for the platform. Determine the right balance between AI autonomy and structured tooling - deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose built code it should call - and build accordingly. Work with front office stakeholders to turn desk needs into well defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities Prototype and validate quantitative workflows end to end - from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis - while defining how the AI should interact with data sources, analytics libraries, desk specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high quality platform code and quantitative libraries - including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform's ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm - trading desks, risk management, researchers, new joiners, and others - to discover emerging use cases and adapt the platform's capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users - diagnosing issues, feeding insights back into platform development, and ensuring a high quality user experience. Qualifications and Experience Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3-7 years' experience in a front office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills - able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem solving ability, intellectual curiosity, and comfort working across team boundaries in a fast paced trading environment. Strong ability to quickly learn and adapt to new technologies - particularly important given the rapid pace of development in AI.
29/07/2026
Full time
We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front office role at the intersection of quantitative finance, AI, and product development - focused on building and evolving the firm's AI powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable - by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types - from signal generation and backtesting to risk analysis and research analytics - while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high value use cases for the platform. Determine the right balance between AI autonomy and structured tooling - deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose built code it should call - and build accordingly. Work with front office stakeholders to turn desk needs into well defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities Prototype and validate quantitative workflows end to end - from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis - while defining how the AI should interact with data sources, analytics libraries, desk specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high quality platform code and quantitative libraries - including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform's ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm - trading desks, risk management, researchers, new joiners, and others - to discover emerging use cases and adapt the platform's capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users - diagnosing issues, feeding insights back into platform development, and ensuring a high quality user experience. Qualifications and Experience Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3-7 years' experience in a front office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills - able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem solving ability, intellectual curiosity, and comfort working across team boundaries in a fast paced trading environment. Strong ability to quickly learn and adapt to new technologies - particularly important given the rapid pace of development in AI.
