The Business Systems Architect serves as the strategic technical lead for the business's core systems and digital transformation.
The core purpose of this role is to design, implement, and optimise enterprise-wide technology solutions that actively drive business change.
Enhancing critical platforms such as IFS Cloud, EDI, and modern API integration, as well as pioneering new capabilities like AI and advanced barcoding / QR integration, the Business Systems Architect ensures our technology infrastructure robustly supports operational efficiency, supply chain visibility, and Rodda's future growth.
This role acts as the bridge between complex technical requirements and tangible business outcomes. What are we looking for?
System Architecture and Integration
Lead the architectural design, administration, and continuous improvement of IFS Cloud .
Lead the Systems and Process team with collaborative inter-departmental working.
Architect, develop, and maintain secure API integrations between internal systems, legacy applications, and third-party platforms.
Enhancement of existing platforms into standardised mandatory business processes.
Oversee existing and potentially new EDI solutions to ensure seamless, automated data flow with our supply key customers whilst planning for enhanced connectivity in both forecasting and supply chain.
Maintain a holistic view of the company's technical architecture, ensuring all systems communicate effectively and securely.
Innovation and Business Change
Act as a primary driver for technology-driven business change, partnering with department heads to translate complex business challenges into clear technical requirements.
Drive the exploration, evaluation, and implementation of AI integrations both Generative and Agentic to optimise manufacturing, supply chain, and administrative processes. Develop where necessary but lead towards success.
Lead barcoding integration initiatives to enhance traceability, inventory management, and factory-floor efficiency with future work on the Hyper-traceability initiative and QR code replacement
Champion new technologies and agile methodologies to keep the business at the forefront of industry.
Project Leadership and Support
Design future operating models for new technology deployments, ensuring successful end-to-end delivery.
Compile comprehensive architectural documentation, system workflows, and integration maps.
Provide high-level (3rd line) escalation support and technical mentorship to the wider IT Helpdesk and System & Process teams.
Be part of the on-call rota supporting the business and employees.
Ensure all architectural designs comply with internal data security, GDPR DPO, and disaster recovery standards.
Work closely with Suppliers to deliver solutions to projects whilst maintaining a high-level of technical documentation.
20/07/2026
Full time
The Business Systems Architect serves as the strategic technical lead for the business's core systems and digital transformation.
The core purpose of this role is to design, implement, and optimise enterprise-wide technology solutions that actively drive business change.
Enhancing critical platforms such as IFS Cloud, EDI, and modern API integration, as well as pioneering new capabilities like AI and advanced barcoding / QR integration, the Business Systems Architect ensures our technology infrastructure robustly supports operational efficiency, supply chain visibility, and Rodda's future growth.
This role acts as the bridge between complex technical requirements and tangible business outcomes. What are we looking for?
System Architecture and Integration
Lead the architectural design, administration, and continuous improvement of IFS Cloud .
Lead the Systems and Process team with collaborative inter-departmental working.
Architect, develop, and maintain secure API integrations between internal systems, legacy applications, and third-party platforms.
Enhancement of existing platforms into standardised mandatory business processes.
Oversee existing and potentially new EDI solutions to ensure seamless, automated data flow with our supply key customers whilst planning for enhanced connectivity in both forecasting and supply chain.
Maintain a holistic view of the company's technical architecture, ensuring all systems communicate effectively and securely.
Innovation and Business Change
Act as a primary driver for technology-driven business change, partnering with department heads to translate complex business challenges into clear technical requirements.
Drive the exploration, evaluation, and implementation of AI integrations both Generative and Agentic to optimise manufacturing, supply chain, and administrative processes. Develop where necessary but lead towards success.
Lead barcoding integration initiatives to enhance traceability, inventory management, and factory-floor efficiency with future work on the Hyper-traceability initiative and QR code replacement
Champion new technologies and agile methodologies to keep the business at the forefront of industry.
Project Leadership and Support
Design future operating models for new technology deployments, ensuring successful end-to-end delivery.
Compile comprehensive architectural documentation, system workflows, and integration maps.
Provide high-level (3rd line) escalation support and technical mentorship to the wider IT Helpdesk and System & Process teams.
Be part of the on-call rota supporting the business and employees.
Ensure all architectural designs comply with internal data security, GDPR DPO, and disaster recovery standards.
Work closely with Suppliers to deliver solutions to projects whilst maintaining a high-level of technical documentation.
At AQA, we're committed to advancing education and we're committed to our people. As the largest provider of academic qualifications in the UK, we mark over 10 million exam papers each year and it's our people who make this happen. Salary and location Machine Learning Engineer (Education Research) Permanent Manchester: £34,000 - £36,900 / Milton Keynes: £35,400 - £38,400 Working Arrangements; Hybrid - two days per week in the office Introduction AQA is building its AI for assessment capability and is looking for a junior machine learning engineer who wants to apply AI and machine learning to meaningful educational challenges. This is a distinctive early-career opportunity to work across the full applied machine learning lifecycle: researching and testing new approaches, evaluating them rigorously, and helping turn successful prototypes into reliable capabilities that can be deployed within assessment products and services. You will join AQA's in-house AI for assessment lab and work alongside experienced AI researchers, software developers, product teams, psychometricians and assessment experts. You will receive support to develop both your research and engineering skills while contributing to work with real educational purpose. Purpose of the role You will contribute to the research, development and productionisation of AI capabilities for educational assessment. These may include automated marking, feedback generation, learner support, skill estimation, proficiency modelling and adaptive testing. The role combines applied research with practical engineering. You will help investigate and validate promising approaches, then work collaboratively with technical and product colleagues to turn successful research into reproducible, maintainable and deployable machine learning capabilities. Key responsibilities Design, develop and refine machine learning models and prototypes that support educational assessment, helping to translate assessment needs into practical AI solutions and providing evidence for future development decisions. Evaluate model performance against technical and assessment measures, including accuracy, fairness, bias, reliability and alignment with human marking standards, while ensuring methods and results are clearly documented and reproducible. Work collaboratively with AI researchers, developers, psychometricians and product teams to build, deploy and continuously improve machine learning solutions, developing robust engineering practices and end-to-end experience across the full AI lifecycle. What we are looking for Essential Strong Python skills, with practical experience using relevant data and machine learning libraries such as NumPy, Pandas and scikit-learn. Practical experience with at least one deep-learning framework, such as PyTorch or TensorFlow. A good foundation in machine learning, including supervised learning and model evaluation. A good understanding of the machine learning lifecycle, from data ingestion and cleaning through to model development and validation. An interest in education or educational assessment and motivation to apply technology in support of AQA's mission. Strong communication and collaboration skills, including the ability to explain technical ideas clearly and learn from colleagues across different disciplines. Desirable NLP knowledge or experience relevant to text-based assessment. Familiarity with NLP libraries or frameworks such as Hugging Face Transformers or spaCy. Experience of, or exposure to, building end-to-end machine learning systems, including deployment. Familiarity with software-engineering practices such as version control, testing, code review and technical documentation. Exposure to sequential modelling. Experience working with multimodal data, including data processing and synchronisation. What's in it for you This is an opportunity to build an applied AI career in an environment combining research, engineering and real educational purpose. Unlike many early-career research roles, you will have the opportunity to follow promising work beyond the prototype: learning how models are evaluated, engineered, integrated and deployed within real products and services. You will gain practical experience across the full machine learning lifecycle while working with experienced specialists in AI, software development, product development, psychometrics and educational assessment. Contribute to AI capabilities in areas such as automated marking, personalised feedback, item generation and learner support Develop practical experience of both applied ML research and production engineering Learn how responsible AI capabilities are tested, deployed, monitored and improved See how your work contributes to products and services used to address meaningful educational needs A 35 hour working week with flexible, hybrid working 25 days' annual leave (rising to 30), plus Christmas closure days Excellent pension (up to 11.5% employer contribution) etc Diversity and Inclusion Statement At AQA, we are committed to fostering a workplace that celebrates diversity and promotes equity and inclusion. We believe that a diverse team brings richer perspectives and drives better outcomes. Our ED&I strategy ensures that everyone-regardless of religion, ethnicity, gender identity or expression, age, disability, sexual orientation, or background-is valued, respected, and empowered to thrive. We actively promote inclusive language, avoid stereotypes, and strive for representation across all dimensions of diversity. We welcome applications from individuals of all backgrounds and lived experiences. Application Process To apply, please submit your CV through the AQA careers site. Applications close on Sunday 9 August 2026. Stage 1: a 30-minute Teams interview where you will talk through the shared project or artefact and discuss the technical decisions behind it. Stage 2: a face-to-face interview in Manchester or Milton Keynes, focused on your wider professional experience, collaboration style and motivation for educational assessment. Stage 2: a face-to-face interview in Manchester or Milton Keynes, focused on your wider professional experience, collaboration style and motivation for educational assessment. Recruitment We have a preferred supplier list (PSL) in place. Unsolicited CVs will be treated as a gift. We will not be subject to or liable under your terms and conditions for agency fees. Full Job Description Summary Accountable to the Head of AI for Assessment Innovation, the overall purpose of this role is to develop models and algorithms as required by new assessment products and services. The post holder will research and develop AI capabilities that can enable new assessment products, increase the breadth of assessment services on offer and help shape long-term tech innovation and solutions. They will ideate and develop proofs of concept and prototypes and ensure they are cutting-edge, relevant and fit-for-purpose.Research, development and evaluation of AI solutions for assessment are key enablers in a range of diversification, digitisation and customer programmes. The AI for Assessment Innovation team is AQA's in-house AI for assessment lab, providing services and solutions alongside and in collaboration with contractors and partners. The team's responsibilities are: Research and development of AI features for new products or as part of contracted services EdTech partnership support through targeted evaluations and testing of third-party AI tools Providing AI for assessment expertise to the whole AQA group and advancing AQA's knowledge and know-how The role sits within the AI for Assessment Innovations team, in the Assessment Research and Innovation business area. Reporting to the Head of AI for Assessment, the role collaborates with a team of AI researchers, developers and managers and will have line management responsibility for AI for Assessment apprentices. Activities: AI model development for assessmentDesign, build, and refine machine learning models that support educational assessment use cases, such as automated marking (e.g., essays, short answers), feedback generation and learner support, skill estimation, proficiency modelling, and adaptive testing. Select appropriate modelling approaches (e.g., NLP models, classical ML, or deep learning) based on pedagogical and product requirements. Conduct rigorous experimentation, including hyperparameter tuning and ablation studies, to improve model performance and fairness. Educational assessment researchWork with complex educational datasets (e.g., learner responses, interaction logs, assessment outcomes). Design evaluation frameworks that go beyond accuracy to include fairness and bias across learner groups, marking reliability and consistency, alignment with human marking standards and mark schemes Work closely with psychometricians, assessment experts and product teams to translate educational requirements into technical solutions. Incorporate domain knowledge (e.g., marking schemes, assessment objectives, curriculum standards) into model design. From prototype to operationalisationDevelop scalable pipelines for data processing, model training, validation, and deployment. Collaborate and support the teams responsible for integrating models into production systems Contribute to CI/CD workflows, model versioning, and reproducibility practices. Responsible AI and governanceIdentify, assess, and mitigate risks related to bias, fairness, and misuse in assessment AI systems . click apply for full job details
27/07/2026
Full time
At AQA, we're committed to advancing education and we're committed to our people. As the largest provider of academic qualifications in the UK, we mark over 10 million exam papers each year and it's our people who make this happen. Salary and location Machine Learning Engineer (Education Research) Permanent Manchester: £34,000 - £36,900 / Milton Keynes: £35,400 - £38,400 Working Arrangements; Hybrid - two days per week in the office Introduction AQA is building its AI for assessment capability and is looking for a junior machine learning engineer who wants to apply AI and machine learning to meaningful educational challenges. This is a distinctive early-career opportunity to work across the full applied machine learning lifecycle: researching and testing new approaches, evaluating them rigorously, and helping turn successful prototypes into reliable capabilities that can be deployed within assessment products and services. You will join AQA's in-house AI for assessment lab and work alongside experienced AI researchers, software developers, product teams, psychometricians and assessment experts. You will receive support to develop both your research and engineering skills while contributing to work with real educational purpose. Purpose of the role You will contribute to the research, development and productionisation of AI capabilities for educational assessment. These may include automated marking, feedback generation, learner support, skill estimation, proficiency modelling and adaptive testing. The role combines applied research with practical engineering. You will help investigate and validate promising approaches, then work collaboratively with technical and product colleagues to turn successful research into reproducible, maintainable and deployable machine learning capabilities. Key responsibilities Design, develop and refine machine learning models and prototypes that support educational assessment, helping to translate assessment needs into practical AI solutions and providing evidence for future development decisions. Evaluate model performance against technical and assessment measures, including accuracy, fairness, bias, reliability and alignment with human marking standards, while ensuring methods and results are clearly documented and reproducible. Work collaboratively with AI researchers, developers, psychometricians and product teams to build, deploy and continuously improve machine learning solutions, developing robust engineering practices and end-to-end experience across the full AI lifecycle. What we are looking for Essential Strong Python skills, with practical experience using relevant data and machine learning libraries such as NumPy, Pandas and scikit-learn. Practical experience with at least one deep-learning framework, such as PyTorch or TensorFlow. A good foundation in machine learning, including supervised learning and model evaluation. A good understanding of the machine learning lifecycle, from data ingestion and cleaning through to model development and validation. An interest in education or educational assessment and motivation to apply technology in support of AQA's mission. Strong communication and collaboration skills, including the ability to explain technical ideas clearly and learn from colleagues across different disciplines. Desirable NLP knowledge or experience relevant to text-based assessment. Familiarity with NLP libraries or frameworks such as Hugging Face Transformers or spaCy. Experience of, or exposure to, building end-to-end machine learning systems, including deployment. Familiarity with software-engineering practices such as version control, testing, code review and technical documentation. Exposure to sequential modelling. Experience working with multimodal data, including data processing and synchronisation. What's in it for you This is an opportunity to build an applied AI career in an environment combining research, engineering and real educational purpose. Unlike many early-career research roles, you will have the opportunity to follow promising work beyond the prototype: learning how models are evaluated, engineered, integrated and deployed within real products and services. You will gain practical experience across the full machine learning lifecycle while working with experienced specialists in AI, software development, product development, psychometrics and educational assessment. Contribute to AI capabilities in areas such as automated marking, personalised feedback, item generation and learner support Develop practical experience of both applied ML research and production engineering Learn how responsible AI capabilities are tested, deployed, monitored and improved See how your work contributes to products and services used to address meaningful educational needs A 35 hour working week with flexible, hybrid working 25 days' annual leave (rising to 30), plus Christmas closure days Excellent pension (up to 11.5% employer contribution) etc Diversity and Inclusion Statement At AQA, we are committed to fostering a workplace that celebrates diversity and promotes equity and inclusion. We believe that a diverse team brings richer perspectives and drives better outcomes. Our ED&I strategy ensures that everyone-regardless of religion, ethnicity, gender identity or expression, age, disability, sexual orientation, or background-is valued, respected, and empowered to thrive. We actively promote inclusive language, avoid stereotypes, and strive for representation across all dimensions of diversity. We welcome applications from individuals of all backgrounds and lived experiences. Application Process To apply, please submit your CV through the AQA careers site. Applications close on Sunday 9 August 2026. Stage 1: a 30-minute Teams interview where you will talk through the shared project or artefact and discuss the technical decisions behind it. Stage 2: a face-to-face interview in Manchester or Milton Keynes, focused on your wider professional experience, collaboration style and motivation for educational assessment. Stage 2: a face-to-face interview in Manchester or Milton Keynes, focused on your wider professional experience, collaboration style and motivation for educational assessment. Recruitment We have a preferred supplier list (PSL) in place. Unsolicited CVs will be treated as a gift. We will not be subject to or liable under your terms and conditions for agency fees. Full Job Description Summary Accountable to the Head of AI for Assessment Innovation, the overall purpose of this role is to develop models and algorithms as required by new assessment products and services. The post holder will research and develop AI capabilities that can enable new assessment products, increase the breadth of assessment services on offer and help shape long-term tech innovation and solutions. They will ideate and develop proofs of concept and prototypes and ensure they are cutting-edge, relevant and fit-for-purpose.Research, development and evaluation of AI solutions for assessment are key enablers in a range of diversification, digitisation and customer programmes. The AI for Assessment Innovation team is AQA's in-house AI for assessment lab, providing services and solutions alongside and in collaboration with contractors and partners. The team's responsibilities are: Research and development of AI features for new products or as part of contracted services EdTech partnership support through targeted evaluations and testing of third-party AI tools Providing AI for assessment expertise to the whole AQA group and advancing AQA's knowledge and know-how The role sits within the AI for Assessment Innovations team, in the Assessment Research and Innovation business area. Reporting to the Head of AI for Assessment, the role collaborates with a team of AI researchers, developers and managers and will have line management responsibility for AI for Assessment apprentices. Activities: AI model development for assessmentDesign, build, and refine machine learning models that support educational assessment use cases, such as automated marking (e.g., essays, short answers), feedback generation and learner support, skill estimation, proficiency modelling, and adaptive testing. Select appropriate modelling approaches (e.g., NLP models, classical ML, or deep learning) based on pedagogical and product requirements. Conduct rigorous experimentation, including hyperparameter tuning and ablation studies, to improve model performance and fairness. Educational assessment researchWork with complex educational datasets (e.g., learner responses, interaction logs, assessment outcomes). Design evaluation frameworks that go beyond accuracy to include fairness and bias across learner groups, marking reliability and consistency, alignment with human marking standards and mark schemes Work closely with psychometricians, assessment experts and product teams to translate educational requirements into technical solutions. Incorporate domain knowledge (e.g., marking schemes, assessment objectives, curriculum standards) into model design. From prototype to operationalisationDevelop scalable pipelines for data processing, model training, validation, and deployment. Collaborate and support the teams responsible for integrating models into production systems Contribute to CI/CD workflows, model versioning, and reproducibility practices. Responsible AI and governanceIdentify, assess, and mitigate risks related to bias, fairness, and misuse in assessment AI systems . click apply for full job details
Cloud EngineerTitle: Cloud EngineerDepartment: Procode ITLocation: RemoteSalary: Circa £65,000 + Discretionary Bonus SchemeSponsorship: Unfortunately, we are unable to offer sponsorship for this roleAre you a Cloud Engineer with extensive knowledge with Terraform across AWS, Azure or both?Are you ready to tackle complex multi-cloud challenges?Do you excel at designing secure, scalable architectures and automating deployments across platforms? If leveraging the best of both clouds to deliver innovative, future-ready solutions excites you, this is your opportunity to make a real impact.About usWe are a leading UK technology company delivering transformative, data driven solutions for the energy sector and beyond. With two decades of experience, we help organisations unlock the power of smart data to improve efficiency, reduce cost to serve, and enhance customer experience.Trusted by millions of households and major industry partners, our innovative platforms and energy data management solutions support a smarter, more sustainable future. Our passionate team of problem solvers is committed to building technology that truly makes a difference, and our promise is to put customers at the heart of everything we do.What does this role involve?As a Cloud Engineer, you'll be at the heart of our cloud transformation journey. You will design, deploy, and manage AWS, Azure or both infrastructure that powers production workloads across networking, storage, and application services.You will build resilient, secure, and observable cloud services using AWS, Azure or both technologies, ensuring our platforms are robust and future ready. This role spans the full lifecycle, from architecting and building new cloud services to migrating traditional infrastructure into a modern, scalable environment.You will be hands-on with infrastructure design, automation, observability, and cross-cloud security integrations, while collaborating closely with stakeholders to turn requirements into real-world solutions.Who are we looking for?Cloud experience: Strong experience in designing and managing AWS, Azure or both services and Terraform for production environments.Migration: Proven track record of moving traditional infrastructure into the cloud.Security & Observability: Understanding of best practices for building secure, monitored, and resilient systems.Automation & CI/CD: Familiarity with tools and practices that streamline deployments and improve reliability.Collaboration Skills: Ability to work with technical teams and business stakeholders, translating requirements into solutions.Although the role is remote, we do require the team to come to our Chandlers Ford head office for team collaboration days.This role will involve on-call working on a rota basis (24/7)To be successful in this role you will be required to pass an enhanced security vetting process.Technical environment:AWS: EC2, ECS, S3, RDS, VPC, Lambda, IAM)Azure: Azure SQL, Azure Entra ID, Azure DevOps, Azure Container Apps, API Management Services, Azure FunctionsInfrastructure as Code & Automation: Terraform / OpenTofu / Scalr., Octopus Deploy (or similar), CI/CD pipelines, Azure DevOps, PowerShell Scripting, Azure CLIScripting: PowerShell, Python, or BashContainerization & Orchestration: Docker, container registry (ACR)CI/CD implementation: Azure DevOps Pipelines and YAML automationMonitoring & Observability: Datadog, Grafana Cloud, OpenTelemetry, CloudWatch, Prometheus, LokiBenefits - available from day one!Bonus Scheme, made up of personal and company elements.Career progression, we're an expanding organisation.25 days annual leave plus bank holidays.Pension scheme, company contribution at 4% of your salary when you contribute 5%.Our Chandlers Ford office offers access to a free, fully equipped onsite gym, along with showers and changing facilities.The opportunity to win tickets to major outdoor events including, gigs and shows at arenas around the UK.We offer an EV car scheme. Qualifying terms and conditions apply.A health care scheme that includes dental, eye care, treatments, and diagnostics health consultations.Death in service - we pay three times your annual salary to your designated next of kin, giving them peace of mind should you sadly pass away during service.Employee Assistance Programme with access to counselling support, legal and financial advice 24/7 365 days a year, as well as a GP line and Your Care.We also offer all our staff a paid volunteering day every year. Plus, the chance to be involved in various fund-raising opportunities.Our employees, just like our customers come from all walks of life, and we're fuelled in championing diversity, inspiring an inclusive culture, and enabling an environment where you can be your authentic self.The Luxion Group comprises of the following companies - Luxion Group Ltd, Utilita Energy Ltd, Luxion Sales Ltd, Utilita Field Services Ltd, Procode Technology Ltd and Canary Care Global Ltd.
27/07/2026
Full time
Cloud EngineerTitle: Cloud EngineerDepartment: Procode ITLocation: RemoteSalary: Circa £65,000 + Discretionary Bonus SchemeSponsorship: Unfortunately, we are unable to offer sponsorship for this roleAre you a Cloud Engineer with extensive knowledge with Terraform across AWS, Azure or both?Are you ready to tackle complex multi-cloud challenges?Do you excel at designing secure, scalable architectures and automating deployments across platforms? If leveraging the best of both clouds to deliver innovative, future-ready solutions excites you, this is your opportunity to make a real impact.About usWe are a leading UK technology company delivering transformative, data driven solutions for the energy sector and beyond. With two decades of experience, we help organisations unlock the power of smart data to improve efficiency, reduce cost to serve, and enhance customer experience.Trusted by millions of households and major industry partners, our innovative platforms and energy data management solutions support a smarter, more sustainable future. Our passionate team of problem solvers is committed to building technology that truly makes a difference, and our promise is to put customers at the heart of everything we do.What does this role involve?As a Cloud Engineer, you'll be at the heart of our cloud transformation journey. You will design, deploy, and manage AWS, Azure or both infrastructure that powers production workloads across networking, storage, and application services.You will build resilient, secure, and observable cloud services using AWS, Azure or both technologies, ensuring our platforms are robust and future ready. This role spans the full lifecycle, from architecting and building new cloud services to migrating traditional infrastructure into a modern, scalable environment.You will be hands-on with infrastructure design, automation, observability, and cross-cloud security integrations, while collaborating closely with stakeholders to turn requirements into real-world solutions.Who are we looking for?Cloud experience: Strong experience in designing and managing AWS, Azure or both services and Terraform for production environments.Migration: Proven track record of moving traditional infrastructure into the cloud.Security & Observability: Understanding of best practices for building secure, monitored, and resilient systems.Automation & CI/CD: Familiarity with tools and practices that streamline deployments and improve reliability.Collaboration Skills: Ability to work with technical teams and business stakeholders, translating requirements into solutions.Although the role is remote, we do require the team to come to our Chandlers Ford head office for team collaboration days.This role will involve on-call working on a rota basis (24/7)To be successful in this role you will be required to pass an enhanced security vetting process.Technical environment:AWS: EC2, ECS, S3, RDS, VPC, Lambda, IAM)Azure: Azure SQL, Azure Entra ID, Azure DevOps, Azure Container Apps, API Management Services, Azure FunctionsInfrastructure as Code & Automation: Terraform / OpenTofu / Scalr., Octopus Deploy (or similar), CI/CD pipelines, Azure DevOps, PowerShell Scripting, Azure CLIScripting: PowerShell, Python, or BashContainerization & Orchestration: Docker, container registry (ACR)CI/CD implementation: Azure DevOps Pipelines and YAML automationMonitoring & Observability: Datadog, Grafana Cloud, OpenTelemetry, CloudWatch, Prometheus, LokiBenefits - available from day one!Bonus Scheme, made up of personal and company elements.Career progression, we're an expanding organisation.25 days annual leave plus bank holidays.Pension scheme, company contribution at 4% of your salary when you contribute 5%.Our Chandlers Ford office offers access to a free, fully equipped onsite gym, along with showers and changing facilities.The opportunity to win tickets to major outdoor events including, gigs and shows at arenas around the UK.We offer an EV car scheme. Qualifying terms and conditions apply.A health care scheme that includes dental, eye care, treatments, and diagnostics health consultations.Death in service - we pay three times your annual salary to your designated next of kin, giving them peace of mind should you sadly pass away during service.Employee Assistance Programme with access to counselling support, legal and financial advice 24/7 365 days a year, as well as a GP line and Your Care.We also offer all our staff a paid volunteering day every year. Plus, the chance to be involved in various fund-raising opportunities.Our employees, just like our customers come from all walks of life, and we're fuelled in championing diversity, inspiring an inclusive culture, and enabling an environment where you can be your authentic self.The Luxion Group comprises of the following companies - Luxion Group Ltd, Utilita Energy Ltd, Luxion Sales Ltd, Utilita Field Services Ltd, Procode Technology Ltd and Canary Care Global Ltd.
About the Opportunity Amentum is seeking a talented and motivated Cloud Integration Engineer to join our growing cyber security team. As a Cloud Integration Engineer, you will be responsible for the design, development and support of Azure Integration Services, cloud infrastructure and automation solutions. Working within a collaborative engineering team, you will help deliver resilient, secure and scalable integration capabilities that underpin critical business services. This is an exciting opportunity to work with modern cloud technologies and play a key role in the evolution of our integration capabilities. Working closely with architecture, security, project delivery and operational teams, you will contribute to the delivery of innovative solutions that enhance operational resilience, support digital transformation and reduce organisational risk. Key Responsibilities Azure Integration Services Design, deploy, configure and maintain Azure Integration Services, including Azure Service Bus, Azure Data Factory, Azure API Management (APIM), Azure Functions and Logic Apps. Establish and maintain messaging services using Azure Service Bus queues, topics and subscriptions. Implement and support integration patterns, including message routing, orchestration and event-driven architectures. Configure and monitor dead-letter queues and integrate monitoring and alerting capabilities with Azure Monitor. Support API onboarding, configuration and lifecycle management within Azure API Management. Cloud Infrastructure & Security Design and deploy enterprise-grade Azure cloud infrastructure in accordance with organisational standards, security requirements and governance controls. Implement network segregation, resource segmentation and security controls to support secure integration architectures. Ensure all solutions comply with SSE cloud, cyber security and operational standards. Infrastructure as Code & Automation Develop, maintain and enhance Infrastructure-as-Code solutions using Terraform. Create reusable templates, modules and deployment patterns to support standardised infrastructure provisioning. Define Azure integration components and infrastructure through code-based deployment methods. DevOps & CI/CD Develop, maintain and support CI/CD pipelines to automate solution deployment, testing and release management activities. Integrate unit testing and integration testing into deployment pipelines. Support automation using GitHub Actions and other CI/CD tooling where appropriate. Data Integration & Transformation Design and implement data integration, migration and transformation solutions. Support the movement and transformation of data using Azure Data Factory and other Azure integration technologies. Develop and maintain standardised data models and transformation patterns. Operational Support Provide ongoing operational support for cloud and integration platforms. Support incident resolution, service improvements, change management activities and platform maintenance. Perform platform upgrades, patching and evergreen maintenance activities to ensure services remain secure and supportable. Stakeholder Engagement & Documentation Work collaboratively with integration, project delivery, operational support, architecture and business teams. Participate in design workshops, technical reviews and knowledge transfer activities. Produce and maintain technical documentation, support documentation and operational procedures. Contribute to low-level designs, implementation plans and solution architecture documentation where required. Here's What You'll Need A degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Designing and delivering cloud-based integration solutions. Azure networking and security services. GitHub Actions and automated deployment pipelines. Data migration, transformation and integration projects. Producing technical documentation and implementation plans. Azure API Management (APIM). Monitoring and supporting cloud services in a production environment. Scripting and automation using tools such as PowerShell or Python. Working in a regulated or security-conscious environment. Collaborating with technical and non-technical stakeholders. Our Culture Our values are built on a strong foundation of safety, integrity, and respect for every individual. People are at the heart of our mission, and we believe in supporting one another through a culture of care and collaboration. We strive to create a workplace where everyone feels they belong and can thrive. Supporting mental wellbeing and fostering a sense of connection are essential to how we work. When we embrace different perspectives and work together, we become more innovative, more agile, and more successful. We partner with VERCIDA, for greater online accessibility please visit to view and access our roles. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact . Welcome back! We encourage you to check on the status of your current job applications with us. You can also search for a list of our current job openings and see if there are any new positions that might be a good fit for you. Thank you for continued interest in employment with Amentum. For more than 100 years, Amentum has tackled the world’s toughest challenges to deliver agile and steadfast solutions to the U.S. government and its allies. With more than 50,000 employees on all seven continents and in more than 60 countries, Amentum delivers a broad range of operational support services to meet the critical needs of our clients. Our headquarters are in Chantilly, VA. Find us online at If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. If you need assistance, please reach out to EEO including Disability/Protected Veterans Labor Laws Posters Amentum has become aware of unauthorized individuals who are falsely using the Amentum name and /or logo in an attempt to solicit fees from potential job seekers. These deceptive and unauthorized individuals are soliciting money, promising placement in a position with Amentum. Please note any communication requesting any amount of money in exchange for employment with Amentum is fraudulent. These communications do not originate from Amentum and are not associated with the recruitment process. Amentum and its affiliates never charge candidates fees or payments of any kind in order to secure employment. As a precaution, we recommend you do not disclose personal or financial details to anyone as a response to an unsolicited email, social media, or dating website request. Amentum will never as ask for a placement fee or any other fee to expedite the hiring process. If you are contacted by anyone offering employment with Amentum, you should never be asked to pay a fee for recruiting. Amentum personnel will always send email from an identifiable corporate account (ending and never from a public email account like Yahoo!, Google, Gmail, or Hotmail. If you are contacted regarding a fraudulent employment proposal, we encourage you to alert your local law enforcement agency/police authority. To read more about Amentum’s commitment to ethics, please click here.
27/07/2026
Full time
About the Opportunity Amentum is seeking a talented and motivated Cloud Integration Engineer to join our growing cyber security team. As a Cloud Integration Engineer, you will be responsible for the design, development and support of Azure Integration Services, cloud infrastructure and automation solutions. Working within a collaborative engineering team, you will help deliver resilient, secure and scalable integration capabilities that underpin critical business services. This is an exciting opportunity to work with modern cloud technologies and play a key role in the evolution of our integration capabilities. Working closely with architecture, security, project delivery and operational teams, you will contribute to the delivery of innovative solutions that enhance operational resilience, support digital transformation and reduce organisational risk. Key Responsibilities Azure Integration Services Design, deploy, configure and maintain Azure Integration Services, including Azure Service Bus, Azure Data Factory, Azure API Management (APIM), Azure Functions and Logic Apps. Establish and maintain messaging services using Azure Service Bus queues, topics and subscriptions. Implement and support integration patterns, including message routing, orchestration and event-driven architectures. Configure and monitor dead-letter queues and integrate monitoring and alerting capabilities with Azure Monitor. Support API onboarding, configuration and lifecycle management within Azure API Management. Cloud Infrastructure & Security Design and deploy enterprise-grade Azure cloud infrastructure in accordance with organisational standards, security requirements and governance controls. Implement network segregation, resource segmentation and security controls to support secure integration architectures. Ensure all solutions comply with SSE cloud, cyber security and operational standards. Infrastructure as Code & Automation Develop, maintain and enhance Infrastructure-as-Code solutions using Terraform. Create reusable templates, modules and deployment patterns to support standardised infrastructure provisioning. Define Azure integration components and infrastructure through code-based deployment methods. DevOps & CI/CD Develop, maintain and support CI/CD pipelines to automate solution deployment, testing and release management activities. Integrate unit testing and integration testing into deployment pipelines. Support automation using GitHub Actions and other CI/CD tooling where appropriate. Data Integration & Transformation Design and implement data integration, migration and transformation solutions. Support the movement and transformation of data using Azure Data Factory and other Azure integration technologies. Develop and maintain standardised data models and transformation patterns. Operational Support Provide ongoing operational support for cloud and integration platforms. Support incident resolution, service improvements, change management activities and platform maintenance. Perform platform upgrades, patching and evergreen maintenance activities to ensure services remain secure and supportable. Stakeholder Engagement & Documentation Work collaboratively with integration, project delivery, operational support, architecture and business teams. Participate in design workshops, technical reviews and knowledge transfer activities. Produce and maintain technical documentation, support documentation and operational procedures. Contribute to low-level designs, implementation plans and solution architecture documentation where required. Here's What You'll Need A degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Designing and delivering cloud-based integration solutions. Azure networking and security services. GitHub Actions and automated deployment pipelines. Data migration, transformation and integration projects. Producing technical documentation and implementation plans. Azure API Management (APIM). Monitoring and supporting cloud services in a production environment. Scripting and automation using tools such as PowerShell or Python. Working in a regulated or security-conscious environment. Collaborating with technical and non-technical stakeholders. Our Culture Our values are built on a strong foundation of safety, integrity, and respect for every individual. People are at the heart of our mission, and we believe in supporting one another through a culture of care and collaboration. We strive to create a workplace where everyone feels they belong and can thrive. Supporting mental wellbeing and fostering a sense of connection are essential to how we work. When we embrace different perspectives and work together, we become more innovative, more agile, and more successful. We partner with VERCIDA, for greater online accessibility please visit to view and access our roles. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact . Welcome back! We encourage you to check on the status of your current job applications with us. You can also search for a list of our current job openings and see if there are any new positions that might be a good fit for you. Thank you for continued interest in employment with Amentum. For more than 100 years, Amentum has tackled the world’s toughest challenges to deliver agile and steadfast solutions to the U.S. government and its allies. With more than 50,000 employees on all seven continents and in more than 60 countries, Amentum delivers a broad range of operational support services to meet the critical needs of our clients. Our headquarters are in Chantilly, VA. Find us online at If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. If you need assistance, please reach out to EEO including Disability/Protected Veterans Labor Laws Posters Amentum has become aware of unauthorized individuals who are falsely using the Amentum name and /or logo in an attempt to solicit fees from potential job seekers. These deceptive and unauthorized individuals are soliciting money, promising placement in a position with Amentum. Please note any communication requesting any amount of money in exchange for employment with Amentum is fraudulent. These communications do not originate from Amentum and are not associated with the recruitment process. Amentum and its affiliates never charge candidates fees or payments of any kind in order to secure employment. As a precaution, we recommend you do not disclose personal or financial details to anyone as a response to an unsolicited email, social media, or dating website request. Amentum will never as ask for a placement fee or any other fee to expedite the hiring process. If you are contacted by anyone offering employment with Amentum, you should never be asked to pay a fee for recruiting. Amentum personnel will always send email from an identifiable corporate account (ending and never from a public email account like Yahoo!, Google, Gmail, or Hotmail. If you are contacted regarding a fraudulent employment proposal, we encourage you to alert your local law enforcement agency/police authority. To read more about Amentum’s commitment to ethics, please click here.
At the company, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we're serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration. We're currently expanding our engineering teams in London and looking for experienced Tech Leads. This is an individual contributor role with technical leadership scope, it's not a people management position. You'll drive the development of infrastructure features that shape our product's future from UI to database. It is a hybrid role based in our London office in Fitzrovia, with 3 days per week on-site. About the Team Our CRM group is expanding into a new, strategic area of the platform - and this is a rare opportunity to help build it from the ground up. The team is working on a product that doesn't fully exist yet, which means you'll be involved in shaping direction, validating ideas quickly, and driving them through to implementation, not just executing on a defined roadmap. It's a high-ownership, high-decision-making environment where you'll work closely with Product and GTM teams to deeply understand customer needs and translate them into something real. AI is central to the vision, not an afterthought - we're designing for where the space is heading over the next few years, not just optimising for today. We're a collaborative, full-stack team (Node.js and React) based in London, and we thrive on people who bring strong product sense, a bias for action, and the kind of founding-engineer mindset that's comfortable with ambiguity and energised by it. About the role You'll work with experienced and highly talented engineers who are passionate about what they do, using cutting edge technologies in a data- and impact-driven environment. We foster a culture of transparency, full ownership, teamwork, and a no-ego policy. Our engineering department consists of multiple groups, each responsible for a critical domain within the company product. With over 400 engineers, we operate in cross-functional teams, collaboratively defining, improving, building, and delivering features. What you will do Play a key in shaping our product architecture and engineering excellence. Evolve our architecture and engineering practices to support the ever-growing scale of users, features, and data. Work alongside experienced and highly skilled developers with cutting edge technologies. Collaborate closely with Product and Design teams, taking full ownership and responsibility from conception to post deployment in a fast paced, dynamic environment. Tech stack: React.js, Redux, Node.js, Ruby on Rails, AWS, Elasticsearch, Redis, MySQL. Prior experience with our tech stack is not required; we welcome people willing to learn. Requirements 6+ years of experience as a Software Engineer. Strong technical expertise with a proven track record of building products that people love and use daily. Full stack development experience, with a primary focus on backend. Experience developing large scale, user facing web products. Deep product understanding and a passion for creating software that delivers an exceptional user experience. Strong team player with excellent communication skills and empathy. Commitment to quality and simplicity in engineering and product development. Domain experience in adtech or martech is extremely beneficial but not a dealbreaker. 0-1 product development experience - hugely advantageous. What the company can offer you Opportunity to join a well funded, publicly listed company with big ambitions and strong growth potential. Competitive base salary, bonus, and RSUs. Private healthcare insurance, critical illness, and life insurance coverage. Pension contributions matched up to 7%. ClassPass membership. Buffet breakfast and lunch provided at the office, Monday to Thursday. Fully dedicated learning and development team that provides opportunities for employees to hone and gain new skills. Fun team events, socials and offsites. Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! We've been named "Best Place to Work" in the UK. A global, dynamic and passionate environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Warsaw, Sydney, São Paulo, and Tokyo.
27/07/2026
Full time
At the company, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we're serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration. We're currently expanding our engineering teams in London and looking for experienced Tech Leads. This is an individual contributor role with technical leadership scope, it's not a people management position. You'll drive the development of infrastructure features that shape our product's future from UI to database. It is a hybrid role based in our London office in Fitzrovia, with 3 days per week on-site. About the Team Our CRM group is expanding into a new, strategic area of the platform - and this is a rare opportunity to help build it from the ground up. The team is working on a product that doesn't fully exist yet, which means you'll be involved in shaping direction, validating ideas quickly, and driving them through to implementation, not just executing on a defined roadmap. It's a high-ownership, high-decision-making environment where you'll work closely with Product and GTM teams to deeply understand customer needs and translate them into something real. AI is central to the vision, not an afterthought - we're designing for where the space is heading over the next few years, not just optimising for today. We're a collaborative, full-stack team (Node.js and React) based in London, and we thrive on people who bring strong product sense, a bias for action, and the kind of founding-engineer mindset that's comfortable with ambiguity and energised by it. About the role You'll work with experienced and highly talented engineers who are passionate about what they do, using cutting edge technologies in a data- and impact-driven environment. We foster a culture of transparency, full ownership, teamwork, and a no-ego policy. Our engineering department consists of multiple groups, each responsible for a critical domain within the company product. With over 400 engineers, we operate in cross-functional teams, collaboratively defining, improving, building, and delivering features. What you will do Play a key in shaping our product architecture and engineering excellence. Evolve our architecture and engineering practices to support the ever-growing scale of users, features, and data. Work alongside experienced and highly skilled developers with cutting edge technologies. Collaborate closely with Product and Design teams, taking full ownership and responsibility from conception to post deployment in a fast paced, dynamic environment. Tech stack: React.js, Redux, Node.js, Ruby on Rails, AWS, Elasticsearch, Redis, MySQL. Prior experience with our tech stack is not required; we welcome people willing to learn. Requirements 6+ years of experience as a Software Engineer. Strong technical expertise with a proven track record of building products that people love and use daily. Full stack development experience, with a primary focus on backend. Experience developing large scale, user facing web products. Deep product understanding and a passion for creating software that delivers an exceptional user experience. Strong team player with excellent communication skills and empathy. Commitment to quality and simplicity in engineering and product development. Domain experience in adtech or martech is extremely beneficial but not a dealbreaker. 0-1 product development experience - hugely advantageous. What the company can offer you Opportunity to join a well funded, publicly listed company with big ambitions and strong growth potential. Competitive base salary, bonus, and RSUs. Private healthcare insurance, critical illness, and life insurance coverage. Pension contributions matched up to 7%. ClassPass membership. Buffet breakfast and lunch provided at the office, Monday to Thursday. Fully dedicated learning and development team that provides opportunities for employees to hone and gain new skills. Fun team events, socials and offsites. Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! We've been named "Best Place to Work" in the UK. A global, dynamic and passionate environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Warsaw, Sydney, São Paulo, and Tokyo.
Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies. As a Senior Lead Data Engineer at JPMorganChase within the Behavioral Insights Team, you will turn operational signals and platform data into actionable insights that improve reliability, risk/control health, and delivery efficiency. You will own the reliability and performance of reporting and analytics pipelines, define and govern SLIs/SLOs and error budgets, and automate data products (dashboards, scheduled reporting, and near-real-time views) that serve engineering, risk, and business stakeholders. You will also manage and mentor team members and uphold rigorous data management practices and controls. Job Responsibilities Change and release health - Track deployment frequency, change failure rate, lead time, and rollbacks; correlate changes to incidents/SLO impact; influence safer release practices. Capacity, performance, and scalability - Produce capacity forecasts, headroom and hotspot reporting; partner with engineering to validate scaling policies and performance budgets. FinOps and cost observability - Report spend by service/team/env; track unit economics (e.g., cost per transaction), rightsizing opportunities, commitment utilization, and tag compliance; highlight reliability-cost tradeoffs. Risk and controls compliance - Evidence guardrail adherence and control health (backup/restore posture, DR testing, patch/vulnerability closure, config drift); ensure metrics lineage and audit readiness. Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements. Data risk and controls - Monitor adherence to risk and control guidelines for data access and use. Data quality, reliability, and lineage - Define data contracts for telemetry sources; implement validation, anomaly detection, and reconciliation; document definitions (e.g., formulas, thresholds) and end to end data lineage from raw signals to KPIs and insights. Automation and self service - Deliver automated pipelines for scheduled reporting and near real time dashboards; enable RBAC controlled self service for teams and leadership. Stakeholder cadences and communication - Lead weekly reliability reviews and monthly leadership reviews; maintain action logs to closure; elevate risks early with data driven recommendations. People leadership - oversee workflow, prioritization, and delivery for junior data engineers and visualization researchers; mentor and support upskilling and career development. Applies reuse first, AI assisted practices within delivery and operational routines (e.g., validation automation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and advanced applied experience in data analytics/BI/ operations analytics. Strong SQL skills (CTEs, window functions, performance aware querying). Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI assisted outputs (e.g., model and design summaries or validation recommendations) before use, escalating when uncertain and following data handling requirements. Hands on experience building dashboards in Tableau/Power BI/Looker (or similar). Experience working with ITSM tools (e.g., ServiceNow or similar) and understanding incident/change/problem concepts. Strong data storytelling skills; ability to translate operational findings into practical improvements. Preferred qualifications Experience working with AWS and core concepts (accounts, regions, IAM, networking, compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt).
27/07/2026
Full time
Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies. As a Senior Lead Data Engineer at JPMorganChase within the Behavioral Insights Team, you will turn operational signals and platform data into actionable insights that improve reliability, risk/control health, and delivery efficiency. You will own the reliability and performance of reporting and analytics pipelines, define and govern SLIs/SLOs and error budgets, and automate data products (dashboards, scheduled reporting, and near-real-time views) that serve engineering, risk, and business stakeholders. You will also manage and mentor team members and uphold rigorous data management practices and controls. Job Responsibilities Change and release health - Track deployment frequency, change failure rate, lead time, and rollbacks; correlate changes to incidents/SLO impact; influence safer release practices. Capacity, performance, and scalability - Produce capacity forecasts, headroom and hotspot reporting; partner with engineering to validate scaling policies and performance budgets. FinOps and cost observability - Report spend by service/team/env; track unit economics (e.g., cost per transaction), rightsizing opportunities, commitment utilization, and tag compliance; highlight reliability-cost tradeoffs. Risk and controls compliance - Evidence guardrail adherence and control health (backup/restore posture, DR testing, patch/vulnerability closure, config drift); ensure metrics lineage and audit readiness. Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements. Data risk and controls - Monitor adherence to risk and control guidelines for data access and use. Data quality, reliability, and lineage - Define data contracts for telemetry sources; implement validation, anomaly detection, and reconciliation; document definitions (e.g., formulas, thresholds) and end to end data lineage from raw signals to KPIs and insights. Automation and self service - Deliver automated pipelines for scheduled reporting and near real time dashboards; enable RBAC controlled self service for teams and leadership. Stakeholder cadences and communication - Lead weekly reliability reviews and monthly leadership reviews; maintain action logs to closure; elevate risks early with data driven recommendations. People leadership - oversee workflow, prioritization, and delivery for junior data engineers and visualization researchers; mentor and support upskilling and career development. Applies reuse first, AI assisted practices within delivery and operational routines (e.g., validation automation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and advanced applied experience in data analytics/BI/ operations analytics. Strong SQL skills (CTEs, window functions, performance aware querying). Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI assisted outputs (e.g., model and design summaries or validation recommendations) before use, escalating when uncertain and following data handling requirements. Hands on experience building dashboards in Tableau/Power BI/Looker (or similar). Experience working with ITSM tools (e.g., ServiceNow or similar) and understanding incident/change/problem concepts. Strong data storytelling skills; ability to translate operational findings into practical improvements. Preferred qualifications Experience working with AWS and core concepts (accounts, regions, IAM, networking, compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt).
About the company: the company is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The role We are looking for a Senior Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 5+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at the company: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: the company is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.
27/07/2026
Full time
About the company: the company is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The role We are looking for a Senior Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 5+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at the company: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: the company is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.
As an AI Architect at Avanade, you will play a critical role in shaping our growing community of Agentic AI experts, defining how we design, build, and deliver agentic solutions at scale. Alongside this, you will lead the solutioning, architecture, and delivery of large, complex agentic AI solutions for clients using the latest Microsoft technologies. This role combines deep hands on technical expertise with strong architectural leadership. You will influence Avanade's technical direction in agentic AI, build capability across teams, and work closely with senior client stakeholders to shape requirements, define architectures, and deliver high impact solutions. Role Responsibilities Shaping Capability and Community - Act as a technical leader within the AI & Data practice, mentoring architects and senior engineers; stay ahead of Microsoft's AI roadmap and emerging agentic patterns, translating these into practical guidance; help shape Avanade's Agentic AI community by establishing best practices, architectural patterns, standards, and reusable assets; contribute to thought leadership, internal enablement, and the evolution of Avanade's agentic AI offerings. Client Solutioning and Architecture - Lead solution shaping activities with clients to understand requirements and define solution direction; shape and own end to end architecture for complex agentic AI solutions from concept to production; design and deliver solutions using Microsoft Copilot Studio and Azure AI Foundry; provide hands on technical leadership across design, build, integration, and deployment; ensure solutions meet enterprise standards for security, governance, scalability, and operational readiness. Leadership, Delivery, and Stakeholder Engagement - Lead delivery of large, complex AI programmes involving multiple workstreams and senior stakeholders; engage confidently with senior client audiences and act as a trusted technical advisor; support pre sales activities including shaping propositions, contributing to proposals, and leading technical bids. Required Skills and Experience Significant hands on experience delivering solutions using Microsoft Copilot Studio. Deep technical expertise in designing and implementing agentic AI architectures. Proven experience architecting and delivering large, complex AI solutions. Strong experience working directly with clients to shape requirements and manage senior stakeholders. Ability to operate across strategy, architecture, and hands on delivery. Experience working in consulting or professional services environments. Preferred Skills and Experience Experience working with Azure AI Foundry or equivalent Azure based AI platforms. Experience with Azure services such as Azure OpenAI, Functions, Logic Apps, and API Management. Familiarity with Microsoft Power Platform integration patterns. Knowledge of enterprise governance, security, and responsible AI frameworks. Experience developing architects and senior engineers. Microsoft certifications in AI, Azure, or Power Platform (desirable).
27/07/2026
Full time
As an AI Architect at Avanade, you will play a critical role in shaping our growing community of Agentic AI experts, defining how we design, build, and deliver agentic solutions at scale. Alongside this, you will lead the solutioning, architecture, and delivery of large, complex agentic AI solutions for clients using the latest Microsoft technologies. This role combines deep hands on technical expertise with strong architectural leadership. You will influence Avanade's technical direction in agentic AI, build capability across teams, and work closely with senior client stakeholders to shape requirements, define architectures, and deliver high impact solutions. Role Responsibilities Shaping Capability and Community - Act as a technical leader within the AI & Data practice, mentoring architects and senior engineers; stay ahead of Microsoft's AI roadmap and emerging agentic patterns, translating these into practical guidance; help shape Avanade's Agentic AI community by establishing best practices, architectural patterns, standards, and reusable assets; contribute to thought leadership, internal enablement, and the evolution of Avanade's agentic AI offerings. Client Solutioning and Architecture - Lead solution shaping activities with clients to understand requirements and define solution direction; shape and own end to end architecture for complex agentic AI solutions from concept to production; design and deliver solutions using Microsoft Copilot Studio and Azure AI Foundry; provide hands on technical leadership across design, build, integration, and deployment; ensure solutions meet enterprise standards for security, governance, scalability, and operational readiness. Leadership, Delivery, and Stakeholder Engagement - Lead delivery of large, complex AI programmes involving multiple workstreams and senior stakeholders; engage confidently with senior client audiences and act as a trusted technical advisor; support pre sales activities including shaping propositions, contributing to proposals, and leading technical bids. Required Skills and Experience Significant hands on experience delivering solutions using Microsoft Copilot Studio. Deep technical expertise in designing and implementing agentic AI architectures. Proven experience architecting and delivering large, complex AI solutions. Strong experience working directly with clients to shape requirements and manage senior stakeholders. Ability to operate across strategy, architecture, and hands on delivery. Experience working in consulting or professional services environments. Preferred Skills and Experience Experience working with Azure AI Foundry or equivalent Azure based AI platforms. Experience with Azure services such as Azure OpenAI, Functions, Logic Apps, and API Management. Familiarity with Microsoft Power Platform integration patterns. Knowledge of enterprise governance, security, and responsible AI frameworks. Experience developing architects and senior engineers. Microsoft certifications in AI, Azure, or Power Platform (desirable).
About Us Macrobond is a leading provider of global economic and financial data and technology for investment professionals. Our customers include over 900 firms spanning the buyside, sell side, corporate and academic sectors. Our platform, rich in intellectual property and supported by a rapidly expanding global team, ensures we remain at the forefront of our industry. With the backing of Francisco Partners, a prominent global tech investment firm, we operate as a truly international company. Our headquarters are in London, and we have key offices in Poland, Lisbon, Hong Kong, Gothenburg, Malmo and New York. Job Overview Macrobond is building a dedicated engineering capability to accelerate the development of AI-native products and workflows. As a Senior Fullstack Engineer, you will play a key role in delivering scalable, high quality software across the platform, contributing to areas such as semantic search, knowledge systems, and AI assisted research workflows. You will be responsible for designing, building, and maintaining end to end product capabilities, working across frontend, backend, and data layers. This role focuses on strong execution, technical ownership within defined areas, and close collaboration with Product, Design, and AI teams to deliver features that enable faster discovery, analysis, and decision making. Job Responsibilities System Design and Development Design and implement scalable, reliable full stack solutions across frontend and backend systems Own and deliver components and services within a defined product area Contribute to architectural decisions within your domain, ensuring maintainability and performance Ensure code quality through testing, code reviews, and adherence to engineering standards Product Delivery Translate product requirements into well structured technical solutions Deliver features end to end, from design through to production deployment Balance delivery speed with long term system quality and sustainability Identify and resolve technical risks, constraints, and dependencies AI Enabled Product Development Integrate AI capabilities into product workflows (e.g. search, insights, automation) Collaborate with AI Engineering to incorporate models, services, and pipelines into user facing applications Ensure reliability, observability, and performance of AI driven features in production Contribute to evaluation and iteration of AI powered capabilities Cross Functional Collaboration Work closely with Product Managers and Designers to shape and refine solutions Collaborate with other engineers to ensure consistency across systems and services Contribute to team delivery processes, including sprint planning, reviews, and retrospectives Support alignment across teams when working on shared systems or dependencies System Quality and Operations Build and maintain robust APIs, services, and frontend applications Ensure systems are secure, observable, and performant in production Monitor, debug, and resolve production issues Contribute to continuous improvement of development workflows, tooling, and infrastructure Required Qualifications and Experience Strong experience building and delivering full stack applications in a production environment Proven ability to design and implement scalable backend services and intuitive frontend interfaces Proficiency in modern frontend frameworks and backend technologies (languages/frameworks vary by stack) Experience working with APIs, distributed systems, and data intensive applications Solid understanding of system design, performance optimization, and reliability Experience integrating external services, including AI/ML capabilities, into applications Strong collaboration skills, with experience working closely with Product and Design Ability to work through ambiguity and independently drive technical solutions Experience working in fast paced, iterative development environments What do we offer Private medical insurance, inclusive of dental, vision, and hearing Life insurance Company pension scheme, with a strong employer contribution Gym discounts 25 days holiday per annum 2 Macrobond days to use per annum for volunteering Our commitment to Diversity At Macrobond, diversity, equity, and inclusion are fundamental to our culture and success. We are committed to fostering an environment where all individuals are respected, valued, and empowered to contribute their unique perspectives. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law. By joining our team, you become part of an organization that believes diversity drives innovation and strengthens our collective performance. By using this website and submitting your information, you acknowledge our Candidate Privacy Notice and understand that your personal information may be processed in accordance with applicable Candidate Privacy Notice in your country of application. Apply today and become part of our exciting journey! Apply today and become part of our exciting journey!
27/07/2026
Full time
About Us Macrobond is a leading provider of global economic and financial data and technology for investment professionals. Our customers include over 900 firms spanning the buyside, sell side, corporate and academic sectors. Our platform, rich in intellectual property and supported by a rapidly expanding global team, ensures we remain at the forefront of our industry. With the backing of Francisco Partners, a prominent global tech investment firm, we operate as a truly international company. Our headquarters are in London, and we have key offices in Poland, Lisbon, Hong Kong, Gothenburg, Malmo and New York. Job Overview Macrobond is building a dedicated engineering capability to accelerate the development of AI-native products and workflows. As a Senior Fullstack Engineer, you will play a key role in delivering scalable, high quality software across the platform, contributing to areas such as semantic search, knowledge systems, and AI assisted research workflows. You will be responsible for designing, building, and maintaining end to end product capabilities, working across frontend, backend, and data layers. This role focuses on strong execution, technical ownership within defined areas, and close collaboration with Product, Design, and AI teams to deliver features that enable faster discovery, analysis, and decision making. Job Responsibilities System Design and Development Design and implement scalable, reliable full stack solutions across frontend and backend systems Own and deliver components and services within a defined product area Contribute to architectural decisions within your domain, ensuring maintainability and performance Ensure code quality through testing, code reviews, and adherence to engineering standards Product Delivery Translate product requirements into well structured technical solutions Deliver features end to end, from design through to production deployment Balance delivery speed with long term system quality and sustainability Identify and resolve technical risks, constraints, and dependencies AI Enabled Product Development Integrate AI capabilities into product workflows (e.g. search, insights, automation) Collaborate with AI Engineering to incorporate models, services, and pipelines into user facing applications Ensure reliability, observability, and performance of AI driven features in production Contribute to evaluation and iteration of AI powered capabilities Cross Functional Collaboration Work closely with Product Managers and Designers to shape and refine solutions Collaborate with other engineers to ensure consistency across systems and services Contribute to team delivery processes, including sprint planning, reviews, and retrospectives Support alignment across teams when working on shared systems or dependencies System Quality and Operations Build and maintain robust APIs, services, and frontend applications Ensure systems are secure, observable, and performant in production Monitor, debug, and resolve production issues Contribute to continuous improvement of development workflows, tooling, and infrastructure Required Qualifications and Experience Strong experience building and delivering full stack applications in a production environment Proven ability to design and implement scalable backend services and intuitive frontend interfaces Proficiency in modern frontend frameworks and backend technologies (languages/frameworks vary by stack) Experience working with APIs, distributed systems, and data intensive applications Solid understanding of system design, performance optimization, and reliability Experience integrating external services, including AI/ML capabilities, into applications Strong collaboration skills, with experience working closely with Product and Design Ability to work through ambiguity and independently drive technical solutions Experience working in fast paced, iterative development environments What do we offer Private medical insurance, inclusive of dental, vision, and hearing Life insurance Company pension scheme, with a strong employer contribution Gym discounts 25 days holiday per annum 2 Macrobond days to use per annum for volunteering Our commitment to Diversity At Macrobond, diversity, equity, and inclusion are fundamental to our culture and success. We are committed to fostering an environment where all individuals are respected, valued, and empowered to contribute their unique perspectives. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law. By joining our team, you become part of an organization that believes diversity drives innovation and strengthens our collective performance. By using this website and submitting your information, you acknowledge our Candidate Privacy Notice and understand that your personal information may be processed in accordance with applicable Candidate Privacy Notice in your country of application. Apply today and become part of our exciting journey! Apply today and become part of our exciting journey!
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Science Engineer to support our mission. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Data Science Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis, and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Data Science Engineering services to our clients. Senior Data Science Engineers are experienced practitioners who lead by example, ensuring technical excellence within squads and mentoring junior members of the engineering community. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Senior Data Science Engineer will be a key player and implementer in this. Please note we are looking for candidates who are looking for growth at the Senior level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support. Your Role in a Nutshell Lead the production of user-centred data science solutions, ensuring adherence to best practices and business requirements. Facilitate collaboration with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that you need Essential Experience Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Proven ability to design, build, and optimise recommender systems. Strong experience in experimental design, including A/B testing and randomised control trials. Deep understanding of product delivery from requirements to desirable business outcomes. Desirable Experience Demonstrable experience applying Natural Language Processing (NLP) to areas such as information retrieval. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
27/07/2026
Full time
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Science Engineer to support our mission. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Data Science Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis, and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Data Science Engineering services to our clients. Senior Data Science Engineers are experienced practitioners who lead by example, ensuring technical excellence within squads and mentoring junior members of the engineering community. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Senior Data Science Engineer will be a key player and implementer in this. Please note we are looking for candidates who are looking for growth at the Senior level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support. Your Role in a Nutshell Lead the production of user-centred data science solutions, ensuring adherence to best practices and business requirements. Facilitate collaboration with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that you need Essential Experience Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Proven ability to design, build, and optimise recommender systems. Strong experience in experimental design, including A/B testing and randomised control trials. Deep understanding of product delivery from requirements to desirable business outcomes. Desirable Experience Demonstrable experience applying Natural Language Processing (NLP) to areas such as information retrieval. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. By applying our expertise, we deliver real benefits and pioneer a better future. Purpose of the Role You will be one of our key contributors who guide and foster innovation by developing the platform for our leading-edge products within CI. You will work collaboratively to solve interesting and challenging problems in a cross functional team with other engineering disciplines including Data Scientists, Software Engineers, Test Engineers, Site Reliability Engineers and Systems Engineers. The platform team is missioned to build secure, compliant and standardised infrastructure as well as internal developer platforms to enhance operational efficiency and enable faster and reliable software delivery. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key platform initiatives, especially in building scalable and secure-by-design systems and solutions. You also have opportunities to go through the whole lifecycle of platform, products and services, are encouraged to participate in each phase, each part of the projects and have the whole picture of what you are working on. Principal Accountabilities As a Platform Engineer who is passionate about technology, you will use themost effective and applicabletechnologies to create and improve the Motion Applied Fleet Connect cloud infrastucture. You will lead on implementation of the Motion Applied security governance policy across our products and platform, being a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development feedback. You will learn how to leverage existing open-source software to extend our capabilities, integrating and tailoring software to suit customers' needs, through clean and consistent coding. You will champion architectural and technical good practise across the software development teams, from initiation through the whole product lifecycle. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co-ordinated with other members of the Engineering team. Basic Qualifications We are looking for an applicant who has: Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience 3+ years of hands on experience with large cloud providers; AWS preferred, other cloud experience considered. Proficiency in Infrastructure as Code (IaC) tools like Terraform, Ansible or SaltStack. 3+ years of hands-on experience with containerization and orchestration tools like Docker, Kubernetes and Helm. Excellent programming, debugging, and optimization skills in general purpose programming languages including but not limited to: Go, Python, C/C++, Java, or Rust. Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Interest and ability to learn other coding languages as needed Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc Ability to write and speak in English fluently Desirable Some of the below would be beneficial to the applicant, but opportunities to develop in these areas will also be provided: Experienced working in and developing for a Linux environment. Experience with Helmfile or similar declarative deployment tooling. Experience with multi-tenant architecture patterns, tenant isolation, per-customer resource boundaries and shared -vs- dedicated service design. Experience with identity providers and authentication flows, including OIDC, OAuth 2.0, or platforms such as Auth0. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Experience of IoT systems integration, protocols, and services, including MQTT and AWS IoT Core. Experience in troubleshooting incidents and live environments. Networking concepts and network performance modelling / optimisation. Understand the basic concepts of AI agent automation and orchestration. Experience with Hashicorp tools like Vault or Consul. What we can offer you In return for everything you bring to the table, we can ensure an exciting, challenging role in a dynamic business surrounded by some of the best people in their respective fields. At Motion Applied we firmly believe it's the relationships and friendships we create while working that make us special. We're also aware that the world is changing and we are part of that change. We all want and need different things from our work and home lives, so, if you have commitments outside of work, we're open to talking through flexible working options that work for you and us. Annual leave (25 days + bank holidays, pro-rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary Opportunity to join the Motion Applied Pension Plan Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand-new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful competition of their probationary period. Who we are Motion Applied are a medium-sized tech firm spun out of McLaren Group. We're looking for people who will thrive in a non-hierarchical, growth-orientated company, self-starters who are flexible and somewhat entrepreneurial in their approach. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do.
27/07/2026
Full time
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. By applying our expertise, we deliver real benefits and pioneer a better future. Purpose of the Role You will be one of our key contributors who guide and foster innovation by developing the platform for our leading-edge products within CI. You will work collaboratively to solve interesting and challenging problems in a cross functional team with other engineering disciplines including Data Scientists, Software Engineers, Test Engineers, Site Reliability Engineers and Systems Engineers. The platform team is missioned to build secure, compliant and standardised infrastructure as well as internal developer platforms to enhance operational efficiency and enable faster and reliable software delivery. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key platform initiatives, especially in building scalable and secure-by-design systems and solutions. You also have opportunities to go through the whole lifecycle of platform, products and services, are encouraged to participate in each phase, each part of the projects and have the whole picture of what you are working on. Principal Accountabilities As a Platform Engineer who is passionate about technology, you will use themost effective and applicabletechnologies to create and improve the Motion Applied Fleet Connect cloud infrastucture. You will lead on implementation of the Motion Applied security governance policy across our products and platform, being a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development feedback. You will learn how to leverage existing open-source software to extend our capabilities, integrating and tailoring software to suit customers' needs, through clean and consistent coding. You will champion architectural and technical good practise across the software development teams, from initiation through the whole product lifecycle. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co-ordinated with other members of the Engineering team. Basic Qualifications We are looking for an applicant who has: Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience 3+ years of hands on experience with large cloud providers; AWS preferred, other cloud experience considered. Proficiency in Infrastructure as Code (IaC) tools like Terraform, Ansible or SaltStack. 3+ years of hands-on experience with containerization and orchestration tools like Docker, Kubernetes and Helm. Excellent programming, debugging, and optimization skills in general purpose programming languages including but not limited to: Go, Python, C/C++, Java, or Rust. Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Interest and ability to learn other coding languages as needed Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc Ability to write and speak in English fluently Desirable Some of the below would be beneficial to the applicant, but opportunities to develop in these areas will also be provided: Experienced working in and developing for a Linux environment. Experience with Helmfile or similar declarative deployment tooling. Experience with multi-tenant architecture patterns, tenant isolation, per-customer resource boundaries and shared -vs- dedicated service design. Experience with identity providers and authentication flows, including OIDC, OAuth 2.0, or platforms such as Auth0. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Experience of IoT systems integration, protocols, and services, including MQTT and AWS IoT Core. Experience in troubleshooting incidents and live environments. Networking concepts and network performance modelling / optimisation. Understand the basic concepts of AI agent automation and orchestration. Experience with Hashicorp tools like Vault or Consul. What we can offer you In return for everything you bring to the table, we can ensure an exciting, challenging role in a dynamic business surrounded by some of the best people in their respective fields. At Motion Applied we firmly believe it's the relationships and friendships we create while working that make us special. We're also aware that the world is changing and we are part of that change. We all want and need different things from our work and home lives, so, if you have commitments outside of work, we're open to talking through flexible working options that work for you and us. Annual leave (25 days + bank holidays, pro-rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary Opportunity to join the Motion Applied Pension Plan Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand-new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful competition of their probationary period. Who we are Motion Applied are a medium-sized tech firm spun out of McLaren Group. We're looking for people who will thrive in a non-hierarchical, growth-orientated company, self-starters who are flexible and somewhat entrepreneurial in their approach. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do.
IT Service Transition Lead (Contract) Immediate start 3-month contract Up to £600 per day UK Based - Midlands Preferable Focus Group is a £300m-revenue, 1,400-person technology services company backed by Hg Capital. Following our $1bn valuation in 2024, we're scaling rapidly and investing in AI to transform how we operate and how we serve our 30,000 SME customers. As we continue to expand our portfolio and scale our operations, we're committed to setting new industry standards in managed service excellence, and our growth trajectory and strategic acquisitions position us as an organisation ready to redefine what world-class technical support means in today's rapidly evolving technology landscape. The opportunity We're looking for an experienced IT Service Transition specialist to join us immediately on a 3-month contract, supporting a large-scale, multi-site hospitality customer with network deployment spanning Wi-Fi remediation, SD-WAN (Software-Defined Wide Area Network), and hosting workstreams. This is an inflight, high-profile programme, so you'll need to get up to speed quickly and pick up existing workstreams with minimal ramp-up time. You'll own the transition of services from delivery/project phase into live operational support, ensuring a smooth handover with minimal disruption to a high-complexity, high-profile client. What you'll be doing Leading end-to-end service transition planning and execution Coordinating handover between project delivery, engineering, and service delivery teams Managing transition documentation, RAID logs, and go-live readiness criteria Acting as a key point of contact for client stakeholders throughout transition Identifying and mitigating transition risks across a multi-site network Providing transition governance, reporting, and executive-level updates to programme boards, service leadership, and customer stakeholders Confirming the target operating model is ready before go-live, including support ownership, resolver groups, SLAs (Service Level Agreements), OLAs (Operational Level Agreements), and escalation paths Planning and coordinating knowledge transfer sessions for service desk, NOC (Network Operations Centre), engineering, and service management teams Owning service readiness assessments across people, process, tooling, monitoring, documentation, support model, knowledge management, and supplier dependencies Driving operational acceptance and formal service acceptance into business-as-usual (BAU) support Planning and managing Early Life Support (ELS) and hypercare periods, ensuring a smooth transition into steady-state operations Ensuring transition activity is aligned to change, release, and CAB (Change Advisory Board) governance, including go-live approvals, implementation, rollback, and communication plans Ensuring operational tooling, monitoring, alerting, asset data, CMDB (Configuration Management Database) records, and service dependencies are fully validated ahead of service acceptance What we're looking for A proven Service Transition background within an MSP (Managed Service Provider) environment Strong process, transition, and governance discipline Solid working knowledge of cloud and networking technologies, including Microsoft, Meraki, and Fortinet Experience delivering into enterprise or mid-market accounts Strong understanding of ITIL Service Transition, Service Validation & Testing, Knowledge Management, Change Enablement, and Service Acceptance Comfortable managing complex, multi-stakeholder transitions under time pressure, with the ability to hit the ground running on live projects Experience managing transitions involving multiple suppliers and customer stakeholders Experience working with ServiceNow, CMDB management, and operational monitoring platforms Desirable: Hospitality or multi-site retail sector experience ITIL or formal service transition qualifications Exposure to SD-WAN and network security transition The details This is a 3-month contract with an immediate start, paying up to £600 per day (dependent on experience). If you're ready to make an impact from day one on a high-visibility programme, we'd love to hear from you.
27/07/2026
Full time
IT Service Transition Lead (Contract) Immediate start 3-month contract Up to £600 per day UK Based - Midlands Preferable Focus Group is a £300m-revenue, 1,400-person technology services company backed by Hg Capital. Following our $1bn valuation in 2024, we're scaling rapidly and investing in AI to transform how we operate and how we serve our 30,000 SME customers. As we continue to expand our portfolio and scale our operations, we're committed to setting new industry standards in managed service excellence, and our growth trajectory and strategic acquisitions position us as an organisation ready to redefine what world-class technical support means in today's rapidly evolving technology landscape. The opportunity We're looking for an experienced IT Service Transition specialist to join us immediately on a 3-month contract, supporting a large-scale, multi-site hospitality customer with network deployment spanning Wi-Fi remediation, SD-WAN (Software-Defined Wide Area Network), and hosting workstreams. This is an inflight, high-profile programme, so you'll need to get up to speed quickly and pick up existing workstreams with minimal ramp-up time. You'll own the transition of services from delivery/project phase into live operational support, ensuring a smooth handover with minimal disruption to a high-complexity, high-profile client. What you'll be doing Leading end-to-end service transition planning and execution Coordinating handover between project delivery, engineering, and service delivery teams Managing transition documentation, RAID logs, and go-live readiness criteria Acting as a key point of contact for client stakeholders throughout transition Identifying and mitigating transition risks across a multi-site network Providing transition governance, reporting, and executive-level updates to programme boards, service leadership, and customer stakeholders Confirming the target operating model is ready before go-live, including support ownership, resolver groups, SLAs (Service Level Agreements), OLAs (Operational Level Agreements), and escalation paths Planning and coordinating knowledge transfer sessions for service desk, NOC (Network Operations Centre), engineering, and service management teams Owning service readiness assessments across people, process, tooling, monitoring, documentation, support model, knowledge management, and supplier dependencies Driving operational acceptance and formal service acceptance into business-as-usual (BAU) support Planning and managing Early Life Support (ELS) and hypercare periods, ensuring a smooth transition into steady-state operations Ensuring transition activity is aligned to change, release, and CAB (Change Advisory Board) governance, including go-live approvals, implementation, rollback, and communication plans Ensuring operational tooling, monitoring, alerting, asset data, CMDB (Configuration Management Database) records, and service dependencies are fully validated ahead of service acceptance What we're looking for A proven Service Transition background within an MSP (Managed Service Provider) environment Strong process, transition, and governance discipline Solid working knowledge of cloud and networking technologies, including Microsoft, Meraki, and Fortinet Experience delivering into enterprise or mid-market accounts Strong understanding of ITIL Service Transition, Service Validation & Testing, Knowledge Management, Change Enablement, and Service Acceptance Comfortable managing complex, multi-stakeholder transitions under time pressure, with the ability to hit the ground running on live projects Experience managing transitions involving multiple suppliers and customer stakeholders Experience working with ServiceNow, CMDB management, and operational monitoring platforms Desirable: Hospitality or multi-site retail sector experience ITIL or formal service transition qualifications Exposure to SD-WAN and network security transition The details This is a 3-month contract with an immediate start, paying up to £600 per day (dependent on experience). If you're ready to make an impact from day one on a high-visibility programme, we'd love to hear from you.
ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. ROLE SUMMARY: An experienced Senior DevOps engineer is required to join the Technical Services (TTO) team within LSEG Markets & Risk Intelligence. This is a chance to be part of a team and help us build the future of financial services on blockchain technology. The team is responsible for the delivery and support of production environments which are typically housed within Azure, as well as integrating software changes into the enterprise environment as part of ongoing project work. The role includes participation in an on-call rota to ensure coverage during business hours, with plans to expand support coverage as the business scales. Occasional weekend work may be required to support release testing and deployment activities. DMI (Digital Markets Infrastructure) is an ambitious project: large scale, complex and uses a range of blockchain architecture patterns, with numerous stakeholders (internal and external) and use cases. The work is focussed on the tokenisation of financial instruments, i.e. as digital assets. We seek candidates with an interest in the financial markets with experience working on large projects. This is a chance to work on an innovative, intellectually challenging project backed by the influential reach of the London Stock Exchange Group. The ideal candidate will play a vital role in developing, maintaining and enhancing our continuous integration and continuous deployment (CI/CD) infrastructure, supporting application, ensuring high quality software delivery and uptime. WHAT YOU'LL BE DOING: Implement, manage, and optimize Cloud deployments and automations of DMI applications. Design and manage container orchestration solutions using Kubernetes and similar technologies. Implement, maintain, and optimise containerisation for DMI services (e.g. via Docker). Automate infrastructure provisioning and scaling (e.g. Terraform). Integrate security best practices into the DevOps lifecycle, ensuring robustness against vulnerabilities. Collaborate closely with software engineers, QA, and other teams to ensure efficient deployment, monitoring, and maintenance of applications. Keep up to date with the latest industry trends, tools, and best practices in DevOps and cloud infrastructure. WHAT YOU'LL BRING: Computer science, software engineering, or relevant technical background required. Professional experience in DevOps and infrastructure management. Enterprise experience with Cloud platform Azure (preferably) or AWS. Proficient in Kubernetes, Docker, and Terraform. Experience with the Azure cloud platform, managing workloads, provisioning & deployments. Deep knowledge of security best practices in cloud and DevOps contexts. Proven knowledge of scaling, availability and cloud resiliency models, patterns and designs. Ability to anticipate potential infrastructure challenges and provide innovative solutions. Interest in new technologies and continuous improvement methodologies. Familiarity with blockchain/DLT desirable. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject. LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world.
27/07/2026
Full time
ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. ROLE SUMMARY: An experienced Senior DevOps engineer is required to join the Technical Services (TTO) team within LSEG Markets & Risk Intelligence. This is a chance to be part of a team and help us build the future of financial services on blockchain technology. The team is responsible for the delivery and support of production environments which are typically housed within Azure, as well as integrating software changes into the enterprise environment as part of ongoing project work. The role includes participation in an on-call rota to ensure coverage during business hours, with plans to expand support coverage as the business scales. Occasional weekend work may be required to support release testing and deployment activities. DMI (Digital Markets Infrastructure) is an ambitious project: large scale, complex and uses a range of blockchain architecture patterns, with numerous stakeholders (internal and external) and use cases. The work is focussed on the tokenisation of financial instruments, i.e. as digital assets. We seek candidates with an interest in the financial markets with experience working on large projects. This is a chance to work on an innovative, intellectually challenging project backed by the influential reach of the London Stock Exchange Group. The ideal candidate will play a vital role in developing, maintaining and enhancing our continuous integration and continuous deployment (CI/CD) infrastructure, supporting application, ensuring high quality software delivery and uptime. WHAT YOU'LL BE DOING: Implement, manage, and optimize Cloud deployments and automations of DMI applications. Design and manage container orchestration solutions using Kubernetes and similar technologies. Implement, maintain, and optimise containerisation for DMI services (e.g. via Docker). Automate infrastructure provisioning and scaling (e.g. Terraform). Integrate security best practices into the DevOps lifecycle, ensuring robustness against vulnerabilities. Collaborate closely with software engineers, QA, and other teams to ensure efficient deployment, monitoring, and maintenance of applications. Keep up to date with the latest industry trends, tools, and best practices in DevOps and cloud infrastructure. WHAT YOU'LL BRING: Computer science, software engineering, or relevant technical background required. Professional experience in DevOps and infrastructure management. Enterprise experience with Cloud platform Azure (preferably) or AWS. Proficient in Kubernetes, Docker, and Terraform. Experience with the Azure cloud platform, managing workloads, provisioning & deployments. Deep knowledge of security best practices in cloud and DevOps contexts. Proven knowledge of scaling, availability and cloud resiliency models, patterns and designs. Ability to anticipate potential infrastructure challenges and provide innovative solutions. Interest in new technologies and continuous improvement methodologies. Familiarity with blockchain/DLT desirable. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject. LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world.
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
27/07/2026
Full time
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Workday HRIS Lead Specialist - Hybrid or Remote within the UK ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. Job Advert Posting As a HR Technology Lead at ICON, you will oversee the strategy, implementation, and optimization of HR technology solutions to support our organizational goals and enhance the employee experience. What You Will Do: You will manage day-to-day human resources activities, supporting your team to deliver quality outcomes. Workday HRIS Operations & Governance Act as escalation point for complex Workday L2/L3 cases across HCM, Recruiting, Compensation, Absence and Integrations Manage direct escalations from Tier 1 analysts and HR/TA stakeholders on urgent or sensitive cases Provide decisioning and risk management for high-impact issues affecting hiring, pay or executive populations Oversee HRIS backlog prioritisation and recurring refinement forums Ensure documentation and governance controls are in place Functional Team Leadership & Configuration Direction Provide day-to-day leadership and support to the functional HRIS team across HCM, Recruiting, Compensation and Absence Act as first point of contact for complex functional or technical queries where analysts require confirmation or direction Support the team in assessing requirements, options and impacts before configuration changes are made Guide next steps on configuration for Change Requests (CRs) and project work, including tenant strategy (sandbox vs preview vs production) Help shape and validate configuration approaches to ensure they align to global design, governance standards and downstream impacts Remove blockers by advising on sequencing, dependencies, testing approach and stakeholder alignment Supplier, Contract & SOW Management Coordinate SOW preparation, internal approvals and VP signature routing via DocuSign Liaise with Procurement and Legal to ensure commercial and contractual compliance Maintain oversight of active AMS and project SOWs Release Management release impact assessment change gating/evidence deployment coordination post-release stabilization Annual Process Governance & Traceability Responsible for BAU delivery (e.g. performance review, compensation cycles and benefit enrollment events) Workday security/data reviews & access governance Working with cross functional teams to ensure all security related requirements are fully analysed and appropriate checks and balances applied. Facilitating weekly team and quarterly SLT governance forums. Your Profile: You will have solid human resources experience, with the ability to manage competing priorities and develop your team. Required qualifications and experience: Bachelor's degree in information systems, human resources, business administration, or a related field, or equivalent experience. Extensive experience in HR technology management, including implementation and oversight of major HR platforms e.g., Workday, SAP, Oracle. Strong strategic thinking skills with a proven ability to align technology with business goals. Excellent communication and leadership abilities, with experience managing teams and cross-functional projects. A commitment to continuous improvement, innovation, and delivering a high-quality employee experience through technology. Willingness to travel as required (approximately 5%) What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here
27/07/2026
Full time
Workday HRIS Lead Specialist - Hybrid or Remote within the UK ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. Job Advert Posting As a HR Technology Lead at ICON, you will oversee the strategy, implementation, and optimization of HR technology solutions to support our organizational goals and enhance the employee experience. What You Will Do: You will manage day-to-day human resources activities, supporting your team to deliver quality outcomes. Workday HRIS Operations & Governance Act as escalation point for complex Workday L2/L3 cases across HCM, Recruiting, Compensation, Absence and Integrations Manage direct escalations from Tier 1 analysts and HR/TA stakeholders on urgent or sensitive cases Provide decisioning and risk management for high-impact issues affecting hiring, pay or executive populations Oversee HRIS backlog prioritisation and recurring refinement forums Ensure documentation and governance controls are in place Functional Team Leadership & Configuration Direction Provide day-to-day leadership and support to the functional HRIS team across HCM, Recruiting, Compensation and Absence Act as first point of contact for complex functional or technical queries where analysts require confirmation or direction Support the team in assessing requirements, options and impacts before configuration changes are made Guide next steps on configuration for Change Requests (CRs) and project work, including tenant strategy (sandbox vs preview vs production) Help shape and validate configuration approaches to ensure they align to global design, governance standards and downstream impacts Remove blockers by advising on sequencing, dependencies, testing approach and stakeholder alignment Supplier, Contract & SOW Management Coordinate SOW preparation, internal approvals and VP signature routing via DocuSign Liaise with Procurement and Legal to ensure commercial and contractual compliance Maintain oversight of active AMS and project SOWs Release Management release impact assessment change gating/evidence deployment coordination post-release stabilization Annual Process Governance & Traceability Responsible for BAU delivery (e.g. performance review, compensation cycles and benefit enrollment events) Workday security/data reviews & access governance Working with cross functional teams to ensure all security related requirements are fully analysed and appropriate checks and balances applied. Facilitating weekly team and quarterly SLT governance forums. Your Profile: You will have solid human resources experience, with the ability to manage competing priorities and develop your team. Required qualifications and experience: Bachelor's degree in information systems, human resources, business administration, or a related field, or equivalent experience. Extensive experience in HR technology management, including implementation and oversight of major HR platforms e.g., Workday, SAP, Oracle. Strong strategic thinking skills with a proven ability to align technology with business goals. Excellent communication and leadership abilities, with experience managing teams and cross-functional projects. A commitment to continuous improvement, innovation, and delivering a high-quality employee experience through technology. Willingness to travel as required (approximately 5%) What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Engineer You'll be part of either our Data & AI Delivery team or the Commercial data team, acting as a technical leader for data engineering across the organisation. These teams play a critical role in enabling secure, scalable and high performing data products that underpin data driven decision making across British Airways. What you'll do: Act as a technical leader for data engineering best practice across delivery teams Lead the design, build, test and deployment of secure and scalable data pipelines Maintain and operate data products, ensuring availability, performance and resilience through monitoring and incident management Provide assurance on code quality and automation used to manage data flows Lead service reviews, health checks and root cause analysis to improve reliability and reduce operational overhead Set and embed standards for data processing documentation and version control Support and coach engineers on engineering patterns, coding standards and automated testing Lead agile ceremonies, delivery planning and retrospectives to support continuous improvement Define and improve developer experience by working with data product teams to resolve data processing issues Line manage Senior Data Engineers and support their development Participate in an on call rota to support live data products What you'll bring to British Airways: Strong hands on technical leadership in data engineering Deep understanding of cloud based data ingestion, processing and storage techniques Expert knowledge of data processing, testing and monitoring practices Strong understanding of enterprise data management, optimisation and security at scale Confidence influencing technical direction and engineering standards Strong stakeholder engagement skills across business and technical teams Ability to break down complex problems and work effectively in ambiguous environments Delivery focused, accountable and pragmatic mindset Collaborative approach with a focus on capability building and knowledge sharing Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing, testing, and monitoring practices and frameworks. Experience supporting production data systems and resolving operational issues in CI/CD processes and agile development workflows. Expert in information security principles and access control within data environments. Degree or equivalent training in Computer Science, Engineering, or a related discipline is desirable. What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
27/07/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Engineer You'll be part of either our Data & AI Delivery team or the Commercial data team, acting as a technical leader for data engineering across the organisation. These teams play a critical role in enabling secure, scalable and high performing data products that underpin data driven decision making across British Airways. What you'll do: Act as a technical leader for data engineering best practice across delivery teams Lead the design, build, test and deployment of secure and scalable data pipelines Maintain and operate data products, ensuring availability, performance and resilience through monitoring and incident management Provide assurance on code quality and automation used to manage data flows Lead service reviews, health checks and root cause analysis to improve reliability and reduce operational overhead Set and embed standards for data processing documentation and version control Support and coach engineers on engineering patterns, coding standards and automated testing Lead agile ceremonies, delivery planning and retrospectives to support continuous improvement Define and improve developer experience by working with data product teams to resolve data processing issues Line manage Senior Data Engineers and support their development Participate in an on call rota to support live data products What you'll bring to British Airways: Strong hands on technical leadership in data engineering Deep understanding of cloud based data ingestion, processing and storage techniques Expert knowledge of data processing, testing and monitoring practices Strong understanding of enterprise data management, optimisation and security at scale Confidence influencing technical direction and engineering standards Strong stakeholder engagement skills across business and technical teams Ability to break down complex problems and work effectively in ambiguous environments Delivery focused, accountable and pragmatic mindset Collaborative approach with a focus on capability building and knowledge sharing Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing, testing, and monitoring practices and frameworks. Experience supporting production data systems and resolving operational issues in CI/CD processes and agile development workflows. Expert in information security principles and access control within data environments. Degree or equivalent training in Computer Science, Engineering, or a related discipline is desirable. What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
SDLC & Release Automation Java/Kotlin EngineerApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: We're looking for an enthusiastic & talented server side engineer, to join our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, productivity and automation of our strategic developer tools internal tools used across the bank.We embody modern best delivery best practices, experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. We are here to be opinionated and challenge processes and procedures making software delivery easier, more enjoyable and safer. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savingsWe believe happy engineers make the best engineers and are a technology managed department. Opportunity There are many exciting automation and simplification opportunities across the suite of strategic CTO owned tools related to developer release practices and SDLC alignment. Two closely related key strategic projects will require your expertise driving solutions are as follows: Release on Demand (RoD) is our strategic release management platform that makes it trivial to generate production run books & ServiceNow Changes with the click of a button. Built internally approximately three years ago the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approx. 65% of them. The tool is expanding at a rapid pace across the enterprise and is expected to double its release volumes for the third year running.RoD enables cultural change within development teams enabling them to move quickly but whilst maintaining codified quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld, whilst driving industry best practices (DORA) SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi, taking ideas like grading engineering teams and rewarding those who follow best practices, perhaps moving them from manual approval process to an automatic one. The use of Artificial Intelligence is planned to further automate and remove manual human led processes that add toil to the SDLC process Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Write code and deliver. You are a delivery focussed engineer for our back end services.That means contributing high-quality code regularly, not just reviewing other people's. You set the bar through your own work. Shape how we build. You'll have a real voice in our architecture and technical roadmap. Your opinion matters Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns, that's exactly the kind of thinking we want in the room. Be a team player. Thoughtful code reviews. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it.What We're Looking For. What you should have A selection of the tools and capabilities required across our platforms. We value muti-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven experience delivering within technical projects Deep, hands-on experience building and running production-grade services. You're still writing code regularly. You're good at it Strong server-side engineering skills: Kotlin or Java (we're using Java 21), building and consuming RESTful APIs. Proficiency with relational and/or NoSQL databases: Couchbase, PostgreSQL or MongoDB. Highly Desirable skills Experience with event-driven architecture. Experience with microservice architecture Contract first Apis, such as swagger. Experience with message queuing systems: Apache Kafka. SRE/DevOps - Experience with scalability & Observability Understanding of containerization (Docker) and orchestration (Kubernetes). Familiarity with CI/CD tools and automated deployments. Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust backend solutions. AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server : Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness, Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, 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: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more.Alongside 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.
27/07/2026
Full time
SDLC & Release Automation Java/Kotlin EngineerApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: We're looking for an enthusiastic & talented server side engineer, to join our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, productivity and automation of our strategic developer tools internal tools used across the bank.We embody modern best delivery best practices, experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. We are here to be opinionated and challenge processes and procedures making software delivery easier, more enjoyable and safer. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savingsWe believe happy engineers make the best engineers and are a technology managed department. Opportunity There are many exciting automation and simplification opportunities across the suite of strategic CTO owned tools related to developer release practices and SDLC alignment. Two closely related key strategic projects will require your expertise driving solutions are as follows: Release on Demand (RoD) is our strategic release management platform that makes it trivial to generate production run books & ServiceNow Changes with the click of a button. Built internally approximately three years ago the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approx. 65% of them. The tool is expanding at a rapid pace across the enterprise and is expected to double its release volumes for the third year running.RoD enables cultural change within development teams enabling them to move quickly but whilst maintaining codified quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld, whilst driving industry best practices (DORA) SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi, taking ideas like grading engineering teams and rewarding those who follow best practices, perhaps moving them from manual approval process to an automatic one. The use of Artificial Intelligence is planned to further automate and remove manual human led processes that add toil to the SDLC process Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Write code and deliver. You are a delivery focussed engineer for our back end services.That means contributing high-quality code regularly, not just reviewing other people's. You set the bar through your own work. Shape how we build. You'll have a real voice in our architecture and technical roadmap. Your opinion matters Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns, that's exactly the kind of thinking we want in the room. Be a team player. Thoughtful code reviews. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it.What We're Looking For. What you should have A selection of the tools and capabilities required across our platforms. We value muti-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven experience delivering within technical projects Deep, hands-on experience building and running production-grade services. You're still writing code regularly. You're good at it Strong server-side engineering skills: Kotlin or Java (we're using Java 21), building and consuming RESTful APIs. Proficiency with relational and/or NoSQL databases: Couchbase, PostgreSQL or MongoDB. Highly Desirable skills Experience with event-driven architecture. Experience with microservice architecture Contract first Apis, such as swagger. Experience with message queuing systems: Apache Kafka. SRE/DevOps - Experience with scalability & Observability Understanding of containerization (Docker) and orchestration (Kubernetes). Familiarity with CI/CD tools and automated deployments. Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust backend solutions. AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server : Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness, Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, 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: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more.Alongside 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.
Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion
27/07/2026
Full time
Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
27/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
27/07/2026
Full time
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
