As our new Lead Business Analyst - Data, you will be the heartbeat of our Data Domain analysis capability. In this pivotal hands on leader role, you will be responsible for the coordination of business analysis efforts within your domain, ensuring the right people are working on the right initiatives. You will balance hands on strategic analysis with the line management and development of your team, ensuring we continue to deliver actionable insights to the business. As our Lead Business Analyst - Data, you'll have access to a wide range of benefits, including: Hybrid working (we're in the office 2 days per week). Colleague discounts on flight Jet2holidays. Competitive salary and benefits package (including our discretionary profit share scheme). At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Partner closely with Product Managers, Business Stakeholders, Architects, and Engineering Managers to break down complex portfolio epics and strategic initiatives into smaller, iterative value drops. Coordinate the allocation of Business Analysis resources across Pre Delivery and Delivery to ensure analysis momentum. Retain hands on responsibility for the elicitation and analysis of critical or strategic initiatives, setting the standard for the team. Work hand in hand with Agile Delivery Leads, ensuring impediments, risks and dependencies are understood and managed effectively. Act as the driving force for AI and agentic tool adoption within the BA workflow, automating routine documentation, user story creation, and requirement mapping. Decouple delivery demand from headcount growth by discovering and implementing clever, AI augmented workflows that maximise squad throughput. Champion the use of advanced Business Process Modelling and Data Modelling (e.g. Entity Relationship Diagrams) within the team, ensuring complex workflows and data structures are accurately visualised and governed. Take responsibility for the Line Management of Business Analysts within your domain, executing regular 1 to 1s, conducting performance reviews, and building targeted development plans. Drive the continuous professional development of your team, ensuring knowledge is shared across data domains and that analysts are upskilled in the latest modern data pipelines and tools. Lead the peer review process alongside Senior BAs to ensure all requirements, business rules, and models meet our high quality standards before development begins. Work alongside the Business Analyst Manager to identify talent, conduct interviews, and onboard new members into the team. Partner with counterparts in Application Development to ensure analysis is aligned, dependencies are managed, and the end to end data journey is understood. Champion the translation of complex business concepts into robust functional and non functional requirements, partnering continuously with Architects and Engineering Managers to shape technical design and ensure absolute clarity of business value. Orchestrate the strategic allocation of Business Analysts across Agile Release Trains and value streams, ensuring teams are sustainably resourced to maintain continuous delivery and alignment with enterprise agile cadences. What you'll have: Extensive experience as a Business Analyst with a strong record of delivering value in complex Data Domains. Proven experience in Line Management, with a passion for developing people, conducting performance reviews, and building high performing teams. Expert level understanding of the Scaled Agile Framework (SAFe) and how product, architecture, and engineering interface within an Agile Release Train (ART). Experience working with Engineering Managers and Delivery Leads to triage and allocate work in a fast paced Agile environment. Strong experience operating within complex, data centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert level skills in Requirements Engineering, Business Process Modelling (e.g. UML Activity Diagrams, BPMN), and Data Modelling (e.g. Entity Relationship Diagrams). Exceptional storytelling and translation skills-capable of refining complex data engineering issues for business executives and business needs for technical squads. The ability to see the "bigger picture," understanding how data flows across different delivery domains, data domains and managing dependencies accordingly. Exceptional communication skills, capable of influencing senior stakeholders and managing expectations at a strategic level. Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
27/07/2026
Full time
As our new Lead Business Analyst - Data, you will be the heartbeat of our Data Domain analysis capability. In this pivotal hands on leader role, you will be responsible for the coordination of business analysis efforts within your domain, ensuring the right people are working on the right initiatives. You will balance hands on strategic analysis with the line management and development of your team, ensuring we continue to deliver actionable insights to the business. As our Lead Business Analyst - Data, you'll have access to a wide range of benefits, including: Hybrid working (we're in the office 2 days per week). Colleague discounts on flight Jet2holidays. Competitive salary and benefits package (including our discretionary profit share scheme). At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Partner closely with Product Managers, Business Stakeholders, Architects, and Engineering Managers to break down complex portfolio epics and strategic initiatives into smaller, iterative value drops. Coordinate the allocation of Business Analysis resources across Pre Delivery and Delivery to ensure analysis momentum. Retain hands on responsibility for the elicitation and analysis of critical or strategic initiatives, setting the standard for the team. Work hand in hand with Agile Delivery Leads, ensuring impediments, risks and dependencies are understood and managed effectively. Act as the driving force for AI and agentic tool adoption within the BA workflow, automating routine documentation, user story creation, and requirement mapping. Decouple delivery demand from headcount growth by discovering and implementing clever, AI augmented workflows that maximise squad throughput. Champion the use of advanced Business Process Modelling and Data Modelling (e.g. Entity Relationship Diagrams) within the team, ensuring complex workflows and data structures are accurately visualised and governed. Take responsibility for the Line Management of Business Analysts within your domain, executing regular 1 to 1s, conducting performance reviews, and building targeted development plans. Drive the continuous professional development of your team, ensuring knowledge is shared across data domains and that analysts are upskilled in the latest modern data pipelines and tools. Lead the peer review process alongside Senior BAs to ensure all requirements, business rules, and models meet our high quality standards before development begins. Work alongside the Business Analyst Manager to identify talent, conduct interviews, and onboard new members into the team. Partner with counterparts in Application Development to ensure analysis is aligned, dependencies are managed, and the end to end data journey is understood. Champion the translation of complex business concepts into robust functional and non functional requirements, partnering continuously with Architects and Engineering Managers to shape technical design and ensure absolute clarity of business value. Orchestrate the strategic allocation of Business Analysts across Agile Release Trains and value streams, ensuring teams are sustainably resourced to maintain continuous delivery and alignment with enterprise agile cadences. What you'll have: Extensive experience as a Business Analyst with a strong record of delivering value in complex Data Domains. Proven experience in Line Management, with a passion for developing people, conducting performance reviews, and building high performing teams. Expert level understanding of the Scaled Agile Framework (SAFe) and how product, architecture, and engineering interface within an Agile Release Train (ART). Experience working with Engineering Managers and Delivery Leads to triage and allocate work in a fast paced Agile environment. Strong experience operating within complex, data centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert level skills in Requirements Engineering, Business Process Modelling (e.g. UML Activity Diagrams, BPMN), and Data Modelling (e.g. Entity Relationship Diagrams). Exceptional storytelling and translation skills-capable of refining complex data engineering issues for business executives and business needs for technical squads. The ability to see the "bigger picture," understanding how data flows across different delivery domains, data domains and managing dependencies accordingly. Exceptional communication skills, capable of influencing senior stakeholders and managing expectations at a strategic level. Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
United States Digital Space LLC
Milton Keynes, Buckinghamshire
Overview Define, design, and govern the end-to-end technical architecture across cloud and on-premise systems, ensuring scalability, security, maintainability, and alignment with business and enterprise architecture objectives. The role is responsible for establishing Azure-based solution architectures, guiding delivery teams, and ensuring that technology decisions drive long-term value, resilience, and performance across the organisation. Responsibilities Solution Architecture & Design Design end-to-end solution architectures across applications, data, integrations, and infrastructure within Microsoft Azure environments Define architectural patterns for cloud-native, hybrid, and distributed systems Develop high-level and low-level designs (HLD/LLD), ensuring clarity for delivery teams Ensure solutions are scalable, resilient, secure, and cost-optimised Azure Cloud Architecture Define and implement architecture using Azure services, including: Compute: Azure App Services, Azure Kubernetes Service (AKS), Azure Functions Data: Azure SQL, Cosmos DB, Data Lake, Synapse Analytics Integration: Azure API Management, Logic Apps, Service Bus, Event Grid Security: Azure Active Directory (Entra ID), Key Vault, Managed Identities Design for high availability, disaster recovery, and business continuity using Azure-native capabilities Ensure effective use of Infrastructure as Code (IaC) using Bicep, ARM templates, or Terraform Integration & System Design Define integration patterns and system interactions across microservices and enterprise systems Design APIs and event-driven architectures using REST, messaging, and asynchronous patterns Ensure interoperability between legacy systems and modern cloud-based platforms Technical Leadership & Governance Provide technical leadership and architectural guidance to development and engineering teams Review and approve solution designs and key technical decisions Ensure alignment with enterprise architecture standards, governance frameworks, and design principles Define and enforce architecture governance processes, design reviews, and checkpoints Technology Evaluation & Innovation Evaluate new technologies, frameworks, and tools within the Azure ecosystem Conduct proofs of concept (PoCs) and recommend solutions based on business and technical fit Drive adoption of cloud best practices, DevSecOps, and modern engineering approaches Security, Compliance & Risk Management Ensure compliance with security best practices, regulatory requirements (e.g., GDPR), and organisational policies Embed zero-trust architecture principles and secure design practices Identify and mitigate technical risks, vulnerabilities, and architectural gaps Stakeholder Engagement Engage with business stakeholders, product owners, and leadership teams to understand requirements Translate business needs into scalable and pragmatic technical architecture solutions Communicate architecture decisions, trade-offs, and risks clearly to both technical and non-technical audiences Delivery Support & Collaboration Collaborate with Agile delivery teams, DevOps engineers, QA teams, and architects Support programme delivery, roadmap planning, and release strategies Provide guidance during implementation, integration, and deployment phases Qualifications Bachelor's degree in Computer Science, Engineering, or related discipline Microsoft Certified: Azure Solutions Architect Expert TOGAF or equivalent architecture certification Azure DevOps / Security certifications (advantageous) Essential Skills Deep expertise in Microsoft Azure cloud platform Strong knowledge of the Azure Well-Architected Framework, including reliability, security, cost optimisation, operational excellence, and performance efficiency Strong knowledge of cloud-native architecture patterns and microservices-based design Strong understanding of distributed systems design Strong understanding of event-driven architectures Strong understanding of API-first design principles Ability to produce architecture diagrams, artefacts, and standards documentation Strong understanding of Infrastructure as Code (IaC) Familiarity with Docker containerisation and AKS/Kubernetes orchestration Knowledge of Azure security services and identity management Familiarity with DevSecOps practices and security automation Knowledge of data governance, data pipelines, and real-time processing Strong leadership and decision-making capability Excellent stakeholder management and communication skills Strategic thinking with attention to technical detail Ability to balance innovation with delivery pragmatism High level of accountability and ownership Experience Experience with enterprise architecture frameworks (e.g., TOGAF) Experience implementing CI/CD pipelines using Azure DevOps and GitHub Actions Experience implementing secure design principles and compliance frameworks Experience designing data platforms and integration architectures Proven delivery of robust, scalable, secure, and future-proof architecture solutions Experience delivering highly resilient systems with minimal downtime and strong performance outcomes Experience providing clear and consistent technical direction across multiple delivery teams Experience driving adherence to architecture standards, governance, and best practices Experience improving system performance, cost optimisation, and resource utilisation within Azure environments Experience reducing technical debt through standardisation and modernisation initiatives Experience aligning business objectives with technical solutions Proven track record of delivering programme milestones and transformation objectives Experience reducing architecture-related risks and security vulnerabilities Experience ensuring compliance with enterprise, regulatory, and security standard Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo Equal Opportunity We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
27/07/2026
Full time
Overview Define, design, and govern the end-to-end technical architecture across cloud and on-premise systems, ensuring scalability, security, maintainability, and alignment with business and enterprise architecture objectives. The role is responsible for establishing Azure-based solution architectures, guiding delivery teams, and ensuring that technology decisions drive long-term value, resilience, and performance across the organisation. Responsibilities Solution Architecture & Design Design end-to-end solution architectures across applications, data, integrations, and infrastructure within Microsoft Azure environments Define architectural patterns for cloud-native, hybrid, and distributed systems Develop high-level and low-level designs (HLD/LLD), ensuring clarity for delivery teams Ensure solutions are scalable, resilient, secure, and cost-optimised Azure Cloud Architecture Define and implement architecture using Azure services, including: Compute: Azure App Services, Azure Kubernetes Service (AKS), Azure Functions Data: Azure SQL, Cosmos DB, Data Lake, Synapse Analytics Integration: Azure API Management, Logic Apps, Service Bus, Event Grid Security: Azure Active Directory (Entra ID), Key Vault, Managed Identities Design for high availability, disaster recovery, and business continuity using Azure-native capabilities Ensure effective use of Infrastructure as Code (IaC) using Bicep, ARM templates, or Terraform Integration & System Design Define integration patterns and system interactions across microservices and enterprise systems Design APIs and event-driven architectures using REST, messaging, and asynchronous patterns Ensure interoperability between legacy systems and modern cloud-based platforms Technical Leadership & Governance Provide technical leadership and architectural guidance to development and engineering teams Review and approve solution designs and key technical decisions Ensure alignment with enterprise architecture standards, governance frameworks, and design principles Define and enforce architecture governance processes, design reviews, and checkpoints Technology Evaluation & Innovation Evaluate new technologies, frameworks, and tools within the Azure ecosystem Conduct proofs of concept (PoCs) and recommend solutions based on business and technical fit Drive adoption of cloud best practices, DevSecOps, and modern engineering approaches Security, Compliance & Risk Management Ensure compliance with security best practices, regulatory requirements (e.g., GDPR), and organisational policies Embed zero-trust architecture principles and secure design practices Identify and mitigate technical risks, vulnerabilities, and architectural gaps Stakeholder Engagement Engage with business stakeholders, product owners, and leadership teams to understand requirements Translate business needs into scalable and pragmatic technical architecture solutions Communicate architecture decisions, trade-offs, and risks clearly to both technical and non-technical audiences Delivery Support & Collaboration Collaborate with Agile delivery teams, DevOps engineers, QA teams, and architects Support programme delivery, roadmap planning, and release strategies Provide guidance during implementation, integration, and deployment phases Qualifications Bachelor's degree in Computer Science, Engineering, or related discipline Microsoft Certified: Azure Solutions Architect Expert TOGAF or equivalent architecture certification Azure DevOps / Security certifications (advantageous) Essential Skills Deep expertise in Microsoft Azure cloud platform Strong knowledge of the Azure Well-Architected Framework, including reliability, security, cost optimisation, operational excellence, and performance efficiency Strong knowledge of cloud-native architecture patterns and microservices-based design Strong understanding of distributed systems design Strong understanding of event-driven architectures Strong understanding of API-first design principles Ability to produce architecture diagrams, artefacts, and standards documentation Strong understanding of Infrastructure as Code (IaC) Familiarity with Docker containerisation and AKS/Kubernetes orchestration Knowledge of Azure security services and identity management Familiarity with DevSecOps practices and security automation Knowledge of data governance, data pipelines, and real-time processing Strong leadership and decision-making capability Excellent stakeholder management and communication skills Strategic thinking with attention to technical detail Ability to balance innovation with delivery pragmatism High level of accountability and ownership Experience Experience with enterprise architecture frameworks (e.g., TOGAF) Experience implementing CI/CD pipelines using Azure DevOps and GitHub Actions Experience implementing secure design principles and compliance frameworks Experience designing data platforms and integration architectures Proven delivery of robust, scalable, secure, and future-proof architecture solutions Experience delivering highly resilient systems with minimal downtime and strong performance outcomes Experience providing clear and consistent technical direction across multiple delivery teams Experience driving adherence to architecture standards, governance, and best practices Experience improving system performance, cost optimisation, and resource utilisation within Azure environments Experience reducing technical debt through standardisation and modernisation initiatives Experience aligning business objectives with technical solutions Proven track record of delivering programme milestones and transformation objectives Experience reducing architecture-related risks and security vulnerabilities Experience ensuring compliance with enterprise, regulatory, and security standard Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo Equal Opportunity We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Data Engineer Newcastle (Hybrid) Permanent Competitive salary + package Im currently working with a global consultancy to hire Data Engineers to join a growing Advanced Technology team delivering large-scale data solutions across public and private sector clients. This is a hands-on role where youll work with modern data technologies, building scalable pipelines and real-time data platforms that power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/CD and Infrastructure as Code (Terraform, CloudFormation) Collaborating with analytics, AI, and product teams to deliver high-quality, reliable datasets What theyre looking for Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka / Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider this role? Work on high-impact, large-scale data projects Exposure to modern cloud and streaming technologies Strong career progression within a global organisation Collaborative, innovation-focused engineering culture Please note: This role requires eligibility for UK security clearance (5 years UK residency). JBRP1_UKTJ
27/07/2026
Full time
Data Engineer Newcastle (Hybrid) Permanent Competitive salary + package Im currently working with a global consultancy to hire Data Engineers to join a growing Advanced Technology team delivering large-scale data solutions across public and private sector clients. This is a hands-on role where youll work with modern data technologies, building scalable pipelines and real-time data platforms that power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/CD and Infrastructure as Code (Terraform, CloudFormation) Collaborating with analytics, AI, and product teams to deliver high-quality, reliable datasets What theyre looking for Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka / Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider this role? Work on high-impact, large-scale data projects Exposure to modern cloud and streaming technologies Strong career progression within a global organisation Collaborative, innovation-focused engineering culture Please note: This role requires eligibility for UK security clearance (5 years UK residency). JBRP1_UKTJ
Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a software developer with a keen interest in generating real-world impact with industrial applications. Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Existing interest in any of software automation, testing, or deployment. Understanding of software engineering best practices. Programming experience with any of C#, Rust, or other typed languages. Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have Relevant degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Previous applied experience, e.g. internships or research projects, with industry or in technology startups. DevOps experience with any of Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security. Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch). Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries. Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. the company is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do (60%) Support the development and testing of features, fixes and general improvements to the core the company product. Investigate and address production issues. (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £60,000 to £85,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our policy on equality, diversity and inclusion the company is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.
27/07/2026
Full time
Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a software developer with a keen interest in generating real-world impact with industrial applications. Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Existing interest in any of software automation, testing, or deployment. Understanding of software engineering best practices. Programming experience with any of C#, Rust, or other typed languages. Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have Relevant degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Previous applied experience, e.g. internships or research projects, with industry or in technology startups. DevOps experience with any of Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security. Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch). Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries. Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. the company is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do (60%) Support the development and testing of features, fixes and general improvements to the core the company product. Investigate and address production issues. (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £60,000 to £85,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our policy on equality, diversity and inclusion the company is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.
Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We're looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions. This role blends hands on engineering, AI/ML innovation and client facing problem solving. You'll work across traditional data engineering and emerging LLM/agentic AI patterns, helping design and deploy scalable, production ready solutions. Role responsibilities Design and build scalable data solutions using BigQuery and GCP native tooling Develop and deploy ML and AI solutions, including LLM based and agentic systems Work with tools such as Gemini to power conversational and analytical use cases Build and integrate analytical agents into real world applications Implement evaluation frameworks (version controlled via Git) to assess model and system performance Orchestrate APIs and enable seamless integration between models, data pipelines, and applications Apply modern MLOps and engineering best practices to deploy and maintain solutions in production Define and assess the quality and timeliness of available data sources Problem Solving & Client Engagement Translate business challenges into scalable data and AI solutions Communicate complex technical concepts clearly to non technical stakeholders Lead client conversations to shape data and analytics solutions, building trust and guiding them through technical and strategic decisions Work closely with cross functional teams (engineering, product, business) Help shape opportunities where conversational analytics and AI can drive value Required Skills Strong experience as a Data Engineer / Tech Lead within GCP Deep expertise in BigQuery and cloud based data architectures Hands on experience building and integrating ML / AI models into applications Experience with LLMs, RAG, embeddings, or agentic AI systems Experience with API orchestration and system integration Familiarity with evaluation pipelines and version control (Git) Strong communicator who can bridge technical and business teams Curious, pragmatic problem solver with a focus on impact Comfortable working in ambiguity and shaping new AI driven solutions Collaborative mindset with the ability to guide and influence others Nice to have Experience with Gemini, ADK, or similar AI frameworks Exposure to CDPs, analytics tooling, or customer data ecosystems Experience with MLOps and productionising AI solutions If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. The benefits This is a full time position based in the UK. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
27/07/2026
Full time
Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We're looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions. This role blends hands on engineering, AI/ML innovation and client facing problem solving. You'll work across traditional data engineering and emerging LLM/agentic AI patterns, helping design and deploy scalable, production ready solutions. Role responsibilities Design and build scalable data solutions using BigQuery and GCP native tooling Develop and deploy ML and AI solutions, including LLM based and agentic systems Work with tools such as Gemini to power conversational and analytical use cases Build and integrate analytical agents into real world applications Implement evaluation frameworks (version controlled via Git) to assess model and system performance Orchestrate APIs and enable seamless integration between models, data pipelines, and applications Apply modern MLOps and engineering best practices to deploy and maintain solutions in production Define and assess the quality and timeliness of available data sources Problem Solving & Client Engagement Translate business challenges into scalable data and AI solutions Communicate complex technical concepts clearly to non technical stakeholders Lead client conversations to shape data and analytics solutions, building trust and guiding them through technical and strategic decisions Work closely with cross functional teams (engineering, product, business) Help shape opportunities where conversational analytics and AI can drive value Required Skills Strong experience as a Data Engineer / Tech Lead within GCP Deep expertise in BigQuery and cloud based data architectures Hands on experience building and integrating ML / AI models into applications Experience with LLMs, RAG, embeddings, or agentic AI systems Experience with API orchestration and system integration Familiarity with evaluation pipelines and version control (Git) Strong communicator who can bridge technical and business teams Curious, pragmatic problem solver with a focus on impact Comfortable working in ambiguity and shaping new AI driven solutions Collaborative mindset with the ability to guide and influence others Nice to have Experience with Gemini, ADK, or similar AI frameworks Exposure to CDPs, analytics tooling, or customer data ecosystems Experience with MLOps and productionising AI solutions If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. The benefits This is a full time position based in the UK. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role We are looking for an experienced Penetration Tester who can bridge the gap between deep technical exploitation and real-world business risk. This isn't just about running scanners and handing over a PDF; it's about adversarial empathy, understanding how our systems and services work so you can show us how they may be compromised. While you will sit within the Information Security team, you won't be siloed; you will be "dropped in" to test across various business domains, working side-by-side with Infrastructure Engineers and Software Developers and in collaboration with all parts of the Information Security Team. Your approach is to move beyond finding 'bugs' to helping out teams build inherently resilient systems. As an early member of our internal Pentesting capability, you won't just follow a manual, you will help write it. A key aspect of this role involves: Collaborating with your peers to design a continuous testing framework that evolves with our tech stack. Sharing knowledge with the wider technical faculty to elevate our collective security posture. Additionally, we understand the importance of knowledge and expertise remaining current and you shall support the continued advancement of our penetration testing through research, design and implementation of new solutions, including automation. Responsibilities End-to-End Assessments: Conducting penetration tests on our core banking platform, focusing on Cloud and Application Security. Code Review: Performing manual secure code reviews to identify logic flaws and security anti-patterns. Threat Modelling: Participate in sessions with different teams to identify design flaws before code is written. Risk Contextualisation: Contextualising technical vulnerabilities into "Real-World Risk" scenarios to demonstrate business impact to non-technical executives and within Engine's risk management framework. Cloud Security: Collaborating with Infrastructure teams to audit and secure cloud configurations. Autonomous Execution: Acting as an independent operator within the team, managing your own testing scope and timelines across different business domains. Remediation: Providing clear, actionable remediation advice that balances security requirements with engineering velocity. Strategic Reporting: Translate complex technical exploits into actionable business risk summaries for non-technical stakeholders and executive leadership. Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. Technical Skills Ideally, we would like: Experience: 5+ years experience in penetration testing with a focus on cloud native infrastructure, web applications, APIs. Tooling: Expert-level proficiency with industry-standard tools and the ability to "go manual" when scanners fail. Cloud Native: Experience with Cloud Security, (AWS/GCP) specifically AWS/EKS. Code Fluency: Ability to conduct code reviews in multiple languages, primarily Java and Go. Mobile: Experience testing Mobile Applications (iOS and Android). SDLC: You have a working understanding of how software is architected, built and deployed. Scripting: You have the ability to write your own scripts and tooling to aid in pentesting and improve efficiency. Golang, Python etc. Soft Skills Communication: Exceptional written and spoken communication skills: the ability to communicate complex technical issues to engineers and business risk to executives. Proactivity: A self-starting nature. You don't wait for a ticket to find a vulnerability. Got downtime? You're digging into codebases, closing off retesting items and generally getting it done. Independence: Ability to work independently while remaining a collaborative partner to the wider engineering team. Adaptability: Engine is evolving. You are able to evolve and develop as our requirements shift over time. Nice to have Infrastructure as Code (IaC): Experience auditing Terraform or CloudFormation templates. DevSecOps: Familiarity with integrating security tooling (DAST/SAST) into CI/CD pipelines. 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
27/07/2026
Full time
At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role We are looking for an experienced Penetration Tester who can bridge the gap between deep technical exploitation and real-world business risk. This isn't just about running scanners and handing over a PDF; it's about adversarial empathy, understanding how our systems and services work so you can show us how they may be compromised. While you will sit within the Information Security team, you won't be siloed; you will be "dropped in" to test across various business domains, working side-by-side with Infrastructure Engineers and Software Developers and in collaboration with all parts of the Information Security Team. Your approach is to move beyond finding 'bugs' to helping out teams build inherently resilient systems. As an early member of our internal Pentesting capability, you won't just follow a manual, you will help write it. A key aspect of this role involves: Collaborating with your peers to design a continuous testing framework that evolves with our tech stack. Sharing knowledge with the wider technical faculty to elevate our collective security posture. Additionally, we understand the importance of knowledge and expertise remaining current and you shall support the continued advancement of our penetration testing through research, design and implementation of new solutions, including automation. Responsibilities End-to-End Assessments: Conducting penetration tests on our core banking platform, focusing on Cloud and Application Security. Code Review: Performing manual secure code reviews to identify logic flaws and security anti-patterns. Threat Modelling: Participate in sessions with different teams to identify design flaws before code is written. Risk Contextualisation: Contextualising technical vulnerabilities into "Real-World Risk" scenarios to demonstrate business impact to non-technical executives and within Engine's risk management framework. Cloud Security: Collaborating with Infrastructure teams to audit and secure cloud configurations. Autonomous Execution: Acting as an independent operator within the team, managing your own testing scope and timelines across different business domains. Remediation: Providing clear, actionable remediation advice that balances security requirements with engineering velocity. Strategic Reporting: Translate complex technical exploits into actionable business risk summaries for non-technical stakeholders and executive leadership. Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. Technical Skills Ideally, we would like: Experience: 5+ years experience in penetration testing with a focus on cloud native infrastructure, web applications, APIs. Tooling: Expert-level proficiency with industry-standard tools and the ability to "go manual" when scanners fail. Cloud Native: Experience with Cloud Security, (AWS/GCP) specifically AWS/EKS. Code Fluency: Ability to conduct code reviews in multiple languages, primarily Java and Go. Mobile: Experience testing Mobile Applications (iOS and Android). SDLC: You have a working understanding of how software is architected, built and deployed. Scripting: You have the ability to write your own scripts and tooling to aid in pentesting and improve efficiency. Golang, Python etc. Soft Skills Communication: Exceptional written and spoken communication skills: the ability to communicate complex technical issues to engineers and business risk to executives. Proactivity: A self-starting nature. You don't wait for a ticket to find a vulnerability. Got downtime? You're digging into codebases, closing off retesting items and generally getting it done. Independence: Ability to work independently while remaining a collaborative partner to the wider engineering team. Adaptability: Engine is evolving. You are able to evolve and develop as our requirements shift over time. Nice to have Infrastructure as Code (IaC): Experience auditing Terraform or CloudFormation templates. DevSecOps: Familiarity with integrating security tooling (DAST/SAST) into CI/CD pipelines. 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
End Date Thursday 06 August 2026 Salary Range £36,224 - £38,130 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary This is a full time role based in Edinburgh, Bristol, Leeds or Manchester Job Description JOB TITLE: Data Engineer - Compliance Engineering SALARY: £36,224 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this Opportunity As a Data Engineer you'll focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers. About the Role We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous assurance driven by data insights. As a Data Engineer, you'll join a growing engineering team contributing to the development of regulatory security monitoring solutions. This is an excellent opportunity to build your skills at the intersection of security, data and modern engineering practices, working on real-world challenges at enterprise scale. What You'll Be Doing Support the development and improvement of regulatory security monitoring and compliance capabilities, helping ensure controls are effective and scalable. Contribute to security telemetry and monitoring solutions (including database activity monitoring) to support detection and regulatory requirements. Assist in developing data ingestion pipelines and monitoring use cases, working with structured and unstructured data sources. Support the automation of control monitoring and evidencing, helping enable continuous compliance. Work closely with engineers and security specialists to deliver reliable and high-quality services. Learn and apply modern engineering practices such as automation, testing and version control. Develop and maintain user documentation to support team collaboration. Continuously develop your knowledge of security, data engineering and compliance tooling. Why Lloyds Banking Group We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need A foundational understanding of technology, data or security concepts. Interest in security monitoring, logging or compliance. A willingness to learn about data pipelines, automation and modern engineering approaches. Strong problem-solving skills and a structured approach to learning. Good communication skills and the ability to work collaboratively within a team. Exposure to scripting or programming (e.g. Python, SQL or similar). Desirable Skills & Experience Awareness of cloud platforms (e.g. AWS, Azure, GCP). At least 1 years' experience of working with security concepts or regulatory monitoring controls. Exposure to Agile or collaborative ways of working. Interest in how automation and AI can be applied to improve security and compliance. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 24 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Organizational background At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Flexible Working Options For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
27/07/2026
Full time
End Date Thursday 06 August 2026 Salary Range £36,224 - £38,130 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary This is a full time role based in Edinburgh, Bristol, Leeds or Manchester Job Description JOB TITLE: Data Engineer - Compliance Engineering SALARY: £36,224 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this Opportunity As a Data Engineer you'll focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers. About the Role We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous assurance driven by data insights. As a Data Engineer, you'll join a growing engineering team contributing to the development of regulatory security monitoring solutions. This is an excellent opportunity to build your skills at the intersection of security, data and modern engineering practices, working on real-world challenges at enterprise scale. What You'll Be Doing Support the development and improvement of regulatory security monitoring and compliance capabilities, helping ensure controls are effective and scalable. Contribute to security telemetry and monitoring solutions (including database activity monitoring) to support detection and regulatory requirements. Assist in developing data ingestion pipelines and monitoring use cases, working with structured and unstructured data sources. Support the automation of control monitoring and evidencing, helping enable continuous compliance. Work closely with engineers and security specialists to deliver reliable and high-quality services. Learn and apply modern engineering practices such as automation, testing and version control. Develop and maintain user documentation to support team collaboration. Continuously develop your knowledge of security, data engineering and compliance tooling. Why Lloyds Banking Group We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need A foundational understanding of technology, data or security concepts. Interest in security monitoring, logging or compliance. A willingness to learn about data pipelines, automation and modern engineering approaches. Strong problem-solving skills and a structured approach to learning. Good communication skills and the ability to work collaboratively within a team. Exposure to scripting or programming (e.g. Python, SQL or similar). Desirable Skills & Experience Awareness of cloud platforms (e.g. AWS, Azure, GCP). At least 1 years' experience of working with security concepts or regulatory monitoring controls. Exposure to Agile or collaborative ways of working. Interest in how automation and AI can be applied to improve security and compliance. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 24 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Organizational background At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Flexible Working Options For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
Select how often (in days) to receive an alert: Key Information Location: Palestra/WFH, Surface Transport Corp Company: TfL, GLA or OPDC Job title: Senior Transport Visualisation & Data Developer (known internally as Senior Visualisation Modeller) Salary: Circa £45,000 Grade: Band 2 Contract type: TfL Reference: 5155 Team: Network Performance Delivery Directorate: Chief Operating Officer Contract details: Full-time Location: Southwark, London SE1, with hybrid working Hybrid working within this role enables a balance of 50 per cent of time split between the office and home over a 4-week period. Hybrid working arrangements can evolve subject to business requirements Application closing date: 30 July All offers of employment are subject to satisfactory right-to-work checks. Candidates must be able to demonstrate their right to work in the UK. At the present time TfL is unable to offer visa sponsorship for this role. Overview of project/role At TfL's Network Performance, we're focused on keeping London moving. Working across one of the world's most complex urban transport networks, we use data, insight and innovative thinking to improve journey time reliability, reduce congestion and support better outcomes for everyone who travels around the capital. From enhancing bus priority and optimising traffic signals to supporting major programmes such as Superloop, our teams work collaboratively to deliver practical, customer-focused improvements that make a real difference to millions of journeys every day. TfL's Network Performance team is bridging the gap between complex transport analytics and high-impact stakeholder communication. We sit at the intersection of traffic engineering, data science, and interactive visual media. We are looking for a Senior Transport Visualisation & Data Developer-a hybrid role for someone who understands traffic modelling methodologies and possesses the technical skills to transform heavy datasets into compelling, interactive visual stories. Whether you are building 3D game-engine simulations of new road layouts, developing interactive R Shiny dashboards for decision-makers, or scripting custom data pipelines to streamline Vissim/Visum outputs, your work will directly influence major London transport initiatives like Superloop and signal optimisation programs. You'll also play a key role in driving innovation, continually exploring new tools, technologies and techniques to enhance the way TfL visualises and communicates data, modelling outputs and network performance insights. Key Accountabilities Technical Visualisation: Design and build high-quality 2D/3D visual assets, interactive dashboards (e.g., R Shiny), and game engine environments (Unity) to explain complex transport concepts to non-technical stakeholders Data & Modelling Integration: Develop custom scripts and automation tools to process, clean, and convert large traffic modelling outputs into visual pipelines Cinematic & Spatial Content: Create accurate 3D animations, flythroughs, and visual assets representing proposed engineering and traffic schemes for public consultations, broadcast, and executive briefings Process Optimisation: Collaborate with Transport Modellers to build custom tools and workflows that improve the speed, accuracy, and presentation of traffic models Stakeholder Engagement: Translate detailed transport analysis insights into clear, persuasive visual narratives for decision-makers and the public Standards & Innovation: Drive technical best practices across the team by exploring emerging visual technologies, real-time rendering tools, and data analytics frameworks. Skills, Knowledge & Experience Skills Data Processing & Scripting: Strong coding capability (e.g., C#, Python, R, or C++) to write custom scripts, automate data processing, and handle large transport datasets (Essential) Visual & Spatial Design: Methodical approach to creating high-quality visual outputs with a keen eye for accurate spatial presentation, detail, and clear layout (Essential) Analytical & Problem Solving: Excellent numeracy and logical problem-solving skills, with a high standard for maintaining clean code and data accuracy (Essential) Technical Communication: Strong verbal and written communication skills, with the proven ability to translate complex engineering concepts into accessible visual formats for diverse audiences (Essential) Project Prioritisation: Ability to define technical requirements, manage individual deliverables, and deliver high-quality outputs to agreed deadlines (Highly Desirable) Knowledge Transport Modelling Software: Working knowledge and clear understanding of standard micro/macro traffic modelling tools (e.g., Vissim, Visum, or LinSig) (Essential) Real-Time & Interactive Software: Working knowledge of interactive web applications or game engines used for visual rendering (e.g., Unity, R Shiny, 3ds Max) (Essential) Traffic Engineering Principles: Understanding of core traffic management concepts and signal control techniques (Essential) Urban Traffic Control (UTC): Awareness of London UTC systems and adaptive control strategies such as SCOOT (Desirable) Production Pipelines: Understanding of digital rendering, animation, and video post-production workflows (e.g., Adobe Creative Cloud / After Effects) (Desirable) Experience Hybrid Visual & Data Delivery: Practical experience transforming complex raw datasets into interactive visual dashboards, 3D environments, or technical graphics (Essential) Traffic & Spatial Data Handling: Experience working directly with traffic modelling outputs, spatial datasets, or transport network data (Essential) Client & Stakeholder Presentation: Proven experience conceptualising and presenting visual proposals or technical insights to non-technical decision-makers (Highly Desirable) Industry Background: Experience gained within a transport planning, civil engineering, data visualization, or visual effects/design consultancy environment (Desirable) Education & Qualifications: Relevant degree, HNC, or equivalent practical experience in Traffic Engineering, Computer Science, Data Visualisation, or a related technical discipline (Essential) Additional information Interview for this role are scheduled to take place from 07 September 2026. Equality, diversity and inclusion We are committed to equality, diversity and inclusion. We want to represent the city we serve, which will help us become a more innovative and efficient organisation. Our goal is to make our recruitment as inclusive as possible. We are a disability confident employer who guarantee an interview to any disabled candidate who meets all of the essential criteria. We also use anonymising software that removes identifying information from CVs and cover letters to make the process fair. In return for your commitment and expertise, you will enjoy excellent benefits and scope to grow. Rewards vary according to the level of role but mostly include the below: Final salary pension scheme Free travel for you on the TfL network Reimbursement of 75% of the cost of a standard class Ticket for National Rail travel from home 30 days annual leave plus public and bank holidays TfL is committed to work-life balance, operating a hybrid working approach where business and role requirements allow Tax-efficient cycle-to-work programme Retail, health, leisure and travel offers Discounted Eurostar travel We will make every effort to give you as much notice as possible, however some interviews/assessments could be organised at short notice. Vetting Process At Transport for London, safety, trust and fairness sit at the heart of how we recruit. Our Vetting Charter () explains the checks we carry out before you join us, helping ensure we create a safe, inclusive and reliable network for everyone who depends on our services. We simply ask that the information you provide is honest and accurate so we can progress your application smoothly. If something doesn't match or can't be verified, we may not be able to move forward with your application, but we'll always treat you with transparency, respect, and clear communication throughout.
27/07/2026
Full time
Select how often (in days) to receive an alert: Key Information Location: Palestra/WFH, Surface Transport Corp Company: TfL, GLA or OPDC Job title: Senior Transport Visualisation & Data Developer (known internally as Senior Visualisation Modeller) Salary: Circa £45,000 Grade: Band 2 Contract type: TfL Reference: 5155 Team: Network Performance Delivery Directorate: Chief Operating Officer Contract details: Full-time Location: Southwark, London SE1, with hybrid working Hybrid working within this role enables a balance of 50 per cent of time split between the office and home over a 4-week period. Hybrid working arrangements can evolve subject to business requirements Application closing date: 30 July All offers of employment are subject to satisfactory right-to-work checks. Candidates must be able to demonstrate their right to work in the UK. At the present time TfL is unable to offer visa sponsorship for this role. Overview of project/role At TfL's Network Performance, we're focused on keeping London moving. Working across one of the world's most complex urban transport networks, we use data, insight and innovative thinking to improve journey time reliability, reduce congestion and support better outcomes for everyone who travels around the capital. From enhancing bus priority and optimising traffic signals to supporting major programmes such as Superloop, our teams work collaboratively to deliver practical, customer-focused improvements that make a real difference to millions of journeys every day. TfL's Network Performance team is bridging the gap between complex transport analytics and high-impact stakeholder communication. We sit at the intersection of traffic engineering, data science, and interactive visual media. We are looking for a Senior Transport Visualisation & Data Developer-a hybrid role for someone who understands traffic modelling methodologies and possesses the technical skills to transform heavy datasets into compelling, interactive visual stories. Whether you are building 3D game-engine simulations of new road layouts, developing interactive R Shiny dashboards for decision-makers, or scripting custom data pipelines to streamline Vissim/Visum outputs, your work will directly influence major London transport initiatives like Superloop and signal optimisation programs. You'll also play a key role in driving innovation, continually exploring new tools, technologies and techniques to enhance the way TfL visualises and communicates data, modelling outputs and network performance insights. Key Accountabilities Technical Visualisation: Design and build high-quality 2D/3D visual assets, interactive dashboards (e.g., R Shiny), and game engine environments (Unity) to explain complex transport concepts to non-technical stakeholders Data & Modelling Integration: Develop custom scripts and automation tools to process, clean, and convert large traffic modelling outputs into visual pipelines Cinematic & Spatial Content: Create accurate 3D animations, flythroughs, and visual assets representing proposed engineering and traffic schemes for public consultations, broadcast, and executive briefings Process Optimisation: Collaborate with Transport Modellers to build custom tools and workflows that improve the speed, accuracy, and presentation of traffic models Stakeholder Engagement: Translate detailed transport analysis insights into clear, persuasive visual narratives for decision-makers and the public Standards & Innovation: Drive technical best practices across the team by exploring emerging visual technologies, real-time rendering tools, and data analytics frameworks. Skills, Knowledge & Experience Skills Data Processing & Scripting: Strong coding capability (e.g., C#, Python, R, or C++) to write custom scripts, automate data processing, and handle large transport datasets (Essential) Visual & Spatial Design: Methodical approach to creating high-quality visual outputs with a keen eye for accurate spatial presentation, detail, and clear layout (Essential) Analytical & Problem Solving: Excellent numeracy and logical problem-solving skills, with a high standard for maintaining clean code and data accuracy (Essential) Technical Communication: Strong verbal and written communication skills, with the proven ability to translate complex engineering concepts into accessible visual formats for diverse audiences (Essential) Project Prioritisation: Ability to define technical requirements, manage individual deliverables, and deliver high-quality outputs to agreed deadlines (Highly Desirable) Knowledge Transport Modelling Software: Working knowledge and clear understanding of standard micro/macro traffic modelling tools (e.g., Vissim, Visum, or LinSig) (Essential) Real-Time & Interactive Software: Working knowledge of interactive web applications or game engines used for visual rendering (e.g., Unity, R Shiny, 3ds Max) (Essential) Traffic Engineering Principles: Understanding of core traffic management concepts and signal control techniques (Essential) Urban Traffic Control (UTC): Awareness of London UTC systems and adaptive control strategies such as SCOOT (Desirable) Production Pipelines: Understanding of digital rendering, animation, and video post-production workflows (e.g., Adobe Creative Cloud / After Effects) (Desirable) Experience Hybrid Visual & Data Delivery: Practical experience transforming complex raw datasets into interactive visual dashboards, 3D environments, or technical graphics (Essential) Traffic & Spatial Data Handling: Experience working directly with traffic modelling outputs, spatial datasets, or transport network data (Essential) Client & Stakeholder Presentation: Proven experience conceptualising and presenting visual proposals or technical insights to non-technical decision-makers (Highly Desirable) Industry Background: Experience gained within a transport planning, civil engineering, data visualization, or visual effects/design consultancy environment (Desirable) Education & Qualifications: Relevant degree, HNC, or equivalent practical experience in Traffic Engineering, Computer Science, Data Visualisation, or a related technical discipline (Essential) Additional information Interview for this role are scheduled to take place from 07 September 2026. Equality, diversity and inclusion We are committed to equality, diversity and inclusion. We want to represent the city we serve, which will help us become a more innovative and efficient organisation. Our goal is to make our recruitment as inclusive as possible. We are a disability confident employer who guarantee an interview to any disabled candidate who meets all of the essential criteria. We also use anonymising software that removes identifying information from CVs and cover letters to make the process fair. In return for your commitment and expertise, you will enjoy excellent benefits and scope to grow. Rewards vary according to the level of role but mostly include the below: Final salary pension scheme Free travel for you on the TfL network Reimbursement of 75% of the cost of a standard class Ticket for National Rail travel from home 30 days annual leave plus public and bank holidays TfL is committed to work-life balance, operating a hybrid working approach where business and role requirements allow Tax-efficient cycle-to-work programme Retail, health, leisure and travel offers Discounted Eurostar travel We will make every effort to give you as much notice as possible, however some interviews/assessments could be organised at short notice. Vetting Process At Transport for London, safety, trust and fairness sit at the heart of how we recruit. Our Vetting Charter () explains the checks we carry out before you join us, helping ensure we create a safe, inclusive and reliable network for everyone who depends on our services. We simply ask that the information you provide is honest and accurate so we can progress your application smoothly. If something doesn't match or can't be verified, we may not be able to move forward with your application, but we'll always treat you with transparency, respect, and clear communication throughout.
EngineerApplyremote type: Hybridlocations: Southampton, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR002963 2 Engineer roles Full time Salary: £43,918.00 - £51,238.00 (dependent on experience) Working pattern: Hybrid working Location: Southampton About the team You'll be joining a collaborative and inclusive Technology team that plays a key role in delivering high quality data, via reliable and secure software services for Ordnance Survey and our customers.Our Technology teams are responsible for: Building and maintaining scalable software products and services using modern engineering practices Working on nationally significant platforms and services that are used across Great Britain Collaborating across OS and with external partners to deliver value efficiently Exploring new tools, technologies and engineering practices to continually improve delivery Embracing opportunities for learning, mentoring and continuous improvementWe keep how we work simple and clear, so everyone can contribute and move forward together. About the role These roles are an opportunity to make a genuine contribution to Ordnance Survey's mission. You'll design, build and maintain Cloud infrastructure components in the Microsoft Azure platform, using iterative delivery approaches, while helping to improve engineering standards and supporting other engineers.In the role, you will: Configure, deploy and maintain Cloud infrastructure, to ensure our systems - both internal and customer-facing are running effectively Apply and promote best practice engineering patterns to optimise delivery Ensure our systems are secure, robust and well tested Support and operate services in production, identifying and resolving issues Collaborate with colleagues and stakeholders to deliver valuable outcomes Contribute to continuous improvement of tools, processes and ways of working Support and mentor other engineers in your area of expertiseWe aim to provide a realistic picture of the role, the challenges involved and the impact you can have. What we're looking for We're looking for people who can demonstrate the skills and experience needed for this role and who aligns with our principles.You'll bring: Experience in configuring, deploying and maintaining Cloud infrastructure in the Microsoft Azure platform The ability to apply best practice patterns and improve ways of working Experience building secure, well tested and maintainable software Strong problem solving skills, including diagnosing and resolving production issues The ability to collaborate effectively and communicate clearly with others Experience supporting or mentoring colleagues within a technical environment A thoughtful, inclusive and professional approach to your work Tools, systems or technologies We are looking for people who already have a good understanding of the technologies we use. Depending on the team you join, you will work with a selection of the following: Azure cloud technologies: + App Services + Virtual Machines + Storage Accounts + Key Vaults + Entra ID + Managed Identity + Azure SQL Azure DevOps functionality: + Git code repositories + CI/CD pipelines (YAML and Classic) + ARM/Bicep templates Languages to support the configuration and deployment of Azure infrastructure, such as Python or PowerShell The Rewards We want you to love what you do and feel supported to do your best work.Our benefits include: Competitive salary and pension (OS contribute up to 12.07%) Performance related bonus (where applicable) 28 days annual leave plus bank holidays (increasing with service) Enhanced family leave, including paid partner leave Hybrid and flexible working options Learning and development support, coaching and mentoring Free subscription to OS Maps and access to wellbeing support Volunteering leave and matched fundraising Location & Working Pattern We embrace a hybrid working model at OS, because we believe in flexibility and balance. You'll be based at our fantastic HQ in Southampton, Hampshire, where you'll spend 50% of your working week collaborating face-to-face with colleagues. It's all about combining the best of both worlds connection and autonomy to help you thrive. Security & Eligibility OS conducts pre-employment checks for anyone made an offer of employment, including identity, right to work, employment history and criminal record checks (via Disclosure & Barring Services (DBS).Some of our roles may require additional security vetting. We will advise candidates during the recruitment process if additional vetting may be required for that specific role.This role requires the right to work in the UK at the time of application. Unfortunately, OS cannot provide visa sponsorship for this position. Inclusion at OS Research shows that people from underrepresented groups often hesitate to apply unless they meet every requirement. At Ordnance Survey, we're committed to building a diverse, inclusive and welcoming workplace.If this role excites you but your experience doesn't match every point, we encourage you to apply. You may be the right person for this role or another opportunity at OS.We are happy to consider any reasonable adjustments that people may need during the recruitment process, and you will be asked whether you require any during the application process. Key details Closing date: 23:59pm on Thursday 6th August 2026 Interview location: Interviews will be via MS Teams Who we are We are Ordnance Survey, Great Britain's national mapping service and a pioneer in geospatial technology. With over 230 years of trusted data, we empower better decisions, deeper understanding, and meaningful connections to the places we live, move through, and care for. Three principles one direction Clear the path - Cut the noise. Simplify. Move at pace. Seek the story - Listen. Understand. Speak up. Do what matters - Focus on value.Our principles unite us in delivering our Data & Destinations strategy with more simplicity, more clarity, and renewed momentum for each other and for our customers.They're here to create more good days, and fewer harder ones but only if each one of us plays our part. Skills required for this role: Analysis, Computer Coding, Computer Programming, Delivery Methodologies, Software Components, Software Development, Software Engineering, Technical Support, Testing
27/07/2026
Full time
EngineerApplyremote type: Hybridlocations: Southampton, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR002963 2 Engineer roles Full time Salary: £43,918.00 - £51,238.00 (dependent on experience) Working pattern: Hybrid working Location: Southampton About the team You'll be joining a collaborative and inclusive Technology team that plays a key role in delivering high quality data, via reliable and secure software services for Ordnance Survey and our customers.Our Technology teams are responsible for: Building and maintaining scalable software products and services using modern engineering practices Working on nationally significant platforms and services that are used across Great Britain Collaborating across OS and with external partners to deliver value efficiently Exploring new tools, technologies and engineering practices to continually improve delivery Embracing opportunities for learning, mentoring and continuous improvementWe keep how we work simple and clear, so everyone can contribute and move forward together. About the role These roles are an opportunity to make a genuine contribution to Ordnance Survey's mission. You'll design, build and maintain Cloud infrastructure components in the Microsoft Azure platform, using iterative delivery approaches, while helping to improve engineering standards and supporting other engineers.In the role, you will: Configure, deploy and maintain Cloud infrastructure, to ensure our systems - both internal and customer-facing are running effectively Apply and promote best practice engineering patterns to optimise delivery Ensure our systems are secure, robust and well tested Support and operate services in production, identifying and resolving issues Collaborate with colleagues and stakeholders to deliver valuable outcomes Contribute to continuous improvement of tools, processes and ways of working Support and mentor other engineers in your area of expertiseWe aim to provide a realistic picture of the role, the challenges involved and the impact you can have. What we're looking for We're looking for people who can demonstrate the skills and experience needed for this role and who aligns with our principles.You'll bring: Experience in configuring, deploying and maintaining Cloud infrastructure in the Microsoft Azure platform The ability to apply best practice patterns and improve ways of working Experience building secure, well tested and maintainable software Strong problem solving skills, including diagnosing and resolving production issues The ability to collaborate effectively and communicate clearly with others Experience supporting or mentoring colleagues within a technical environment A thoughtful, inclusive and professional approach to your work Tools, systems or technologies We are looking for people who already have a good understanding of the technologies we use. Depending on the team you join, you will work with a selection of the following: Azure cloud technologies: + App Services + Virtual Machines + Storage Accounts + Key Vaults + Entra ID + Managed Identity + Azure SQL Azure DevOps functionality: + Git code repositories + CI/CD pipelines (YAML and Classic) + ARM/Bicep templates Languages to support the configuration and deployment of Azure infrastructure, such as Python or PowerShell The Rewards We want you to love what you do and feel supported to do your best work.Our benefits include: Competitive salary and pension (OS contribute up to 12.07%) Performance related bonus (where applicable) 28 days annual leave plus bank holidays (increasing with service) Enhanced family leave, including paid partner leave Hybrid and flexible working options Learning and development support, coaching and mentoring Free subscription to OS Maps and access to wellbeing support Volunteering leave and matched fundraising Location & Working Pattern We embrace a hybrid working model at OS, because we believe in flexibility and balance. You'll be based at our fantastic HQ in Southampton, Hampshire, where you'll spend 50% of your working week collaborating face-to-face with colleagues. It's all about combining the best of both worlds connection and autonomy to help you thrive. Security & Eligibility OS conducts pre-employment checks for anyone made an offer of employment, including identity, right to work, employment history and criminal record checks (via Disclosure & Barring Services (DBS).Some of our roles may require additional security vetting. We will advise candidates during the recruitment process if additional vetting may be required for that specific role.This role requires the right to work in the UK at the time of application. Unfortunately, OS cannot provide visa sponsorship for this position. Inclusion at OS Research shows that people from underrepresented groups often hesitate to apply unless they meet every requirement. At Ordnance Survey, we're committed to building a diverse, inclusive and welcoming workplace.If this role excites you but your experience doesn't match every point, we encourage you to apply. You may be the right person for this role or another opportunity at OS.We are happy to consider any reasonable adjustments that people may need during the recruitment process, and you will be asked whether you require any during the application process. Key details Closing date: 23:59pm on Thursday 6th August 2026 Interview location: Interviews will be via MS Teams Who we are We are Ordnance Survey, Great Britain's national mapping service and a pioneer in geospatial technology. With over 230 years of trusted data, we empower better decisions, deeper understanding, and meaningful connections to the places we live, move through, and care for. Three principles one direction Clear the path - Cut the noise. Simplify. Move at pace. Seek the story - Listen. Understand. Speak up. Do what matters - Focus on value.Our principles unite us in delivering our Data & Destinations strategy with more simplicity, more clarity, and renewed momentum for each other and for our customers.They're here to create more good days, and fewer harder ones but only if each one of us plays our part. Skills required for this role: Analysis, Computer Coding, Computer Programming, Delivery Methodologies, Software Components, Software Development, Software Engineering, Technical Support, Testing
Are you looking for an opportunity to work on challenging Salesforce projects while collaborating with a high-performing, cross-functional engineering team? Bring your Salesforce expertise to the forefront and you will have the opportunity to shape and scale the way the company services their customers globally. Core Responsibilities Core Responsibilities Build solutions that follow best practices Design and develop data models and business logic Collaborate and communicate with business teams, product teams, engineering teams & consultants Participate in building, troubleshooting and optimising processes Provide day to day Marketing Cloud platform and user support Document as-is solutions and contribute to future-state architecture and solution design Work closely with Customer Data Platform (CDP), data warehouse, and broader data engineering teams to source, transform, and activate data for marketing use cases Contribute to improving data flows, integrations, and governance across marketing and enterprise data platforms Play your part in our team succeeding Play your part in our team succeeding Account, Membership, and Personalization Technology are focused on delivering martech solutions for LEGO that provides greater value and experiences to our customers. In this role, you will work closely with the product engineering team as well as data platform and CDP teams to provide an automated and scalable platform that securely brings value to our consumers and shoppers. Do you have what it takes? Do you have what it takes? Extensive experience in Salesforce Marketing Cloud configuration Hands on experience in building and running campaigns in a consumer organisation Proficient in HTML, SQL, AMPscript Setting up multi-channel journeys and automations in Marketing Cloud Running tests / experiments and analysing campaigns Experience integrating Marketing Cloud with external systems (e.g. APIs, data pipelines, event streams) Solid understanding of data modelling, identity resolution, and data quality in a marketing context Ability to work across teams and influence solutions beyond Marketing Cloud (e.g. CDP, data warehouse, backend services) Experience with a CDP platform and/or working with customer data models across systems Experience with data intelligence platforms like Databricks Advanced English both written and verbal would be ideal as we are an internationally gathered team. Build your career brick by brick at the company. "Bring your tech talent and people passion into play and become part of a big IT community and get the chance to spar with other specialists that share interest!" What's in it for you? What's in it for you? Here is what you can expect: Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the company, where everyone feels safe, valued and they belong. the company is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team. the company is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer. Thank you for sharing our global commitment to Children's Rights. Just imagine building your dream career. Then make it real. Join the LEGO team today.
27/07/2026
Full time
Are you looking for an opportunity to work on challenging Salesforce projects while collaborating with a high-performing, cross-functional engineering team? Bring your Salesforce expertise to the forefront and you will have the opportunity to shape and scale the way the company services their customers globally. Core Responsibilities Core Responsibilities Build solutions that follow best practices Design and develop data models and business logic Collaborate and communicate with business teams, product teams, engineering teams & consultants Participate in building, troubleshooting and optimising processes Provide day to day Marketing Cloud platform and user support Document as-is solutions and contribute to future-state architecture and solution design Work closely with Customer Data Platform (CDP), data warehouse, and broader data engineering teams to source, transform, and activate data for marketing use cases Contribute to improving data flows, integrations, and governance across marketing and enterprise data platforms Play your part in our team succeeding Play your part in our team succeeding Account, Membership, and Personalization Technology are focused on delivering martech solutions for LEGO that provides greater value and experiences to our customers. In this role, you will work closely with the product engineering team as well as data platform and CDP teams to provide an automated and scalable platform that securely brings value to our consumers and shoppers. Do you have what it takes? Do you have what it takes? Extensive experience in Salesforce Marketing Cloud configuration Hands on experience in building and running campaigns in a consumer organisation Proficient in HTML, SQL, AMPscript Setting up multi-channel journeys and automations in Marketing Cloud Running tests / experiments and analysing campaigns Experience integrating Marketing Cloud with external systems (e.g. APIs, data pipelines, event streams) Solid understanding of data modelling, identity resolution, and data quality in a marketing context Ability to work across teams and influence solutions beyond Marketing Cloud (e.g. CDP, data warehouse, backend services) Experience with a CDP platform and/or working with customer data models across systems Experience with data intelligence platforms like Databricks Advanced English both written and verbal would be ideal as we are an internationally gathered team. Build your career brick by brick at the company. "Bring your tech talent and people passion into play and become part of a big IT community and get the chance to spar with other specialists that share interest!" What's in it for you? What's in it for you? Here is what you can expect: Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the company, where everyone feels safe, valued and they belong. the company is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team. the company is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer. Thank you for sharing our global commitment to Children's Rights. Just imagine building your dream career. Then make it real. Join the LEGO team today.
Senior AWS Engineer (Data Platforms) A leading financial services organisation is seeking a skilled Senior AWS Engineer (Data Platforms) to join its team based in London. The company prides itself on fostering a dynamic and innovative culture, focusing on leveraging cloud technology to deliver exceptional services. This role involves designing and building scalable data pipelines, cloud-native integration services, and event driven solutions to support both front and back office systems. The position is crucial for ensuring the reliability, scalability, and efficiency of the organisation's data and cloud infrastructure. Role Overview This role is integral to supporting the organisation's AWS cloud programme, combining data engineering, AWS platform engineering, and production support. The Senior AWS Engineer will lead the development of data solutions, support ongoing systems, and promote automation and best practices within the team. Key Skills & Experience Strong experience with AWS services such as Glue, Lambda, Step Functions, EventBridge, S3, Athena, RDS, and CloudWatch Proficiency in Python and Terraform for automation and infrastructure management Experience with CI/CD pipelines using Bitbucket, GitHub Actions, or GitLab Data modelling and SQL expertise Knowledge of event driven architectures involving Kinesis, ActiveMQ, or RabbitMQ Experience with EKS and EC2 platforms Ability to monitor, support, and optimise cloud and data platforms Key Responsibilities Build and maintain scalable AWS data pipelines and integration platforms Develop and support real time and batch data solutions Support production systems, ensuring platform reliability and performance Lead automation initiatives through Infrastructure as Code practices Collaborate with architecture and engineering teams to deliver solutions Mentor internal engineers and promote sustainable operational practices Requirements Right to work in the UK Proven experience in AWS cloud environments, particularly with data platforms Experience working on hybrid (on site and cloud) environments Availability to start on 26/06/2026 for a 12 month contract Interested candidates are invited to apply for further details.
27/07/2026
Full time
Senior AWS Engineer (Data Platforms) A leading financial services organisation is seeking a skilled Senior AWS Engineer (Data Platforms) to join its team based in London. The company prides itself on fostering a dynamic and innovative culture, focusing on leveraging cloud technology to deliver exceptional services. This role involves designing and building scalable data pipelines, cloud-native integration services, and event driven solutions to support both front and back office systems. The position is crucial for ensuring the reliability, scalability, and efficiency of the organisation's data and cloud infrastructure. Role Overview This role is integral to supporting the organisation's AWS cloud programme, combining data engineering, AWS platform engineering, and production support. The Senior AWS Engineer will lead the development of data solutions, support ongoing systems, and promote automation and best practices within the team. Key Skills & Experience Strong experience with AWS services such as Glue, Lambda, Step Functions, EventBridge, S3, Athena, RDS, and CloudWatch Proficiency in Python and Terraform for automation and infrastructure management Experience with CI/CD pipelines using Bitbucket, GitHub Actions, or GitLab Data modelling and SQL expertise Knowledge of event driven architectures involving Kinesis, ActiveMQ, or RabbitMQ Experience with EKS and EC2 platforms Ability to monitor, support, and optimise cloud and data platforms Key Responsibilities Build and maintain scalable AWS data pipelines and integration platforms Develop and support real time and batch data solutions Support production systems, ensuring platform reliability and performance Lead automation initiatives through Infrastructure as Code practices Collaborate with architecture and engineering teams to deliver solutions Mentor internal engineers and promote sustainable operational practices Requirements Right to work in the UK Proven experience in AWS cloud environments, particularly with data platforms Experience working on hybrid (on site and cloud) environments Availability to start on 26/06/2026 for a 12 month contract Interested candidates are invited to apply for further details.
SalesForce Marketing Cloud EngineerApplylocations: London Hubtime type: Full timeposted on: Posted Todayjob requisition id: Job Description Are you looking for an opportunity to work on challenging Salesforce projects while collaborating with a high-performing, cross-functional engineering team?Bring your Salesforce expertise to the forefront and you will have the opportunity to shape and scale the way the LEGO Group services their customers globally. Please note that no relocation support is offered for this position # Core Responsibilities Build solutions that follow best practices Design and develop data models and business logic Collaborate and communicate with business teams, product teams, engineering teams & consultants Participate in building, troubleshooting and optimising processes Provide day to day Marketing Cloud platform and user support Document as-is solutions and contribute to future-state architecture and solution design Work closely with Customer Data Platform (CDP), data warehouse, and broader data engineering teams to source, transform, and activate data for marketing use cases Contribute to improving data flows, integrations, and governance across marketing and enterprise data platforms# Play your part in our team succeeding Account, Membership, and Personalization Technology are focused on delivering martech solutions for LEGO that provides greater value and experiences to our customers.In this role, you will work closely with the product engineering team as well as data platform and CDP teams to provide an automated and scalable platform that securely brings value to our consumers and shoppers.# Do you have what it takes? Extensive experience in Salesforce Marketing Cloud configuration Hands on experience in building and running campaigns in a consumer organisation Proficient in HTML, SQL, AMPscript Setting up multi-channel journeys and automations in Marketing Cloud Running tests / experiments and analysing campaigns Experience integrating Marketing Cloud with external systems (e.g. APIs, data pipelines, event streams) Solid understanding of data modelling, identity resolution, and data quality in a marketing context Ability to work across teams and influence solutions beyond Marketing Cloud (e.g. CDP, data warehouse, backend services) Experience with a CDP platform and/or working with customer data models across systems Experience with data intelligence platforms like DatabricksAdvanced English both written and verbal would be ideal as we are an internationally gathered team.# Build your career brick by brick at the LEGO Group. "Bring your tech talent and people passion into play and become part of a big IT community and get the chance to spar with other specialists that share interest!" are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible. What's in it for you? Here is what you can expect: Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.The LEGO Group is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.Thank you for sharing our global commitment to Children's Rights.Just imagine building your dream career.Then make it real. Join the LEGO team today.
27/07/2026
Full time
SalesForce Marketing Cloud EngineerApplylocations: London Hubtime type: Full timeposted on: Posted Todayjob requisition id: Job Description Are you looking for an opportunity to work on challenging Salesforce projects while collaborating with a high-performing, cross-functional engineering team?Bring your Salesforce expertise to the forefront and you will have the opportunity to shape and scale the way the LEGO Group services their customers globally. Please note that no relocation support is offered for this position # Core Responsibilities Build solutions that follow best practices Design and develop data models and business logic Collaborate and communicate with business teams, product teams, engineering teams & consultants Participate in building, troubleshooting and optimising processes Provide day to day Marketing Cloud platform and user support Document as-is solutions and contribute to future-state architecture and solution design Work closely with Customer Data Platform (CDP), data warehouse, and broader data engineering teams to source, transform, and activate data for marketing use cases Contribute to improving data flows, integrations, and governance across marketing and enterprise data platforms# Play your part in our team succeeding Account, Membership, and Personalization Technology are focused on delivering martech solutions for LEGO that provides greater value and experiences to our customers.In this role, you will work closely with the product engineering team as well as data platform and CDP teams to provide an automated and scalable platform that securely brings value to our consumers and shoppers.# Do you have what it takes? Extensive experience in Salesforce Marketing Cloud configuration Hands on experience in building and running campaigns in a consumer organisation Proficient in HTML, SQL, AMPscript Setting up multi-channel journeys and automations in Marketing Cloud Running tests / experiments and analysing campaigns Experience integrating Marketing Cloud with external systems (e.g. APIs, data pipelines, event streams) Solid understanding of data modelling, identity resolution, and data quality in a marketing context Ability to work across teams and influence solutions beyond Marketing Cloud (e.g. CDP, data warehouse, backend services) Experience with a CDP platform and/or working with customer data models across systems Experience with data intelligence platforms like DatabricksAdvanced English both written and verbal would be ideal as we are an internationally gathered team.# Build your career brick by brick at the LEGO Group. "Bring your tech talent and people passion into play and become part of a big IT community and get the chance to spar with other specialists that share interest!" are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible. What's in it for you? Here is what you can expect: Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.The LEGO Group is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.Thank you for sharing our global commitment to Children's Rights.Just imagine building your dream career.Then make it real. Join the LEGO team today.
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.
Job Description Are you looking for an opportunity to work on challenging Salesforce projects while collaborating with a high-performing, cross-functional engineering team? Bring your Salesforce expertise to the forefront and you will have the opportunity to shape and scale the way the LEGO Group services their customers globally. Please note that no relocation support is offered for this position Core Responsibilities Build solutions that follow best practices Design and develop data models and business logic Collaborate and communicate with business teams, product teams, engineering teams & consultants Participate in building, troubleshooting and optimising processes Provide day to day Marketing Cloud platform and user support Document as-is solutions and contribute to future-state architecture and solution design Work closely with Customer Data Platform (CDP), data warehouse, and broader data engineering teams to source, transform, and activate data for marketing use cases Contribute to improving data flows, integrations, and governance across marketing and enterprise data platforms Play your part in our team succeeding Account, Membership, and Personalization Technology are focused on delivering martech solutions for LEGO that provides greater value and experiences to our customers. In this role, you will work closely with the product engineering team as well as data platform and CDP teams to provide an automated and scalable platform that securely brings value to our consumers and shoppers. Do you have what it takes? Extensive experience in Salesforce Marketing Cloud configuration Hands on experience in building and running campaigns in a consumer organisation Proficient in HTML, SQL, AMPscript Setting up multi-channel journeys and automations in Marketing Cloud Running tests / experiments and analysing campaigns Experience integrating Marketing Cloud with external systems (e.g. APIs, data pipelines, event streams) Solid understanding of data modelling, identity resolution, and data quality in a marketing context Ability to work across teams and influence solutions beyond Marketing Cloud (e.g. CDP, data warehouse, backend services) Experience with a CDP platform and/or working with customer data models across systems Experience with data intelligence platforms like Databricks Advanced English both written and verbal would be ideal as we are an internationally gathered team Build your career brick by brick at the LEGO Group. "Bring your tech talent and people passion into play and become part of a big IT community and get the chance to spar with other specialists that share interest!" What's in it for you? Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong. The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team. The LEGO Group is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer. Thank you for sharing our global commitment to Children's Rights. Just imagine building your dream career. Then make it real. Join the LEGO team today. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. Our founder Ole Kirk Kristiansen made his first wooden toy in 1932. He persevered against the odds until his business was a success. Constantly innovating, never compromising. Building, rebuilding, and striving for the best. It is this resilience and permanent sense of renewal that drives us forward. We are never still. We will always be creating, inventing, andhaving fun. Build your career brick by brick and play your part in continuing our mission to "inspire and develop the builders of tomorrow".
27/07/2026
Full time
Job Description Are you looking for an opportunity to work on challenging Salesforce projects while collaborating with a high-performing, cross-functional engineering team? Bring your Salesforce expertise to the forefront and you will have the opportunity to shape and scale the way the LEGO Group services their customers globally. Please note that no relocation support is offered for this position Core Responsibilities Build solutions that follow best practices Design and develop data models and business logic Collaborate and communicate with business teams, product teams, engineering teams & consultants Participate in building, troubleshooting and optimising processes Provide day to day Marketing Cloud platform and user support Document as-is solutions and contribute to future-state architecture and solution design Work closely with Customer Data Platform (CDP), data warehouse, and broader data engineering teams to source, transform, and activate data for marketing use cases Contribute to improving data flows, integrations, and governance across marketing and enterprise data platforms Play your part in our team succeeding Account, Membership, and Personalization Technology are focused on delivering martech solutions for LEGO that provides greater value and experiences to our customers. In this role, you will work closely with the product engineering team as well as data platform and CDP teams to provide an automated and scalable platform that securely brings value to our consumers and shoppers. Do you have what it takes? Extensive experience in Salesforce Marketing Cloud configuration Hands on experience in building and running campaigns in a consumer organisation Proficient in HTML, SQL, AMPscript Setting up multi-channel journeys and automations in Marketing Cloud Running tests / experiments and analysing campaigns Experience integrating Marketing Cloud with external systems (e.g. APIs, data pipelines, event streams) Solid understanding of data modelling, identity resolution, and data quality in a marketing context Ability to work across teams and influence solutions beyond Marketing Cloud (e.g. CDP, data warehouse, backend services) Experience with a CDP platform and/or working with customer data models across systems Experience with data intelligence platforms like Databricks Advanced English both written and verbal would be ideal as we are an internationally gathered team Build your career brick by brick at the LEGO Group. "Bring your tech talent and people passion into play and become part of a big IT community and get the chance to spar with other specialists that share interest!" What's in it for you? Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong. The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team. The LEGO Group is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer. Thank you for sharing our global commitment to Children's Rights. Just imagine building your dream career. Then make it real. Join the LEGO team today. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. Our founder Ole Kirk Kristiansen made his first wooden toy in 1932. He persevered against the odds until his business was a success. Constantly innovating, never compromising. Building, rebuilding, and striving for the best. It is this resilience and permanent sense of renewal that drives us forward. We are never still. We will always be creating, inventing, andhaving fun. Build your career brick by brick and play your part in continuing our mission to "inspire and develop the builders of tomorrow".
Select how often (in days) to receive an alert: Location: London, Hybrid 1-2 days per weekon site Our Team: How we enrich everyday life You'llbe joining our Data & Decision Sciences (DDS) team at Bauer Media Audio, where we use data to power decisions across nine European markets.We'rea collaborative, cross-functional team working across commercial revenue, digital audiences, and consumer competitions,turning complex data into insights that shape how millions of people engage with our brands every day. Working closely with Data Engineers, Data Scientists, Product Managers and business stakeholders, we combine centralexpertisewith local market knowledge to deliver real impact. The difference you will make As an Analytics Engineer,you'llplay a key role in transforming raw data into trusted, business-ready insights.You'llhelp build the data models and semantic layers that underpin reporting and analytics across Bauer Media Audio, enabling teams to make smarter, faster decisions. This is an exciting opportunity to help modernise our data platform, working withemergingtechnologies and shaping how data is structured, defined, and consumed across the business. Your role You'lldesign and build scalable data models and pipelines that translate complex data into meaningful insights for the business. Responsibilities include, but are not limited to: Design and develop dimensional data models and marts usingdbtand Kimball principles Build and maintain transformation pipelines from raw data to business-ready datasets Define and evolve semantic layers to ensure consistent metrics and reporting across tools like Looker, Power BI and Tableau Collaborate with Data Engineers to shape upstream data and improve data pipelines Implement data quality checks and maintain reliable, trusted datasets Support the migration and modernisation of legacy data platforms to Snowflake Maintain documentation including data dictionaries and semantic definitions Contribute to agile workflows, code reviews, and cross-functional collaboration Get involved with setting up Airflow DAGs or write Terraform to setup infrastructure. The skills you will bring Must-have: Strong SQL skills and experience with modern cloud data warehouses (e.g. Snowflake, Redshift, orBigQuery) Hands-on experience with dbt for data transformation and modelling Solid understanding of dimensional modelling (Kimball methodology) Experience working with BI tools such as Looker or Power BI Comfort working in agile teams using tools like Jira and GitHub Strong communication skills with the ability to translate data into business concepts Nice-to-have: Experience with Snowflake or modern cloud data platforms Exposure to Airflow, Terraform, or CI/CD practices Experience with data quality tools such as Great Expectations Familiarity with Tableau or multi-BI environments Background in media, digital, or subscription-based businesses Experience using Python for data and analytics engineering tasks About Bauer Media Group We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe's largest Publishers. From women's and celebrities' magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France - both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people's everyday lives. What's in it for you You'll have 28 days holiday, bank holidays & 2 volunteer days to use. Your development matters, so access to our internal training provider - Bauer Academy, is a huge win. We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay. You'll have the opportunity for flexible working. And much more! Find the full details of our benefits here We are an international employer and equal opportunities are important to us. That's why we welcome everyone in their uniqueness, regardless of e.g. religion, gender, skin color, disability in our house. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or a long term health condition, and need us to make any reasonable adjustments or do anything differently during any stage of the recruitment process, please let us know by emailing We are actively recruiting for this position, so the job advert may close earlier than expected. If you have any feedback regarding our UK recruitment process, please email we would love to hear from you. Date Job Posting Last Updated: 24 Jul 2026
27/07/2026
Full time
Select how often (in days) to receive an alert: Location: London, Hybrid 1-2 days per weekon site Our Team: How we enrich everyday life You'llbe joining our Data & Decision Sciences (DDS) team at Bauer Media Audio, where we use data to power decisions across nine European markets.We'rea collaborative, cross-functional team working across commercial revenue, digital audiences, and consumer competitions,turning complex data into insights that shape how millions of people engage with our brands every day. Working closely with Data Engineers, Data Scientists, Product Managers and business stakeholders, we combine centralexpertisewith local market knowledge to deliver real impact. The difference you will make As an Analytics Engineer,you'llplay a key role in transforming raw data into trusted, business-ready insights.You'llhelp build the data models and semantic layers that underpin reporting and analytics across Bauer Media Audio, enabling teams to make smarter, faster decisions. This is an exciting opportunity to help modernise our data platform, working withemergingtechnologies and shaping how data is structured, defined, and consumed across the business. Your role You'lldesign and build scalable data models and pipelines that translate complex data into meaningful insights for the business. Responsibilities include, but are not limited to: Design and develop dimensional data models and marts usingdbtand Kimball principles Build and maintain transformation pipelines from raw data to business-ready datasets Define and evolve semantic layers to ensure consistent metrics and reporting across tools like Looker, Power BI and Tableau Collaborate with Data Engineers to shape upstream data and improve data pipelines Implement data quality checks and maintain reliable, trusted datasets Support the migration and modernisation of legacy data platforms to Snowflake Maintain documentation including data dictionaries and semantic definitions Contribute to agile workflows, code reviews, and cross-functional collaboration Get involved with setting up Airflow DAGs or write Terraform to setup infrastructure. The skills you will bring Must-have: Strong SQL skills and experience with modern cloud data warehouses (e.g. Snowflake, Redshift, orBigQuery) Hands-on experience with dbt for data transformation and modelling Solid understanding of dimensional modelling (Kimball methodology) Experience working with BI tools such as Looker or Power BI Comfort working in agile teams using tools like Jira and GitHub Strong communication skills with the ability to translate data into business concepts Nice-to-have: Experience with Snowflake or modern cloud data platforms Exposure to Airflow, Terraform, or CI/CD practices Experience with data quality tools such as Great Expectations Familiarity with Tableau or multi-BI environments Background in media, digital, or subscription-based businesses Experience using Python for data and analytics engineering tasks About Bauer Media Group We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe's largest Publishers. From women's and celebrities' magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France - both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people's everyday lives. What's in it for you You'll have 28 days holiday, bank holidays & 2 volunteer days to use. Your development matters, so access to our internal training provider - Bauer Academy, is a huge win. We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay. You'll have the opportunity for flexible working. And much more! Find the full details of our benefits here We are an international employer and equal opportunities are important to us. That's why we welcome everyone in their uniqueness, regardless of e.g. religion, gender, skin color, disability in our house. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or a long term health condition, and need us to make any reasonable adjustments or do anything differently during any stage of the recruitment process, please let us know by emailing We are actively recruiting for this position, so the job advert may close earlier than expected. If you have any feedback regarding our UK recruitment process, please email we would love to hear from you. Date Job Posting Last Updated: 24 Jul 2026
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist Location: London YOU ARE As a hands on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands on role - you will spend the majority of your time in the architecture and engineering of real world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise grade reliability. You will design and build AI agent architectures - including multi agent orchestration, tool use, skills use, and memory systems - and work hands on with foundation models through fine tuning, retrieval augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice - connecting enterprise knowledge bases, structured and unstructured data sources, and domain specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components - building, integrating, and testing AI system modules as a practitioner - alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real world problems, and build a foundation for growing into a lead or principal architect over time. THE WORK Independently design, build, and deliver software components across the AI architecture - owning them end to end from design through implementation, integration, and testing as a hands on practitioner Design and build AI agent architectures - including individual agents, their prompts, tools, and skills, multi agent orchestration, and memory systems - making deliberate design pattern and technology choices Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands on prototyping Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise grade reliability Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements Architect and implement foundation model integrations - selecting the right models, invocation patterns, and customization approaches (fine tuning, RAG, custom integration) based on capability, cost, and performance trade offs Design and build model adaptation and fine tuning pipelines, applying working knowledge of transformer based architectures to inform model selection and optimization Design and build the AI context layer - including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end to end RAG pipelines, applying integration patterns that connect to enterprise data sources Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements Design for cost efficiency and performance - optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives Design, build, and validate systems against enterprise non functional requirements - implementing guardrails, prompt injection defenses, PII handling, and access controls for security and Responsible AI Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable Build observability into systems - logging, tracing, monitoring, alerting, and cost tracking - to ensure AI solutions remain healthy, performant, and scalable in production Produce detailed architecture artifacts - including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams - that guide and enable broader engineering teams Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast evolving AI landscape, balancing innovation with enterprise grade reliability Collaborate with cross functional delivery teams - data engineers, ML engineers, and application developers - to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning large scale analytical engineering solutions.
27/07/2026
Full time
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist Location: London YOU ARE As a hands on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands on role - you will spend the majority of your time in the architecture and engineering of real world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise grade reliability. You will design and build AI agent architectures - including multi agent orchestration, tool use, skills use, and memory systems - and work hands on with foundation models through fine tuning, retrieval augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice - connecting enterprise knowledge bases, structured and unstructured data sources, and domain specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components - building, integrating, and testing AI system modules as a practitioner - alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real world problems, and build a foundation for growing into a lead or principal architect over time. THE WORK Independently design, build, and deliver software components across the AI architecture - owning them end to end from design through implementation, integration, and testing as a hands on practitioner Design and build AI agent architectures - including individual agents, their prompts, tools, and skills, multi agent orchestration, and memory systems - making deliberate design pattern and technology choices Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands on prototyping Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise grade reliability Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements Architect and implement foundation model integrations - selecting the right models, invocation patterns, and customization approaches (fine tuning, RAG, custom integration) based on capability, cost, and performance trade offs Design and build model adaptation and fine tuning pipelines, applying working knowledge of transformer based architectures to inform model selection and optimization Design and build the AI context layer - including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end to end RAG pipelines, applying integration patterns that connect to enterprise data sources Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements Design for cost efficiency and performance - optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives Design, build, and validate systems against enterprise non functional requirements - implementing guardrails, prompt injection defenses, PII handling, and access controls for security and Responsible AI Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable Build observability into systems - logging, tracing, monitoring, alerting, and cost tracking - to ensure AI solutions remain healthy, performant, and scalable in production Produce detailed architecture artifacts - including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams - that guide and enable broader engineering teams Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast evolving AI landscape, balancing innovation with enterprise grade reliability Collaborate with cross functional delivery teams - data engineers, ML engineers, and application developers - to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning large scale analytical engineering solutions.
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Certified from FinOps.org, FinOps for DC knowledge, DCIM, CMDB / asset DB, hypervisor metrics, power monitoring, contracts & licenses management Role Description Skills: ROLE PURPOSE Own the end-to-end FinOps strategy and architecture for the organisation's on-premises estate, following the FinOps Foundation (FinOps.org) framework across the Inform, Optimise, and Operate lifecycle phases. Define the cost visibility strategy, establish the data model and governance framework, lead maturity assessments, and architect the reporting and dashboard ecosystem. Serve as the primary FinOps authority, engaging all FinOps personas - from executives and finance through engineering and operations - to build a culture of cost accountability and data-driven infrastructure economics. This role bridges the gap between financial management and engineering, translating on-premises infrastructure complexity into clear cost models, unit economics, and actionable savings roadmaps. FINOPS SCOPE OF WORK This role directly contributes to the following FinOps programme workstreams, aligned to FinOps.org's Inform, Optimise, and Operate lifecycle: Cost Visibility - Gain full visibility of on-premises infrastructure, licensing, and operational costs by establishing comprehensive data collection and integration from identified sources Data Source Identification & Setup - Identify, agree upon, and integrate all relevant cost data sources including CMDB, asset management, licensing portals, procurement systems, and infrastructure monitoring tools FinOps Maturity Baselining - Assess current FinOps maturity against the FinOps.org maturity model (Crawl -> Walk -> Run), identifying gaps and opportunities across tagging, savings, and cost governance Tagging & Allocation Gaps - Identify and remediate gaps in cost allocation, tagging, and labelling across on-premises assets to enable accurate chargeback, showback, and cost attribution Savings Identification - Discover potential savings opportunities through licence optimisation, hardware rightsizing, capacity rebalancing, decommissioning, and vendor renegotiation Cost Governance Gaps - Assess and strengthen cost governance processes including approval workflows, budget controls, anomaly detection, and policy enforcement Data Normalisation - Normalise cost data from disparate sources into a unified cost model, enabling consistent reporting across business units, environments, and service categories Usage, Pattern & Licence Analysis - Analyse infrastructure utilisation patterns, workload distribution, peak/off-peak trends, and software licence usage to identify waste and optimisation opportunities Cost Modelling & Economics - Define unit economics, cost-per-service models, TCO calculations, and amortisation schedules for on-premises infrastructure to enable informed decision-making Implementation Roadmap - Develop a prioritised roadmap of quick-wins (0-3 months), mid-term initiatives (3-6 months), and long-term transformations (6-12 months) based on value and feasibility Reporting & Dashboards - Design and recommend live/near-real-time cost dashboards with drill-down capabilities, trend analysis, anomaly alerts, and executive reporting views FINOPS PERSONA COLLABORATION As defined by FinOps.org, this role works with all key FinOps personas: Executives (CTO, CFO, CIO) - Present cost visibility dashboards, business cases for optimisation, and FinOps maturity roadmaps to drive strategic investment decisions Finance / Procurement - Collaborate on cost allocation models, chargeback/showback mechanisms, budgeting, forecasting, and vendor contract analysis for on-premises licensing Engineering / DevOps Teams - Partner on tagging strategies, resource utilisation analysis, rightsizing recommendations, and embedding cost-awareness into engineering culture Product Owners / Business Units - Provide unit economics and cost-per-service metrics to inform product decisions, capacity planning, and build-vs-buy analysis IT Operations / Infrastructure - Work on data source integration, asset management, capacity utilisation, and hardware lifecycle cost modelling Architecture & Governance - Align FinOps governance policies, cost guardrails, and architectural decisions with total cost of ownership (TCO) analysis Security & Compliance - Ensure cost data handling meets compliance requirements and that FinOps tooling adheres to organisational security policies KEY RESPONSIBILITIES Define and own the on-premises FinOps strategy, architecture, and maturity roadmap aligned to the FinOps.org Inform -> Optimise -> Operate lifecycle Lead the FinOps maturity assessment (Crawl/Walk/Run) across tagging, savings identification, and cost governance - produce a baseline scorecard with prioritised improvement actions Architect the cost data model: identify and integrate all data sources (CMDB, asset management, procurement, licensing, monitoring), define normalisation rules, and establish the single source of truth for on-premises cost data Design cost allocation frameworks: define chargeback/showback models, tagging taxonomies, and cost attribution rules that enable accurate cost-per-business-unit, cost-per-service, and cost-per-environment reporting Develop unit economics and cost modelling: build TCO models, amortisation schedules, build-vs-buy comparisons, and cost-per-transaction metrics for on-premises infrastructure Lead savings discovery workshops across all FinOps personas: licence optimisation (true-ups, shelfware, harvesting), hardware rightsizing, capacity rebalancing, and decommissioning opportunities Architect the FinOps reporting and dashboard ecosystem: define requirements for live/near-real-time dashboards with executive views, drill-down capabilities, trend analysis, anomaly detection, and budget variance alerts Establish FinOps governance framework: cost approval policies, budget guardrails, anomaly response procedures, and regular cost review cadences with all persona groups Create the prioritised FinOps implementation roadmap: quick-wins (0-3 months), mid-term initiatives (3-6 months), and long-term transformation (6-12 months) based on value, feasibility, and stakeholder alignment Mentor and lead the FinOps engineering team (1 onshore + 1 offshore), establish engineering standards, and drive a culture of cost transparency and accountability across the organisation Present FinOps insights, savings opportunities, and governance reports to executive stakeholders (CTO, CFO, CIO) and lead regular FinOps review forums Stay current with FinOps.org framework evolution, contribute to the FinOps community of practice, and continuously refine methodologies for on-premises environments TECHNICAL SKILLS & EXPERTISE Deep expertise in on-premises infrastructure economics: server, storage, network, licensing (Microsoft EA, Oracle, VMware, Red Hat), data centre costs (power, cooling, space), and depreciation/amortisation models Strong understanding of the FinOps.org framework: Inform, Optimise, Operate lifecycle; FinOps Domains (Cost Allocation, Anomaly Management, Rate Optimisation, Usage Optimisation, etc.); FinOps maturity model (Crawl/Walk/Run) Experience with cost data integration from: CMDB (ServiceNow), asset management tools, procurement platforms, licence management tools (Snow, Flexera), and infrastructure monitoring (Datadog, Dynatrace, SolarWinds) Data modelling and analytics: SQL, Python/Pandas for cost data analysis; experience building normalisation pipelines and cost allocation engines Dashboard and reporting tools: Power BI, Tableau, Grafana, or custom BI solutions for real-time cost visibility and executive dashboards Understanding of ITIL asset and configuration management, hardware lifecycle management, and capacity planning methodologies Familiarity with FinOps tooling: Apptio, CloudHealth/VMware Aria, Flexera One, ServiceNow ITOM/ITFM, or custom-built cost management platforms Knowledge of hybrid/multi-cloud cost management to bridge on-premises FinOps with cloud FinOps practices where applicable SOFT SKILLS & COMPETENCIES Exceptional stakeholder management - able to influence executives, finance, engineering, and operations teams with equal credibility Strategic thinker who translates complex cost data into clear business narratives and actionable recommendations Strong leadership and mentoring ability - coaches and develops FinOps engineers and builds a cost-aware engineering culture Excellent presentation and communication skills - comfortable presenting to C-level audiences and leading governance forums Commercial acumen - understands P&L, depreciation, amortisation, OpEx/CapEx distinctions, and vendor contract structures . click apply for full job details
27/07/2026
Full time
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Certified from FinOps.org, FinOps for DC knowledge, DCIM, CMDB / asset DB, hypervisor metrics, power monitoring, contracts & licenses management Role Description Skills: ROLE PURPOSE Own the end-to-end FinOps strategy and architecture for the organisation's on-premises estate, following the FinOps Foundation (FinOps.org) framework across the Inform, Optimise, and Operate lifecycle phases. Define the cost visibility strategy, establish the data model and governance framework, lead maturity assessments, and architect the reporting and dashboard ecosystem. Serve as the primary FinOps authority, engaging all FinOps personas - from executives and finance through engineering and operations - to build a culture of cost accountability and data-driven infrastructure economics. This role bridges the gap between financial management and engineering, translating on-premises infrastructure complexity into clear cost models, unit economics, and actionable savings roadmaps. FINOPS SCOPE OF WORK This role directly contributes to the following FinOps programme workstreams, aligned to FinOps.org's Inform, Optimise, and Operate lifecycle: Cost Visibility - Gain full visibility of on-premises infrastructure, licensing, and operational costs by establishing comprehensive data collection and integration from identified sources Data Source Identification & Setup - Identify, agree upon, and integrate all relevant cost data sources including CMDB, asset management, licensing portals, procurement systems, and infrastructure monitoring tools FinOps Maturity Baselining - Assess current FinOps maturity against the FinOps.org maturity model (Crawl -> Walk -> Run), identifying gaps and opportunities across tagging, savings, and cost governance Tagging & Allocation Gaps - Identify and remediate gaps in cost allocation, tagging, and labelling across on-premises assets to enable accurate chargeback, showback, and cost attribution Savings Identification - Discover potential savings opportunities through licence optimisation, hardware rightsizing, capacity rebalancing, decommissioning, and vendor renegotiation Cost Governance Gaps - Assess and strengthen cost governance processes including approval workflows, budget controls, anomaly detection, and policy enforcement Data Normalisation - Normalise cost data from disparate sources into a unified cost model, enabling consistent reporting across business units, environments, and service categories Usage, Pattern & Licence Analysis - Analyse infrastructure utilisation patterns, workload distribution, peak/off-peak trends, and software licence usage to identify waste and optimisation opportunities Cost Modelling & Economics - Define unit economics, cost-per-service models, TCO calculations, and amortisation schedules for on-premises infrastructure to enable informed decision-making Implementation Roadmap - Develop a prioritised roadmap of quick-wins (0-3 months), mid-term initiatives (3-6 months), and long-term transformations (6-12 months) based on value and feasibility Reporting & Dashboards - Design and recommend live/near-real-time cost dashboards with drill-down capabilities, trend analysis, anomaly alerts, and executive reporting views FINOPS PERSONA COLLABORATION As defined by FinOps.org, this role works with all key FinOps personas: Executives (CTO, CFO, CIO) - Present cost visibility dashboards, business cases for optimisation, and FinOps maturity roadmaps to drive strategic investment decisions Finance / Procurement - Collaborate on cost allocation models, chargeback/showback mechanisms, budgeting, forecasting, and vendor contract analysis for on-premises licensing Engineering / DevOps Teams - Partner on tagging strategies, resource utilisation analysis, rightsizing recommendations, and embedding cost-awareness into engineering culture Product Owners / Business Units - Provide unit economics and cost-per-service metrics to inform product decisions, capacity planning, and build-vs-buy analysis IT Operations / Infrastructure - Work on data source integration, asset management, capacity utilisation, and hardware lifecycle cost modelling Architecture & Governance - Align FinOps governance policies, cost guardrails, and architectural decisions with total cost of ownership (TCO) analysis Security & Compliance - Ensure cost data handling meets compliance requirements and that FinOps tooling adheres to organisational security policies KEY RESPONSIBILITIES Define and own the on-premises FinOps strategy, architecture, and maturity roadmap aligned to the FinOps.org Inform -> Optimise -> Operate lifecycle Lead the FinOps maturity assessment (Crawl/Walk/Run) across tagging, savings identification, and cost governance - produce a baseline scorecard with prioritised improvement actions Architect the cost data model: identify and integrate all data sources (CMDB, asset management, procurement, licensing, monitoring), define normalisation rules, and establish the single source of truth for on-premises cost data Design cost allocation frameworks: define chargeback/showback models, tagging taxonomies, and cost attribution rules that enable accurate cost-per-business-unit, cost-per-service, and cost-per-environment reporting Develop unit economics and cost modelling: build TCO models, amortisation schedules, build-vs-buy comparisons, and cost-per-transaction metrics for on-premises infrastructure Lead savings discovery workshops across all FinOps personas: licence optimisation (true-ups, shelfware, harvesting), hardware rightsizing, capacity rebalancing, and decommissioning opportunities Architect the FinOps reporting and dashboard ecosystem: define requirements for live/near-real-time dashboards with executive views, drill-down capabilities, trend analysis, anomaly detection, and budget variance alerts Establish FinOps governance framework: cost approval policies, budget guardrails, anomaly response procedures, and regular cost review cadences with all persona groups Create the prioritised FinOps implementation roadmap: quick-wins (0-3 months), mid-term initiatives (3-6 months), and long-term transformation (6-12 months) based on value, feasibility, and stakeholder alignment Mentor and lead the FinOps engineering team (1 onshore + 1 offshore), establish engineering standards, and drive a culture of cost transparency and accountability across the organisation Present FinOps insights, savings opportunities, and governance reports to executive stakeholders (CTO, CFO, CIO) and lead regular FinOps review forums Stay current with FinOps.org framework evolution, contribute to the FinOps community of practice, and continuously refine methodologies for on-premises environments TECHNICAL SKILLS & EXPERTISE Deep expertise in on-premises infrastructure economics: server, storage, network, licensing (Microsoft EA, Oracle, VMware, Red Hat), data centre costs (power, cooling, space), and depreciation/amortisation models Strong understanding of the FinOps.org framework: Inform, Optimise, Operate lifecycle; FinOps Domains (Cost Allocation, Anomaly Management, Rate Optimisation, Usage Optimisation, etc.); FinOps maturity model (Crawl/Walk/Run) Experience with cost data integration from: CMDB (ServiceNow), asset management tools, procurement platforms, licence management tools (Snow, Flexera), and infrastructure monitoring (Datadog, Dynatrace, SolarWinds) Data modelling and analytics: SQL, Python/Pandas for cost data analysis; experience building normalisation pipelines and cost allocation engines Dashboard and reporting tools: Power BI, Tableau, Grafana, or custom BI solutions for real-time cost visibility and executive dashboards Understanding of ITIL asset and configuration management, hardware lifecycle management, and capacity planning methodologies Familiarity with FinOps tooling: Apptio, CloudHealth/VMware Aria, Flexera One, ServiceNow ITOM/ITFM, or custom-built cost management platforms Knowledge of hybrid/multi-cloud cost management to bridge on-premises FinOps with cloud FinOps practices where applicable SOFT SKILLS & COMPETENCIES Exceptional stakeholder management - able to influence executives, finance, engineering, and operations teams with equal credibility Strategic thinker who translates complex cost data into clear business narratives and actionable recommendations Strong leadership and mentoring ability - coaches and develops FinOps engineers and builds a cost-aware engineering culture Excellent presentation and communication skills - comfortable presenting to C-level audiences and leading governance forums Commercial acumen - understands P&L, depreciation, amortisation, OpEx/CapEx distinctions, and vendor contract structures . click apply for full job details
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.
White Collar Factory (95009), United Kingdom, London, London Lead Android Engineer Job Title: Lead Android Engineer Location: London - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. You and the Role Working in and across tech teams is a natural part of our outcome-based culture, so you'll have plenty of opportunity to talk, coach and learn with many great and diverse individuals. As part of our mobile platform engineering team, you will set the pace for multiple mobile engineering teams and take ownership of the fully native mobile apps that our customers love. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies. Kotlin and Java , for writing well-factored, well-tested code in both the Android app and backend orchestration services Android Toolset , including Android Studio, to leverage the Android platform on a large enterprise scale Testing Frameworks , using JUnit, Espresso, and advocating for approaches like Pair Programming, TDD, and BDD AWS , utilizing cloud opportunities to maximize inner-sourcing and continuous improvement And meet most of the following: You are passionate about creating products that produce good customer outcomes You enjoy leading a team of technologists, alongside product, design and other disciplines You want to design new product iterations, thinking strategically about architectural decisions and can communicate to stakeholders You act as a technical evangelist, evaluating technical risks while coaching and mentoring more junior engineers You appreciate the sensitivity of our customer data and the resiliency, performance and security that demands You enjoy automation (unified deployment pipelines, automated testing) and aspire to 'automate all but the creative problem solving' You want to develop yourself, with access to various support systems (learning, mentorship, conferences, progression) You enjoy hybrid working, with Tuesday, Wednesday and Thursday in our bright offices Where and how you'll work This is a permanent position based in our London office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday - Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here. 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 value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates 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 Lead Android Engineer Job Title: Lead Android Engineer Location: London - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. You and the Role Working in and across tech teams is a natural part of our outcome-based culture, so you'll have plenty of opportunity to talk, coach and learn with many great and diverse individuals. As part of our mobile platform engineering team, you will set the pace for multiple mobile engineering teams and take ownership of the fully native mobile apps that our customers love. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies. Kotlin and Java , for writing well-factored, well-tested code in both the Android app and backend orchestration services Android Toolset , including Android Studio, to leverage the Android platform on a large enterprise scale Testing Frameworks , using JUnit, Espresso, and advocating for approaches like Pair Programming, TDD, and BDD AWS , utilizing cloud opportunities to maximize inner-sourcing and continuous improvement And meet most of the following: You are passionate about creating products that produce good customer outcomes You enjoy leading a team of technologists, alongside product, design and other disciplines You want to design new product iterations, thinking strategically about architectural decisions and can communicate to stakeholders You act as a technical evangelist, evaluating technical risks while coaching and mentoring more junior engineers You appreciate the sensitivity of our customer data and the resiliency, performance and security that demands You enjoy automation (unified deployment pipelines, automated testing) and aspire to 'automate all but the creative problem solving' You want to develop yourself, with access to various support systems (learning, mentorship, conferences, progression) You enjoy hybrid working, with Tuesday, Wednesday and Thursday in our bright offices Where and how you'll work This is a permanent position based in our London office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday - Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here. 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 value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates 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.
Principal Software Engineer - Simple Machines Hybrid Full-time London, UK About Simple Machines Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering-building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises, technology companies, and governments to help them better understand their organisations, customers, and citizens. Our teams design and build large-scale data platforms, intelligent systems, and high-impact software products. We engineer data to life . The Role As aPrincipal Software Engineer, you'll play a key role in delivering complex, scalable systems for ambitious clients. This is a hands-on engineering role where you'll work across the full stack-backend services, APIs, frontend components, data pipelines, and cloud infrastructure. You'll collaborate closely with our internal engineering teams and client stakeholders, influencing technical direction while remaining deeply involved in design and delivery. This role suits someone who enjoys solving hard problems, owning outcomes end-to-end, and operating in a consultative engineering environment. What You'll Be Doing Design and build backend services for a highly scalable marketing platform Own the design of APIs, applications, and supporting infrastructure Document technical designs and requirements clearly for both internal teams and clients Deliver solutions end-to-end: build, automate, deploy, operate, and support Partner with clients and delivery teams to translate business requirements into robust technical solutions Work within an Agile, iterative delivery model Collaborate in a hybrid setup with both remote and in-person team members and stakeholders The Team You'll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across the full stack, support one another's growth, and collaborate closely with data scientists and adjacent teams to design cross-system solutions. Strong engineering culture, real influence, and meaningful problems to solve. What We're Looking For Core Experience Strong foundation in JVM-based development (Kotlin preferred, Java welcome) Experience designing and implementing data-driven APIs Background working on large-scale web services Solid SQL experience, including schema design and performance-aware queries Deep experience with automated testing (unit, integration; TDD/BDD preferred) Frontend & Full Stack Exposure Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks) Cloud & Infrastructure Experience with AWS, GCP, Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong Git workflow experience and the ability to adapt workflows to project needs A genuine appetite for learning and adopting new technologies quickly
27/07/2026
Full time
Principal Software Engineer - Simple Machines Hybrid Full-time London, UK About Simple Machines Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering-building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises, technology companies, and governments to help them better understand their organisations, customers, and citizens. Our teams design and build large-scale data platforms, intelligent systems, and high-impact software products. We engineer data to life . The Role As aPrincipal Software Engineer, you'll play a key role in delivering complex, scalable systems for ambitious clients. This is a hands-on engineering role where you'll work across the full stack-backend services, APIs, frontend components, data pipelines, and cloud infrastructure. You'll collaborate closely with our internal engineering teams and client stakeholders, influencing technical direction while remaining deeply involved in design and delivery. This role suits someone who enjoys solving hard problems, owning outcomes end-to-end, and operating in a consultative engineering environment. What You'll Be Doing Design and build backend services for a highly scalable marketing platform Own the design of APIs, applications, and supporting infrastructure Document technical designs and requirements clearly for both internal teams and clients Deliver solutions end-to-end: build, automate, deploy, operate, and support Partner with clients and delivery teams to translate business requirements into robust technical solutions Work within an Agile, iterative delivery model Collaborate in a hybrid setup with both remote and in-person team members and stakeholders The Team You'll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across the full stack, support one another's growth, and collaborate closely with data scientists and adjacent teams to design cross-system solutions. Strong engineering culture, real influence, and meaningful problems to solve. What We're Looking For Core Experience Strong foundation in JVM-based development (Kotlin preferred, Java welcome) Experience designing and implementing data-driven APIs Background working on large-scale web services Solid SQL experience, including schema design and performance-aware queries Deep experience with automated testing (unit, integration; TDD/BDD preferred) Frontend & Full Stack Exposure Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks) Cloud & Infrastructure Experience with AWS, GCP, Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong Git workflow experience and the ability to adapt workflows to project needs A genuine appetite for learning and adopting new technologies quickly
