GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Mar 14, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Mar 14, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Mar 12, 2026
Full time
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions Contribute to internal initiatives such as; blogs, technical forums Requirements (These are not ) Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Mar 12, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions Contribute to internal initiatives such as; blogs, technical forums Requirements (These are not ) Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Role Overview We are seeking an experienced Senior Cloud Engineer with deep expertise in cloud-native platforms, Kubernetes, and DevOps engineering . In this role, you will contribute to building and operating a strategic platform on Google Cloud Platform (GCP) that supports next-generation digital services aligned with the organization's long-term technology vision. The ideal candidate will have strong experience in GCP infrastructure, Kubernetes operations, service mesh technologies, CI/CD automation, and infrastructure as code , along with a strong Site Reliability Engineering (SRE) mindset focused on reliability, scalability, and security . Key Responsibilities Cloud Platform Engineering Architect, implement, and maintain highly resilient, scalable, and secure Kubernetes environments on GCP . Engineer and optimize Kubernetes infrastructure supporting multi-tenant workloads . Ensure strong resource isolation, operational scalability, and high availability across cloud environments. Kubernetes & Service Mesh Manage and operate production-grade Kubernetes clusters . Implement service mesh technologies such as Istio or Anthos for secure service-to-service communication. Configure Istio telemetry, sidecar injection, and mTLS enforcement . Security & Governance Implement strong security controls including: OPA Gatekeeper policies Fine-grained RBAC mTLS encryption Secure service mesh configurations Apply least-privilege access principles and cloud security best practices . CI/CD & Automation Build and maintain CI/CD pipelines enabling automated build, testing, and deployment. Implement Infrastructure as Code (IaC) using Terraform . Automate platform provisioning and configuration using modern DevOps practices. Observability & Performance Implement observability frameworks using tools such as: Prometheus Dynatrace OpenTelemetry Diagnose and resolve complex performance, networking, and automation issues . Optimize system performance and ensure platform reliability. Collaboration Work closely with engineering, architecture, and DevOps teams to deliver cloud-native solutions . Support the full lifecycle management of cloud-native services . Contribute to engineering best practices and continuous improvement initiatives .
Mar 11, 2026
Contractor
Role Overview We are seeking an experienced Senior Cloud Engineer with deep expertise in cloud-native platforms, Kubernetes, and DevOps engineering . In this role, you will contribute to building and operating a strategic platform on Google Cloud Platform (GCP) that supports next-generation digital services aligned with the organization's long-term technology vision. The ideal candidate will have strong experience in GCP infrastructure, Kubernetes operations, service mesh technologies, CI/CD automation, and infrastructure as code , along with a strong Site Reliability Engineering (SRE) mindset focused on reliability, scalability, and security . Key Responsibilities Cloud Platform Engineering Architect, implement, and maintain highly resilient, scalable, and secure Kubernetes environments on GCP . Engineer and optimize Kubernetes infrastructure supporting multi-tenant workloads . Ensure strong resource isolation, operational scalability, and high availability across cloud environments. Kubernetes & Service Mesh Manage and operate production-grade Kubernetes clusters . Implement service mesh technologies such as Istio or Anthos for secure service-to-service communication. Configure Istio telemetry, sidecar injection, and mTLS enforcement . Security & Governance Implement strong security controls including: OPA Gatekeeper policies Fine-grained RBAC mTLS encryption Secure service mesh configurations Apply least-privilege access principles and cloud security best practices . CI/CD & Automation Build and maintain CI/CD pipelines enabling automated build, testing, and deployment. Implement Infrastructure as Code (IaC) using Terraform . Automate platform provisioning and configuration using modern DevOps practices. Observability & Performance Implement observability frameworks using tools such as: Prometheus Dynatrace OpenTelemetry Diagnose and resolve complex performance, networking, and automation issues . Optimize system performance and ensure platform reliability. Collaboration Work closely with engineering, architecture, and DevOps teams to deliver cloud-native solutions . Support the full lifecycle management of cloud-native services . Contribute to engineering best practices and continuous improvement initiatives .
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
Mar 11, 2026
Full time
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
Role Overview We are seeking a skilled Cloud Platform Engineer / Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and automated cloud platform capabilities. The ideal candidate will have strong experience in Infrastructure as Code, Kubernetes, API management, and cloud networking , along with a strong DevOps and SRE mindset focused on reliability, automation, and observability . Key Responsibilities Cloud Platform Engineering Design, build, and maintain secure and automated cloud platform capabilities on Google Cloud Platform (GCP) . Support API Management platforms and integration services across the organization. Develop and maintain cloud infrastructure architectures aligned with platform engineering best practices . Infrastructure as Code & Automation Develop and manage Terraform-based Infrastructure as Code (IaC) solutions. Implement automation for provisioning, configuration, and lifecycle management of cloud resources . Maintain and enhance CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Harness . API Management & Integration Support and manage GCP API Management infrastructure (Apigee) . Implement API Gateway solutions and integration platform capabilities. Ensure secure API design using REST/OpenAPI standards, OAuth, mTLS, and certificate lifecycle management . Containers & Kubernetes Design and manage containerized workloads using Google Kubernetes Engine (GKE) . Implement container orchestration, scaling, and service mesh technologies such as Istio . Networking & Security Implement and manage GCP networking components , including: Load Balancers Cloud Armor Secure networking configurations Ensure security-by-design principles across the platform lifecycle. Observability & Reliability Implement SLO/SLI frameworks and observability solutions to ensure platform reliability. Configure monitoring tools such as Dynatrace or other observability platforms . Optimize system performance and reduce operational overhead through automation. Collaboration & Platform Enablement Work closely with architecture, DevOps, and development teams to evolve the cloud platform. Enable teams to deliver API-first services using reusable platform capabilities . Contribute to documentation, knowledge sharing, and platform best practices . Mentor team members and contribute to engineering standards and communities of practice .
Mar 10, 2026
Contractor
Role Overview We are seeking a skilled Cloud Platform Engineer / Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and automated cloud platform capabilities. The ideal candidate will have strong experience in Infrastructure as Code, Kubernetes, API management, and cloud networking , along with a strong DevOps and SRE mindset focused on reliability, automation, and observability . Key Responsibilities Cloud Platform Engineering Design, build, and maintain secure and automated cloud platform capabilities on Google Cloud Platform (GCP) . Support API Management platforms and integration services across the organization. Develop and maintain cloud infrastructure architectures aligned with platform engineering best practices . Infrastructure as Code & Automation Develop and manage Terraform-based Infrastructure as Code (IaC) solutions. Implement automation for provisioning, configuration, and lifecycle management of cloud resources . Maintain and enhance CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Harness . API Management & Integration Support and manage GCP API Management infrastructure (Apigee) . Implement API Gateway solutions and integration platform capabilities. Ensure secure API design using REST/OpenAPI standards, OAuth, mTLS, and certificate lifecycle management . Containers & Kubernetes Design and manage containerized workloads using Google Kubernetes Engine (GKE) . Implement container orchestration, scaling, and service mesh technologies such as Istio . Networking & Security Implement and manage GCP networking components , including: Load Balancers Cloud Armor Secure networking configurations Ensure security-by-design principles across the platform lifecycle. Observability & Reliability Implement SLO/SLI frameworks and observability solutions to ensure platform reliability. Configure monitoring tools such as Dynatrace or other observability platforms . Optimize system performance and reduce operational overhead through automation. Collaboration & Platform Enablement Work closely with architecture, DevOps, and development teams to evolve the cloud platform. Enable teams to deliver API-first services using reusable platform capabilities . Contribute to documentation, knowledge sharing, and platform best practices . Mentor team members and contribute to engineering standards and communities of practice .
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Mar 10, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Mar 10, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Mar 09, 2026
Full time
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Mar 08, 2026
Full time
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Presales AI Architect Salary: Up to £120,000 + Bonus + Benefits Location: Central London - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time A globally established organisation is seeking a Presales AI Architect to drive AI and Generative AI growth across strategic enterprise accounts within the Telecom, Media and Information Services sector. This is a senior client-facing role focused on shaping AI opportunities, defining solution architectures and supporting complex enterprise sales pursuits. The position is suited to an experienced AI strategist who combines strong presales capability with deep understanding of modern AI technologies including Generative AI, large language models and emerging agent-based systems. Responsibilities for the Presales AI Architect: Drive AI and Generative AI pipeline development across key UK and European enterprise accounts Partner with sales leaders and account teams to identify and qualify AI transformation opportunities Act as a trusted advisor to senior customer stakeholders, shaping AI strategy and enterprise roadmaps Lead AI solutioning across proposals, RFP responses and strategic bids Translate business challenges into scalable AI and GenAI architectures aligned to enterprise objectives Support the creation of proof-of-concepts, pilots and MVPs that demonstrate measurable business value Articulate AI value propositions including ROI modelling and outcome-based transformation strategies Provide architectural oversight during delivery phases to ensure alignment between solution design and implementation Work with hyperscaler and ecosystem partners to accelerate joint AI go-to-market initiatives Essential Skills for the Presales AI Architect: Proven experience driving AI or Generative AI presales engagements within enterprise or consulting environments Strong capability in value-based solutioning including business case development and ROI modelling Experience shaping GenAI, LLM and agentic AI solutions on major cloud platforms such as AWS, Azure or GCP Strong understanding of enterprise AI architecture patterns and solution design Experience supporting complex enterprise procurement processes including RFPs and large-scale bids Ability to engage credibly with C-level stakeholders including CIOs, CTOs and digital transformation leaders Strong understanding of responsible AI, governance, security and enterprise adoption considerations Experience working within matrixed organisations across sales, delivery and partner teams Desirable Skills for the Presales AI Architect: Experience delivering AI transformation programmes within Telecom, Media or Information Services sectors Experience shaping large-scale multi-year AI transformation strategies Previous accountability for AI pipeline growth, sales targets or portfolio expansion If you are an experienced AI Architect with strong presales expertise looking to shape enterprise AI strategies and drive large-scale transformation initiatives, please apply in the immediate instance.
Mar 07, 2026
Full time
Presales AI Architect Salary: Up to £120,000 + Bonus + Benefits Location: Central London - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time A globally established organisation is seeking a Presales AI Architect to drive AI and Generative AI growth across strategic enterprise accounts within the Telecom, Media and Information Services sector. This is a senior client-facing role focused on shaping AI opportunities, defining solution architectures and supporting complex enterprise sales pursuits. The position is suited to an experienced AI strategist who combines strong presales capability with deep understanding of modern AI technologies including Generative AI, large language models and emerging agent-based systems. Responsibilities for the Presales AI Architect: Drive AI and Generative AI pipeline development across key UK and European enterprise accounts Partner with sales leaders and account teams to identify and qualify AI transformation opportunities Act as a trusted advisor to senior customer stakeholders, shaping AI strategy and enterprise roadmaps Lead AI solutioning across proposals, RFP responses and strategic bids Translate business challenges into scalable AI and GenAI architectures aligned to enterprise objectives Support the creation of proof-of-concepts, pilots and MVPs that demonstrate measurable business value Articulate AI value propositions including ROI modelling and outcome-based transformation strategies Provide architectural oversight during delivery phases to ensure alignment between solution design and implementation Work with hyperscaler and ecosystem partners to accelerate joint AI go-to-market initiatives Essential Skills for the Presales AI Architect: Proven experience driving AI or Generative AI presales engagements within enterprise or consulting environments Strong capability in value-based solutioning including business case development and ROI modelling Experience shaping GenAI, LLM and agentic AI solutions on major cloud platforms such as AWS, Azure or GCP Strong understanding of enterprise AI architecture patterns and solution design Experience supporting complex enterprise procurement processes including RFPs and large-scale bids Ability to engage credibly with C-level stakeholders including CIOs, CTOs and digital transformation leaders Strong understanding of responsible AI, governance, security and enterprise adoption considerations Experience working within matrixed organisations across sales, delivery and partner teams Desirable Skills for the Presales AI Architect: Experience delivering AI transformation programmes within Telecom, Media or Information Services sectors Experience shaping large-scale multi-year AI transformation strategies Previous accountability for AI pipeline growth, sales targets or portfolio expansion If you are an experienced AI Architect with strong presales expertise looking to shape enterprise AI strategies and drive large-scale transformation initiatives, please apply in the immediate instance.
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground breaking, ultra secure, high performance, cloud based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a 'One to Watch' on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. As Managing Architect, you will be passionate about digital, data and technology led transformation, unlocking innovation for our clients, and providing leadership throughout the client engagements. The applicant who possesses knowledge and experience of Public Sector (Central Government) and understands their governance and security processes, preferably across multiple government departments, is strongly preferred. A UK Government Security Check (SC) clearance is required for this role. If you don't hold SC clearance, we will support you to apply assuming you have lived and worked in the UK for a minimum of 5 years. Due to the nature of the projects, British citizenship is required. Duties & Responsibilities Aker Managing Architect is primarily a client delivery, management, and growth role, expected to be 90% or more of the time across one or more client assignments. Technical Leadership: Part of the client leadership team as the Client CTO for assigned projects/services, supporting the Client Delivery Director, Client Account Director and the delivery team to ensure we deliver against all client deliverables and payment milestones. Lead Architect: Lead solution, data, cloud, service and security architects/engineers during design and delivery projects and services, and responsible for delivering design documents and other key artefacts to support governance and delivery. Senior Influencer: Need to be a leader and able to influence through excellent communication skills. You will relish collaboration and embrace challenges. You will understand the nuances of business and be driven to find new solutions for our clients' biggest problems. Team Focused: Expected to build effective working relationships with delivery team members and Aker customers and operate without supervision as the technical lead across multiple projects and platforms and mentoring less experienced client team members as required. Capability and Growth: Aker is a fast growing business, so for any remaining % of time when not on client work, it is contributing to the future success of Aker by helping develop capabilities and supporting the other functions such as Sales and Product, and always looking to help grow existing accounts. Essential Experience and Competencies The successful candidate will need to have experience as a lead or managing architect across these core areas: Delivery - designing, delivering platforms and managed services at enterprise scale, specifically bespoke software solutions, particularly in streaming and cloud native solutions. Data Platforms - designing modern data platforms with appropriate architecture covering Data Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber security specialists. The successful candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi disciplined team and clearly communicating complex technology solutions to technical and non technical people Experience designing event processing and async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure as Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equality, Diversity & Inclusion Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.
Mar 06, 2026
Full time
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground breaking, ultra secure, high performance, cloud based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a 'One to Watch' on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. As Managing Architect, you will be passionate about digital, data and technology led transformation, unlocking innovation for our clients, and providing leadership throughout the client engagements. The applicant who possesses knowledge and experience of Public Sector (Central Government) and understands their governance and security processes, preferably across multiple government departments, is strongly preferred. A UK Government Security Check (SC) clearance is required for this role. If you don't hold SC clearance, we will support you to apply assuming you have lived and worked in the UK for a minimum of 5 years. Due to the nature of the projects, British citizenship is required. Duties & Responsibilities Aker Managing Architect is primarily a client delivery, management, and growth role, expected to be 90% or more of the time across one or more client assignments. Technical Leadership: Part of the client leadership team as the Client CTO for assigned projects/services, supporting the Client Delivery Director, Client Account Director and the delivery team to ensure we deliver against all client deliverables and payment milestones. Lead Architect: Lead solution, data, cloud, service and security architects/engineers during design and delivery projects and services, and responsible for delivering design documents and other key artefacts to support governance and delivery. Senior Influencer: Need to be a leader and able to influence through excellent communication skills. You will relish collaboration and embrace challenges. You will understand the nuances of business and be driven to find new solutions for our clients' biggest problems. Team Focused: Expected to build effective working relationships with delivery team members and Aker customers and operate without supervision as the technical lead across multiple projects and platforms and mentoring less experienced client team members as required. Capability and Growth: Aker is a fast growing business, so for any remaining % of time when not on client work, it is contributing to the future success of Aker by helping develop capabilities and supporting the other functions such as Sales and Product, and always looking to help grow existing accounts. Essential Experience and Competencies The successful candidate will need to have experience as a lead or managing architect across these core areas: Delivery - designing, delivering platforms and managed services at enterprise scale, specifically bespoke software solutions, particularly in streaming and cloud native solutions. Data Platforms - designing modern data platforms with appropriate architecture covering Data Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber security specialists. The successful candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi disciplined team and clearly communicating complex technology solutions to technical and non technical people Experience designing event processing and async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure as Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equality, Diversity & Inclusion Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.
Innovation Senior Business Analyst This is a flexible, hybrid role and can be based from either of our offices in Peterborough, Manchester, Chesterfield, Stoke or Sunderland. We also have largely remote options available. Must be able to travel on an ad-hoc basis. Role Purpose The Innovation Senior Business Analyst plays a key role in the Group's Innovation function, helping to shape and deliver the Technology Innovation and GenAI roadmap. This role acts as the critical bridge between business needs and technical solutions, identifying opportunities where emerging technologies - particularly Generative AI - can drive meaningful change. Working within a multidisciplinary team, the Innovation Senior Business Analyst will lead the discovery, analysis, and validation of innovation initiatives, ensuring they are aligned with business goals and deliver measurable value. Key Accountabilities & Responsibilities Facilitate workshops, interviews, and discovery sessions to understand the business value stream, pain points and opportunities Identify and shape a pipeline of innovation initiatives that potentially reduce waste and improve processes, productivity and quality Collaborate with engineers, architects, data teams, 3rd party providers, and business SMEs to detail individual PoC requirements and success criteria, that will allow us to evaluate the feasibility of prototypes Work in a tight team to design, build, test, and validate prototypes, ensuring they are feasible and clearly demonstrate business value Support the rollout and scaling of successful PoCs across business functions. Help build AI literacy across the organisation, supporting adoption of new technologies and co-developing new ways of working Operate within an Agile framework, contributing to backlog management, sprint planning, and iterative delivery Co-develop, and enforce, AI governance policies and protocols Skills, Experience & Knowledge Experience with Lean thinking and value stream mapping. Significant experience at a senior level Business Analyst including skills in process mapping, requirements gathering and performance analysis Strong analytical and problem-solving skills, with a keen eye for detail Appreciation of value creation, commercial priorities and business case analysis Experience working in fast-paced, digital environments and Agile delivery teams. Skilled in stakeholder engagement, facilitation. Comfortable operating at all levels of the business, influencing and gaining trust Understanding of data and technology, ideally AI/ML concepts, and their business applications. Comfortable working with ambiguity and shaping early-stage ideas into tangible outcomes. Preferred Familiarity with innovation accelerators and PoC frameworks. Experience with GenAI and an understanding of its potential impact on business. Exposure to tools and platforms such as Azure, GCP, LangChain, MLflow, Databricks, Kubernetes, and CI/CD pipelines. Experience in regulated industries such as insurance or financial services. Background in digital transformation, R&D, or emerging technology teams. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b. Markerstudy also has a large and growing direct presence in the market as well. Having acquired and successfully integrated Co-op Insurance Services in 2021, BGLi in 2022 & Atlanta in 2024.
Mar 05, 2026
Full time
Innovation Senior Business Analyst This is a flexible, hybrid role and can be based from either of our offices in Peterborough, Manchester, Chesterfield, Stoke or Sunderland. We also have largely remote options available. Must be able to travel on an ad-hoc basis. Role Purpose The Innovation Senior Business Analyst plays a key role in the Group's Innovation function, helping to shape and deliver the Technology Innovation and GenAI roadmap. This role acts as the critical bridge between business needs and technical solutions, identifying opportunities where emerging technologies - particularly Generative AI - can drive meaningful change. Working within a multidisciplinary team, the Innovation Senior Business Analyst will lead the discovery, analysis, and validation of innovation initiatives, ensuring they are aligned with business goals and deliver measurable value. Key Accountabilities & Responsibilities Facilitate workshops, interviews, and discovery sessions to understand the business value stream, pain points and opportunities Identify and shape a pipeline of innovation initiatives that potentially reduce waste and improve processes, productivity and quality Collaborate with engineers, architects, data teams, 3rd party providers, and business SMEs to detail individual PoC requirements and success criteria, that will allow us to evaluate the feasibility of prototypes Work in a tight team to design, build, test, and validate prototypes, ensuring they are feasible and clearly demonstrate business value Support the rollout and scaling of successful PoCs across business functions. Help build AI literacy across the organisation, supporting adoption of new technologies and co-developing new ways of working Operate within an Agile framework, contributing to backlog management, sprint planning, and iterative delivery Co-develop, and enforce, AI governance policies and protocols Skills, Experience & Knowledge Experience with Lean thinking and value stream mapping. Significant experience at a senior level Business Analyst including skills in process mapping, requirements gathering and performance analysis Strong analytical and problem-solving skills, with a keen eye for detail Appreciation of value creation, commercial priorities and business case analysis Experience working in fast-paced, digital environments and Agile delivery teams. Skilled in stakeholder engagement, facilitation. Comfortable operating at all levels of the business, influencing and gaining trust Understanding of data and technology, ideally AI/ML concepts, and their business applications. Comfortable working with ambiguity and shaping early-stage ideas into tangible outcomes. Preferred Familiarity with innovation accelerators and PoC frameworks. Experience with GenAI and an understanding of its potential impact on business. Exposure to tools and platforms such as Azure, GCP, LangChain, MLflow, Databricks, Kubernetes, and CI/CD pipelines. Experience in regulated industries such as insurance or financial services. Background in digital transformation, R&D, or emerging technology teams. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b. Markerstudy also has a large and growing direct presence in the market as well. Having acquired and successfully integrated Co-op Insurance Services in 2021, BGLi in 2022 & Atlanta in 2024.
A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you're looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive - a group of talented professionals who genuinely enjoy working together. Key Responsibilities Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects. You must have at least 4 years Python experience Experience with Typescript and a years Javascript Key Requirements Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelor's or Master's degree in Computer Science, Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills. Adaptability/willingness to learn (e.g., Agile). Technical leadership (mentoring, best-practice guidance). Desirable: Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery). Experience with database schema design and query optimisation. Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features. Lead code reviews and technical discussions, and contribute to architectural decisions. Lead complex coding tasks; ensure code quality. Identify and resolve performance and scalability issues. Write clean, maintainable, and well-documented code. Mentor and support junior and mid-level engineers. Stay current with emerging technologies and industry trends. Estimate work; lead delivery of features from the roadmap. Solve ambiguous problems with scalable solutions.
Mar 05, 2026
Full time
A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you're looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive - a group of talented professionals who genuinely enjoy working together. Key Responsibilities Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects. You must have at least 4 years Python experience Experience with Typescript and a years Javascript Key Requirements Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelor's or Master's degree in Computer Science, Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills. Adaptability/willingness to learn (e.g., Agile). Technical leadership (mentoring, best-practice guidance). Desirable: Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery). Experience with database schema design and query optimisation. Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features. Lead code reviews and technical discussions, and contribute to architectural decisions. Lead complex coding tasks; ensure code quality. Identify and resolve performance and scalability issues. Write clean, maintainable, and well-documented code. Mentor and support junior and mid-level engineers. Stay current with emerging technologies and industry trends. Estimate work; lead delivery of features from the roadmap. Solve ambiguous problems with scalable solutions.
AI Engineer (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £75,000 - £85,000 Per Annum D.O.E Build intelligent systems that solve real enterprise problems: We're looking for an AI Engineer who wants to do more than just plug into APIs, someone who wants to own the build, shape intelligent systems, and bring advanced GenAI and Agentic AI solutions into real-world production. If you're motivated by tackling messy enterprise problems, not just experimenting with models, this is a role where you'll build systems that genuinely change how organisations operate. Why this role exists: Enterprises are past the experimentation phase. They're asking harder questions: How do we make GenAI stable, scalable, and safe? How do we move from prototypes to production? How do we integrate AI into existing products and workflows? You'll be the engineer who takes these questions and turns them into working, impactful AI systems, not just research pieces or demo-ware. This role is ideal for someone who thrives on building, iterating, and owning AI solutions end-to-end. The Role: As an AI Engineer, you'll be responsible for designing, building, and deploying production-grade AI systems in complex enterprise environments. You will: Build and deploy GenAI, RAG, and Agentic AI systems that solve real business challenges Develop robust pipelines, services, and integrations that turn models into usable products Work across front-end, back-end, and data layers to deliver complete, functioning AI solutions Collaborate with architects, data scientists, and product stakeholders to shape solutions and define delivery paths Take ownership of performance, scalability, and maintainability of AI components Continuously experiment, improve, and bring new ideas forward, without heavy process slowing you down This isn't a research role and it's not "keep the lights on." It's product-driven engineering where you ship real systems into production. Key Responsibilities: AI System Development Build and optimise AI models and pipelines Implement RAG, agentic workflows, and advanced reasoning techniques Deploy LLM-driven features into real products Full-Stack & Platform Engineering Develop APIs, backend services, data flows, and integration layers Contribute to UI/UX when needed as part of end-to-end delivery Ensure clean, scalable engineering across the stack MLOps / LLMOps Own the deployment, monitoring, and iteration of AI systems Use modern tooling to ensure models and pipelines are reliable, observable, and repeatable Collaboration Work closely with cross-functional teams to identify opportunities and translate them into robust engineering solutions Provide technical input into architecture, design discussions, and delivery planning What We're Looking For: Core Experience: Strong Python engineering skills and experience delivering production AI/ML systems Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks Experience deploying solutions on cloud platforms (AWS, Azure, or GCP) Familiarity with LangChain, LlamaIndex, or agentic frameworks is highly valuable Strong grounding in software engineering best practices (testing, versioning, CI/CD, scalability) Mindset & Behaviours: Seek ownership, not just tasks Enjoy solving real user and business problems, not just model optimisation Thrive in environments where they can experiment and move quickly Communicate clearly with both technical and non-technical stakeholders Want to see their work in production, being used by real people Why Join? Work on impactful AI programmes that go beyond prototypes Build meaningful, high-value systems that people actually use Work with modern GenAI tools, approaches, and delivery models Collaborate with experienced architects, engineers, and innovators Strong investment in engineering excellence, innovation, and personal development If you want to build AI systems that matter, not just experiment with models, this is your next move.
Mar 03, 2026
Full time
AI Engineer (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £75,000 - £85,000 Per Annum D.O.E Build intelligent systems that solve real enterprise problems: We're looking for an AI Engineer who wants to do more than just plug into APIs, someone who wants to own the build, shape intelligent systems, and bring advanced GenAI and Agentic AI solutions into real-world production. If you're motivated by tackling messy enterprise problems, not just experimenting with models, this is a role where you'll build systems that genuinely change how organisations operate. Why this role exists: Enterprises are past the experimentation phase. They're asking harder questions: How do we make GenAI stable, scalable, and safe? How do we move from prototypes to production? How do we integrate AI into existing products and workflows? You'll be the engineer who takes these questions and turns them into working, impactful AI systems, not just research pieces or demo-ware. This role is ideal for someone who thrives on building, iterating, and owning AI solutions end-to-end. The Role: As an AI Engineer, you'll be responsible for designing, building, and deploying production-grade AI systems in complex enterprise environments. You will: Build and deploy GenAI, RAG, and Agentic AI systems that solve real business challenges Develop robust pipelines, services, and integrations that turn models into usable products Work across front-end, back-end, and data layers to deliver complete, functioning AI solutions Collaborate with architects, data scientists, and product stakeholders to shape solutions and define delivery paths Take ownership of performance, scalability, and maintainability of AI components Continuously experiment, improve, and bring new ideas forward, without heavy process slowing you down This isn't a research role and it's not "keep the lights on." It's product-driven engineering where you ship real systems into production. Key Responsibilities: AI System Development Build and optimise AI models and pipelines Implement RAG, agentic workflows, and advanced reasoning techniques Deploy LLM-driven features into real products Full-Stack & Platform Engineering Develop APIs, backend services, data flows, and integration layers Contribute to UI/UX when needed as part of end-to-end delivery Ensure clean, scalable engineering across the stack MLOps / LLMOps Own the deployment, monitoring, and iteration of AI systems Use modern tooling to ensure models and pipelines are reliable, observable, and repeatable Collaboration Work closely with cross-functional teams to identify opportunities and translate them into robust engineering solutions Provide technical input into architecture, design discussions, and delivery planning What We're Looking For: Core Experience: Strong Python engineering skills and experience delivering production AI/ML systems Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks Experience deploying solutions on cloud platforms (AWS, Azure, or GCP) Familiarity with LangChain, LlamaIndex, or agentic frameworks is highly valuable Strong grounding in software engineering best practices (testing, versioning, CI/CD, scalability) Mindset & Behaviours: Seek ownership, not just tasks Enjoy solving real user and business problems, not just model optimisation Thrive in environments where they can experiment and move quickly Communicate clearly with both technical and non-technical stakeholders Want to see their work in production, being used by real people Why Join? Work on impactful AI programmes that go beyond prototypes Build meaningful, high-value systems that people actually use Work with modern GenAI tools, approaches, and delivery models Collaborate with experienced architects, engineers, and innovators Strong investment in engineering excellence, innovation, and personal development If you want to build AI systems that matter, not just experiment with models, this is your next move.
About the Role: Grade Level (for internal use): 15 The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology (current and future state) assets to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team: Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts Bgov ernance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Establish and run formal governance mechanisms, including an Enterprise-wide Architecture Review Board (EARB), Divisional Architecture Boards (DABs), Software Governance Board (SGB) and other critical processes to embed standardized architectural governance across the Divisions. Drive operational execution of these bodies, ensuring compliance with architecture standards, and documentation of critical technical decisions. Activate and grow the architecture community of practice to promote shared standards and practices as well as build a network of architects with shared ways of working, tools, and frameworks. Own communication strategy to build the architecture community and foster an Innovation culture. Provide strategic guidance and ensure consistency of all architecture artifacts, adhering to future state standards for EA artifacts and ensure alignment across Divisions and architecture domains. Form important partnerships across the enterprise, both internal and external, to facilitate collaboration and stay informed of new capabilities and emerging technology trends. Support the development, maintenance, and governance of the newly established enterprise architecture function. Lead stakeholder engagement across business and technology leadership. Support the architecture across major domains: business, application, data, and infrastructure/technology (cloud, edge, streaming, SaaS/PaaS). Drive alignment with new acquisition/integration (M&A) initiatives to ensure smooth architectural integration of new businesses, participating in due diligence as necessary. Establish and run Centers of Excellence as the Enterprise Architecture function maturity evolves. Contribute to architectural effectiveness reporting to track key metrics such adherence to approved standards, measuring the reduction of technical debt logged via the ARB process, and evaluating the level of engagement and adoption of shared knowledge and training within the community. Champion FinOps practices, ensuring financial accountability and optimization of cloud and technology spend across architecture initiatives, and collaborate with finance and technology teams to establish cost transparency, forecasting, and reporting mechanisms. Serve as a hands on architect, bringing expertise in Markdown for documentation, Spec Driven Development for robust design processes, GitHub for code management and collaboration, Mermaid for architecture diagramming, Cloud Security Posture Management (CSPM) for cloud security governance, Backstage for developer portal management, and policy as code for automated compliance and governance. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, realtime analytics, digital platforms). Proven, hands on experience architecting solutions using Markdown for technical documentation, Spec Driven Development methodologies, GitHub for source control and collaboration, Mermaid for visualizing system architectures, CSPM for cloud security, Backstage for developer experience, and policy as code for automated governance and compliance. Demonstrated experience implementing FinOps practices, including cost optimization strategies, cloud spend analysis, and financial governance in technology environment 10+ years of experience in enterprise architecture or related fields, with a proven ability to establish governance frameworks and lead architectural initiatives that drive business value and compliance. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Governance and Community team: Significant experience operating or chairing a formal Architecture Review Board (ARB), compliance activities (including exception and exemption handling) or equivalent technical governance body in a large, global organization. Extensive experience in setting up best practices for architecture & Design principles, Solution guidelines and business case formats, etc., to align diverse teams to a unified & common platform. Advanced analytical skills to analyze the current IT environment to detect critical deficiencies and recommend practical solutions for improvement. Identify organizational requirements for resources (financial, skill, and process resources), as well as structures & cultural change necessary to support the Enterprise Architecture function. Advanced analytical and reasoning skills to analyse functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Experience in managing large scale projects and organizational change initiatives to navigate implementation challenges and ensure effective governance processes. Demonstrated ability to identify and quantify organizational requirements for resources (financial, skill, and process resources), structures, and cultural change necessary to effectively support the Enterprise Architecture function. Effective communication and networking skills, capable of fostering an innovative culture, engage architecture community of practice and drive adoption of new processes. Strong people leadership skills with ability to mentor, and work the Divisional technical teams on architectural artefacts, a focus on continual learning. . click apply for full job details
Mar 02, 2026
Full time
About the Role: Grade Level (for internal use): 15 The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology (current and future state) assets to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team: Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts Bgov ernance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Establish and run formal governance mechanisms, including an Enterprise-wide Architecture Review Board (EARB), Divisional Architecture Boards (DABs), Software Governance Board (SGB) and other critical processes to embed standardized architectural governance across the Divisions. Drive operational execution of these bodies, ensuring compliance with architecture standards, and documentation of critical technical decisions. Activate and grow the architecture community of practice to promote shared standards and practices as well as build a network of architects with shared ways of working, tools, and frameworks. Own communication strategy to build the architecture community and foster an Innovation culture. Provide strategic guidance and ensure consistency of all architecture artifacts, adhering to future state standards for EA artifacts and ensure alignment across Divisions and architecture domains. Form important partnerships across the enterprise, both internal and external, to facilitate collaboration and stay informed of new capabilities and emerging technology trends. Support the development, maintenance, and governance of the newly established enterprise architecture function. Lead stakeholder engagement across business and technology leadership. Support the architecture across major domains: business, application, data, and infrastructure/technology (cloud, edge, streaming, SaaS/PaaS). Drive alignment with new acquisition/integration (M&A) initiatives to ensure smooth architectural integration of new businesses, participating in due diligence as necessary. Establish and run Centers of Excellence as the Enterprise Architecture function maturity evolves. Contribute to architectural effectiveness reporting to track key metrics such adherence to approved standards, measuring the reduction of technical debt logged via the ARB process, and evaluating the level of engagement and adoption of shared knowledge and training within the community. Champion FinOps practices, ensuring financial accountability and optimization of cloud and technology spend across architecture initiatives, and collaborate with finance and technology teams to establish cost transparency, forecasting, and reporting mechanisms. Serve as a hands on architect, bringing expertise in Markdown for documentation, Spec Driven Development for robust design processes, GitHub for code management and collaboration, Mermaid for architecture diagramming, Cloud Security Posture Management (CSPM) for cloud security governance, Backstage for developer portal management, and policy as code for automated compliance and governance. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, realtime analytics, digital platforms). Proven, hands on experience architecting solutions using Markdown for technical documentation, Spec Driven Development methodologies, GitHub for source control and collaboration, Mermaid for visualizing system architectures, CSPM for cloud security, Backstage for developer experience, and policy as code for automated governance and compliance. Demonstrated experience implementing FinOps practices, including cost optimization strategies, cloud spend analysis, and financial governance in technology environment 10+ years of experience in enterprise architecture or related fields, with a proven ability to establish governance frameworks and lead architectural initiatives that drive business value and compliance. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Governance and Community team: Significant experience operating or chairing a formal Architecture Review Board (ARB), compliance activities (including exception and exemption handling) or equivalent technical governance body in a large, global organization. Extensive experience in setting up best practices for architecture & Design principles, Solution guidelines and business case formats, etc., to align diverse teams to a unified & common platform. Advanced analytical skills to analyze the current IT environment to detect critical deficiencies and recommend practical solutions for improvement. Identify organizational requirements for resources (financial, skill, and process resources), as well as structures & cultural change necessary to support the Enterprise Architecture function. Advanced analytical and reasoning skills to analyse functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Experience in managing large scale projects and organizational change initiatives to navigate implementation challenges and ensure effective governance processes. Demonstrated ability to identify and quantify organizational requirements for resources (financial, skill, and process resources), structures, and cultural change necessary to effectively support the Enterprise Architecture function. Effective communication and networking skills, capable of fostering an innovative culture, engage architecture community of practice and drive adoption of new processes. Strong people leadership skills with ability to mentor, and work the Divisional technical teams on architectural artefacts, a focus on continual learning. . click apply for full job details
For airports, for partners, for people. We are CAVU. At CAVU, our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody-from the smallest ideas to the biggest transformations. Every day is an opportunity to create better travel experiences. From our revenue-accelerating single-platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges, our solutions make travel smoother for passengers and more profitable for our clients and partners. We know that to bring your best ideas, you need the space to think, the support to grow, and the freedom to be your authentic self. Whether you're working from our offices, from home, in our lounges, or on the road, we provide an environment where you can create, innovate, and help transform airport travel. If you're looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? CAVU is well into an exciting digital and data transformation journey. With the acquisition of new brands, the expansion of our product portfolio, and a commitment to best-in-class technology, data has become fundamental to how we operate and grow. As we progress towards a fully event-based architecture with data quality at the heart of everything we do, we're now looking for a Head of Data Engineering to join our Data leadership team. This role will shape, strengthen, and scale our centralised data engineering function-ensuring our platforms, pipelines, and architecture are robust, forward-thinking, and fit for the future. You'll bring deep expertise across modern data engineering practices, strong technical solution-design capability (particularly with Databricks), and the leadership to empower a high-performing engineering team. Key Responsibilities Team Leadership: Lead, manage and mentor a team of data engineers, fostering a culture of collaboration, learning, and innovation. Strategic Ownership: Develop and execute the data engineering strategy, ensuring alignment with business objectives and long-term data ambitions. Data Architecture: Design, oversee, and continually improve CAVU's data storage, processing, and integration architecture. Pipeline Excellence: Ensure the delivery of scalable, high-quality data pipelines for ingestion, transformation and storage. Cross-Functional Collaboration: Partner closely with data science, analytics, product, and engineering teams to ensure data is accessible, discoverable, and meets CAVU standards. Data Quality & Governance: Establish and champion best practices for data quality, governance, observability, and security. Technology Evaluation: Stay ahead of data engineering trends and evaluate emerging tools to enhance the team's capabilities. Budget & Resource Management: Own the data engineering budget and ensure efficient use of infrastructure and resources. Stakeholder Management: Anticipate issues, remove blockers, and communicate effectively with technical and non-technical stakeholders. About You You're a strategic and hands-on data leader with a passion for building scalable systems, high-performing teams, and exceptional data products. You're motivated by solving complex problems, enabling others to thrive, and shaping the future of data at CAVU. Qualifications & Experience Strong experience with medallion architecture and Databricks Proficiency with ETL tools (e.g., Rivery) and ML-Ops frameworks Strong programming skills (Python, Scala or Java) Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills with the ability to bring clarity to complexity Proven ability to anticipate problems and resolve them with ease Preferred Experience working in a SaaS environment Exposure to machine learning and AI tooling The Perks 25 days holiday, increasing with service (up to 28) Option to buy up to 10 extra days + 4 flexible bank holidays 10% company pension On-site gym A range of flexible benefits and discounts, including up to 50% off CAVU products such as Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to health & wellbeing events, ID&E activities, and learning opportunities Formal and informal development options, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) The Interview Process Recruiter Screen (approx. 15 minutes) - We'll cover your experience, motivations, and role fit Skills & Competency Interview Values Interview Equal Opportunities & Reasonable Adjustments We're building something brilliant at CAVU: a diverse team of People who reflect the global customer base that we serve. We're proudly part of MAG and together we're on a mission to be number one in our industries, and that takes talent in all its forms. With so many exciting roles across businesses, there's space of your unique strengths to shine. Whether this is your first role or your next big step, we want to hear from you - even if you don't think you tick every box. What matters most is what you bring. We're proud to be a Disability Confident employer. If you need any adjustments to support your application or interview, just let us know. We're committed to helping you perform at your best. At MAG and CAVU, every journey matters. Our Colleague Communities play a big part in that: Women's Network, Embrace (Race & Ethnicity), Fly with Pride (LGBTQIA+), Mind Matters (Mental Health), PACT (Parents & Carers), RespectABILITY (Disability & Neurodiversity), and the CAVU Global ID&E Affinity Group.
Mar 02, 2026
Full time
For airports, for partners, for people. We are CAVU. At CAVU, our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody-from the smallest ideas to the biggest transformations. Every day is an opportunity to create better travel experiences. From our revenue-accelerating single-platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges, our solutions make travel smoother for passengers and more profitable for our clients and partners. We know that to bring your best ideas, you need the space to think, the support to grow, and the freedom to be your authentic self. Whether you're working from our offices, from home, in our lounges, or on the road, we provide an environment where you can create, innovate, and help transform airport travel. If you're looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? CAVU is well into an exciting digital and data transformation journey. With the acquisition of new brands, the expansion of our product portfolio, and a commitment to best-in-class technology, data has become fundamental to how we operate and grow. As we progress towards a fully event-based architecture with data quality at the heart of everything we do, we're now looking for a Head of Data Engineering to join our Data leadership team. This role will shape, strengthen, and scale our centralised data engineering function-ensuring our platforms, pipelines, and architecture are robust, forward-thinking, and fit for the future. You'll bring deep expertise across modern data engineering practices, strong technical solution-design capability (particularly with Databricks), and the leadership to empower a high-performing engineering team. Key Responsibilities Team Leadership: Lead, manage and mentor a team of data engineers, fostering a culture of collaboration, learning, and innovation. Strategic Ownership: Develop and execute the data engineering strategy, ensuring alignment with business objectives and long-term data ambitions. Data Architecture: Design, oversee, and continually improve CAVU's data storage, processing, and integration architecture. Pipeline Excellence: Ensure the delivery of scalable, high-quality data pipelines for ingestion, transformation and storage. Cross-Functional Collaboration: Partner closely with data science, analytics, product, and engineering teams to ensure data is accessible, discoverable, and meets CAVU standards. Data Quality & Governance: Establish and champion best practices for data quality, governance, observability, and security. Technology Evaluation: Stay ahead of data engineering trends and evaluate emerging tools to enhance the team's capabilities. Budget & Resource Management: Own the data engineering budget and ensure efficient use of infrastructure and resources. Stakeholder Management: Anticipate issues, remove blockers, and communicate effectively with technical and non-technical stakeholders. About You You're a strategic and hands-on data leader with a passion for building scalable systems, high-performing teams, and exceptional data products. You're motivated by solving complex problems, enabling others to thrive, and shaping the future of data at CAVU. Qualifications & Experience Strong experience with medallion architecture and Databricks Proficiency with ETL tools (e.g., Rivery) and ML-Ops frameworks Strong programming skills (Python, Scala or Java) Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills with the ability to bring clarity to complexity Proven ability to anticipate problems and resolve them with ease Preferred Experience working in a SaaS environment Exposure to machine learning and AI tooling The Perks 25 days holiday, increasing with service (up to 28) Option to buy up to 10 extra days + 4 flexible bank holidays 10% company pension On-site gym A range of flexible benefits and discounts, including up to 50% off CAVU products such as Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to health & wellbeing events, ID&E activities, and learning opportunities Formal and informal development options, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) The Interview Process Recruiter Screen (approx. 15 minutes) - We'll cover your experience, motivations, and role fit Skills & Competency Interview Values Interview Equal Opportunities & Reasonable Adjustments We're building something brilliant at CAVU: a diverse team of People who reflect the global customer base that we serve. We're proudly part of MAG and together we're on a mission to be number one in our industries, and that takes talent in all its forms. With so many exciting roles across businesses, there's space of your unique strengths to shine. Whether this is your first role or your next big step, we want to hear from you - even if you don't think you tick every box. What matters most is what you bring. We're proud to be a Disability Confident employer. If you need any adjustments to support your application or interview, just let us know. We're committed to helping you perform at your best. At MAG and CAVU, every journey matters. Our Colleague Communities play a big part in that: Women's Network, Embrace (Race & Ethnicity), Fly with Pride (LGBTQIA+), Mind Matters (Mental Health), PACT (Parents & Carers), RespectABILITY (Disability & Neurodiversity), and the CAVU Global ID&E Affinity Group.
Role: AI/ML Computational Science Senior Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. We Are The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry defining work. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI driven solutions. The Work We are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications. You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry leading agentic systems that are robust, scalable, and client ready. Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross functional teams across DevOps, AI engineering, and client enablement. Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Job Qualifications Design and develop artificial intelligence AI and machine learning ML systems leveraging existing cloud AI services. Design and build scalable data pipelines to support model training and production with DevOpsMLOps. Customize and apply Deep Learning and Gen AI models for use cases based on business needs, data availability, system and infrastructure requirements including edge devices and High-Performance Computers HPCs. Justify the quality and value of the solution. Engage in research and development of new AI and high-performance computing algorithms, models, and simulations along with their applications to solve complex problems. Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production. Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 26/06/26 Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
Mar 02, 2026
Full time
Role: AI/ML Computational Science Senior Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. We Are The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry defining work. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI driven solutions. The Work We are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications. You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry leading agentic systems that are robust, scalable, and client ready. Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross functional teams across DevOps, AI engineering, and client enablement. Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Job Qualifications Design and develop artificial intelligence AI and machine learning ML systems leveraging existing cloud AI services. Design and build scalable data pipelines to support model training and production with DevOpsMLOps. Customize and apply Deep Learning and Gen AI models for use cases based on business needs, data availability, system and infrastructure requirements including edge devices and High-Performance Computers HPCs. Justify the quality and value of the solution. Engage in research and development of new AI and high-performance computing algorithms, models, and simulations along with their applications to solve complex problems. Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production. Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 26/06/26 Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Why consider joining our Financial Services community as a Google Cloud (GCP) Managing Consultant? Our Managing Consultants play a key component of our Go to market strategies, working closely with Partners to develop compelling insight and propositions for our clients. This is a chance to take responsibility for developing our capabilities in Google Cloud. An opportunity to shape your own path in a role where you're trusted to manage your time, make an impact, and drive meaningful change for clients and communities in the Financial Services sector. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. Contribute to shaping the future of financial services and solving challenges that affect everyday lives. Thrive in a collaborative community of experts, supported by peer level mentoring, coaching, and knowledge sharing. What you can expect Be part of our management team, helping shape and launch new service propositions while driving strategic business growth. Lead business development initiatives-building trusted client relationships, owning outcomes, and delivering innovative, high impact solutions. Apply hands on experience to design and deliver cutting edge business solutions, working end to end from senior stakeholders to delivery teams. Access the latest training and certifications, including AWS, Azure, and GCP, alongside our extensive internal learning and mentoring programmes. Contribute to thought leadership and the development of market relevant offerings that showcase innovation and deliver value to clients. Qualifications Essential requirements Even if you don't meet every requirement, we encourage you to apply-we often hire for similar roles that may be a great fit. A deep understanding of Cloud strategy and implementation, particularly with regards to Google Cloud (GCP) platforms, ideally at an architecture level. Experience in selling professional services, including consultancy and Google Cloud services An established network of senior stakeholders within financial services, with a proven ability to nurture and expand relationships that support business development and long term client partnerships Proven experience across financial services, particularly in banking, insurance, wealth management, payments, or financial infrastructure Experience leading multidisciplinary teams, especially in engineering and architecture Ability to deliver strategic thinking through delivery roadmaps and mentoring. Deep knowledge of cloud, digital, data, and AI technologies, with exposure to emerging tech and digital trends. Additional information Please not that the interview stages may be subject to change based on the specific requirements of the role. Introductory Callwith a senior Talent Acquisition Partner to explore your background, the opportunity, and PA. Round 1:Three competency based interviews with members of the team. Final Round :Business plan presentation to PA leaders-with guidance and prep time provided. Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Hybrid Working - Our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on client site. Adjustments or accommodations- Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Feb 28, 2026
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Why consider joining our Financial Services community as a Google Cloud (GCP) Managing Consultant? Our Managing Consultants play a key component of our Go to market strategies, working closely with Partners to develop compelling insight and propositions for our clients. This is a chance to take responsibility for developing our capabilities in Google Cloud. An opportunity to shape your own path in a role where you're trusted to manage your time, make an impact, and drive meaningful change for clients and communities in the Financial Services sector. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. Contribute to shaping the future of financial services and solving challenges that affect everyday lives. Thrive in a collaborative community of experts, supported by peer level mentoring, coaching, and knowledge sharing. What you can expect Be part of our management team, helping shape and launch new service propositions while driving strategic business growth. Lead business development initiatives-building trusted client relationships, owning outcomes, and delivering innovative, high impact solutions. Apply hands on experience to design and deliver cutting edge business solutions, working end to end from senior stakeholders to delivery teams. Access the latest training and certifications, including AWS, Azure, and GCP, alongside our extensive internal learning and mentoring programmes. Contribute to thought leadership and the development of market relevant offerings that showcase innovation and deliver value to clients. Qualifications Essential requirements Even if you don't meet every requirement, we encourage you to apply-we often hire for similar roles that may be a great fit. A deep understanding of Cloud strategy and implementation, particularly with regards to Google Cloud (GCP) platforms, ideally at an architecture level. Experience in selling professional services, including consultancy and Google Cloud services An established network of senior stakeholders within financial services, with a proven ability to nurture and expand relationships that support business development and long term client partnerships Proven experience across financial services, particularly in banking, insurance, wealth management, payments, or financial infrastructure Experience leading multidisciplinary teams, especially in engineering and architecture Ability to deliver strategic thinking through delivery roadmaps and mentoring. Deep knowledge of cloud, digital, data, and AI technologies, with exposure to emerging tech and digital trends. Additional information Please not that the interview stages may be subject to change based on the specific requirements of the role. Introductory Callwith a senior Talent Acquisition Partner to explore your background, the opportunity, and PA. Round 1:Three competency based interviews with members of the team. Final Round :Business plan presentation to PA leaders-with guidance and prep time provided. Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Hybrid Working - Our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on client site. Adjustments or accommodations- Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
