API Security Architect Knutsford - Hybrid, 3 days on site Contract - £700 - £750 per day (inside) Our client is seeking an API Security Architect who will join the security team of a major organisation. You will have strong knowledge of enterprise-level API Security Architecture, as you will ensure that APIs are built securely, and align with organisational security and compliance requirements. Technical Skills & Competencies: Proven experience in API security architecture within large-scale environments. Expertise in API gateways (Apigee, Azure API Management, Kong, Mulesoft). Strong knowledge of OAuth2.0, OIDC, JWT, mTLS, TLS, and Zero Trust principles. Deep understanding of OWASP API Security Top 10 and secure design patterns. Experience designing security controls in the cloud (Azure, AWS, or GCP). Ability to create architectural artefacts (HLDs, LLDs, security patterns). Desirable: Strong communication and stakeholder management skills Comfortable working directly with senior leadership Problem-solver with a hands-on mindset Prior experience working with global banks or financial institutions Security certifications (CISSP, GIAC, SABSA, CCSP - preferred but not mandatory) Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Mar 14, 2026
Contractor
API Security Architect Knutsford - Hybrid, 3 days on site Contract - £700 - £750 per day (inside) Our client is seeking an API Security Architect who will join the security team of a major organisation. You will have strong knowledge of enterprise-level API Security Architecture, as you will ensure that APIs are built securely, and align with organisational security and compliance requirements. Technical Skills & Competencies: Proven experience in API security architecture within large-scale environments. Expertise in API gateways (Apigee, Azure API Management, Kong, Mulesoft). Strong knowledge of OAuth2.0, OIDC, JWT, mTLS, TLS, and Zero Trust principles. Deep understanding of OWASP API Security Top 10 and secure design patterns. Experience designing security controls in the cloud (Azure, AWS, or GCP). Ability to create architectural artefacts (HLDs, LLDs, security patterns). Desirable: Strong communication and stakeholder management skills Comfortable working directly with senior leadership Problem-solver with a hands-on mindset Prior experience working with global banks or financial institutions Security certifications (CISSP, GIAC, SABSA, CCSP - preferred but not mandatory) Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
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.
IT Security Architect - AWS - Manchester An IT Security Architect with a PCI DSS & cloud background (AWS, GCP OR Azure) is required to join our global client's new UK cybersecurity team. The role is to lead the design and implementation of PCI DSS architecture on a global scale from their head office in central Manchester click apply for full job details
Mar 14, 2026
Full time
IT Security Architect - AWS - Manchester An IT Security Architect with a PCI DSS & cloud background (AWS, GCP OR Azure) is required to join our global client's new UK cybersecurity team. The role is to lead the design and implementation of PCI DSS architecture on a global scale from their head office in central Manchester click apply for full job details
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.
Overview We are seeking Senior Software Engineers on either a hybrid or remote working basis to join our expanding development teams. and Jet2holidays are looking for a Senior Software Engineer to join our fast moving and growing software development team. This is an exciting role, working across a breadth of systems and technologies to deliver value and Create Memories for both our business and our customers. We have several roles within our wide range of scrum teams and are looking for passionate, technical people to join our team. What you'll do As a Senior Software Engineer, you will be joining a fast-paced scrum team, made up of a lead engineer, software engineers, automation and manual test engineers, product owners and business analysts. You will: Deliver systems that improve the experience of our customers and business users Build robust and scalable systems Actively engage in design discussions and decisions about projects Participate in team activities such as planning and estimation Mentor team members to facilitate their growth and progression Champion clean coding standards and practices. Benefits As our Senior Software Engineer, you'll have access to a wide range of benefits including: Colleague discounts on flights and Jet2holidays packages Access to a generous discretionary profit share scheme Annual pay reviews What is the tech stack? We have a wide range of technologies used across a large number of teams, including: C#, .NET Core, and Web API Web Application Frameworks (ASP.NET MVC, SPA) Enterprise content management achieved through Sitecore RESTful Microservices - light-weight efficient, decoupled APIs that scale well Event driven architectures (Kafka) Modern reactive JavaScript Frameworks (React, Next.js, Vue.js, Angular) Advanced web topologies (Headless, Jamstack) Storage technologies like SQL, Redis and SOLR Automated UI and API testing (BDD, Selenium) Cloud technologies (Azure/AWS/GCP) Containerised environments using Kubernetes, Docker and CI/CD pipelines What you'll have Our Senior Software Engineer will have previous experience in the usage of almost all our tech stacks and be extremely passionate about technology. You will also: Have strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders across the business Have prior mentoring experience or be willing to develop skills in this area to support the growth of software development team Be approachable and able to work as part of a team Offer support and expert guidance to colleagues where required
Mar 13, 2026
Full time
Overview We are seeking Senior Software Engineers on either a hybrid or remote working basis to join our expanding development teams. and Jet2holidays are looking for a Senior Software Engineer to join our fast moving and growing software development team. This is an exciting role, working across a breadth of systems and technologies to deliver value and Create Memories for both our business and our customers. We have several roles within our wide range of scrum teams and are looking for passionate, technical people to join our team. What you'll do As a Senior Software Engineer, you will be joining a fast-paced scrum team, made up of a lead engineer, software engineers, automation and manual test engineers, product owners and business analysts. You will: Deliver systems that improve the experience of our customers and business users Build robust and scalable systems Actively engage in design discussions and decisions about projects Participate in team activities such as planning and estimation Mentor team members to facilitate their growth and progression Champion clean coding standards and practices. Benefits As our Senior Software Engineer, you'll have access to a wide range of benefits including: Colleague discounts on flights and Jet2holidays packages Access to a generous discretionary profit share scheme Annual pay reviews What is the tech stack? We have a wide range of technologies used across a large number of teams, including: C#, .NET Core, and Web API Web Application Frameworks (ASP.NET MVC, SPA) Enterprise content management achieved through Sitecore RESTful Microservices - light-weight efficient, decoupled APIs that scale well Event driven architectures (Kafka) Modern reactive JavaScript Frameworks (React, Next.js, Vue.js, Angular) Advanced web topologies (Headless, Jamstack) Storage technologies like SQL, Redis and SOLR Automated UI and API testing (BDD, Selenium) Cloud technologies (Azure/AWS/GCP) Containerised environments using Kubernetes, Docker and CI/CD pipelines What you'll have Our Senior Software Engineer will have previous experience in the usage of almost all our tech stacks and be extremely passionate about technology. You will also: Have strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders across the business Have prior mentoring experience or be willing to develop skills in this area to support the growth of software development team Be approachable and able to work as part of a team Offer support and expert guidance to colleagues where required
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 .
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
Mar 11, 2026
Full time
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
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.
Summer-Browning Associates is currently supporting our central government client, who is seeking an Enterprise Architect. This position is for an initial 12-month contract assignment, with the possibility of extension. Location: London The ideal candidate will hold an active security clearance and have a strong background in Enterprise Architecture, along with the following skills and experience: Extensive experience in developing Enterprise Architectural strategies, leading design authorities, and implementing architectural governance. Proven track record in leading enterprise architecture for large-scale cloud hosting, specifically in Azure and GCP, within high-security government Tier 2 environments. In-depth knowledge of cloud architecture, including IAM, identity federation, cryptography, network segmentation, and high-assurance gateways. Proven ability to lead enterprise design across all domains, including Data, Digital, Security, and Technical areas. Proficiency in Secure by Design principles and IT security documentation, including policies, standards, processes, procedures, and patterns. Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA and TOGAF. To apply, please submit your latest CV for review.
Mar 07, 2026
Contractor
Summer-Browning Associates is currently supporting our central government client, who is seeking an Enterprise Architect. This position is for an initial 12-month contract assignment, with the possibility of extension. Location: London The ideal candidate will hold an active security clearance and have a strong background in Enterprise Architecture, along with the following skills and experience: Extensive experience in developing Enterprise Architectural strategies, leading design authorities, and implementing architectural governance. Proven track record in leading enterprise architecture for large-scale cloud hosting, specifically in Azure and GCP, within high-security government Tier 2 environments. In-depth knowledge of cloud architecture, including IAM, identity federation, cryptography, network segmentation, and high-assurance gateways. Proven ability to lead enterprise design across all domains, including Data, Digital, Security, and Technical areas. Proficiency in Secure by Design principles and IT security documentation, including policies, standards, processes, procedures, and patterns. Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA and TOGAF. To apply, please submit your latest CV for review.
Summer-Browning Associates is currently supporting our central government client, who is seeking a Security Architect. This position is for an initial 12-month contract assignment, with the possibility of extension. Location: London The ideal candidate will hold an active security clearance and have a strong background in Security Architecture, along with the following skills and experience: A solid understanding of High-Level Security Architecture (HLD) and a secure-by-design approach. Experience leading security architecture for large-scale cloud hosting (specifically Azure and GCP) in high-threat government Tier 2 secure environments. Extensive knowledge of security architecture, including identity management, device security, workstation protection, cloud hosting, collaboration tools, networking, cryptography, operations, and data governance. Strong understanding of secure DevOps practices, CI/CD controls, and Infrastructure as Code (IaC) hardening. Experience applying security controls to AI and machine learning components, Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA and TOGAF. - Preferred Qualifications: Industry certifications such as CompTIA Security+, CISSP, CISM, CEH, or GIAC are highly desirable. To apply, please submit your latest CV for review.
Mar 07, 2026
Contractor
Summer-Browning Associates is currently supporting our central government client, who is seeking a Security Architect. This position is for an initial 12-month contract assignment, with the possibility of extension. Location: London The ideal candidate will hold an active security clearance and have a strong background in Security Architecture, along with the following skills and experience: A solid understanding of High-Level Security Architecture (HLD) and a secure-by-design approach. Experience leading security architecture for large-scale cloud hosting (specifically Azure and GCP) in high-threat government Tier 2 secure environments. Extensive knowledge of security architecture, including identity management, device security, workstation protection, cloud hosting, collaboration tools, networking, cryptography, operations, and data governance. Strong understanding of secure DevOps practices, CI/CD controls, and Infrastructure as Code (IaC) hardening. Experience applying security controls to AI and machine learning components, Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA and TOGAF. - Preferred Qualifications: Industry certifications such as CompTIA Security+, CISSP, CISM, CEH, or GIAC are highly desirable. To apply, please submit your latest CV for review.
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.
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.
