Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive Expertise: Experience and / or background in the Navy or Naval vessels / projects is highly desirable for this role A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Required Active SC clearance or eligibility for SC clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
13/06/2026
Full time
Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive Expertise: Experience and / or background in the Navy or Naval vessels / projects is highly desirable for this role A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Required Active SC clearance or eligibility for SC clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for a Platform Lead to join our Engineering team at Blue Light Card at a pivotal moment. This is a foundational role, with the platform function just getting started and a real opportunity to shape its direction, culture, and impact from the ground up. As Platform Lead, you'll own platform engineering end to end, setting the strategy, building the team, and ensuring product squads have the tooling, infrastructure, and paved roads they need to deliver with confidence. You'll define what "production ready" means across the organisation and work closely with Staff Engineers and Engineering Managers to make the right technical choices the easiest ones to make. This is a hands on leadership role that balances deep technical involvement with organisational impact. You'll stay close to the technology and the challenges teams face, while owning the platform roadmap, influencing technical direction, and building a platform team that product squads trust and rely on. What you'll do Lead and develop the Platform Engineering team, creating an environment where engineers and squads can thrive Own the platform roadmap, ensuring it delivers clear value to product teams and supports business growth Act as the trusted technical authority for platform and infrastructure decisions across engineering Set clear, practical production readiness standards covering reliability, observability, security, scalability, and cost Build and evolve paved road platform solutions, reference architectures, and reusable tooling Embed strong operational practices, including SLOs, alerting, and effective incident management Use operational data and insights to continuously improve platform reliability, performance, and efficiency Enable product teams to be increasingly self sufficient through great documentation, collaboration, and thoughtful use of automation and AI What you'll bring Proven experience leading a Platform, Infrastructure, or SRE function in a product led engineering organisation Deep, hands on AWS expertise across compute, networking, storage, serverless, and security Strong Terraform experience, building reusable infrastructure as code that teams actively adopt Experience defining and operating SLOs, observability standards, and incident management at scale Ability to set technical direction and communicate it clearly to both technical and nontechnical stakeholders A strong people focus, with a track record of mentoring engineers and building high performing teams Experience with CI/CD pipelines, monitoring and logging platforms, and modern platform engineering practices A commercial mindset, connecting platform investment to delivery speed, cost efficiency, and positive business outcomes Our Culture Our members, partners and colleagues are at the heart of everything we do. Our colleagues are integral to helping create the unique experience we deliver, so we're genuinely committed to creating a place where our team love to work, and people want to join. We work as a team and try to have a bit of fun while we do it, and we recognise the importance of culture and the positive impact it can have on performance for you, the team, our organisation and our members. We believe in attracting the best talent no matter where you are, and have a hybrid working model, with colleagues based in London, the East Midlands and around the country. We're also officially recognised as a Top 100 Great Place To Work UK, one of the UK's Best Workplaces for Wellbeing, Top 100 Best Workplaces for Women and recognised as investors in wellbeing by Investors in People. What We Offer Hybrid working 25 days plus public holidays, buy and sell and an additional day off for your birthday A company bonus scheme Great social events e.g., Christmas party, family fun day, summer party, sports matches Learning and development opportunities Group auto enrolment pension plan Enhanced maternity, paternity, sick pay Company funded private medical insurance Healthcare cashback plan Employee assistance programme (including mental health support) Modern office space with onsite gym including access to free HIIT & stretch classes, games area, chill out areas, book club, and more, when you visit our HQ in Cossington
13/06/2026
Full time
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for a Platform Lead to join our Engineering team at Blue Light Card at a pivotal moment. This is a foundational role, with the platform function just getting started and a real opportunity to shape its direction, culture, and impact from the ground up. As Platform Lead, you'll own platform engineering end to end, setting the strategy, building the team, and ensuring product squads have the tooling, infrastructure, and paved roads they need to deliver with confidence. You'll define what "production ready" means across the organisation and work closely with Staff Engineers and Engineering Managers to make the right technical choices the easiest ones to make. This is a hands on leadership role that balances deep technical involvement with organisational impact. You'll stay close to the technology and the challenges teams face, while owning the platform roadmap, influencing technical direction, and building a platform team that product squads trust and rely on. What you'll do Lead and develop the Platform Engineering team, creating an environment where engineers and squads can thrive Own the platform roadmap, ensuring it delivers clear value to product teams and supports business growth Act as the trusted technical authority for platform and infrastructure decisions across engineering Set clear, practical production readiness standards covering reliability, observability, security, scalability, and cost Build and evolve paved road platform solutions, reference architectures, and reusable tooling Embed strong operational practices, including SLOs, alerting, and effective incident management Use operational data and insights to continuously improve platform reliability, performance, and efficiency Enable product teams to be increasingly self sufficient through great documentation, collaboration, and thoughtful use of automation and AI What you'll bring Proven experience leading a Platform, Infrastructure, or SRE function in a product led engineering organisation Deep, hands on AWS expertise across compute, networking, storage, serverless, and security Strong Terraform experience, building reusable infrastructure as code that teams actively adopt Experience defining and operating SLOs, observability standards, and incident management at scale Ability to set technical direction and communicate it clearly to both technical and nontechnical stakeholders A strong people focus, with a track record of mentoring engineers and building high performing teams Experience with CI/CD pipelines, monitoring and logging platforms, and modern platform engineering practices A commercial mindset, connecting platform investment to delivery speed, cost efficiency, and positive business outcomes Our Culture Our members, partners and colleagues are at the heart of everything we do. Our colleagues are integral to helping create the unique experience we deliver, so we're genuinely committed to creating a place where our team love to work, and people want to join. We work as a team and try to have a bit of fun while we do it, and we recognise the importance of culture and the positive impact it can have on performance for you, the team, our organisation and our members. We believe in attracting the best talent no matter where you are, and have a hybrid working model, with colleagues based in London, the East Midlands and around the country. We're also officially recognised as a Top 100 Great Place To Work UK, one of the UK's Best Workplaces for Wellbeing, Top 100 Best Workplaces for Women and recognised as investors in wellbeing by Investors in People. What We Offer Hybrid working 25 days plus public holidays, buy and sell and an additional day off for your birthday A company bonus scheme Great social events e.g., Christmas party, family fun day, summer party, sports matches Learning and development opportunities Group auto enrolment pension plan Enhanced maternity, paternity, sick pay Company funded private medical insurance Healthcare cashback plan Employee assistance programme (including mental health support) Modern office space with onsite gym including access to free HIIT & stretch classes, games area, chill out areas, book club, and more, when you visit our HQ in Cossington
We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You We Description We are looking to hire a Java Back-End Developer to join our Short-Term Desk Technology team. This role focuses on building the next generation of trading and cash management systems used across our Short Term, Cash, and Collateral desks.You will work on modernizing existing platforms, developing new cloud native services, and contributing to our broader migration toward AWS. The role offers close collaboration with front office stakeholders and ownership across the full software lifecycle. Core Engineering Design, build, and maintain high quality, scalable microservices using Java 21 and modern frameworks. Develop new functionality while evolving existing components with clean, maintainable, well tested code. Apply TDD, good CI/CD practices, and strong engineering standards. Cloud & Platform Modernization Contribute to our cloud migration initiatives by building containerized, cloud ready services. Work with AWS services (e.g., Lambda, EKS, RDS, S3, MSK) to help move workloads off legacy environments. Participate in improving observability through metrics, tracing, and logging. AI & Automation Use applied AI tooling (e.g., GitHub Copilot, MCP servers, and LLMs) to accelerate development, improve testing quality, and streamline operational automation. Identify and implement opportunities for intelligent automation within systems (e.g., anomaly detection, documentation generation, automated runbooks). Business Collaboration Work directly with portfolio managers, traders, and operations teams to deliver high impact solutions. Understand front office workflows and translate them into robust, performant technical designs Required Qualifications 3- 5 years of strong experience with Java (preferably Java 17+; ideally Java 21) and back-end development Familiarity with microservices, REST APIs, and event driven architectures. Some exposure to AWS or cloud native engineering concepts (containers, CI/CD, infrastructure as code). Interest or experience in using AI tools to boost productivity (code generation, test creation, documentation, etc.). A proactive mindset, eagerness to learn, and ability to work in a fast-moving front office environment. Strong communication skills and desire to partner closely with business users. Work on high visibility trading systems critical to PIMCO's Short Term Desk. Gain hands on experience with modern Java, cloud engineering, and applied AI. Collaborate with a talented global engineering team and front office partners. Opportunity to take real ownership - from design and implementation through to production. Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days. Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real-world business problems. Recognize that cross-functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch-and-learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.
13/06/2026
Full time
We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You We Description We are looking to hire a Java Back-End Developer to join our Short-Term Desk Technology team. This role focuses on building the next generation of trading and cash management systems used across our Short Term, Cash, and Collateral desks.You will work on modernizing existing platforms, developing new cloud native services, and contributing to our broader migration toward AWS. The role offers close collaboration with front office stakeholders and ownership across the full software lifecycle. Core Engineering Design, build, and maintain high quality, scalable microservices using Java 21 and modern frameworks. Develop new functionality while evolving existing components with clean, maintainable, well tested code. Apply TDD, good CI/CD practices, and strong engineering standards. Cloud & Platform Modernization Contribute to our cloud migration initiatives by building containerized, cloud ready services. Work with AWS services (e.g., Lambda, EKS, RDS, S3, MSK) to help move workloads off legacy environments. Participate in improving observability through metrics, tracing, and logging. AI & Automation Use applied AI tooling (e.g., GitHub Copilot, MCP servers, and LLMs) to accelerate development, improve testing quality, and streamline operational automation. Identify and implement opportunities for intelligent automation within systems (e.g., anomaly detection, documentation generation, automated runbooks). Business Collaboration Work directly with portfolio managers, traders, and operations teams to deliver high impact solutions. Understand front office workflows and translate them into robust, performant technical designs Required Qualifications 3- 5 years of strong experience with Java (preferably Java 17+; ideally Java 21) and back-end development Familiarity with microservices, REST APIs, and event driven architectures. Some exposure to AWS or cloud native engineering concepts (containers, CI/CD, infrastructure as code). Interest or experience in using AI tools to boost productivity (code generation, test creation, documentation, etc.). A proactive mindset, eagerness to learn, and ability to work in a fast-moving front office environment. Strong communication skills and desire to partner closely with business users. Work on high visibility trading systems critical to PIMCO's Short Term Desk. Gain hands on experience with modern Java, cloud engineering, and applied AI. Collaborate with a talented global engineering team and front office partners. Opportunity to take real ownership - from design and implementation through to production. Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days. Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real-world business problems. Recognize that cross-functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch-and-learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.
Active SC clearance is required for this role. We are hiring for multiple positions. Permanent roles. We will consider contractors with existing clearances on an initial basis. Salary: Market rate - depending on experience A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Required Active SC clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
13/06/2026
Full time
Active SC clearance is required for this role. We are hiring for multiple positions. Permanent roles. We will consider contractors with existing clearances on an initial basis. Salary: Market rate - depending on experience A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Required Active SC clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
Tech Lead - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands on in the codebase, especially when the team is dealing with ambiguity, cross system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models. Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the 'product' is high quality data and you can 'speak the language' of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross functional projects. You can balance hands on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high stakes decision making. Bonus A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field. Experience building and maintaining analytics systems. Experience with Python, Snowflake, or PostgreSQL. Experience working on feature management systems such as feature services or features stores. An understanding of complex data systems, including event sourced data models. The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open minded, so definitely include your salary goals with your application. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year. A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
13/06/2026
Full time
Tech Lead - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands on in the codebase, especially when the team is dealing with ambiguity, cross system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models. Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the 'product' is high quality data and you can 'speak the language' of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross functional projects. You can balance hands on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high stakes decision making. Bonus A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field. Experience building and maintaining analytics systems. Experience with Python, Snowflake, or PostgreSQL. Experience working on feature management systems such as feature services or features stores. An understanding of complex data systems, including event sourced data models. The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open minded, so definitely include your salary goals with your application. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year. A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
Full Stack Developer C#, React, Azure DevOps Hybrid - Poole, Dorset (2 days per week in the office) £45,000 - £50,000 We're looking for a Full Stack Developer to join our agile software team and help build innovative, life critical SaaS solutions for a global security company. You'll play a key role and be involved in all aspects of the Software Development Life Cycle (SDLC) including design, development, testing, deployment, release, and monitoring of applications. In addition to hands on development, this role will take ownership of Azure DevOps pipelines, release management, and site reliability engineering (SRE) practices to ensure smooth, secure, and reliable delivery of our solutions. What You'll Do Design, develop, and maintain full stack applications using React, .NET Core, Entity Framework, RESTful APIs, and GraphQL. Build and enhance CI/CD pipelines to support automated testing, secure builds, and reliable deployments. Apply infrastructure as code practices and DevOps tooling to improve automation and consistency across environments. Work with the team to establish and follow best practices in software engineering, cloud security, and observability. Required Skills Strong experience with .NET Core, C#, Entity Framework, and RESTful API development. Frontend expertise with React (TypeScript preferred). Hands on experience with DevOps (pipelines, builds, releases). Understanding of site reliability engineering principles, including monitoring, logging, and incident response. Familiarity with SQL and relational databases. Knowledge of agile practices (Scrum/Kanban). Desirable skills/qualifications Exposure to infrastructure as code (ARM/Bicep, Terraform, or similar). Experience with GraphQL (consuming or building APIs). Familiarity with Application Insights, Azure Monitor, or similar observability tools. Good understanding of cyber security. If you have the relevant skills for this role and are ready for the challenge, then please send your CV to Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
13/06/2026
Full time
Full Stack Developer C#, React, Azure DevOps Hybrid - Poole, Dorset (2 days per week in the office) £45,000 - £50,000 We're looking for a Full Stack Developer to join our agile software team and help build innovative, life critical SaaS solutions for a global security company. You'll play a key role and be involved in all aspects of the Software Development Life Cycle (SDLC) including design, development, testing, deployment, release, and monitoring of applications. In addition to hands on development, this role will take ownership of Azure DevOps pipelines, release management, and site reliability engineering (SRE) practices to ensure smooth, secure, and reliable delivery of our solutions. What You'll Do Design, develop, and maintain full stack applications using React, .NET Core, Entity Framework, RESTful APIs, and GraphQL. Build and enhance CI/CD pipelines to support automated testing, secure builds, and reliable deployments. Apply infrastructure as code practices and DevOps tooling to improve automation and consistency across environments. Work with the team to establish and follow best practices in software engineering, cloud security, and observability. Required Skills Strong experience with .NET Core, C#, Entity Framework, and RESTful API development. Frontend expertise with React (TypeScript preferred). Hands on experience with DevOps (pipelines, builds, releases). Understanding of site reliability engineering principles, including monitoring, logging, and incident response. Familiarity with SQL and relational databases. Knowledge of agile practices (Scrum/Kanban). Desirable skills/qualifications Exposure to infrastructure as code (ARM/Bicep, Terraform, or similar). Experience with GraphQL (consuming or building APIs). Familiarity with Application Insights, Azure Monitor, or similar observability tools. Good understanding of cyber security. If you have the relevant skills for this role and are ready for the challenge, then please send your CV to Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Job Summary This is a rare opportunity to join a newly created global data modelling lead role, in a growing central data and analytics team. Your key work will be to lead the design and build of governed, reusable global data models that translate enterprise data into business ready dimensions, facts and metrics for consistent reporting, self service reporting, analytics and AI/ML readiness. You will be the bridge between the data team, IT leaders and business leaders: understanding and defining requirements, shaping data products, modelling business logic, and enabling performant, well documented accurate data delivery at a global scale. This work relates predominantly in year one to corporate services data, specifically finance and human resources. You will be the global lead in RES for data modelling and analytics engineering, educating and training regional staff, providing templates and guidance on best practice. Lead working groups with the business/IT and define comprehensive business requirements from stakeholders. From the business requirements assess buy versus build options and if a data platform build is chosen then design the data model in conjunction with IT/data teams and business domain leaders. Once signed off, build, deliver and maintain a comprehensive, scalable data model and lead implementation, optimisation, and scalability. Accountabilities Design global data models aligned to agreed business definitions, KPIs and reporting departments in conjunction with executives, business domains and senior IT leaders. Develop and maintain metric definitions and calculation logic to ensure model consistency across dashboards and reports. Build, deliver and maintain curated data modelling and products with documentation, tests, and versioning. Partner with data governance, architecture, system owners, business domains and cyber to align models to systems schemas, metadata management, business requirements, ownership, and certification/security. Optimise models for performance, quality and usability, ensuring scalable, future proof models are delivered. Collaborate with and lead work with Data Engineers/Architects on upstream transformations and data quality rules, ensuring end to end traceability, lineage and master data management. Collaborate with and lead/advise report developers and end users of the data (business/IT/data practitioners) to make effective use of the models. Support self service enablement: templates, guidance, and guardrails for analysts and report builders. Lead working groups and work with stakeholders to articulate business requirements and model development with IT and business domain leaders. Deliver complex, executive reports to educate and gain buy in and support for business requirements and global data model design. Lead programmes of work and ensure they are run effectively to time, quality standards and meeting budget requirements. Educate and train regional staff and provide templates and guidance on data modelling best practice, as the global lead for data modelling. Be able to lead and enable data modelling for AI/ML use cases by providing quality datasets and impactive data models and advise data scientists on engineering and modelling needs. Skills Strong data modelling expertise: dimensional modelling, business rules, dimensions; data patterns. Ability to define and govern metrics and model consistency across multiple products and source system integrations. SQL mastery and experience with transformation frameworks and testing/documentation practices. SQL, building Star Schema data models and ETL & DAX. Deeply skilled in BI, including semantic layers (e.g., Power BI semantic models) and performance/cost optimisation. Extensive skills in data quality, traceability and observability integrated into modelling workflows. Strong stakeholder skills to translate business requirements into robust data products. Effective communicator with strong influencing, negotiating, and relationship building skills. Ability to articulate modelling to executives. Ability to translate complex data into meaningful insight for non technical audiences. Able to work independently, manage competing priorities, and lead through change. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. High attention to detail, integrity, and commitment to ethical data use. Strong executive written documentation, planning, organisation, prioritisation and design governance, and discipline. Passionate about data and innovative to enable RES to stay ahead of and implement global best practice in modern, scalable and future proof data modelling. It is mandatory that you are highly skilled in global corporate service data modelling, including integrating multiple source systems. You must have knowledge and skills in IFS (RES's enterprise ERP system) and extensive skills in financial and human resources data. Qualifications and Experience Bachelor's degree in Data Analytics, Data Science, or a related field. Significant experience in analytics engineering, semantic modelling and BI/data modelling roles in a global setting. Evidenced high quality, significant quantifiable outcomes from delivering global human resources and finance data modelling. Providing high quality, consistent and highly maintained accurate global finance and HR views which are adopted by executives and used for ongoing decision making - with little re work and high success rate for maintenance year on year - future proof data models. Deep understanding of BI and semantic modelling patterns and how they fit into enterprise architecture, evidence through quantified outcomes of delivery. Proven delivery of reusable semantic layers that improved consistency and reduced duplicated logic across reports. Proven experience of delivering model that realises efficiency savings across global organisations through adoption of data from semantic models, reducing business domains teams manual work and efforts, enabling self service reporting across multiple systems and domains. Experience partnering with and leading Finance/HR and IT teams to define business requirements and modelling schemas and gaining sign off from senior personnel, including KPIs and reporting logic. In depth knowledge and practical implementation of compliance frameworks and global employment regulations as they relate to data modelling and analytics engineering. Knowledge and experience in employing global data standardisation frameworks for harmonising data definitions, taxonomies, and formats across regions. It is mandatory that you have proven experience in data modelling for IFS (RES's enterprise ERP system) and extensive experience in financial and human resources data, corporate services multiple system integration data architecture in a global context. Experience in AI/ML enablement and integration with data and analytics platforms. Strong communication and stakeholder engagement skills, alongside technical breadth in data modelling and analytics engineering. Extensive experience briefing executive leaders and running data and reporting programmes. Working knowledge and experience in AI/ML and automation, as they apply to data modelling, reporting and analytics. Strong executive/senior stakeholder skills to translate business requirements into robust data products. Highly effective communicator (verbal and written) with strong influencing, negotiating, and relationship building experience. Evidenced experience leading workshops and governance forums for data modelling/reporting with senior executives with high quality modelling outcomes. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. Experience as the technical modelling lead for an international organisation. At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
13/06/2026
Full time
Job Summary This is a rare opportunity to join a newly created global data modelling lead role, in a growing central data and analytics team. Your key work will be to lead the design and build of governed, reusable global data models that translate enterprise data into business ready dimensions, facts and metrics for consistent reporting, self service reporting, analytics and AI/ML readiness. You will be the bridge between the data team, IT leaders and business leaders: understanding and defining requirements, shaping data products, modelling business logic, and enabling performant, well documented accurate data delivery at a global scale. This work relates predominantly in year one to corporate services data, specifically finance and human resources. You will be the global lead in RES for data modelling and analytics engineering, educating and training regional staff, providing templates and guidance on best practice. Lead working groups with the business/IT and define comprehensive business requirements from stakeholders. From the business requirements assess buy versus build options and if a data platform build is chosen then design the data model in conjunction with IT/data teams and business domain leaders. Once signed off, build, deliver and maintain a comprehensive, scalable data model and lead implementation, optimisation, and scalability. Accountabilities Design global data models aligned to agreed business definitions, KPIs and reporting departments in conjunction with executives, business domains and senior IT leaders. Develop and maintain metric definitions and calculation logic to ensure model consistency across dashboards and reports. Build, deliver and maintain curated data modelling and products with documentation, tests, and versioning. Partner with data governance, architecture, system owners, business domains and cyber to align models to systems schemas, metadata management, business requirements, ownership, and certification/security. Optimise models for performance, quality and usability, ensuring scalable, future proof models are delivered. Collaborate with and lead work with Data Engineers/Architects on upstream transformations and data quality rules, ensuring end to end traceability, lineage and master data management. Collaborate with and lead/advise report developers and end users of the data (business/IT/data practitioners) to make effective use of the models. Support self service enablement: templates, guidance, and guardrails for analysts and report builders. Lead working groups and work with stakeholders to articulate business requirements and model development with IT and business domain leaders. Deliver complex, executive reports to educate and gain buy in and support for business requirements and global data model design. Lead programmes of work and ensure they are run effectively to time, quality standards and meeting budget requirements. Educate and train regional staff and provide templates and guidance on data modelling best practice, as the global lead for data modelling. Be able to lead and enable data modelling for AI/ML use cases by providing quality datasets and impactive data models and advise data scientists on engineering and modelling needs. Skills Strong data modelling expertise: dimensional modelling, business rules, dimensions; data patterns. Ability to define and govern metrics and model consistency across multiple products and source system integrations. SQL mastery and experience with transformation frameworks and testing/documentation practices. SQL, building Star Schema data models and ETL & DAX. Deeply skilled in BI, including semantic layers (e.g., Power BI semantic models) and performance/cost optimisation. Extensive skills in data quality, traceability and observability integrated into modelling workflows. Strong stakeholder skills to translate business requirements into robust data products. Effective communicator with strong influencing, negotiating, and relationship building skills. Ability to articulate modelling to executives. Ability to translate complex data into meaningful insight for non technical audiences. Able to work independently, manage competing priorities, and lead through change. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. High attention to detail, integrity, and commitment to ethical data use. Strong executive written documentation, planning, organisation, prioritisation and design governance, and discipline. Passionate about data and innovative to enable RES to stay ahead of and implement global best practice in modern, scalable and future proof data modelling. It is mandatory that you are highly skilled in global corporate service data modelling, including integrating multiple source systems. You must have knowledge and skills in IFS (RES's enterprise ERP system) and extensive skills in financial and human resources data. Qualifications and Experience Bachelor's degree in Data Analytics, Data Science, or a related field. Significant experience in analytics engineering, semantic modelling and BI/data modelling roles in a global setting. Evidenced high quality, significant quantifiable outcomes from delivering global human resources and finance data modelling. Providing high quality, consistent and highly maintained accurate global finance and HR views which are adopted by executives and used for ongoing decision making - with little re work and high success rate for maintenance year on year - future proof data models. Deep understanding of BI and semantic modelling patterns and how they fit into enterprise architecture, evidence through quantified outcomes of delivery. Proven delivery of reusable semantic layers that improved consistency and reduced duplicated logic across reports. Proven experience of delivering model that realises efficiency savings across global organisations through adoption of data from semantic models, reducing business domains teams manual work and efforts, enabling self service reporting across multiple systems and domains. Experience partnering with and leading Finance/HR and IT teams to define business requirements and modelling schemas and gaining sign off from senior personnel, including KPIs and reporting logic. In depth knowledge and practical implementation of compliance frameworks and global employment regulations as they relate to data modelling and analytics engineering. Knowledge and experience in employing global data standardisation frameworks for harmonising data definitions, taxonomies, and formats across regions. It is mandatory that you have proven experience in data modelling for IFS (RES's enterprise ERP system) and extensive experience in financial and human resources data, corporate services multiple system integration data architecture in a global context. Experience in AI/ML enablement and integration with data and analytics platforms. Strong communication and stakeholder engagement skills, alongside technical breadth in data modelling and analytics engineering. Extensive experience briefing executive leaders and running data and reporting programmes. Working knowledge and experience in AI/ML and automation, as they apply to data modelling, reporting and analytics. Strong executive/senior stakeholder skills to translate business requirements into robust data products. Highly effective communicator (verbal and written) with strong influencing, negotiating, and relationship building experience. Evidenced experience leading workshops and governance forums for data modelling/reporting with senior executives with high quality modelling outcomes. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. Experience as the technical modelling lead for an international organisation. At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values driven company that invests in its people and gives you the autonomy to shape critical systems? We're looking for a Senior Software Engineer to join Elliptic's Product Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: Architect, design, and implement large scale distributed data systems and pipelines. Contribute to technical decision making across batch and streaming data solutions. Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer focused products. Explore and integrate new technologies (e.g. data orchestration or cloud native tools) to optimise performance and scalability. Take shared ownership of data systems, from design to deployment and ongoing improvement and support. Perform thoughtful peer reviews that raise code quality and share best practices across the team. Contribute to platform wide initiatives that improve reliability, observability, and cost efficiency. Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming We value depth in any modern data ecosystem. If you're strong in equivalent technologies and excited to learn Scala, we'll support you in the transition. You will thrive here if you: Enjoy end to end ownership, from architecture design to coaching others through delivery. Strive for engineering excellence and scalable, sustainable systems. Use data and experimentation to guide decisions. Communicate openly and collaborate across teams. Support and coach less experienced engineers. Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: Ability to design, build, and maintain distributed data systems in a cloud based environment. Hands on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). Knowledge of cloud infrastructure (AWS, GCP, or Azure). Judgement to balance scalability, performance, and maintainability. Experience or interest in functional programming, data modelling, workflow orchestration, or AI driven tools. If you don't meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: Experience in stream processing frameworks and event driven architecture. Hands on experience with Infrastructure as Code (Terraform, CloudFormation). Experience working in containerised environments (Docker, Kubernetes). Interest in crypto and blockchain technologies. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
13/06/2026
Full time
Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values driven company that invests in its people and gives you the autonomy to shape critical systems? We're looking for a Senior Software Engineer to join Elliptic's Product Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: Architect, design, and implement large scale distributed data systems and pipelines. Contribute to technical decision making across batch and streaming data solutions. Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer focused products. Explore and integrate new technologies (e.g. data orchestration or cloud native tools) to optimise performance and scalability. Take shared ownership of data systems, from design to deployment and ongoing improvement and support. Perform thoughtful peer reviews that raise code quality and share best practices across the team. Contribute to platform wide initiatives that improve reliability, observability, and cost efficiency. Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming We value depth in any modern data ecosystem. If you're strong in equivalent technologies and excited to learn Scala, we'll support you in the transition. You will thrive here if you: Enjoy end to end ownership, from architecture design to coaching others through delivery. Strive for engineering excellence and scalable, sustainable systems. Use data and experimentation to guide decisions. Communicate openly and collaborate across teams. Support and coach less experienced engineers. Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: Ability to design, build, and maintain distributed data systems in a cloud based environment. Hands on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). Knowledge of cloud infrastructure (AWS, GCP, or Azure). Judgement to balance scalability, performance, and maintainability. Experience or interest in functional programming, data modelling, workflow orchestration, or AI driven tools. If you don't meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: Experience in stream processing frameworks and event driven architecture. Hands on experience with Infrastructure as Code (Terraform, CloudFormation). Experience working in containerised environments (Docker, Kubernetes). Interest in crypto and blockchain technologies. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
Tech Lead MLOps - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands-on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high-quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands-on in the codebase, especially when the team is dealing with ambiguity, cross-system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential: Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the product is high-quality data and you can speak the language of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross-functional projects. You can balance hands-on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making. Bonus: A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field Experience building and maintaining analytics systems Experience with Python, Snowflake, or PostgreSQL Experience working on feature-management systems such as feature services or features stores An understanding of complex data systems, including event-sourced data models The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
13/06/2026
Full time
Tech Lead MLOps - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands-on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high-quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands-on in the codebase, especially when the team is dealing with ambiguity, cross-system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential: Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the product is high-quality data and you can speak the language of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross-functional projects. You can balance hands-on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making. Bonus: A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field Experience building and maintaining analytics systems Experience with Python, Snowflake, or PostgreSQL Experience working on feature-management systems such as feature services or features stores An understanding of complex data systems, including event-sourced data models The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
About ITRS At ITRS, we make society's critical technology work. Our mission is to deliver automated and holistic IT observability solutions that safeguard critical applications and enable innovation. We are the only monitoring and observability platform designed for the most demanding and regulated industries - trusted by 90% of Tier 1 capital markets firms. We believe when our team thrives, so do our customers. With us, you'll find: A culture that backs you- We're proud to be a Great Place to Work for multiple years in a row due to our inclusive, supportive environment. Work that matters- Make a real difference with 1,000s of global customers in industries that keep the world running, including 9 out of 10 top investment banks. Room to grow- Whether you're starting your career or bringing years of experience, we're committed to your development. Just ask our team members who've been excelling here for 10+ years. With headquarters in London and teams across the US, Europe, and Asia, ITRS combines the agility of a high-impact tech business with the stability of a private equity-backed global partner. Scope of Role This role sits at the heart of ITRS's next chapter. Reporting to our Global Head of Product and GTM Strategy, you will shape the next generation of Digital Experience Monitoring in ITRS, turning complex data into simple, elegant journeys so people act with confidence. Your focus is clarity, speed to insight, and easier adoption, including stronger trial-to-paid conversion in a product-led model. You will build, test, and iterate, using AI where it helps. You will elevate look and feel, and evolve our design system so the platform feels crisp and consistent. If you enjoy hard problems and want your work to change how people act on live data, this is for you. This is a role with real ownership and visibility. You will have a clear voice in what we build. As a Senior Product Designer, you own outcomes, not just deliverables. You stay close to customers and turn insight and technology into a clear design vision. You make complex information easy to read and act on, value craft and consistency, and care about measurable results for users and the business in this individual contributor role. This role offers a hybrid work schedule from our London HQ. As an Senior Product Designer, you will: Turn research and product data into clear problems, hypotheses, and simple journeys. Design intuitive, data-heavy workflows and dashboards that surface insight fast. Create wireframes, prototypes, and high-fidelity UI in Figma, then take it to production. Raise the visual quality of every screen, with clear typography, careful spacing, thoughtful motion, and assured use of colour. Partner with engineers to scope, iterate, and ship, with clear specs and build reviews. Run focused usability tests, share findings, and close the loop with improvements. Improve trials and onboarding so new users see value fast. Tell the story of your work with outcomes and metrics. A strong SaaS portfolio with case studies that show the problem, process, final design, business impact, and refined UI craft. Deep experience in data analytics and visualisation. You lead users to insight with clear information design. 5+ years in product design or UX for web apps. B2B or product-led experience is a bonus. Expert Figma skills and design-system experience. You know components, variants, and Auto Layout. Comfortable with user research. Interviews, task analysis, and usability testing. Excellent interaction and visual design. You sweat the details and ship interfaces that feel effortless. Clear communicator who explains decisions and handles trade-offs well. Someone applying for this role would benefit from experience in monitoring or observability, dashboards for expert users, and basic front-end or prototyping skills. Health Insurance and Dental Health Cover for you and your dependants Employee Assistance Programme Pension Flexible Hybrid Working Enhanced Parental Leave Travel Insurance Life Assurance Income Protection Referral Bonus Buy and Sell Holiday Training Reimbursement ITRS is an Equal Opportunity employer and Inclusion is part of our everyday life. We celebrate diversity and pride ourselves on providing an environment where all employees can be their authentic selves and have a voice, allowing everyone to contribute equally. We remain committed to advocating inclusion, diversity, and equality into our ITRS family as we grow and enrich our business. We welcome applications from everyone in the community as we recognise that a diverse workforce is a stronger workforce.
13/06/2026
Full time
About ITRS At ITRS, we make society's critical technology work. Our mission is to deliver automated and holistic IT observability solutions that safeguard critical applications and enable innovation. We are the only monitoring and observability platform designed for the most demanding and regulated industries - trusted by 90% of Tier 1 capital markets firms. We believe when our team thrives, so do our customers. With us, you'll find: A culture that backs you- We're proud to be a Great Place to Work for multiple years in a row due to our inclusive, supportive environment. Work that matters- Make a real difference with 1,000s of global customers in industries that keep the world running, including 9 out of 10 top investment banks. Room to grow- Whether you're starting your career or bringing years of experience, we're committed to your development. Just ask our team members who've been excelling here for 10+ years. With headquarters in London and teams across the US, Europe, and Asia, ITRS combines the agility of a high-impact tech business with the stability of a private equity-backed global partner. Scope of Role This role sits at the heart of ITRS's next chapter. Reporting to our Global Head of Product and GTM Strategy, you will shape the next generation of Digital Experience Monitoring in ITRS, turning complex data into simple, elegant journeys so people act with confidence. Your focus is clarity, speed to insight, and easier adoption, including stronger trial-to-paid conversion in a product-led model. You will build, test, and iterate, using AI where it helps. You will elevate look and feel, and evolve our design system so the platform feels crisp and consistent. If you enjoy hard problems and want your work to change how people act on live data, this is for you. This is a role with real ownership and visibility. You will have a clear voice in what we build. As a Senior Product Designer, you own outcomes, not just deliverables. You stay close to customers and turn insight and technology into a clear design vision. You make complex information easy to read and act on, value craft and consistency, and care about measurable results for users and the business in this individual contributor role. This role offers a hybrid work schedule from our London HQ. As an Senior Product Designer, you will: Turn research and product data into clear problems, hypotheses, and simple journeys. Design intuitive, data-heavy workflows and dashboards that surface insight fast. Create wireframes, prototypes, and high-fidelity UI in Figma, then take it to production. Raise the visual quality of every screen, with clear typography, careful spacing, thoughtful motion, and assured use of colour. Partner with engineers to scope, iterate, and ship, with clear specs and build reviews. Run focused usability tests, share findings, and close the loop with improvements. Improve trials and onboarding so new users see value fast. Tell the story of your work with outcomes and metrics. A strong SaaS portfolio with case studies that show the problem, process, final design, business impact, and refined UI craft. Deep experience in data analytics and visualisation. You lead users to insight with clear information design. 5+ years in product design or UX for web apps. B2B or product-led experience is a bonus. Expert Figma skills and design-system experience. You know components, variants, and Auto Layout. Comfortable with user research. Interviews, task analysis, and usability testing. Excellent interaction and visual design. You sweat the details and ship interfaces that feel effortless. Clear communicator who explains decisions and handles trade-offs well. Someone applying for this role would benefit from experience in monitoring or observability, dashboards for expert users, and basic front-end or prototyping skills. Health Insurance and Dental Health Cover for you and your dependants Employee Assistance Programme Pension Flexible Hybrid Working Enhanced Parental Leave Travel Insurance Life Assurance Income Protection Referral Bonus Buy and Sell Holiday Training Reimbursement ITRS is an Equal Opportunity employer and Inclusion is part of our everyday life. We celebrate diversity and pride ourselves on providing an environment where all employees can be their authentic selves and have a voice, allowing everyone to contribute equally. We remain committed to advocating inclusion, diversity, and equality into our ITRS family as we grow and enrich our business. We welcome applications from everyone in the community as we recognise that a diverse workforce is a stronger workforce.
Member of Technical Staff - Batched Inference Server About Doubleword Doubleword is a well funded, VC backed startup building an inference platform that provides the cheapest tokens on the market for high volume batch workloads. The technical challenge is substantial. We orchestrate thousands of concurrent batch jobs while maintaining sub second latency queries, all within a system where reliability is non negotiable. We work directly with our users to shape our technical roadmap. Our focus is clear: provide the cheapest and most scalable tokens on the market while maintaining exceptional reliability and developer experience. The Role We are looking for someone who elevates the people around them. Someone genuinely excited by hard problems, who loves discussing technical ideas and makes others better through clarity and energy. Someone who cares deeply about both the craft and the people they practice it with. You will join a small, high trust team with real autonomy. You will take ownership of complex problems and influence how we design, build, test, and ship software. What You'll Be Doing You will build and scale our batched inference platform, a distributed system that handles thousands of concurrent batch jobs across multiple LLM deployments. Rust for core services PostgreSQL for persistent state Kubernetes for deployment and orchestration Core areas of work Database optimization under high load and concurrent access patterns Distributed job scheduling and retry logic Real time observability and monitoring Designing for failure from the start to build reliability into the system What We're Looking For Requirements Technically exceptional - Your skills span domains and technologies. You solve genuinely hard problems and have consistently demonstrated this. Distributed systems experience - You have delivered distributed systems in production. You understand high throughput, highly parallel architectures and can point to concrete examples of excellent work. Pragmatic shipper - You move fast while maintaining stability for a large user base. Humble - You lead by example. You take accountability quickly and say "I don't know" when appropriate. Customer focused - You start from real user problems and deliver technical solutions. You are a problem solver, not a technology purist. Nice to have Experience with our stack: Rust, TypeScript, PostgreSQL, Kubernetes Experience with LLM inference systems or batch processing infrastructure Our Engineering Principles We are technically ambitious. Hard problems energize us. We move fast. Priorities shift and requirements evolve. You should be excited by rapid iteration. We choose pragmatic solutions over clever ones. The right answer beats the interesting answer. We operate in ambiguity. Decisions are made with incomplete information and revised when evidence changes. Interview Process Technical Culture Interview - 30 minute video call with an engineer. We discuss your experience and alignment with our engineering culture. Wider Culture Interview - 30 minute video call with someone outside the tech team. This focuses on company values and how you work with others. Technical Design Interview - 1 hour video call with members of the engineering team. We present a challenge and collaboratively design a system. Paid Day Work Trial - Spend a day working on a real problem from our Batched Inference Server. This gives you a genuine sense of how we operate, and gives us insight into how you approach real world problems. Compensation: $1,000. Offer - If there is strong mutual alignment, we make an offer and you join us on the journey. Apply Email your CV and a short note explaining why this role interests you to
13/06/2026
Full time
Member of Technical Staff - Batched Inference Server About Doubleword Doubleword is a well funded, VC backed startup building an inference platform that provides the cheapest tokens on the market for high volume batch workloads. The technical challenge is substantial. We orchestrate thousands of concurrent batch jobs while maintaining sub second latency queries, all within a system where reliability is non negotiable. We work directly with our users to shape our technical roadmap. Our focus is clear: provide the cheapest and most scalable tokens on the market while maintaining exceptional reliability and developer experience. The Role We are looking for someone who elevates the people around them. Someone genuinely excited by hard problems, who loves discussing technical ideas and makes others better through clarity and energy. Someone who cares deeply about both the craft and the people they practice it with. You will join a small, high trust team with real autonomy. You will take ownership of complex problems and influence how we design, build, test, and ship software. What You'll Be Doing You will build and scale our batched inference platform, a distributed system that handles thousands of concurrent batch jobs across multiple LLM deployments. Rust for core services PostgreSQL for persistent state Kubernetes for deployment and orchestration Core areas of work Database optimization under high load and concurrent access patterns Distributed job scheduling and retry logic Real time observability and monitoring Designing for failure from the start to build reliability into the system What We're Looking For Requirements Technically exceptional - Your skills span domains and technologies. You solve genuinely hard problems and have consistently demonstrated this. Distributed systems experience - You have delivered distributed systems in production. You understand high throughput, highly parallel architectures and can point to concrete examples of excellent work. Pragmatic shipper - You move fast while maintaining stability for a large user base. Humble - You lead by example. You take accountability quickly and say "I don't know" when appropriate. Customer focused - You start from real user problems and deliver technical solutions. You are a problem solver, not a technology purist. Nice to have Experience with our stack: Rust, TypeScript, PostgreSQL, Kubernetes Experience with LLM inference systems or batch processing infrastructure Our Engineering Principles We are technically ambitious. Hard problems energize us. We move fast. Priorities shift and requirements evolve. You should be excited by rapid iteration. We choose pragmatic solutions over clever ones. The right answer beats the interesting answer. We operate in ambiguity. Decisions are made with incomplete information and revised when evidence changes. Interview Process Technical Culture Interview - 30 minute video call with an engineer. We discuss your experience and alignment with our engineering culture. Wider Culture Interview - 30 minute video call with someone outside the tech team. This focuses on company values and how you work with others. Technical Design Interview - 1 hour video call with members of the engineering team. We present a challenge and collaboratively design a system. Paid Day Work Trial - Spend a day working on a real problem from our Batched Inference Server. This gives you a genuine sense of how we operate, and gives us insight into how you approach real world problems. Compensation: $1,000. Offer - If there is strong mutual alignment, we make an offer and you join us on the journey. Apply Email your CV and a short note explaining why this role interests you to
At Katanox we're looking for a Software Engineer to join our team. About Katanox At Katanox, we are building travel's growth engine. We provide financial and distribution infrastructure for the hospitality industry so accommodation suppliers and travel buyers can manage payments, reconciliation, direct contracting, and connectivity on one unified platform. Our purpose is to remove the complexity and fragmentation of hospitality by bringing multiple business operations for hotels and travel buyers together into a single workflow, from bookings to payments. We are headquartered in Amsterdam with hubs in London and New York, and are a fast growing, well funded company building the next generation of infrastructure for hospitality. How we work A cornerstone of our culture is in person collaboration. We follow a "hub" model with unique hubs in Amsterdam, London, and New York, where we regularly collaborate face to face, onboard customers and colleagues, hold design sessions, and host events. We do not hire for strictly remote roles. We expect people to spend meaningful time in our hubs because this is how we maintain our culture, build trust, and move quickly together. As a financially regulated company, we are held to exceptionally high compliance standards. This demands a rigorous approach to collaboration, security, and decision making. Our values Team over the individual, no ego We put the success of the whole team ahead of individual agendas. We win together, share credit, and leave egos at the door. Data beats excitement We welcome bold ideas, but we commit based on evidence. We use data, experimentation, and clear hypotheses to decide what to build. Dare to do We are proactive, take smart risks, and move from talking to doing. We learn by shipping and improve through iteration. See it, own it, and close it When we spot a problem or opportunity, we take responsibility to drive it to completion instead of assuming someone else will. We apply radical candor We care personally and challenge directly. We give and receive honest feedback so we can grow faster as individuals and as a team. In person first, call second We prioritise in person collaboration in our hubs to build trust, move quickly, and solve hard problems together. Build collaboratively We actively involve the right people, share context early, and co create solutions across teams and disciplines. Iterate fast and pragmatically We ship small, learn quickly, and avoid over engineering. We focus on solutions that work in reality, not just in theory. About the role We are looking for a Software Engineer to help us build and scale the platform that powers travel's growth engine. You will work closely with product, design, and other engineers to ship high impact features across our financial and distribution products, and to improve the reliability, performance, and security of our platform. What you will work on Design, build, and maintain core services and user facing features. Collaborate with product managers and designers to understand customer problems and translate them into technical solutions. Improve performance, reliability, and observability of our systems as we scale across multiple markets. Contribute to technical design discussions and help evolve our architecture in a regulated, high compliance environment. Help maintain a high bar on engineering quality through code reviews, testing, and documentation. What we are looking for Solid experience in Kotlin/Java. Experience in software engineering, building and maintaining production systems. Ability to turn complex, ambiguous problems into simple and robust solutions. You are able to write well defined unit/integration tests. You have high sense of quality code and community best practices. You understand data structures, algorithms and software design. Fluency in English. Why join Katanox Real impact on a complex industry You will help reshape how hotels and travel buyers work together by removing fragmentation and complexity in distribution and payments. High trust, collaborative culture You will join a team that values in person collaboration, clear communication, and accountability, while still supporting flexibility in how you do your best work. Growth stage environment We are growing fast, providing the opportunity to take significant ownership and see your work directly influence product and business outcomes. International hubs Work with colleagues and partners across Amsterdam, London, and New York, and be part of a truly international company. Apply for the job Do you want to join our team as our new Software Engineer? Then we'd love to hear about you!
13/06/2026
Full time
At Katanox we're looking for a Software Engineer to join our team. About Katanox At Katanox, we are building travel's growth engine. We provide financial and distribution infrastructure for the hospitality industry so accommodation suppliers and travel buyers can manage payments, reconciliation, direct contracting, and connectivity on one unified platform. Our purpose is to remove the complexity and fragmentation of hospitality by bringing multiple business operations for hotels and travel buyers together into a single workflow, from bookings to payments. We are headquartered in Amsterdam with hubs in London and New York, and are a fast growing, well funded company building the next generation of infrastructure for hospitality. How we work A cornerstone of our culture is in person collaboration. We follow a "hub" model with unique hubs in Amsterdam, London, and New York, where we regularly collaborate face to face, onboard customers and colleagues, hold design sessions, and host events. We do not hire for strictly remote roles. We expect people to spend meaningful time in our hubs because this is how we maintain our culture, build trust, and move quickly together. As a financially regulated company, we are held to exceptionally high compliance standards. This demands a rigorous approach to collaboration, security, and decision making. Our values Team over the individual, no ego We put the success of the whole team ahead of individual agendas. We win together, share credit, and leave egos at the door. Data beats excitement We welcome bold ideas, but we commit based on evidence. We use data, experimentation, and clear hypotheses to decide what to build. Dare to do We are proactive, take smart risks, and move from talking to doing. We learn by shipping and improve through iteration. See it, own it, and close it When we spot a problem or opportunity, we take responsibility to drive it to completion instead of assuming someone else will. We apply radical candor We care personally and challenge directly. We give and receive honest feedback so we can grow faster as individuals and as a team. In person first, call second We prioritise in person collaboration in our hubs to build trust, move quickly, and solve hard problems together. Build collaboratively We actively involve the right people, share context early, and co create solutions across teams and disciplines. Iterate fast and pragmatically We ship small, learn quickly, and avoid over engineering. We focus on solutions that work in reality, not just in theory. About the role We are looking for a Software Engineer to help us build and scale the platform that powers travel's growth engine. You will work closely with product, design, and other engineers to ship high impact features across our financial and distribution products, and to improve the reliability, performance, and security of our platform. What you will work on Design, build, and maintain core services and user facing features. Collaborate with product managers and designers to understand customer problems and translate them into technical solutions. Improve performance, reliability, and observability of our systems as we scale across multiple markets. Contribute to technical design discussions and help evolve our architecture in a regulated, high compliance environment. Help maintain a high bar on engineering quality through code reviews, testing, and documentation. What we are looking for Solid experience in Kotlin/Java. Experience in software engineering, building and maintaining production systems. Ability to turn complex, ambiguous problems into simple and robust solutions. You are able to write well defined unit/integration tests. You have high sense of quality code and community best practices. You understand data structures, algorithms and software design. Fluency in English. Why join Katanox Real impact on a complex industry You will help reshape how hotels and travel buyers work together by removing fragmentation and complexity in distribution and payments. High trust, collaborative culture You will join a team that values in person collaboration, clear communication, and accountability, while still supporting flexibility in how you do your best work. Growth stage environment We are growing fast, providing the opportunity to take significant ownership and see your work directly influence product and business outcomes. International hubs Work with colleagues and partners across Amsterdam, London, and New York, and be part of a truly international company. Apply for the job Do you want to join our team as our new Software Engineer? Then we'd love to hear about you!
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Mission We're looking for a hands-on Senior AI Platform Engineer to build the foundations of how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to build and scale the Agentic stack within this wider ecosystem. You will implement a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably. You will own delivery of key workstreams within our platform's critical infrastructure. You have practical experience running agents in production and understand the failure modes ("scar tissue"). You are familiar with emerging open standards (such as MCP, A2A, and ACP) and have experience with patterns like durable execution and agent memory. You are passionate about building a world-class developer experience. Core Responsibilities You will own key workstreams within our Agentic ecosystem. Full-Stack Observability: Implement deep tracing and cost tracking to ensure visibility across the agent lifecycle. Deployment Patterns: Build tooling that simplifies auth, discoverability, and resource management for deployed agents. Sandboxing Implementation: Implement secure runtime environments that isolate agents and enforce safety policies. Systematic Evals: Build the feedback loops that allow domain experts to annotate traces and generate evaluation datasets. Enterprise Governance: Apply identity and access controls (RBAC, OIDC) to ensure agents act securely in a multi-tenant environment. The Tech Stack Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform. Observability & Evals: OTel, LangSmith, Arize, Braintrust. Who You Are A Systems Builder: You care about code quality, reliability, and maintainability. You prefer boring, working solutions over complex, fragile ones. Platform-First: You care deeply about the Developer Experience (DevEx). You build tools that help other engineers move faster. Security-Minded: You understand the risks of executing LLM-generated code and implementing proper safeguards. Qualifications Platform & Backend Foundations: 3+ years of experience in Platform Engineering, Backend, or SRE. Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform). Agentic & AI Engineering: Production experience designing Agentic architectures (chains, tools, memory). Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution. Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking. Bonus Points Background in Engineering workflows or simulation platforms. Experience building internal developer platforms (IDPs). We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
13/06/2026
Full time
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Mission We're looking for a hands-on Senior AI Platform Engineer to build the foundations of how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to build and scale the Agentic stack within this wider ecosystem. You will implement a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably. You will own delivery of key workstreams within our platform's critical infrastructure. You have practical experience running agents in production and understand the failure modes ("scar tissue"). You are familiar with emerging open standards (such as MCP, A2A, and ACP) and have experience with patterns like durable execution and agent memory. You are passionate about building a world-class developer experience. Core Responsibilities You will own key workstreams within our Agentic ecosystem. Full-Stack Observability: Implement deep tracing and cost tracking to ensure visibility across the agent lifecycle. Deployment Patterns: Build tooling that simplifies auth, discoverability, and resource management for deployed agents. Sandboxing Implementation: Implement secure runtime environments that isolate agents and enforce safety policies. Systematic Evals: Build the feedback loops that allow domain experts to annotate traces and generate evaluation datasets. Enterprise Governance: Apply identity and access controls (RBAC, OIDC) to ensure agents act securely in a multi-tenant environment. The Tech Stack Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform. Observability & Evals: OTel, LangSmith, Arize, Braintrust. Who You Are A Systems Builder: You care about code quality, reliability, and maintainability. You prefer boring, working solutions over complex, fragile ones. Platform-First: You care deeply about the Developer Experience (DevEx). You build tools that help other engineers move faster. Security-Minded: You understand the risks of executing LLM-generated code and implementing proper safeguards. Qualifications Platform & Backend Foundations: 3+ years of experience in Platform Engineering, Backend, or SRE. Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform). Agentic & AI Engineering: Production experience designing Agentic architectures (chains, tools, memory). Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution. Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking. Bonus Points Background in Engineering workflows or simulation platforms. Experience building internal developer platforms (IDPs). We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Mission We're looking for a hands on Senior Applied AI Engineer to build the AI agents that transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the advanced workflows that power next generation simulation and design tools used by industry leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to build advanced Agentic workflows that drive real value for our customers across the Engineering industry. Core Responsibilities You will work with our product teams and customers to build and deploy agentic functionality directly into our platform, as well as deeply integrate our capabilities into how our customers operate. You are an expert in building and orchestrating AI Agents. You know how to chain LLMs, tools, and data to solve complex reasoning tasks. You aggressively dogfood our tools to build production solutions, and you provide direct feedback to improve the Developer Experience. Collaborative: You excel at partnering with domain experts (e.g. Physicists) to understand their mental models and codify them into agents. Core Responsibilities You will be the tip of the spear for our Agentic capabilities, proving what is possible and helping us productise it. Be "Customer Zero": Aggressively dogfood our internal platform. If the Developer Experience hurts, you are the first to flag it and help fix it. Build Advanced Agentic Workflows: Design and implement complex agents that leverage our surrogates and simulation tools to solve specific customer problems. Drive Product Strategy: Use your direct experience building solutions to identify common patterns across customers. You will help decide what functionality belongs in the platform vs. what stays in the application layer. Rigorous Evals & Tracing: You don't just ship "vibes." You implement systematic evaluation loops and deep tracing to prove that your agents are reliable, robust, and improving over time. The Tech Stack Languages: Python (Primary), Go or TypeScript (Secondary). Agentic Infrastructure: Agentic Frameworks, Vector DBs Observability: OTel, Agent Tracing / Evaluations tooling Who You Are A Builder First: You judge your success by shipping working agents that solve real problems in production, not just by writing design docs. Strategic & Broad: You don't just solve the problem in front of you; you look for the "generalisable proof-point" that informs the broader platform strategy. Empirical: You value systematic measurement over intuition. You believe that if you can't trace it and eval it, you can't ship it. Agentic Native: You have a deep spike in Agentic Systems. You are comfortable working with domain experts to translate their knowledge into deterministic tools and workflows. Qualifications 3+ years of experience in Applied AI, ML Engineering, or Software Engineering. Proven experience building and deploying AI Agents or complex LLM workflows in production. Demonstrated ability to collaborate with Domain Experts to solve complex, domain specific problems. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
13/06/2026
Full time
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Mission We're looking for a hands on Senior Applied AI Engineer to build the AI agents that transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the advanced workflows that power next generation simulation and design tools used by industry leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to build advanced Agentic workflows that drive real value for our customers across the Engineering industry. Core Responsibilities You will work with our product teams and customers to build and deploy agentic functionality directly into our platform, as well as deeply integrate our capabilities into how our customers operate. You are an expert in building and orchestrating AI Agents. You know how to chain LLMs, tools, and data to solve complex reasoning tasks. You aggressively dogfood our tools to build production solutions, and you provide direct feedback to improve the Developer Experience. Collaborative: You excel at partnering with domain experts (e.g. Physicists) to understand their mental models and codify them into agents. Core Responsibilities You will be the tip of the spear for our Agentic capabilities, proving what is possible and helping us productise it. Be "Customer Zero": Aggressively dogfood our internal platform. If the Developer Experience hurts, you are the first to flag it and help fix it. Build Advanced Agentic Workflows: Design and implement complex agents that leverage our surrogates and simulation tools to solve specific customer problems. Drive Product Strategy: Use your direct experience building solutions to identify common patterns across customers. You will help decide what functionality belongs in the platform vs. what stays in the application layer. Rigorous Evals & Tracing: You don't just ship "vibes." You implement systematic evaluation loops and deep tracing to prove that your agents are reliable, robust, and improving over time. The Tech Stack Languages: Python (Primary), Go or TypeScript (Secondary). Agentic Infrastructure: Agentic Frameworks, Vector DBs Observability: OTel, Agent Tracing / Evaluations tooling Who You Are A Builder First: You judge your success by shipping working agents that solve real problems in production, not just by writing design docs. Strategic & Broad: You don't just solve the problem in front of you; you look for the "generalisable proof-point" that informs the broader platform strategy. Empirical: You value systematic measurement over intuition. You believe that if you can't trace it and eval it, you can't ship it. Agentic Native: You have a deep spike in Agentic Systems. You are comfortable working with domain experts to translate their knowledge into deterministic tools and workflows. Qualifications 3+ years of experience in Applied AI, ML Engineering, or Software Engineering. Proven experience building and deploying AI Agents or complex LLM workflows in production. Demonstrated ability to collaborate with Domain Experts to solve complex, domain specific problems. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
About MILE MILE is the new members-only shopping destination redefining luxury commerce. We offer access to a curated, seasonless catalogue of the most sought-after products from globally renowned fashion houses-all at unmatched prices. Built at the intersection of technology and fashion, MILE delivers a seamless, elevated experience for both consumers and brands. Our mission is to become the leading digital destination for luxury-where exclusivity, value, and exceptional design converge. What We're Looking For We're looking for a Senior React Native Engineer to join our core engineering team. This is a high-impact, high-ownership role: you'll be building the mobile experience that defines what luxury commerce feels like on a phone. You won't be consuming a design system - you'll be authoring one. You won't be integrating a checkout - you'll be owning it end to end, from gesture to payment confirmation. This role is for someone who holds themselves and their work to an unusually high standard. If you've spent years making React Native apps feel indistinguishable from native, care deeply about interaction quality, and know the difference between code that works and code that's right - this is the role for you. What You'll Do Own and evolve our Tamagui-powered cross-platform design system - extending base components, token architecture, themed variants, and platform-specific behavior across iOS, Android, and web Build and maintain complex, gesture-driven UX flows that feel genuinely native on both platforms - including animations, haptics, swipe interactions, and transitions that meet a luxury bar Architect and implement efficient component hierarchies with disciplined re-render control - leveraging Zustand, Redux selectors, and React Compiler's automatic memoization model Work within and extend our Orval-generated TanStack Query v5 API layer - understanding the codegen contract, managing cache strategies, and handling offline-first persistence with MMKV Own payment flows end to end - Stripe React Native SDK, Apple Pay, Google Pay, and the native payment sheet UX that makes or breaks checkout conversion Integrate and maintain native modules - bridging JS and native layers, debugging across the JSI/Fabric boundary, and handling library compatibility in the new architecture Own our EAS build pipeline across development, internal, and store profiles for both QA and production environments, including OTA update channel management Drive Android polish to the same standard as iOS - predictive back gesture, ripple behavior, elevation model, font rendering, and status bar handling Contribute to and enforce best practices around component architecture, dependency management, and cycle detection using our existing tooling (madge, dependency-cruiser) Work closely with design to pixel-match implemented components against specs, and push back or propose when implementation constraints require a better solution Mentor junior and mid-level engineers, conduct thorough code reviews, and raise the quality bar across the mobile codebase Who You Are React Native & Architecture 6+ years of professional React Native experience shipping to production on both iOS and Android Deep understanding of the new RN architecture - JSI, Fabric, TurboModules - and what it means for synchronous native calls, bridging strategy, and third-party library compatibility Proven experience authoring or deeply extending a compile-time UI kit (Tamagui, NativeWind, or equivalent) - not just consuming components but owning the token system, variant model, and platform override layer Strong grasp of React's reconciliation model and a principled approach to re-render elimination - including selector patterns, referential equality, and understanding what React Compiler automates vs. what it doesn't Animations & Native Feel Expert-level Reanimated 3 - worklets, useSharedValue, useAnimatedStyle, useAnimatedScrollHandler, shared element transitions, and gesture-coupled animation state via Gesture Handler 2 Experience designing and implementing haptic feedback as a first-class interaction tool - not incidental calls but a considered approach to timing, intensity, and platform differences between iOS's Taptic Engine and Android's vibration API Demonstrated ability to make Android feel genuinely native - this is a hard bar that most RN engineers don't meet. Predictive back, edge-to-edge layouts, Material ripple, elevation shadows, and type rendering all count Data, API & State Deep experience with TanStack Query v5 - including persistence strategies using react-query-persist-client, stale-while-revalidate cache design, and offline-first hydration patterns Comfortable working within a codegen API layer (Orval or equivalent) - understanding the OpenAPI contract, extending generated hooks without breaking the pipeline, and knowing when to step outside it Solid understanding of layered storage architecture - in-memory state, MMKV for performance-critical persistence, redux-persist for structured app state, and secure storage for sensitive data. Knowing when to use each and why Payments & Native Integrations Production experience with the Stripe React Native SDK - payment intents, setup intents, payment sheet customization, and 3DS handling Experience integrating Apple Pay and Google Pay - including entitlement configuration, merchant validation, and the native payment sheet UX Hands-on experience writing or debugging native modules - whether bridging existing native SDKs, resolving CocoaPods/Gradle conflicts, or debugging issues that only surface at the native layer Build, Delivery & Tooling Deep familiarity with the Expo/EAS ecosystem - prebuild lifecycle, build profile configuration, OTA update channels, and diagnosing build failures that only surface in CI Experience with on-device Storybook workflows for component development and design QA Comfortable with dependency graph tooling (madge, dependency-cruiser) and proactive about preventing circular dependency accumulation in large codebases Bonus Points Experience integrating analytics and observability at the component level - PostHog funnels, Datadog RUM, Bugsnag with source map upload pipelines Familiarity with Branch deep linking - short link creation, universal link configuration, AASA setup, and debugging link resolution failures Experience with push notification pipelines spanning OneSignal, Klaviyo, and Firebase - including segmentation, in-app messaging, and delivery debugging Exposure to Appium/WebdriverIO for mobile automation on real devices Passion for fashion, luxury, or consumer product - genuine care about the end user experience goes a long way here Why Join MILE Opportunity to play a key role in shaping the future of the company. Collaborative and innovative work environment. Career growth opportunities in a fast-growing organisation. Let's build something people talk about. Together.
13/06/2026
Full time
About MILE MILE is the new members-only shopping destination redefining luxury commerce. We offer access to a curated, seasonless catalogue of the most sought-after products from globally renowned fashion houses-all at unmatched prices. Built at the intersection of technology and fashion, MILE delivers a seamless, elevated experience for both consumers and brands. Our mission is to become the leading digital destination for luxury-where exclusivity, value, and exceptional design converge. What We're Looking For We're looking for a Senior React Native Engineer to join our core engineering team. This is a high-impact, high-ownership role: you'll be building the mobile experience that defines what luxury commerce feels like on a phone. You won't be consuming a design system - you'll be authoring one. You won't be integrating a checkout - you'll be owning it end to end, from gesture to payment confirmation. This role is for someone who holds themselves and their work to an unusually high standard. If you've spent years making React Native apps feel indistinguishable from native, care deeply about interaction quality, and know the difference between code that works and code that's right - this is the role for you. What You'll Do Own and evolve our Tamagui-powered cross-platform design system - extending base components, token architecture, themed variants, and platform-specific behavior across iOS, Android, and web Build and maintain complex, gesture-driven UX flows that feel genuinely native on both platforms - including animations, haptics, swipe interactions, and transitions that meet a luxury bar Architect and implement efficient component hierarchies with disciplined re-render control - leveraging Zustand, Redux selectors, and React Compiler's automatic memoization model Work within and extend our Orval-generated TanStack Query v5 API layer - understanding the codegen contract, managing cache strategies, and handling offline-first persistence with MMKV Own payment flows end to end - Stripe React Native SDK, Apple Pay, Google Pay, and the native payment sheet UX that makes or breaks checkout conversion Integrate and maintain native modules - bridging JS and native layers, debugging across the JSI/Fabric boundary, and handling library compatibility in the new architecture Own our EAS build pipeline across development, internal, and store profiles for both QA and production environments, including OTA update channel management Drive Android polish to the same standard as iOS - predictive back gesture, ripple behavior, elevation model, font rendering, and status bar handling Contribute to and enforce best practices around component architecture, dependency management, and cycle detection using our existing tooling (madge, dependency-cruiser) Work closely with design to pixel-match implemented components against specs, and push back or propose when implementation constraints require a better solution Mentor junior and mid-level engineers, conduct thorough code reviews, and raise the quality bar across the mobile codebase Who You Are React Native & Architecture 6+ years of professional React Native experience shipping to production on both iOS and Android Deep understanding of the new RN architecture - JSI, Fabric, TurboModules - and what it means for synchronous native calls, bridging strategy, and third-party library compatibility Proven experience authoring or deeply extending a compile-time UI kit (Tamagui, NativeWind, or equivalent) - not just consuming components but owning the token system, variant model, and platform override layer Strong grasp of React's reconciliation model and a principled approach to re-render elimination - including selector patterns, referential equality, and understanding what React Compiler automates vs. what it doesn't Animations & Native Feel Expert-level Reanimated 3 - worklets, useSharedValue, useAnimatedStyle, useAnimatedScrollHandler, shared element transitions, and gesture-coupled animation state via Gesture Handler 2 Experience designing and implementing haptic feedback as a first-class interaction tool - not incidental calls but a considered approach to timing, intensity, and platform differences between iOS's Taptic Engine and Android's vibration API Demonstrated ability to make Android feel genuinely native - this is a hard bar that most RN engineers don't meet. Predictive back, edge-to-edge layouts, Material ripple, elevation shadows, and type rendering all count Data, API & State Deep experience with TanStack Query v5 - including persistence strategies using react-query-persist-client, stale-while-revalidate cache design, and offline-first hydration patterns Comfortable working within a codegen API layer (Orval or equivalent) - understanding the OpenAPI contract, extending generated hooks without breaking the pipeline, and knowing when to step outside it Solid understanding of layered storage architecture - in-memory state, MMKV for performance-critical persistence, redux-persist for structured app state, and secure storage for sensitive data. Knowing when to use each and why Payments & Native Integrations Production experience with the Stripe React Native SDK - payment intents, setup intents, payment sheet customization, and 3DS handling Experience integrating Apple Pay and Google Pay - including entitlement configuration, merchant validation, and the native payment sheet UX Hands-on experience writing or debugging native modules - whether bridging existing native SDKs, resolving CocoaPods/Gradle conflicts, or debugging issues that only surface at the native layer Build, Delivery & Tooling Deep familiarity with the Expo/EAS ecosystem - prebuild lifecycle, build profile configuration, OTA update channels, and diagnosing build failures that only surface in CI Experience with on-device Storybook workflows for component development and design QA Comfortable with dependency graph tooling (madge, dependency-cruiser) and proactive about preventing circular dependency accumulation in large codebases Bonus Points Experience integrating analytics and observability at the component level - PostHog funnels, Datadog RUM, Bugsnag with source map upload pipelines Familiarity with Branch deep linking - short link creation, universal link configuration, AASA setup, and debugging link resolution failures Experience with push notification pipelines spanning OneSignal, Klaviyo, and Firebase - including segmentation, in-app messaging, and delivery debugging Exposure to Appium/WebdriverIO for mobile automation on real devices Passion for fashion, luxury, or consumer product - genuine care about the end user experience goes a long way here Why Join MILE Opportunity to play a key role in shaping the future of the company. Collaborative and innovative work environment. Career growth opportunities in a fast-growing organisation. Let's build something people talk about. Together.
About the Role As a Software Engineer IC2 (Mid Level) in the Shopping Experience team, you will build experiences that drive customers to the right deals and guide them through a simple, intuitive journey to build a holiday package perfectly tailored to their needs. What you'll be doing day to day At On the Beach, our Shopping Experience team owns the end to end journey from landing page to package build, helping millions of customers discover great deals and confidently customise their perfect holiday. We present package holidays clearly and informatively and manage the customisation options that allow customers to tailor their packages. We control the technical CMS features powering our home and landing pages and work with marketing to maximise effectiveness by highlighting promotions and merchandising to boost conversion. Our mission is to empower customers to build a package perfectly tailored to their needs, through a simple and intuitive path. You'll be a great addition to our team if you have the following skills, knowledge and experience Building scalable full stack applications and customer facing platforms, particularly landing pages and content driven experiences Strong frontend engineering skills using modern web technologies and frameworks Developing backend APIs and distributed systems Building performant, accessible and reliable user experiences - with an understanding of Core Web Vitals Working with CMS platforms and tooling to support content and page generation at scale Using experimentation, analytics and customer insights to guide decisions Collaborating with product, design and commercial/marketing teams Making pragmatic engineering decisions in fast moving environments Interest in AI assisted engineering, agentic coding workflows and modern developer tooling Experience with React, TypeScript, .NET, APIs, AWS and observability tooling is beneficial. What to expect from our interview process After a call with our Talent Team, we'll run a three stage interview process which will all be virtual and consist of: 30 minute Hiring Manager call 60 minute Behavioural with an Engineering Manager & Senior Engineer 60 minute Tech Pairing exercise with a Senior Engineer & IC2 Engineer Ways of working Our full time hours are 37.5 per week, but we don't have rigid working hours so you can find the working pattern that's right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work. We also have hybrid working so you can work from home and from our Aeroworks office in Manchester City Centre. You'll be in the office one day every two weeks, and you're more than welcome to come in more if you'd like. Our benefits We offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues. 25 days holiday plus your birthday off Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you're away on your On the Beach package holiday Access to Learnerbly learning platform, plus workshops, courses and professional qualifications Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support Employee Assistance Programme and free access to counselling Simplyhealth Optimise Health Plan Company Sick Pay scheme Regular wellbeing events Gym discount Share Incentive Plan (SIP) Death in Service cover Onsite subsidised coffee shop The Sandbox (our very own bar) Food and drink discounts across a number of venues in Manchester City Centre Regular social events Cycle to Work scheme
13/06/2026
Full time
About the Role As a Software Engineer IC2 (Mid Level) in the Shopping Experience team, you will build experiences that drive customers to the right deals and guide them through a simple, intuitive journey to build a holiday package perfectly tailored to their needs. What you'll be doing day to day At On the Beach, our Shopping Experience team owns the end to end journey from landing page to package build, helping millions of customers discover great deals and confidently customise their perfect holiday. We present package holidays clearly and informatively and manage the customisation options that allow customers to tailor their packages. We control the technical CMS features powering our home and landing pages and work with marketing to maximise effectiveness by highlighting promotions and merchandising to boost conversion. Our mission is to empower customers to build a package perfectly tailored to their needs, through a simple and intuitive path. You'll be a great addition to our team if you have the following skills, knowledge and experience Building scalable full stack applications and customer facing platforms, particularly landing pages and content driven experiences Strong frontend engineering skills using modern web technologies and frameworks Developing backend APIs and distributed systems Building performant, accessible and reliable user experiences - with an understanding of Core Web Vitals Working with CMS platforms and tooling to support content and page generation at scale Using experimentation, analytics and customer insights to guide decisions Collaborating with product, design and commercial/marketing teams Making pragmatic engineering decisions in fast moving environments Interest in AI assisted engineering, agentic coding workflows and modern developer tooling Experience with React, TypeScript, .NET, APIs, AWS and observability tooling is beneficial. What to expect from our interview process After a call with our Talent Team, we'll run a three stage interview process which will all be virtual and consist of: 30 minute Hiring Manager call 60 minute Behavioural with an Engineering Manager & Senior Engineer 60 minute Tech Pairing exercise with a Senior Engineer & IC2 Engineer Ways of working Our full time hours are 37.5 per week, but we don't have rigid working hours so you can find the working pattern that's right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work. We also have hybrid working so you can work from home and from our Aeroworks office in Manchester City Centre. You'll be in the office one day every two weeks, and you're more than welcome to come in more if you'd like. Our benefits We offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues. 25 days holiday plus your birthday off Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you're away on your On the Beach package holiday Access to Learnerbly learning platform, plus workshops, courses and professional qualifications Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support Employee Assistance Programme and free access to counselling Simplyhealth Optimise Health Plan Company Sick Pay scheme Regular wellbeing events Gym discount Share Incentive Plan (SIP) Death in Service cover Onsite subsidised coffee shop The Sandbox (our very own bar) Food and drink discounts across a number of venues in Manchester City Centre Regular social events Cycle to Work scheme
Automation Test Engineer - Hybrid Working - London - 2 days a week on site. Financial Services Lorien's leading banking client is looking for a skilled Automation Test Engineer with strong experience of with Rest API testing in Java to join our London-based team. The ideal candidate will have strong experience of working with CI/CD Environments, Rest API And Kafka Events. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Experience & Ways of Working Hands on experience with Continuous Integration and Continuous Delivery (CI/CD) environments. Experience working in TDD and BDD driven teams, applying Red-Green-Refactor practices. Experience with pair programming and close collaboration with developers. Experience in performance engineering, supporting profiling and tuning to identify performance hotspots and prevent regressions early. Monitor and analyse p95/p99 latency trends to ensure performance stability and help identify regressions introduced by changes. Exposure to accessibility testing and usability considerations, ensuring inclusive and user friendly experiences. Comfortable working in highly collaborative environments, where development and testing happen alongside the engineering community. Quality Engineering Responsibilities Implement and maintain TDD aligned unit tests, component/integration tests, and consumer driven contract tests (PACT) for REST APIs and Kafka events. Curate a minimal, meaningful end to end (E2E) test suite for critical user journeys and actively eliminate flaky tests. Plan and execute exploratory testing using charters, and convert valuable, repeatable findings into automated tests. Monitor and continuously improve pipeline health (flakiness, execution time, stability) and overall test effectiveness. Apply systems thinking, a bias for small tests, strong facilitation skills, clear written communication, and pragmatic decision making. Partner with product and engineering to convert requirements into clear, testable acceptance criteria and executable examples. Integrate security checks (SAST, dependency/SBOM) into CI pipelines and work with teams to drive remediation. Support operational readiness by helping maintain runbooks and observability standards. Coach engineers in XP practices (pairing, refactoring, trunk based development) and foster a continuous learning culture. Tools & Technologies JUnit 5, Mockito, AssertJ, PIT (mutation testing), WireMock (where appropriate). Contract Testing PACT (REST APIs and Kafka events), Pact Broker. Performance Testing k6 or Gatling (performance smoke tests and baseline validation). CI/CD & Delivery Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
13/06/2026
Full time
Automation Test Engineer - Hybrid Working - London - 2 days a week on site. Financial Services Lorien's leading banking client is looking for a skilled Automation Test Engineer with strong experience of with Rest API testing in Java to join our London-based team. The ideal candidate will have strong experience of working with CI/CD Environments, Rest API And Kafka Events. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Experience & Ways of Working Hands on experience with Continuous Integration and Continuous Delivery (CI/CD) environments. Experience working in TDD and BDD driven teams, applying Red-Green-Refactor practices. Experience with pair programming and close collaboration with developers. Experience in performance engineering, supporting profiling and tuning to identify performance hotspots and prevent regressions early. Monitor and analyse p95/p99 latency trends to ensure performance stability and help identify regressions introduced by changes. Exposure to accessibility testing and usability considerations, ensuring inclusive and user friendly experiences. Comfortable working in highly collaborative environments, where development and testing happen alongside the engineering community. Quality Engineering Responsibilities Implement and maintain TDD aligned unit tests, component/integration tests, and consumer driven contract tests (PACT) for REST APIs and Kafka events. Curate a minimal, meaningful end to end (E2E) test suite for critical user journeys and actively eliminate flaky tests. Plan and execute exploratory testing using charters, and convert valuable, repeatable findings into automated tests. Monitor and continuously improve pipeline health (flakiness, execution time, stability) and overall test effectiveness. Apply systems thinking, a bias for small tests, strong facilitation skills, clear written communication, and pragmatic decision making. Partner with product and engineering to convert requirements into clear, testable acceptance criteria and executable examples. Integrate security checks (SAST, dependency/SBOM) into CI pipelines and work with teams to drive remediation. Support operational readiness by helping maintain runbooks and observability standards. Coach engineers in XP practices (pairing, refactoring, trunk based development) and foster a continuous learning culture. Tools & Technologies JUnit 5, Mockito, AssertJ, PIT (mutation testing), WireMock (where appropriate). Contract Testing PACT (REST APIs and Kafka events), Pact Broker. Performance Testing k6 or Gatling (performance smoke tests and baseline validation). CI/CD & Delivery Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Description As a Senior DevOps Engineer, you will join a substantial global engineering organisation and work in a team of highly skilled engineers in the SaaS platform area. You will be part of a team that follows Agile methodologies to deliver market-leading insurance solutions. This is a new position created as the organisation continues to grow and accelerate the delivery of innovative solutions that harness the latest advances in technology. The role is to work on the evolution of the SaaS delivery platform for WTW's flagship product Radar Live SaaS. You will have worked on large scale and globally deployed SaaS applications that have a mature stack management capability. A sound technical background is essential to be successful in this role with experience in delivering large scale Cloud services. The ideal candidate will enjoy building automated, environment-agnostic cloud platforms. Have strong troubleshooting and operational instincts. Prefer IaC and policy-driven automation over manual work. Be comfortable working across Dev, Ops, Security, and Architecture. Can balance reliability, quality, speed, and practical engineering trade-offs. The Role As a Senior DevOps Engineer, you will be expected to: Infrastructure-as-Code (IaC) Maintain and extend IaC modules using OpenTofu (Terraform fork). Implement reusable, parameterized templates for Azure infrastructure. Automate environment provisioning across development and production. Manage backend state, pipelines, and state-change detection integrations. Platform Engineering & SRE Own and improve reliability, observability, and performance of the platform. Implement SLOs, alerting, dashboards, and auto remediation where possible. Troubleshoot cluster level, networking, and workload deployment issues. Lead root cause analysis (RCA) and drive long-term reliability improvements. Automation & Tooling Develop automation scripts and tooling in PowerShell. Build and optimize Azure DevOps (ADO) YAML pipelines. Integrate automated testing, security scanning, and automated rollout strategies like blue/green or canary where appropriate. Workflow & Delivery Work in an Agile environment using ADO for planning and tracking. Collaborate closely with developers, platform engineers, and security. Participate in on-call rotations (if required). Qualifications What you'll bring The essential skills/experience for this position are: Strong experience with OpenTofu/Terraform for IaC. Hands on expertise with AKS, including: cluster operations node pools & autoscaling ingress, cert-manager, CNI workload deployment patterns Experience of Azure Cloud Services: Azure Front Door (AFD) and API Management (APIM) Azure DNS, Key Vault, MSI, networking, identity / Azure Entra ID Monitoring: Datadog, Log Analytics, Azure Monitor Skilled in Scripting (PowerShell, Bash, Python) automation. Proficient in Azure DevOps: repos, pipelines, artifacts. Solid understanding of Azure networking, DNS/private endpoints, Certificate/Secret management etc Strong debugging and operational experience (SRE mindset). Solid experience of DevSecOps architecture, processes & tooling Solid understanding of Observability Process & Tooling Logging, metrics, traces, dashboards Other highly desirable, but not essential skills are: Experience with: GitOps - ArgoCD or GitOps workflows Zero downtime deployments (blue/green/canary patterns) Prometheus/Grafana Microsoft Azure Certification (Az-104, Az-305, Az-400). Kubernetes Certification (CKA). Terraform Associate / OpenTofu equivalent (when available). Experience with high volume low latency SaaS systems. Experience with distributed and event driven architectures. Experience with Ingress Solutions such as Azure Front Door and API Management. Experience with IAM, Authentication / Authorisation. Degree-educated in Computer Science, Engineering, Mathematics or equivalent industry experience Appreciation of current and emerging technologies along with their potential benefits and limitations. General knowledge of the Insurance Industry. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email (ICT_TECH TD_2026_15R)
13/06/2026
Full time
Description As a Senior DevOps Engineer, you will join a substantial global engineering organisation and work in a team of highly skilled engineers in the SaaS platform area. You will be part of a team that follows Agile methodologies to deliver market-leading insurance solutions. This is a new position created as the organisation continues to grow and accelerate the delivery of innovative solutions that harness the latest advances in technology. The role is to work on the evolution of the SaaS delivery platform for WTW's flagship product Radar Live SaaS. You will have worked on large scale and globally deployed SaaS applications that have a mature stack management capability. A sound technical background is essential to be successful in this role with experience in delivering large scale Cloud services. The ideal candidate will enjoy building automated, environment-agnostic cloud platforms. Have strong troubleshooting and operational instincts. Prefer IaC and policy-driven automation over manual work. Be comfortable working across Dev, Ops, Security, and Architecture. Can balance reliability, quality, speed, and practical engineering trade-offs. The Role As a Senior DevOps Engineer, you will be expected to: Infrastructure-as-Code (IaC) Maintain and extend IaC modules using OpenTofu (Terraform fork). Implement reusable, parameterized templates for Azure infrastructure. Automate environment provisioning across development and production. Manage backend state, pipelines, and state-change detection integrations. Platform Engineering & SRE Own and improve reliability, observability, and performance of the platform. Implement SLOs, alerting, dashboards, and auto remediation where possible. Troubleshoot cluster level, networking, and workload deployment issues. Lead root cause analysis (RCA) and drive long-term reliability improvements. Automation & Tooling Develop automation scripts and tooling in PowerShell. Build and optimize Azure DevOps (ADO) YAML pipelines. Integrate automated testing, security scanning, and automated rollout strategies like blue/green or canary where appropriate. Workflow & Delivery Work in an Agile environment using ADO for planning and tracking. Collaborate closely with developers, platform engineers, and security. Participate in on-call rotations (if required). Qualifications What you'll bring The essential skills/experience for this position are: Strong experience with OpenTofu/Terraform for IaC. Hands on expertise with AKS, including: cluster operations node pools & autoscaling ingress, cert-manager, CNI workload deployment patterns Experience of Azure Cloud Services: Azure Front Door (AFD) and API Management (APIM) Azure DNS, Key Vault, MSI, networking, identity / Azure Entra ID Monitoring: Datadog, Log Analytics, Azure Monitor Skilled in Scripting (PowerShell, Bash, Python) automation. Proficient in Azure DevOps: repos, pipelines, artifacts. Solid understanding of Azure networking, DNS/private endpoints, Certificate/Secret management etc Strong debugging and operational experience (SRE mindset). Solid experience of DevSecOps architecture, processes & tooling Solid understanding of Observability Process & Tooling Logging, metrics, traces, dashboards Other highly desirable, but not essential skills are: Experience with: GitOps - ArgoCD or GitOps workflows Zero downtime deployments (blue/green/canary patterns) Prometheus/Grafana Microsoft Azure Certification (Az-104, Az-305, Az-400). Kubernetes Certification (CKA). Terraform Associate / OpenTofu equivalent (when available). Experience with high volume low latency SaaS systems. Experience with distributed and event driven architectures. Experience with Ingress Solutions such as Azure Front Door and API Management. Experience with IAM, Authentication / Authorisation. Degree-educated in Computer Science, Engineering, Mathematics or equivalent industry experience Appreciation of current and emerging technologies along with their potential benefits and limitations. General knowledge of the Insurance Industry. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email (ICT_TECH TD_2026_15R)
Job Description Purpose of the role: To effectively monitor and maintain the bank's critical technology infrastructure and resolve more complex technical issues, whilst minimising disruption to operations. Accountabilities Provision of technical support for the service management function to resolve more complex issues for a specific client or group of clients. Develop the support model and service offering to improve the service to customers and stakeholders. Execution of preventative maintenance tasks on hardware and software and utilisation of monitoring tools/metrics to identify, prevent and address potential issues and ensure optimal performance. Maintenance of a knowledge base containing detailed documentation of resolved cases for future reference, self service opportunities and knowledge sharing. Analysis of system logs, error messages and user reports to identify the root causes of hardware, software and network issues, and providing a resolution to these issues by fixing or replacing faulty hardware components, reinstalling software, or applying configuration changes. Automation, monitoring enhancements, capacity management, resiliency, business continuity management, front office specific support and stakeholder management. Identification and remediation or raising, through appropriate process, of potential service impacting risks and issues. Proactively assess support activities implementing automations where appropriate to maintain stability and drive efficiency. Actively tune monitoring tools, thresholds and alerting to ensure issues are known when they occur. Analyst Expectations Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in depth technical knowledge and experience in the assigned area of expertise. Thorough understanding of the underlying principles and concepts within the area of expertise. Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. For a leader: demonstrate the four LEAD behaviours - Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others. For an individual contributor: develop technical expertise, act as an advisor where appropriate, and influence decision making within the area of expertise. Take responsibility for end results of a team's operational processing and activities, escalated breaches of policies appropriately, embed new policies/procedures adopted due to risk mitigation, and strengthen controls. Demonstrate understanding of how own sub function integrates with the function and with the organisation's products, services and processes. Make evaluative judgements based on factual information, resolve problems through technical experience, and communicate complex/sensitive information to stakeholders. Act as a contact point for stakeholders outside the immediate function, building a network of contacts. Demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset - Empower, Challenge and Drive. Role Overview Application Support Engineer at Barclays, where you will play a key role in ensuring the stability, availability, and performance of critical business applications. The role involves monitoring and supporting business critical applications, investigating and resolving production incidents in line with ITIL processes, and working with engineering teams to improve application reliability, performance and operational resilience. You will also leverage monitoring and observability tools to proactively identify issues and minimise service disruption. Required Skills and Experience Strong AWS knowledge from an application support and operational support perspective, including troubleshooting cloud based applications and services. Experience working with MS SQL, including query analysis, troubleshooting, and supporting database driven applications. Strong Unix/Linux administration and troubleshooting skills within production environments. Highly Valued Skills Experience supporting APIs and understanding application integration concepts. Exposure to CI/CD processes and tools such as GitLab pipelines, with an understanding of release and deployment practices. Experience using monitoring and automation tools such as Kibana, AppDynamics and other observability platforms to support service performance and operational excellence. Candidate Assessment Assessment may focus on key critical skills relevant for success in the role such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology capabilities, and job specific technical skills. Location Knutsford.
13/06/2026
Full time
Job Description Purpose of the role: To effectively monitor and maintain the bank's critical technology infrastructure and resolve more complex technical issues, whilst minimising disruption to operations. Accountabilities Provision of technical support for the service management function to resolve more complex issues for a specific client or group of clients. Develop the support model and service offering to improve the service to customers and stakeholders. Execution of preventative maintenance tasks on hardware and software and utilisation of monitoring tools/metrics to identify, prevent and address potential issues and ensure optimal performance. Maintenance of a knowledge base containing detailed documentation of resolved cases for future reference, self service opportunities and knowledge sharing. Analysis of system logs, error messages and user reports to identify the root causes of hardware, software and network issues, and providing a resolution to these issues by fixing or replacing faulty hardware components, reinstalling software, or applying configuration changes. Automation, monitoring enhancements, capacity management, resiliency, business continuity management, front office specific support and stakeholder management. Identification and remediation or raising, through appropriate process, of potential service impacting risks and issues. Proactively assess support activities implementing automations where appropriate to maintain stability and drive efficiency. Actively tune monitoring tools, thresholds and alerting to ensure issues are known when they occur. Analyst Expectations Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in depth technical knowledge and experience in the assigned area of expertise. Thorough understanding of the underlying principles and concepts within the area of expertise. Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. For a leader: demonstrate the four LEAD behaviours - Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others. For an individual contributor: develop technical expertise, act as an advisor where appropriate, and influence decision making within the area of expertise. Take responsibility for end results of a team's operational processing and activities, escalated breaches of policies appropriately, embed new policies/procedures adopted due to risk mitigation, and strengthen controls. Demonstrate understanding of how own sub function integrates with the function and with the organisation's products, services and processes. Make evaluative judgements based on factual information, resolve problems through technical experience, and communicate complex/sensitive information to stakeholders. Act as a contact point for stakeholders outside the immediate function, building a network of contacts. Demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset - Empower, Challenge and Drive. Role Overview Application Support Engineer at Barclays, where you will play a key role in ensuring the stability, availability, and performance of critical business applications. The role involves monitoring and supporting business critical applications, investigating and resolving production incidents in line with ITIL processes, and working with engineering teams to improve application reliability, performance and operational resilience. You will also leverage monitoring and observability tools to proactively identify issues and minimise service disruption. Required Skills and Experience Strong AWS knowledge from an application support and operational support perspective, including troubleshooting cloud based applications and services. Experience working with MS SQL, including query analysis, troubleshooting, and supporting database driven applications. Strong Unix/Linux administration and troubleshooting skills within production environments. Highly Valued Skills Experience supporting APIs and understanding application integration concepts. Exposure to CI/CD processes and tools such as GitLab pipelines, with an understanding of release and deployment practices. Experience using monitoring and automation tools such as Kibana, AppDynamics and other observability platforms to support service performance and operational excellence. Candidate Assessment Assessment may focus on key critical skills relevant for success in the role such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology capabilities, and job specific technical skills. Location Knutsford.
S-RM is recruiting a Senior DevOps Engineer to play a key role in the development and maintenance of products for our Corporate Intelligence team. WHO ARE WE S-RM is a global intelligence and cyber security consultancy. Since 2005, we've helped companies, governments and private individuals solve some of their most complex challenges. We've been able to do this because of our outstanding people. We're committed to developing bright, curious, enthusiastic people who want to think critically, solve complex problems, and achieve success. But we also know that work is not everything. It's about the lives and careers it helps us build. We're immensely proud of this culture and we invest in our people's wellbeing, learning, and ideas every day. We're excited you're thinking about joining us. THE ROLE This role will be working as part of a larger software team supporting our Corporate Intelligence team in the development of complex intelligence software products. We expect that the following will be component of the key responsibilities for this position: Design, build, and maintain scalable, secure, and highly available cloud infrastructure on AWS, supporting multiple product teams with differing needs. Own infrastructure as code using Terraform, ensuring environments are reproducible, version controlled, and well documented. Architect, implement, and maintain robust CI/CD pipelines to support build, test, and deployment workflows. Collaborate closely with development teams to improve deployment reliability, speed, and automation. Own observability and monitoring practices, ensuring meaningful metrics, dashboards, logs, and alerts are in place. Embed security best practices into infrastructure, CI/CD pipelines, and runtime environments. Keep up to date with DevOps, cloud, and AWS best practices, tooling, and emerging technologies. Take ownership of complex problems end to end, from design through to production support. WHAT WE'RE LOOKING FOR We think candidates with the following skills and experience are likely to succeed as a Senior DevOps Engineer at S-RM. That said, if you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box-we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. We're looking for someone that is able to adapt to change and work comfortably in a fast paced environment, this person will have some or all of these skills: Degree level education in a computer science, maths or related numerate subject, OR equivalent practical experience. Proven experience as a Senior DevOps Engineer or similar role, supporting multiple product or engineering teams. Strong hands on experience with AWS (e.g. EC2, ECS/EKS, RDS, IAM, VPC, S3, OpenSearch, CloudWatch) in production environments. Extensive experience using Terraform to manage infrastructure as code, including module design and environment separation. Solid experience building and maintaining CI/CD pipelines. Strong observability and monitoring experience, including metrics, logs, alerts, and dashboards. Good understanding of Linux/Unix systems, networking fundamentals, and cloud security best practices. Experience with containerisation and orchestration (e.g. Docker, ECS, Kubernetes). Any of the following personal skills would be very beneficial in this position : Strong problem solving skills and the ability to work independently in a small, agile team. Well organised with strong attention to detail, particularly in automation and infrastructure changes. Delivery focused, balancing speed with reliability and long term maintainability. A proven ability to work from idea to a working feature. Able to evaluate new technologies pragmatically rather than adopting trends for their own sake. Strong communication skills, with the ability to communicate with business stakeholders to understand the problems and contribute to technical discussions. The successful candidate must have permission to work in the UK by the start of their employment. BENEFITS We offer thoughtful, balanced rewards and support to help our people do their best work and live their lives outside it, this includes but is not exhaustive of: 25 days holiday per year in addition to bank holidays (+1 day for every year of service up to a maximum of 30 days in total); Hybrid working and flexible working hours; Matching pension contribution up to7% (up to a maximum of 14% combined), and financial education; Life Insurance 4X annual salary. Parental Support: Fertility treatment leave - 5 days of leave per cycle of treatment per year; Maternity leave- 26 weeks of full pay followed by 13 weeks of half pay; Paternity leave- 6 weeks of full pay. Various Health and Medical Benefits including: Private dental and medical insurance (taxable benefit) for you and your family; Virtual GP for you and your family members that live in the same household; Various gym discounts for you and your partner; EAP programme for you and your immediate family; Free access to the world-famous mindfulness app Headspace . The role will be based at our London office (remote) . A preliminary call, which will be a chance for you to find out more about S-RM and the role. First Interview - this will be run remotely and will likely be more technical in focus. Second interview - this will be run remotely and will likely be focused on the role in more detail and your ability to collaborate with our varied team. We nurture a culture of equality, diversity and inclusion and we are dedicated to developing a workforce that displays a variety of talents, experiences and perspectives.
13/06/2026
Full time
S-RM is recruiting a Senior DevOps Engineer to play a key role in the development and maintenance of products for our Corporate Intelligence team. WHO ARE WE S-RM is a global intelligence and cyber security consultancy. Since 2005, we've helped companies, governments and private individuals solve some of their most complex challenges. We've been able to do this because of our outstanding people. We're committed to developing bright, curious, enthusiastic people who want to think critically, solve complex problems, and achieve success. But we also know that work is not everything. It's about the lives and careers it helps us build. We're immensely proud of this culture and we invest in our people's wellbeing, learning, and ideas every day. We're excited you're thinking about joining us. THE ROLE This role will be working as part of a larger software team supporting our Corporate Intelligence team in the development of complex intelligence software products. We expect that the following will be component of the key responsibilities for this position: Design, build, and maintain scalable, secure, and highly available cloud infrastructure on AWS, supporting multiple product teams with differing needs. Own infrastructure as code using Terraform, ensuring environments are reproducible, version controlled, and well documented. Architect, implement, and maintain robust CI/CD pipelines to support build, test, and deployment workflows. Collaborate closely with development teams to improve deployment reliability, speed, and automation. Own observability and monitoring practices, ensuring meaningful metrics, dashboards, logs, and alerts are in place. Embed security best practices into infrastructure, CI/CD pipelines, and runtime environments. Keep up to date with DevOps, cloud, and AWS best practices, tooling, and emerging technologies. Take ownership of complex problems end to end, from design through to production support. WHAT WE'RE LOOKING FOR We think candidates with the following skills and experience are likely to succeed as a Senior DevOps Engineer at S-RM. That said, if you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box-we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. We're looking for someone that is able to adapt to change and work comfortably in a fast paced environment, this person will have some or all of these skills: Degree level education in a computer science, maths or related numerate subject, OR equivalent practical experience. Proven experience as a Senior DevOps Engineer or similar role, supporting multiple product or engineering teams. Strong hands on experience with AWS (e.g. EC2, ECS/EKS, RDS, IAM, VPC, S3, OpenSearch, CloudWatch) in production environments. Extensive experience using Terraform to manage infrastructure as code, including module design and environment separation. Solid experience building and maintaining CI/CD pipelines. Strong observability and monitoring experience, including metrics, logs, alerts, and dashboards. Good understanding of Linux/Unix systems, networking fundamentals, and cloud security best practices. Experience with containerisation and orchestration (e.g. Docker, ECS, Kubernetes). Any of the following personal skills would be very beneficial in this position : Strong problem solving skills and the ability to work independently in a small, agile team. Well organised with strong attention to detail, particularly in automation and infrastructure changes. Delivery focused, balancing speed with reliability and long term maintainability. A proven ability to work from idea to a working feature. Able to evaluate new technologies pragmatically rather than adopting trends for their own sake. Strong communication skills, with the ability to communicate with business stakeholders to understand the problems and contribute to technical discussions. The successful candidate must have permission to work in the UK by the start of their employment. BENEFITS We offer thoughtful, balanced rewards and support to help our people do their best work and live their lives outside it, this includes but is not exhaustive of: 25 days holiday per year in addition to bank holidays (+1 day for every year of service up to a maximum of 30 days in total); Hybrid working and flexible working hours; Matching pension contribution up to7% (up to a maximum of 14% combined), and financial education; Life Insurance 4X annual salary. Parental Support: Fertility treatment leave - 5 days of leave per cycle of treatment per year; Maternity leave- 26 weeks of full pay followed by 13 weeks of half pay; Paternity leave- 6 weeks of full pay. Various Health and Medical Benefits including: Private dental and medical insurance (taxable benefit) for you and your family; Virtual GP for you and your family members that live in the same household; Various gym discounts for you and your partner; EAP programme for you and your immediate family; Free access to the world-famous mindfulness app Headspace . The role will be based at our London office (remote) . A preliminary call, which will be a chance for you to find out more about S-RM and the role. First Interview - this will be run remotely and will likely be more technical in focus. Second interview - this will be run remotely and will likely be focused on the role in more detail and your ability to collaborate with our varied team. We nurture a culture of equality, diversity and inclusion and we are dedicated to developing a workforce that displays a variety of talents, experiences and perspectives.
