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Ready to pioneer the future of AI-augmented engineering and redefine the speed of software delivery? This could be the place for you! $113M funded. Global footprint. AI-powered. Human-driven. INSHUR is the embedded insurance powerhouse for the on-demand world. We partner with giants like Uber and Amazon to provide fair, data-backed coverage for the modern workforce. We're 220 people strong across the UK, US, and Netherlands, using AI as a multiplier to stay ahead of the curve. Want to work where tech actually meets the road? You're in the right place. The role As a Product-Minded Senior Software Engineer III, you will be responsible for incrementally shipping value to customers, orchestrating AI agents to research, plan, and implement changes to our products while iterating with the wider team to leverage these tools to increase velocity and quality. This role reports to an Engineering Manager and sits within a product team of 8-10, who believe in pioneering AI engineering workflows and transforming team practices through agentic collaboration. This is a Hybrid role requiring regular in-person team meetings at our Brighton office, typically held on the last Thursday of each month for team connection. What you'll do Own and Ship Customer Value: You'll deliver incremental customer value through features and projects across INSHUR's policy, claims, and internal tooling products - shipping outcomes that users actually feel. AI-Native Development: Leverage agentic coding tools (Claude Code, Cursor) to research, plan, architect, and implement product changes quickly and with high quality, by guiding agents through complex tasks and validating against engineering standards. Write Code That Matters: You'll write and review code across Go, Java (Spring), and/or Node.js, using AI tooling to bridge syntax gaps rapidly without compromising correctness. You'll define and implement tests in business-readable language that lock in behaviour. Lead Problem Resolution: You'll be the trusted expert for critical bugs and incidents in your area, using AI tooling to diagnose fast and resolve with confidence, preventing customer impact and building team resilience. Drive Wider Initiatives: You'll shape how INSHUR engineers work by contributing to squad, collective, or discipline-level initiatives, especially those advancing AI-augmented engineering practices across the organisation. Own Observability: You'll ensure systems stay healthy and visible by identifying monitoring gaps and independently managing escalations, building confidence that your area runs smoothly. Collaborate Across Functions: You'll work directly with product managers and designers to understand customer needs across our policy, claims, and internal tooling products, ensuring engineering decisions are shaped by real customer context. What we're looking for We care more about how you think than what's on your CV. If you meet most of the essentials and are excited about the problem, apply. Essential Product mindset: You can take an idea and break it down into small iterations of value Outcome driven: Rather than going deep on tooling, you're focussed on delivering value to customers in terms they understand AI-Native / Agentic Workflow: You have effectively used tools like Claude Code to plan, architect, and code, and can clearly explain how you steer agents to achieve complex goals. Golang / Java/NodeJS - Polyglot Mindset: You possess a solid understanding of Go, Java (inc Spring) or NodeJS to verify code, while being able to use AI to bridge syntax gaps rapidly. Testing & Quality Assurance: You are able to articulate tests in business language, even when code is generated by AI. Innovation & Growth Mindset: You are passionate about bringing new workflows to a scale-up environment and "learning in the open." Nice to have Scaling Experience: You have worked with asynchronous distributed systems AI Tooling Proficiency: You bring to the table novel ideas and flows around AI coding assistants like Cursor or Claude Code Mentorship Track Record: You have experience sharing knowledge and upskilling teams on new technologies or methodologies. Behavioural testing mindset: When it comes to testing, you think in terms of locking in behaviour, not implementation What to expect from the process Screen & Intro: 30-minute video call with the Talent Team to discuss the role and your experience with AI agents. HM Interview: 45-60 minute video call with the Engineering Manager and Head of Engineering to delve into workflow, mindset, and AI tool usage. The "Agent" Test: A live technical task where you'll use Claude Code (or your preferred agent) to solve a complex requirement or refactor code. Final Stage: 45-60 minute interview with the broader team and People Team to assess collaboration and "Learning in the open." We design this to be a two-way conversation. Come with questions - we want you to leave knowing whether this is the right move for you. We also use AI tools to support our hiring process - not to make decisions, but to help us run a fairer, faster process. You can read more about how we approach that here, including tips for how you can use AI to prepare. What we offer We've also built a benefits package that invests in our people's long-term personal and professional growth and wellbeing. Here's a sample of what this includes; Salary £70-£80,000, depending on experience and location, plus stock options for every employee 30 days of holiday annually, plus bank holidays Private healthcare for you and your family, including pre-existing conditions Life insurance at 3x your salary 13 weeks parental leave at full pay for new parents Workplace nursery scheme with Gogeta, allowing you to pay fees pre-tax Ride to work scheme Workplace pension scheme to help you save for retirement Flexible working hours to suit your lifestyle £500 annual personal training allowance plus regular learning opportunities on a variety of topics £40 monthly wellbeing to keep you healthy 24/7 Employee Assistance Program, covering you and immediate family members-offering crisis support, counselling, legal advice, menopause CBT, and more Unlimited AI usage with Claude and Gemini Working here You'll do well here if you: Move through ambiguity without waiting for a perfect brief Take ownership of outcomes, not just tasks Adapt quickly when priorities shift, and help others do the same Look for ways to improve how things work, not just how to complete them Use tools, data, and colleagues to make better decisions This probably isn't the right fit if you: Prefer clearly defined processes and a stable, slow-moving environment Are most comfortable staying within the boundaries of your job description Find frequent context-switching draining rather than energising Inclusion and flexibility INSHUR is committed to building a team where everyone can bring their full self to work. We follow a structured hiring process and train our interview teams to support fairness and reduce bias. We welcome applications from people of all backgrounds. We do not discriminate on the basis of race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, or age. This role is advertised as full-time. We're open to discussing part-time, job-sharing, or other flexible arrangements for the right person. If you need any adjustments during the process, let us know and we'll do our best to accommodate.

Join our collaborative environment, where you'll help shape the future of AI and platform capabilities across Kinexys. Grow your skills, contribute to our AI strategy, and drive initiatives end-to-end while working alongside experienced product and technology partners. Don't miss this opportunity to be part of a dynamic team at the forefront of AI in digital assets. As a Senior Associate in Kinexys AI and Platform Shared Services, you play a pivotal role in building and executing the AI strategy across Kinexys. You support the full lifecycle of AI initiatives - from discovery and data foundations through to delivery and adoption - while helping to establish the standards, governance, and operating model that will define how Kinexys builds with AI at scale. You are a strategic and technical thinker, equally comfortable with developers and senior stakeholders, with a genuine passion for AI and the drive to move fast across multiple priorities. Job Responsibilities Supports the development and execution of the Kinexys AI strategy and roadmap, translating priorities into initiatives and tracking delivery against plan Manages end-to-end discovery and delivery of AI initiatives - from problem definition and requirements through to launch and adoption Contributes to the design and implementation of AI governance frameworks, including data standards, model oversight, and responsible AI practices Drives data management and standardisation efforts, ensuring data assets are well-governed and fit for AI and analytics use Collects and communicates metrics on initiative progress and platform performance to inform decision-making and senior stakeholder updates Partners with engineering and data teams to shape technical solutions, contributing requirements, user stories, and acceptance criteria Manages stakeholder relationships across product, technology, operations, and leadership - maintaining alignment across a matrixed organisation Contributes to platform shared services strategy, identifying opportunities to improve tooling, ways of working, and cross-team capabilities Monitors AI market trends, emerging tooling, and competitor activity to inform best practices and keep Kinexys ahead of the curve Supports internal AI enablement - helping teams across Kinexys understand and adopt AI capabilities effectively Required Qualifications, Capabilities, and Skills Experience or equivalent expertise in product management, programme management, or a relevant domain with exposure to AI or data initiatives Developing knowledge of the AI and data product lifecycle, from discovery and data foundations through to production deployment Strong data literacy with exposure to data management, standardisation, or analytics workflows Technical fluency - able to engage with engineering and data teams, understand architectural tradeoffs, and contribute meaningfully to technical conversations Strong collaborator with proven ability to work alongside cross-functional partners including Technology, Operations, and Compliance Strategic thinker with the ability to connect the dots across business and functional areas to deliver high-impact solutions Highly organised with strong tracking and reporting discipline - comfortable owning metrics, dashboards, and stakeholder communications Comfortable working in a fast-paced environment with minimal guidance and a strong sense of ownership Genuine curiosity and enthusiasm for AI - you follow the space closely, form opinions, and bring energy to the work Preferred Qualifications, Capabilities, and Skills Demonstrated prior experience working in a highly matrixed, complex organisation Hands-on experience building or contributing to enterprise AI or data platforms - from prototype to production at scale Familiarity with agentic AI frameworks, LLMs, RAG pipelines, or AI governance and evaluation tooling Experience in financial services, digital assets, payments, or a similarly regulated domain Prior exposure to distributed ledger technologies, tokenisation, or blockchain infrastructure Experience contributing to AI operating models, standards, or centre-of-excellence functions

Oxford Dynamics is seeking an Artificial Intelligence Engineer to develop and deploy agentic AI systems within national security and defence contexts. In this role, you will optimise multi-agent frameworks, integrate cutting-edge LLMs, and ensure system reliability and security. The position offers a hybrid working model and includes benefits like private healthcare and a generous pension plan. You'll have the opportunity to make a significant impact within a fast-growing deep-tech company.

About us Humaans is building the next generation of infrastructure for the workplace; software designed for companies that are scaling fast, operating globally, and pushing into new boundaries. What started as a system of record has evolved into a broader platform for operating people globally. With Athena, our agentic AI layer, Humaans moves beyond data management into intelligent orchestration, connecting workflows across HR, IT, Finance, and Operations so organisations can act faster and with greater confidence, redefining how work gets done. We work with ambitious teams across Europe and the US, from AI-native companies like Lovable, Poolside, Fyxer AI, and Tandem Health, to established, high-growth organisations scaling internationally and through acquisition, including Quantexa, Sellpy, Manychat, Gigs, Croud, and Threecolts. These teams don't buy software for features, they buy leverage. The ability to run faster, cleaner, and with more control as complexity compounds. To date, we've raised $20m in venture funding from some of the most respected founders, operators, and funds in technology: Lachy Groom (Physical Intelligence), Stewart Butterfield (Slack), Tobias Lütke (Shopify), Dylan Field (Figma), Jeff Weiner (LinkedIn), Claire Johnson (Stripe), Oliver Jay (OpenAI), Jay Simmons (Bond) as well as Y Combinator, Moonfire, Frontline Ventures, Pathlight Ventures, and Exor. If you have massive ambition and want to work on a hard problem, with a small team that moves fast, at a moment when the category is genuinely up for grabs - this is it. We're looking for a Security GRC Manager - Trust and Compliance, to own the systems, processes, audits, and customer facing trust work that help Humaans scale into more demanding markets. This is a hands on ownership role, built around AI. You'll run our security compliance programme throughout the year, not just during audit season. AI is how the work gets done here. It drafts policies, speeds up questionnaire responses, and keeps evidence current. You already use these tools daily and know how to get real leverage from them. You'll own the operating rhythm for frameworks like ISO 27001, SOC 1, SOC 2, HIPAA and future standards that matter to our customers. You'll keep evidence organised, controls running, policies up to date, vendors reviewed, risks visible, and audits moving smoothly. You'll also be close to revenue. You'll support Sales and Customer Success on security and compliance questions, help complete vendor security questionnaire, maintain reusable trust materials, and make sure enterprise buyers get accurate, fast, confidence building answers. This role sits at the intersection of Security, Legal, Product, Engineering, Revenue, and Operations. You don't need to be the person configuring every system yourself, but you do need to understand how modern SaaS companies operate, ask sharp questions, drive action across teams, and keep the bar high. Focus / Ownership You'll own Humaans' security compliance programme end to end, including ISO, SOC 1, SOC 2, HIPAA and future frameworks we choose to pursue. You'll manage audit cycles throughout the year, coordinating with external auditors, internal control owners, Engineering, People, Legal, Finance and Operations. You'll maintain the controls, evidence, policies, risk register, access reviews, vendor reviews, business continuity processes, and incident response documentation that support our certifications and customer commitments. AI drafts and updates these artefacts and keeps evidence current year round, not only at audit time. You'll support customer facing trust work, including sales calls, security reviews, procurement processes, vendor questionnaire, RFPs, DPAs, subprocessors, data protection questions, and enterprise diligence. You'll build AI assisted systems for answering repeated security questions quickly and accurately. The answer bank drafts responses. Trust collateral stays current. A review process holds quality as volume scales. You'll work with Product and Engineering to translate compliance requirements into practical operational controls without slowing the company down unnecessarily. You'll help the company make clear, risk based decisions, escalating when something matters and cutting through noise when it doesn't. You'll raise the maturity of how Humaans thinks about security, privacy, risk, and customer trust as we move upmarket. Requirements You have 4+ years of experience in security compliance, GRC, trust, audit, information security, privacy operations, or a closely related role. You've run or supported audits for frameworks such as SOC 2, ISO 27001, SOC 1, HIPAA, GDPR, or similar. You've used AI in security or compliance work and can speak to what you built and the outcome. Think drafting policies, speeding up questionnaire responses, or reviewing vendor documentation. You understand how modern B2B SaaS companies work, including cloud infrastructure, access management, vendor management, product development, customer data, and enterprise sales processes. You're comfortable being customer facing. You can join a sales call, answer security questions clearly, and give buyers confidence. You're strong at written communication. You can produce crisp policies, questionnaire responses, audit narratives, and internal guidance that people actually understand. You're organised and detail oriented. You can keep evidence, control owners, audit timelines, and customer commitments moving without dropping things. You're pragmatic. You know the difference between meaningful risk reduction and compliance theatre. You can work across teams and hold a high bar without becoming a blocker. You're excited by a high growth, high ownership environment where the playbook is still being written. Nice to have Experience in HR tech, fintech, healthtech, infrastructure, or another category where customer data and enterprise trust are central. Experience with security compliance platforms such as Vanta, Drata, Secureframe, Sprinto or similar. Experience reviewing DPAs, subprocessors, data residency questions, privacy documentation, and vendor contracts in partnership with Legal. Familiarity with US healthcare or HIPAA requirements. Experience building a trust centre, customer facing security portal, or security questionnaire answer library. Experience supporting enterprise sales, procurement, RFPs, or security reviews. What success looks like Within your first 90 days, you'll understand our current compliance posture, audit calendar, control owners, customer trust materials, and major gaps. Within six months, you'll have improved the operating rhythm of our compliance programme, reduced friction in sales security reviews, and made audits feel more predictable. Within twelve months, Humaans will have a more scalable trust function: stronger evidence, better controls, faster questionnaire turnaround, clearer ownership, and a security compliance programme that helps us win larger customers. This is an in person role. Our team comes together in the office Monday through Thursday, while most of the team collaborates in person on Mondays, Tuesdays, and Thursdays. Package & Benefits Early stage startups can be messy - we know that. We're putting effort in providing you with the best employee experience and a quality driven environment in exchange for trusting us. Market leading compensation that reflects your value 25 days paid time off each year plus public holidays Share Options with 5 year exercise window so you don't feel pressure to exercise if you leave Free Thursday lunches at HQ, quarterly team events, and company offsites. Top tier private coverage for health, vision and dental care A new MacBook and tools you need to do your best work Enhanced parental leave with up to 16 weeks for primary and 4 weeks for secondary Learning & development budget Why Join Humaans Today? HR tech is having its AI moment and we're positioned to own it. Humaans started as a next gen HRIS taking on large incumbents in a massive market. We've since evolved into something even bigger: an AI platform that sits across workforce data and automates the operational layer of HR entirely; the natural progression of what we've been building toward. The product is highly differentiated. It's built around a structured workforce data model that makes AI reliable in an HR context, something no one else has gotten right. Customers notice the difference immediately. We're backed by Y Combinator, Lachy Groom, Moonfire, Frontline Ventures, and operators who've built some of the most consequential software companies of the last decade: the founders of Slack, Figma, and Shopify, and Asana's former CRO and Head of OpenAI International. We're a small team with an unapologetically high bar. It shows up in the product, in how we communicate, and in the standards we hold each other to. Our Commitment to Diversity At Humaans we're looking for genuinely good people that are transparent and emphatic. We're committed to providing equal opportunities, a diverse and inclusive work environment, and ensuring a fair interview process for everyone. You're welcome to apply no matter your gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Privacy notice We care about your privacy. When you apply for a role at Humaans, we'll collect and process your personal data as part of our recruitment process. This includes things like your CV, contact details . click apply for full job details

Responsibilities Own mobile architecture strategy (Hybrid > Cross-Platform > Native) Architect offline authentication, biometric tokenization, and secure session handling Design encrypted local storage, background sync, and complex IB dataset handling Define performance strategy for agentic LLM-backed workflows Partner with AI and Backend teams to ensure seamless integration and scalability Must-Have Skillsets 10 years in mobile engineering with deep native (iOS/Android) expertise Proven experience designing offline-first mobile apps with encryption & sync Strong knowledge of security frameworks, UEM integration and enterprise mobile Ability to evaluate cross-platform frameworks (React Native, Flutter)

Senior AI EngineerApplylocations: UK - London ( St Botolph )time type: Full timeposted on: Posted Todayjob requisition id: 2026-547 Senior AI Engineer Assignment type: 6 month contract (outside IR35) TMHCC is seeking a Senior AI Engineer to support the build-out of our AI Ops capability and delivery of strategic AI transformation initiatives across insurance operations, including Policy Revamp and FNOL (First Notice of Loss).The role will focus on designing and implementing enterprise-grade Agentic AI solutions using Azure AI Foundry, Python, Azure Functions, and modern cloud-native engineering practices.This is a hands-on engineering role requiring strong experience in AI workflow orchestration, secure Azure architecture, API integration, and scalable AI solution delivery. Key Responsibilities Design and develop Agentic AI solutions using Azure AI Foundry and Azure OpenAI Build AI orchestration workflows using Python and Azure Durable Functions Develop document-processing and AI-driven automation solutions for insurance workflows Implement secure Azure architectures using Private Endpoints and enterprise networking standards Build and maintain Azure Function Apps and supporting backend services Develop integrations with enterprise systems and external APIs Establish and maintain CI/CD pipelines using Azure DevOps Manage source control, branching strategy, and code quality standards using GitHub Collaborate with architects, business stakeholders, and delivery teams Produce technical documentation and support knowledge transfer activities Contribute to AI engineering standards, reusable frameworks, and best practices Required Skills & Experience Essential Strong Python development experience Experience with Azure AI Foundry / Azure OpenAI Experience building AI agent or LLM-based workflows Experience with Azure Functions and Durable Functions Experience with REST APIs and asynchronous workflow orchestration Strong Azure cloud engineering experience Experience implementing secure cloud solutions using Private Endpoints Experience with CI/CD pipelines using Azure DevOps Strong GitHub and version control practices Experience with document processing, OCR, or AI extraction workflows Strong understanding of scalable and resilient solution design Desirable Experience with Agentic AI frameworks Experience with AI orchestration patterns Knowledge of vector search / Azure AI Search Experience with insurance domain workflows (FNOL, Policy Admin, Claims) Experience with monitoring and observability tooling Exposure to Pega platform integration Experience mentoring junior engineers or graduate trainees Technical Stack Python Azure AI Foundry Azure OpenAI Azure Functions / Durable Functions Azure Storage / Cosmos DB Azure DevOps GitHub REST APIs OCR / Document Intelligence AI Agent orchestration patterns Key Deliverables AI-driven Policy Revamp solution FNOL AI workflow implementation Secure Azure AI platform setup AI orchestration services and reusable frameworks CI/CD and deployment pipelines Technical documentation and knowledge transferYour success is our priority. In a world that is rapidly changing, TMHCC enables you to take on opportunities with confidence. At Tokio Marine HCC, we pride ourselves on hiring the smartest, most conscientious people, who want to make a difference no matter their background. And then we give them the support and trust they need. We're always looking for curious, creative transformative thinkers who want to change the status quo and have a passion for doing the right thing. If this is you, then we want you on our team.

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK As a Staff Software Engineer on Ripple's Authentication and Authorization platform team, you'll help shape how identity works across our growing portfolio of payment, custody, and liquidity products. Our products have grown up using different identity providers and protocols, and we're now bringing them together into a unified, consistent experience - while also building the fine-grained authorization primitives that teams across Ripple rely on every day. HOW WE WORK AI tooling is core to how our team works day-to-day - coding assistants, LLM-based workflows, and agentic tools across design, development, and operations. We're looking for people who already use these fluently, not just curious about them. WHAT YOU'LL DO Set the technical direction for Ripple's identity platform, including authentication flows, federation across multiple identity providers, and fine-grained authorisation Lead the design and delivery of a unified identity experience across Ripple's product portfolio Build and operate platform services on Kubernetes, with a focus on reliability, observability, and secure secret management Partner with security, compliance, and product teams to translate regulatory requirements into platform capabilities Write clear technical proposals and contribute to architecture discussions across the engineering org Mentor engineers on the team through code review, design feedback, and collaboration WHAT YOU'LL BRING Backend engineering experience in Golang or Java, including building and operating production applications within Kubernetes environments Experience designing or contributing to identity systems, ideally in a multi-tenant or federated context Hands-on experience using AI coding assistants and LLM-based tools as part of your day-to-day engineering workflow Experience collaborating across teams and writing design documents that build alignment NICE TO HAVE Familiarity with modern authentication protocols such as OAuth 2.0, OIDC, and SAML, and how they behave in production Experience with policy-as-code approaches to authorization (attribute-based, relationship-based, or hybrid) WHO WE ARE Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anytime style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

Tokio Marine HCC is hiring a Senior AI Engineer for a 6-month contract to build and support AI Ops capabilities across insurance operations. The role emphasizes designing enterprise-grade AI solutions with Azure AI Foundry and Python. The ideal candidate will have strong experience in Python, Azure Functions, API integrations, and scalable AI solutions. Key responsibilities include developing AI workflows and implementing secure Azure architectures.

Role Overview Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: Own the production outcome: Take full accountability for the long term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end to end health of the platform, ensuring seamless integration between the AI core and all full stack components, from APIs to UI, to maintain a responsive and production ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production grade applications with a deep understanding of the full request lifecycle connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the Team The Ads Analytics team plays a critical role in Roku's Advertising organization, leading measurement and analytics initiatives that power decision making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high impact solutions. Looking ahead, we are exploring AI driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. About the Role We are seeking a highly skilled Senior Software Engineer with deep expertise in API Development using Spring Boot and knowledge of Apache Spark based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large scale data processing. You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross functional teams to architect and manage robust, production grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high performance solutions. The ideal candidate is a proactive, self motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. What You'll Be Doing Software Development Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. Develop and fine tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large scale datasets. Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. Collaboration & Mentorship Partner with data scientists, software engineers, and other teams to deliver integrated, high quality solutions. Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. We're Excited If You Have 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. Expertise with at least one of the following: Apache Druid, StarRocks, Trino. Strong understanding of SOLID principles and distributed systems architecture. Proven experience in distributed data processing, data warehousing, and real time data pipelines. Strong programming skills in Java, Python, or Scala. Advanced SQL skills, with expertise in query optimization for large datasets. Expertise in data modeling, schema design, and data visualization tools. Experience building highly scalable, low latency, APIs. Exceptional problem solving abilities and the capacity to work both independently and collaboratively as needed. Exceptional verbal and written communication skills. Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. Experience in AdTech, advertising data platforms and campaign measurement. Knowledge of CI/CD pipelines, DevOps practices, and infrastructure as code tools such as Terraform. Experience with building Agentic AI systems to automate decision making and enhance analytics workflows. Bachelor's degree in computer science, engineering, or a related field (or equivalent experience). Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. Not every benefit is available in all locations or for every role. For details specific to your location, please consult your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Client360 is one of JPMorgan Chase Commercial & Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale. Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation. Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows. Job Responsibilities Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent led operations. Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB wide goals and organizational objectives. Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency. Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks. Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives. Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user centricity. Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data driven insights, and stakeholder satisfaction. Supports foundational business processes that enable Client360 through AI driven solutions. Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long term strategic goals. Leverages analytics and AI tools to help derive actionable insights from integrated data and third party sources, supporting comprehensive client profiles and improved decision making. Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions. Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision making, while supporting regulatory compliance and risk management. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs. Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics. Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management. Experience supporting change within organizations and managing stakeholders across multiple functions. Track record of contributing to large scale AI integration and analytics projects. Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management. Customer centric mindset with the ability to prioritize and deliver what clients and stakeholders need. Experience in working with cross functional teams and managing stakeholders to drive AI innovation. Excellent problem solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives. Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non technical audiences. Experience with emerging technologies and best practices in AI operations, business analytics, and CRM. Preferred qualifications, capabilities, and skills Experience working in a highly matrixed, complex organization. Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution. Bachelor's degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred. Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Remitly is a leading digital financial services provider for immigrants and their families in more than 170 countries. The Treasury team manages global funding operations, optimising liquidity, managing funding corridors, and ensuring capital availability where needed. About the Role The role reports to the Head of Treasury Analytics & Data Science (London) and is based in London (hybrid). We are seeking a builder who can move fast from idea to production-owning agentic systems end to end to increase the operational capacity of the Treasury team. The position sits at the intersection of large language models, Treasury operations, and data infrastructure. Key Responsibilities Build Treasury Agent Automation for cash flow monitoring agents: intraday cash position tracking, reconciliation, variance flagging, and automated daily reports across accounts and currencies. Build funding execution agents: instruction routing, approval workflows, payment scheduling, cut off monitoring, and settlement tracking encoded with business rules and risk parameters. Build narrative agents: auto generated end of day and intraday funding commentary, exception summaries, and context aware alerts delivered to the right stakeholders. Run discovery to deployment pipeline: work with Funding operators to identify manual tasks, then ship agents that eliminate them-reporting packs, utilisation dashboards, liquidity summaries. Embed within the Funding team at the outset, running existing workflows end to end alongside operators to develop a firsthand understanding of day to day processes, limits, and pain points before a single agent is scoped or built. Build reusable, modular agent components and tool libraries that scale as Remitly expands into new markets and corridors. Contribute to Treasury wide agent governance standards, evaluation frameworks, and shared infrastructure. Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve. Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury Agents. Qualifications Advanced proficiency with coding agents across complex development scenarios. Experience architecting multi service systems, including complex persistence, integrations, and scaling. Understanding of distributed systems trade offs and cloud based infrastructure design. AI tool fluency: orchestrators, automated workflows, comprehensive evaluation pipelines. Advanced systems architecture expertise across the full technology stack. Proficiency in customer discovery techniques and ability to connect technical work to business outcomes. Competence with design thinking, analytics tools, and funnel analysis. Experience guiding others on AI first development approaches. Expertise in experiment modelling, funnel analysis, and data informed decision making. Track record of mentoring others and elevating team capabilities. Nice to Have Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity). LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba). Startup, founder, or cross functional multi product experience. Benefits Paid vacation days. Health insurance. Commuter benefit. Employee Stock Purchase Plan (ESPP). Mental health & family forming benefits. Continuing education and corridor travel benefits. Remitly is an equal opportunity employer and complies with all applicable laws and regulations. We celebrate diversity and are committed to creating an inclusive environment.

Location London Employment Type Full time Location Type Hybrid Department Growth Location: Holborn, London Office Policy: 3 days in person, 2 days at home each week Who We Are: At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life changing prizes - all while raising money for the causes they love. Thanks to our Omaze Community, we've raised over £100 million for UK charities in just five years. That's millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life saving work. And the best part? We're only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale. About The Job As a Staff Data Engineer at Omaze, you will be a key member of Omaze's lean data function. Reporting into the Director of Data Platforms, you're at your best designing pipelines, modelling foundational datasets, and embedding quality and observability into infrastructure that people genuinely trust. You bring strong judgement to architectural decisions, raise the bar through example, and create leverage for analytics engineers, data scientists, and stakeholders across Omaze. You embrace AI assisted and agentic coding as part of how modern engineering gets done and apply it with the same judgement and rigour you bring to everything else. What You'll Be Doing Build and maintain robust ingestion and processing pipelines from our product systems, third party tools, and external partners, using modern, well tested code that holds up as the business changes. Build the data quality, observability, and lineage frameworks that make decision critical datasets trustworthy, and make problems easy to find and fix when they happen. Work with engineers across the organisation to ensure that events are properly constructed, with the right parameters and nomenclature, so that the data flowing into our platform is trustworthy by design, not by accident (potentially through data contracts). Ensure that data pipelines to external sources (e.g. paid marketing channels such as Meta) are reliably sharing appropriate, compliant data. Lay the foundations to support data science and ML work as it grows, e.g. feature pipelines, training datasets, and the platform capabilities that make those things easy when we want them. Make the cost of running our data platform visible and well understood, pushing for efficiency in the places it makes sense, and bringing judgement to when ongoing spend is justified by the value it returns. Generally take responsibility for data governance and compliance, ensuring that how we collect, store, and use data is responsible, secure, and meets the regulatory bar Omaze operates at. Use AI assisted and agentic coding tools as a natural part of your workflow; knowing when they add leverage, when to interrogate their output, and how to review AI generated code with the same rigour you'd apply to anything else. About You Extensive data engineering experience, with extensive experience across industry standard data warehousing software (e.g. Databricks, Snowflake, etc.) and server side tech (e.g. Typescript, DynamoDB, AWS Lambda, API Gateway and AWS CDK). Hands on experience with modern orchestration tooling (Aiflow, Dagster, etc.), ingestion tooling such as Fivetran (and experience building out custom scripts when the right off the shelf connector doesn't exist). A track record of building data quality, testing, and observability into platforms, not bolting them on afterwards. An understanding of data architecture strategies that can scale with the business for the next 4 years (not just the next 4 weeks!). Experience supporting ML workflows / laying the data foundations for them. The ability to bar raise through code review, mentorship, and the standards you set - not because you're told to, but because you understand why they matter. What's In It For You Generous stock options scheme. 25 days annual leave PLUS Bank Holidays. Private medical and dental insurance. 9% employer pension contributions, when you contribute at least 2%. A generous personal learning and development budget each year to use on training courses, conferences and professional memberships. Personal equipment budget to work from home. Enhanced family leave policies. Life assurance of 4x your salary. DEI Statement We actively seek out diversity of thought and experience to drive innovation. We welcome all backgrounds, identities, and perspectives and work hard to ensure that every Omaze employee can bring their authentic self to work at all times.

Role Summary Oxford Dynamics seeks a Senior Technical Project Manager to own end to end delivery of AI driven software programmes, coordinating multi team execution from scope and planning through production launch with clear SLAs, budgets, and timelines. The role bridges cutting edge AI research and practical deployment, ensuring agentic/LLM features ship safely, on time, and to quality in regulated environments where security and compliance matter. Key Responsibilities Lead multi project roadmaps managing scope, budgets, risks, RAID, milestones, and change control to deliver on time and within cost. Run Agile ceremonies (Scrum/Kanban), track burn up/burn down, and drive decisions with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers, and stakeholders. Orchestrate delivery of AI features spanning LLMs, RAG, and multi agent workflows from ingestion to inference, including offline/edge constraints where required. Partner with Tech Leads to make trade offs in design and architecture, aligning research prototypes with production requirements and service levels. Coordinate release readiness across testing, evaluation, and go live plans. Align engineering and DevOps on environments, observability, and incident response, ensuring deployments are auditable, cost aware, and reversible. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance, and compliance requirements. Own risk mitigation for compliance and security constraints typical of regulated sectors, escalating early with clear options and impacts. Translate product goals into executable backlogs and milestones, sequencing dependencies across AI, frontend, backend, and platform teams. Review GitHub PRs alongside Tech Leads to validate scope, surface trade offs, and maintain momentum without compromising quality. Represent Oxford Dynamics with customers and partners, including contributions to bids and programme inputs where needed. Drive adherence to security and quality management processes appropriate to regulated domains such as defence, aerospace, healthcare, and finance. Ensure projects maintain audit evidence for decisions, testing, and releases, with recovery plans and responsibilities defined prior to go live. Qualifications 5+ years managing software and AI programmes with multiple stakeholders, delivering production releases in fast moving environments. Proven delivery across teams using React and Python stacks (e.g., Django, FastAPI, Flask) or equivalent modern frameworks. Hands on experience coordinating projects that integrate LLMs, RAG, and related AI components into shipped products. Strong scope, requirements, and budget control; confident discussing technical trade offs and reviewing PRs with engineers. Experience in regulated environments with security and compliance responsibilities across the delivery lifecycle. SC clearance or eligibility for UK national security vetting as required by programmes. Preferred / Bonus Portfolio of shipped AI/robotics/software projects with measurable outcomes and references to regulated work where applicable. Knowledge of data security and accreditation processes; experience with offline/edge solutions or constrained deployments. Comfort presenting to senior stakeholders and contributing to business development activities and bids. Soft Skills High agency ownership from concept to launch, with a bias to clarity, iteration, and decision making under uncertainty. Excellent communication across technical and non technical audiences, enabling fast, safe progress across disciplines. Calm, structured problem solving during incidents and changing constraints, with clear follow through on actions and learning. Benefits Salary: negotiable based on experience and attitudes. Rapid career progression with meaningful ownership of core systems. Opportunity to shape the future of a fast growing, successful, early stage business. Flexible working hours. Hybrid working model. Company pension (UK Government NEST scheme) with company contributions at 4%. Private healthcare. 29 days holiday in addition to public holidays (Full Time Equivalent). Inclusive team experience for all; we believe our work is at its best when everyone feels free to be their authentic self.