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Backend Engineer (Mid or Senior) 🚀 Series-A FinTech 📍 Hybrid: City of London (3 days per week onsite) 💰 £75,000 – £95,000 + Equity + Benefits Did you know financial fraud costs the UK economy £200bn+ per year, accounting for over 40% of crime in England and Wales? This early-stage FinTech is on a mission to fight financial crime and reduce scams in online payments High-ownership, mission-driven, working with sensitive financial data. This is critical infrastructure. When it fails, real people lose money. What You’ll Do • Build the APIs and UIs banks plug into their payment flows, • Connect the investigation engine to messy, real-world data (APIs, documents, scraped sources — most of it unstructured), • Design the orchestration layer that gathers and evaluates evidence across heterogeneous systems, • Ship reliable, secure, observable production code, • Deploy and iterate on LLM-powered investigation flows (not just prototypes), • Make smart build vs buy decisions and own the trade-offs This isn’t a feature factory. You’ll design, build, ship, own. Tech: Kotlin (open to any JVM background), Python, Terraform, Agentic AI, cloud-native, event-driven services If you’ve built fault-tolerant, distributed systems before, tools matter less than judgement You’ll Have • 3+ years building production distributed systems in a startup environment, using backend languages like Java, Kotlin, Scala, Python, C++, Rust or Go, • Experience designing external-facing APIs and working with messy, unstructured data, • Shipped AI/ LLM systems beyond proof-of-concept, • Startup experience: comfortable in ambiguity, taken high ownership, • Strong instincts on trade-offs, speed vs correctness, • Computer Science degree or equivalent Why Join? • Work with a highly talented team of 8 other Engineers, • Real equity, • High-stakes technical challenges, • AI X distributed systems X regulated finance If you want to build fast, reliable AI infrastructure that banks depend on, apply with your CV.

WE ARE SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates are currently working on 2,000+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, who make a difference, who have fun, and who love their work. We help financial institutions build digital products, innovate, and transform their business models by leveraging cloud, data, and artificial intelligence. Our organization is structured around industry-focused verticals, enabling us to combine deep financial services domain expertise with strong engineering and technology capabilities. IF YOU ARE • A payment domain professional with 5+ years of experience, combining strong industry expertise with product management, and hands-on delivering digital payment solutions and consulting engagements, • A confident discovery lead who can frame complex problems, align stakeholders, define the right approach, and facilitate interviews and workshops to uncover improvement opportunities in business processes and technology, • Skilled in process analysis and structured problem-solving, including benchmarking, applying industry best practices, mapping dependencies, prioritizing initiatives, and identifying risks and assumptions, • Experienced in payments ecosystem (B2C and B2B), with a strong understanding of key industry participants: payment schemes (Visa, Mastercard), issuers, acquirers, payment service providers (PSPs), gateways, and emerging payment models, • Knowledgeable of core payments capabilities and processes, including merchant onboarding, payment methods and transaction flows, dispute and chargeback management, settlement and reconciliation, fraud and risk management, and regulatory considerations (ETA, Nacha, SWIFT, PCI DSS, SEPA), • Familiar with modern payment platforms and architecture, including payment gateways, payment orchestration solutions, SaaS payment platforms, and broader payment platform ecosystems, • Adept at creating high-quality consulting assets, such as points of view, assessments, recommendations, playbooks, and domain overview presentations, • Comfortable supporting pre-sales and client pursuits from understanding industry challenges and client insights to contributing to RFP/RFI responses, proposal narratives, business case estimates, and scope definition, • A strong communicator in English (C1) who can tailor messages effectively for subject-matter experts, managers, and C-level stakeholders, • Practical with industry and collaboration tools, including PowerPoint, Visio, Miro (or similar), and AI-based productivity tools such as GPT, Copilot, or Claude, • A trusted-advisor mindset holder capable of quickly building credibility, listening first, and keeping discussions focused on outcomes and business value, • Knowledgeable of data governance and privacy principles and disciplined in handling sensitive client information, • Experienced working with e-commerce merchants, payment gateway integrations, and settlement and reconciliation processes (as an advantage), • An expert in collaborating with engineering teams to deliver product roadmaps, product analytics, or conversion optimization initiatives (would be a plus), • Industry certifications or ongoing professional development in payments, fintech, or digital product management: CPP, VPP, MPP, APRP, AAP, PCIP or similar (would be a plus) AND YOU WANT TO • Shape how SoftServe serves Payments companies globally, • Work directly with executives of fintechs, PSPs, and payment platforms, • Lead discovery engagements that turn business challenges into digital transformation roadmaps, • Build accelerators, frameworks, and thought leadership for the payments industry, • Help clients improve merchant experience, payment performance, risk management, and operational efficiency, • Guide delivery teams to ensure solutions align with industry best practices, • Represent SoftServe’s payments expertise in industry events and client discussions TOGETHER WE WILL • Turn your payments expertise into real transformation programs, • Work with global clients and cross-functional teams across consulting, engineering, and product, • Build the next generation of digital payment solutions, • Grow a global payments practice with strong industry recognition, • Support your professional development and thought leadership All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status. SoftServe is an Equal Opportunity Employer.

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabing Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview As a Data Engineering Lead, you will manage a team of Data Engineers whilst remaining hands-on with delivery and architecture. You'll be providing technical leadership and mentorship to your team, and writing clean, maintainable, and well-tested code. You will be accountable for our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You will set technical direction, drive standards, and ensure high-quality execution across the team. You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability. What You'll Do • Own the architecture, roadmap and delivery for our configuration-driven data framework in Databricks and our Snowflake warehouse., • Manage and mentor a team of Data Engineers in a player/coach capacity., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • Evolve a configuration-driven platform enabling non-engineers to define regulatory logic., • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments., • Implement robust data quality controls including testing, validation, monitoring, and alerting., • Drive performance optimization across Spark and Snowflake workloads., • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs., • Improve engineering standards, processes, and tooling across the data function. Must-Haves • Experience leading an Engineering team., • Experience building data pipelines using Python and PySpark., • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments., • Able to write and optimize complex SQL queries on large data sets., • Strong data modeling and warehouse design fundamentals., • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability), • Experience with modern cloud data platforms and orchestration tools., • Ability to translate complex regulatory requirements into technical specifications., • High ownership mindset and accountability for delivery and reliability. Nice-to-Haves • Experience with Kafka or other event streaming platforms., • Hands-on experience with AWS cloud infrastructure., • Experience building new data platforms or modernizing legacy systems., • FinTech, RegTech, or financial services background. Perks & Benefits • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

About Us At Ingentive, we are a Microsoft Elite Partner recognised as one of the Great Places to Work, and proud to hold all seven Microsoft solution designations. As a member of the Microsoft Inner Circle, we rank in the top 1% of partners globally, and were recently named Microsoft’s #2 enterprise partner for driving advanced agentic AI transformations. We specialise in transforming business systems through AI-led application development and process optimisation, with a strong focus on both Power Platform, the Dynamics 365 stack for CRM and ERP. Our mission is to help organisations unlock value by combining intelligent agents, natural language interfaces, and low-code platforms to build scalable, governed solutions that solve real business challenges. Award-winning and innovation-driven, we are at the forefront of the shift from traditional low-code to intelligent business applications empowering fusion teams to deliver faster, smarter, and more impactful outcomes. The Role An exceptional Digital Transformation Consultant, advising and guiding prospects and clients on the adoption of Dynamics 365, Microsoft CoPilot, Power Platform and AI‑driven productivity, automation, and compliance solutions. You will play a key role in shaping modern workplace, information governance, security, compliance, and intelligent automation strategies, helping organisations realise value from secure, well‑governed, AI‑enabled Microsoft ecosystems. You will work closely with senior stakeholders to design and deliver transformation initiatives across data protection, information lifecycle management, compliance, collaboration, Copilot readiness, and intelligent process automation, while ensuring solutions are scalable, secure, and aligned to measurable business outcomes. Essential Expertise • 8+ years’ experience in consulting or technical advisory roles, with strong depth in Microsoft 365 and the modern workplace, • Strong understanding of Microsoft 365 security, governance, and tenant architecture, • Experience enabling and governing Microsoft 365 Copilot, including data readiness and risk mitigation, • Strong understanding of intelligent automation concepts, including Power Automate for workflow orchestration and AI Builder for embedding AI capabilities into business processes within governed environments, • Ability to translate compliance, risk, security, and automation requirements into business‑focused transformation roadmaps, • Exceptional stakeholder engagement skills, including C‑suite and senior risk/compliance leaders, • Proven ability to articulate business value, risk reduction, and ROI for Microsoft 365, Copilot, and automation initiatives Desirable Expertise • Experience with Power Platform, including Power Automate and AI Builder, alongside Dynamics 365, within a governed enterprise environment, • Ability to advise on automation strategy, guardrails, and value realisation, rather than hands‑on build only, • Knowledge of Microsoft Defender, Entra ID, and Zero Trust principles, • Background working with regulated industries (e.g. financial services, public sector, healthcare), • Microsoft certifications across Microsoft 365, Security, Compliance, or Power Platform, • Prior experience in partner or strategic advisory roles Responsibilities Microsoft 365 Strategy & Governance • Design Microsoft 365‑led transformation roadmaps aligned to security, compliance, productivity, and AI adoption goals, • Conduct data, security, and Copilot readiness assessments, identifying risk and optimisation opportunities, • Define governance models that balance innovation, intelligent automation, and regulatory compliance Solution Design & Advisory • Architect secure, scalable solutions across Microsoft 365, Copilot, and Power Platform, • Advise clients on information protection, data lifecycle management, and compliance operating models, • Support AI and Copilot adoption by ensuring data is structured, protected, and appropriately governed Intelligent Automation & AI Enablement • Advise clients on the strategic use of Power Automate to optimise and orchestrate secure, compliant business processes across Microsoft 365 and Dynamics 365, • Guide adoption of AI Builder to embed AI‑driven capabilities such as document processing, prediction, and classification into low‑code solutions, • Ensure automation and AI solutions align with data governance, compliance, and risk frameworks, • Support organisations in moving from tactical automation to scalable, enterprise‑wide intelligent automation programmes Client Engagement & Delivery • Lead executive‑level workshops focused on modern workplace transformation, intelligent automation, and risk reduction, • Deliver clear, compelling recommendations that resonate with IT, security, compliance, and business leaders, • Build trusted, long‑term client relationships as a strategic Microsoft advisor Thought Leadership • Contribute to Ingentive’s thought leadership across Microsoft 365, Power Platform (Power Automate & AI Builder), and AI governance, • Stay current with Microsoft’s evolving security, Copilot, and automation roadmap, • Continuously refine methodologies and best practices Teammates’ Benefits • Bonus Schemes, • Life Assurance, • Private Medical Cover, • Group Income Protection, • Great Company Pension, • Enhanced Sick Pay, • Enhanced Family Leave Pay, • Volunteering Leave, • Teammate Recognition Scheme, • Loyalty Award Scheme, • 24/7 access to EAP including Wisdom AI app, • Access to Bright Exchange online marketplace, • Remote working with the option to work from our Central London office Our Purpose and Values Vision – Empowering enterprises to their full potential with intelligent Microsoft solutions Mission – To create frontier enterprises Values – Passion, Performance, Partnership Successful applicants must have the right to work in the UK and a basic DBS check is required for this position. Ingentive are committed to equality of opportunity, diversity, and inclusion. We welcome applications from all suitably qualified candidates and will provide reasonable adjustments during the recruitment process where possible.

Reward Gateway | Edenred is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well-being solutions. Guided by our shared missions of ‘Making the World a Better Place to Work’ and ‘Enriching Connections, For Good’, we are committed to transforming workplaces and improving people’s daily lives. Due to continued business growth, we are looking for a Lead AI Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‑on team lead who builds and ships customer‑facing, production‑grade AI, solving complex problems, shaping long‑term strategy, and rolling up their sleeves to help teams adopt practical, reliable AI every day. You will architect and build production-ready AI systems, guide technical decision-making, and ensure we deliver meaningful products for our clients and employees. Key Responsibilities • Architect, build, and ship production-grade AI / Generative AI products using LLMs, RAG, agents, strong context strategies, and responsible guardrails., • Lead a small team (initially 2 AI engineers) and scale it; partner with Product using a working backwards mindset; set objectives, run Agile/Scrum, coach, and make fast, high-quality decisions., • Drive 10x productivity with AI agents and AI coding assistants while maintaining high standards for code quality, testing, reviews, and observability, taking full ownership of AI outcomes., • Evolve POCs into measurable solutions with clear metrics, A/B tests, online evaluation, and lightweight models., • Own end-to-end workflows: data pipelines, evaluation and benchmarking, instrumentation, human-in-the-loop validation, and compliance., • Operate on AWS and Kubernetes with CI/CD, infrastructure as code, monitoring, performance, and cost control., • Make pragmatic choices, including LLMs, prompting vs fine-tuning, embeddings and vector search, hybrid search; ensure privacy, PII protection, and enterprise controls. Skills, Knowledge and Expertise • Hands‑on leader who has built and shipped production AI and full‑stack systems., • Python first; testing and CI/CD; fluent with AI coding assistants (Cursor, Copilot, Claude Code) and accountable for outcomes, • Applied LLMs: Claude or similar; RAG, agents, prompt engineering; embeddings + vector DBs; hybrid search; evaluation/benchmarking, • Data engineering: ETL; SQL/NoSQL design; data sourcing/ingestion with governance and quality, • Cloud/platform: AWS, Kubernetes, Docker; infrastructure as code; observability, • Advanced retrieval/reranking and context/chunking strategies; offline/online evaluation frameworks, • ML data lifecycle: feature engineering; train/val/test splits; dataset versioning; pipeline orchestration; production monitoring for drift/quality, • Ability to contribute to React, TypeScript, and PHP codebases, • Cost and performance at scale: model routing, caching, token/latency budgets; SLOs (e.g., p95 latency, availability) The Interview Process • Online interview with the Talent Partner and the Director of AI Engineering, • Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.

Java Architect (with Capital Markets exp.) Project description We are building an end-to-end client lifecycle management solution, where technology drives procedural automation and standardization. Our solution includes industry-leading modules and tools widely adopted by financial institutions. This strategic initiative spans the entire client lifecycle—from onboarding to maintenance and offboarding—while providing seamless integration with various in-house products such as Counterparty Manager, ISDA Amend, Outreach360, Request for Amendment, KYC, and Tax Utility. We leverage a mature Java/Spring Boot-based tech stack, supported by AWS infrastructure, along with the latest advancements in the industry to deliver this solution over a multi-year span. Responsibilities • Working across backend, front-end, data, and AI functions, with a focus on modern architectures, AI-driven automation, and cross-jurisdictional data compliance., • Design and architect solutions for complex business challenges in the client lifecycle management space, utilizing your extensive experience with the Java/Spring Boot/Angular/PostgreSQL tech stack and AWS infrastructure., • Provide guidance and technical leadership to development teams on best practices, coding standards, and software design principles, ensuring high-quality outcomes., • Demonstrate a deep understanding of existing system architecture (spanning multiple systems) and creatively envision optimal implementations to meet diverse client requirements., • Play a key role in the development team to create high-quality, high-performance, and scalable code., • Troubleshoot and resolve complex software issues and defects within the Java/Angular/PostgreSQL tech stack and AWS-based infrastructure., • Build systems for KYC, AML, FATCA/CRS, LEI, and other regulatory checkpoints., • Implement automation across entity matching, data validation, and workflow orchestration using AI/ML., • Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling., • Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns)., • Bring in proven experience working with or on Client Lifecycle Management and/or KYC workflow solutions, demonstrating a strong grasp of the subject matter. Skills Must have • Strong Core Java 8+/Java EE design skills, including design patterns., • Significant experience in designing and executing microservices using Spring Boot and other Spring components (JDBC, Batch, Security, Spring Data, etc.)., • Proficient in messaging tools such as Active MQ, SQS, SNS, and Kafka., • Expertise in optimizing SQL queries on PostgreSQL databases., • Strong experience with multithreading, data structures, and concurrency scenarios., • Proficient in using REST APIs, XML, JAXB, and JSON in creating layered systems., • Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS)., • Familiarity with Open AI APIs, Agentic AI – Crew / LangChain / RAG / AutoGen / NLP / Java / Python / REST / Telemetry / Security / Auditability., • Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding of the client onboarding lifecycle: initiation, due diligence, approvals, legal entity structuring, and regulatory documentation., • Hands-on experience with entity resolution and matching (graph-based ID resolution, fuzzy match frameworks)., • Proven experience leading a development team on client lifecycle management products., • Experience with enterprise architecture frameworks (TOGAF, Zachman) and threat modeling (STRIDE)., • Knowledge of data partitioning, GDPR, and the latest UI trends, such as Micro Frontend Architecture, is desirable., • Experience with Pega / Appian is a plus

About the Role: We are seeking a highly motivated and experienced Sales Development Representative (SDR) to join our expanding team. The ideal candidate will have a strong background in outbound sales, particularly within the UK and German market and skilled in leveraging AI tools to multiply their efforts. As an SDR, you will play a critical role in identifying and engaging potential clients, nurturing relationships, and ultimately driving revenue growth through outbound efforts. What will you do: • Conduct outbound prospecting activities to generate new business opportunities within the UK and German markets, • Discover new accounts not created in our CRM and ensure their accurate documentation within the system, • Attend events and industry conferences to network and generate leads (~ 4-8x a year ), • Collaborate closely with the sales team to develop and execute effective prospecting strategies, • Leverage your expertise in SaaS solutions to articulate the value proposition of CleverTap's platform to potential clients, • Utilize a variety of tools, including Salesforce.com, Sales Navigator, Lusha, Outreach, and Apollo, to streamline sales processes and maximize efficiency, • Engage with prospects via phone calls, emails, and social media to establish rapport and understand their business needs, • Conduct thorough research on target accounts and industries to tailor outreach efforts effectively, • Maintain accurate records of interactions and opportunities in our CRM system What are we looking for? -Experience in Partnerships, Alliances, Channel, or Business Development in a B2B SaaS environment -Strong hands-on execution mindset being comfortable building partnerships from zero to one -Experience working with technology partners, system integrators, resellers amd implementation partners -Solid understanding of indirect sales models, including resellers and implementation-led deals -Excellent relationship-building and stakeholder management skills, both internally and externally -Comfortable working in fast-paced, ambiguous environments and taking ownership end to end -Understanding of the MarTech domain Why join us? • Contribute to a product backed by 11 technology patents, showcasing industry-leading innovation., • You are passionate about technology and its impact on the high-growth mobile technology space, • Power personalized engagement at scale, processing over 30 billion events daily and reaching 3+ billion devices worldwide., • Flourish in an environment that nurtures Growth and Curiosity Learn More Get to know us better before you apply! Check out our product documentation, blog, and customer stories to see how we work and what we value. • CleverAI, • Blogs, • Redefining Customer Engagement in the AI Era, • TesseractDB™, • CleverTap Product Demo About CleverTap: CleverTap is the world’s leading AI-first, all-in-one customer engagement and retention platform, redefining how brands build lasting customer relationships in the Agentic era. Powered by its proprietary CleverAI™ Decisioning Engine and the Agentic Universe, CleverTap enables autonomous, real-time decision-making that helps organizations deliver 1:1 individualized experiences at scale while maximizing ROI.Its unified platform brings together an AI-native Personalization Engine, automated Journey Orchestration, its proprietary Customer Data Platform – TesseractDB™, and deep customer and product analytics to power truly intelligent, self-optimizing engagement across channels including mobile, web, email, SMS, WhatsApp, and more. By seamlessly connecting data, insights, and activation, CleverTap ensures every interaction is contextual, coordinated, and conversion-driven. Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Personalization Engines and a Strong Performer in The Forrester Wave™, CleverTap is at the forefront of the shift from campaign-led marketing to agent-led growth. Trusted by more than 2,000 global brands including IKEA, Tesco, Burger King, Levi’s, Decathlon, Domino’s, 7-Eleven, Jio, Grab, Carousell, and Emirates NBD, CleverTap helps businesses drive measurable growth through meaningful, autonomous customer engagement.Backed by Accel, Peak XV Partners, Tiger Global, CDPQ, and 360 One, CleverTap has 600+ employees across offices in the US, Europe, the Middle East, Asia, and LATAM. For more information, visit or follow us on Linkedin and X.Join us in shaping the future of engagement. • CleverTap is dedicated to establishing an inclusive culture that welcomes individuals from diverse backgrounds, encouraging them to contribute their unique perspectives to our workplace.

About the Role: Grade Level (for internal use): 11 About the Role: The Associate Director, Adobe Real-Time CDP Product Management is part of the Martech function within the Enterprise Marketing Strategy & Demand Generation Centre of Excellence, reporting to the Director of Marketing Data Enablement & Automation. This is a business-facing role embedded in the Marketing organization, and requires close coordination with Corporate Technology counterparts who oversee Martech, Automation, Analytics, Data Architecture, Integrations, and Governance. The CDP product lead partners with campaign teams, analytics, data ops, and IT to operationalize audience-centric marketing through Adobe Experience Platform (AEP), ensuring a unified customer view and activating data across channels. Responsibilities: • Lead the strategy, roadmap, and hands-on implementation of Adobe Experience Platform (AEP) Real-Time CDP., • Develop a Center of Excellence for solution design and business consultation to marketing users and IT stakeholders and a Shared Services strategy to guide implementation of CDP features and integrations, • Manage CDP architecture, administration, and data governance linked to Marketing Data Framework., • Translate business needs into CDP use cases, leading the system-wide development of Ideal Customer Profile., • Partner with BI Engineers following the marketing data framework to develop ingress and egress data pipelines to/from CDP., • Drive data orchestration from the CDP platform to personalize experiences across marketing channels (emails, website, paid media)., • Guide and support audience segmentation, identity resolution, and journey orchestration., • Collaborate with privacy and compliance teams to ensure proper handling of PII and data policies., • Monitor KPIs related to product adoption, product ROI, customer segment performance, coverage, and orchestration quality. What We're Looking For: Basic Required Qualifications: • Bachelor's degree in computer science, Information Systems, or related field, • 7+ years of experience in data management, Martech, or enterprise marketing technology, • 3+ years directly working with Adobe RTCDP or equivalent CDPs, • Strong experience with data cleansing, structuring, modeling, identity resolution, and segmentation logic, • Demonstrated expertise in ETL workflows, APIs, and real-time data syncs, • Demonstrated familiarity with the Adobe Suite (e.g., Adobe Analytics, Adobe Launch, Adobe Marketo, Adobe Target), • Familiarity with JavaScript, SQL, JSON, and cloud environments (e.g., AWS, Azure), • Understanding of customer lifecycle and how data supports cross-channel engagement, • Ability to communicate complex data concepts to marketing and business stakeholdersAdditional Preferred Qualifications:, • Adobe certifications related to AEP/CDP preferred, • Experience working with RESTful APIs and real-time integration patterns, • Familiarity with commercial analytics, Salesforce ecosystem a plus, • Prior experience with data clean rooms, privacy policy frameworks, or GDPR/CCPA compliance, • Background in agile product development or digital transformation projectsWhat's In It for You, • Strategic Ownership: Lead the enterprise roadmap for Adobe Real-Time CDP as the system of record for audience segmentation., • Operating Model: Lead the thinking on customer data by building a Center of Excellence and operationalize via Shared Services., • Cross-Functional Influence: Partner with teams across marketing, data science, and IT to activate high-impact use cases., • Tech-Driven Impact: Operationalize data architecture and integrations that enable AI, personalization, and measurement., • Innovation Platform: Help shape the next-generation marketing stack built on first-party data and advanced analytics., • Enterprise Visibility: Directly influence how S&P Global uses customer data to drive pipeline, personalization, and compliance.Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), MRKTNG202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

I’m partnering with an ambitious industrial technology startup focused on rebuilding advanced manufacturing capacity in the West. The company is developing a network of distributed, software-defined factories designed to help hardware companies iterate faster and scale production efficiently. They are now hiring a Full Stack Software Engineer to help build and scale their proprietary factory operating system, the core software platform that powers factory automation, operational intelligence, and production orchestration across their network of facilities. Key Responsibilities: • Architect, design, and develop critical systems supporting factory automation, real-time data processing, and operational workflows., • Own full-stack development across infrastructure, backend services, frontend interfaces, and monitoring tools., • Work closely with leadership and factory-floor teams to identify operational bottlenecks and translate them into impactful software solutions., • Deploy and iterate on software rapidly, working closely with manufacturing operations to directly control and optimize production., • Lead projects from concept through deployment, ensuring systems are reliable and fault-tolerant in high-stakes industrial environments., • Build systems that optimize machine utilization and orchestrate production across a distributed network of factories. Key Qualifications: • 2–5 years of professional software engineering experience (exceptions made for exceptional candidates)., • Experience working as a founder, founding engineer, or early employee at a fast-paced startup, or engineering experience at a top-tier VC-backed technology company., • Background in aerospace, defense, or other high-performance engineering organizations is advantageous., • Experience building frontend-heavy SaaS applications with strong attention to UX., • Familiarity with TypeScript, React, Postgres, and AWS., • Strong generalist mindset with the ability to work across the stack and operate independently in high-autonomy environments., • Deep motivation to contribute to the rebuilding and onshoring of advanced manufacturing capability.

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 with the subject line: “Application Support Request”. Role: ServiceNow – Business Analyst (HRSD) Job Type: Full Time Location: London / Hybrid Number of hours: 40 hours per week – full time Ready to utilize your experience and expertise in ServiceNow. We have an exciting role for you – ServiceNow – Business Analyst (HRSD). Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Build strong relationships with a diverse range of stakeholders., • Gain access to endless learning opportunities. As a ServiceNow Business Analyst you will be responsible for conducting HR specific process workshops (e.g., onboarding and off-boarding, Payroll, Benefits) and obtaining functional requirements. You will be leading your team through requirements gathering and sprint design sessions for the ServiceNow HRSD application. You must work closely with client stakeholders to document baseline current state HR Service Delivery operations Developing detailed implementation plans for deploying the HR Service Delivery product including establishing key milestones, points of value, and finalizing budget/scope and high-level architecture. Key responsibilities: • Understand the customer environment for the Business processes and IT processes, • Lead the design, development, and configuration of ServiceNow applications in ITSM- HRSD modules and custom applications., • Develop advanced scripts, business rules, UI policies, client scripts, and workflows using JavaScript, Glide API, and other relevant technologies., • Design and implement complex data models, tables, and relationships to meet business requirements, • Design and develop integrations between ServiceNow and other enterprise systems using REST, SOAP, Integration Hub, and other API technologies., • Implement automation solutions using Flow Designer, Orchestration, and other ServiceNow tools to streamline business processes., • Develop and enforce best practices for ServiceNow development, including coding standards, testing protocols, and documentation., • Conduct code reviews and provide feedback to ensure the quality and maintainability of the platform., • Stay up to date with the latest ServiceNow releases and features and drive the adoption of new capabilities. Your Profile Essential skills/knowledge/experience • Develop and enforce best practices for ServiceNow development, including coding standards, testing protocols, and documentation., • Conduct code reviews and provide feedback to ensure the quality and maintainability of the platform., • Stay up-to-date with the latest ServiceNow releases and features, and drive the adoption of new capabilities., • Lead or contribute to the planning and execution of ServiceNow projects, including requirement analysis, solution design, and implementation., • Work closely with business analysts, project managers, and stakeholders to ensure that solutions meet business needs and align with project timelines., • Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives., • Provide advanced support for ServiceNow applications, troubleshooting complex issues and implementing long-term solutions., • Manage and optimize platform performance, ensuring stability and responsiveness., • Evaluate the tool stability and performance and provide recommendations, • ServiceNow Certified System Administrator (CSA) or Certified Implementation Specialist (CIS) certifications. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes. You’ll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA+ & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabing Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview As a Senior Data Engineer, you will be developing our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will be providing technical leadership and mentorship to your colleagues. You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability. What You'll Do • Design and evolve our configuration-driven data framework in Databricks and our Snowflake warehouse., • Mentor Junior members of the team, aiding their growth and acting as a force multiplier through your technical leadership., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments., • Implement robust data quality controls including testing, validation, monitoring, and alerting., • Drive performance optimization across Spark and Snowflake workloads., • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs., • Contribute to the continuous improvement of our development processes and tools. Must-Haves • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark., • Able to write and optimize complex SQL queries on large data sets., • Strong data modeling and warehouse design fundamentals., • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability), • Experience with modern cloud data platforms and orchestration tools., • Comfortable translating complex regulatory requirements into technical specifications., • Ability to work autonomously with a high degree of accountability for the systems you build and maintain. Nice-to-Haves • Experience with Kafka or other event streaming platforms., • Hands-on experience with AWS cloud infrastructure., • Experience building new data platforms or modernizing legacy systems., • FinTech, RegTech, or financial services background. Perks & Benefits • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling and more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications, • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness, • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics, • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions, • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations What we offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to shape a breakthrough healthcare AI solution, • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum qualifications • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome), • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline, • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks), • Experience with agent orchestration frameworks (e.g., LangGraph), • Strong software engineering fundamentals such as writing clean code, version control, testing, • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred qualifications • Experience building voice AI or conversational AI systems, • Experience with patient-facing systems, • Familiarity with cloud infrastructure (GCP, AWS, or Azure), • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides: • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies, • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth, • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology), • Expert Network: Established connections across pharma, payers, and providers, • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.

Site Reliability Engineer (SRE) – GPU Infrastructure Data Centres Fully Remote Role - Work from home The Site Reliability Engineer (SRE) is responsible for the end-to-end validation, testing, and readiness of GPU compute clusters prior to production release. The role ensures that all hardware, networking, and system components meet operational and reliability standards before customer workloads are deployed. Working closely with global infrastructure and engineering teams, the SRE plays a critical role in maintaining the quality, stability, and integrity of high-performance compute environments. Key Responsibilities Cluster Validation & Testing • Validate GPU clusters of varying sizes to ensure hardware and system integrity prior to production release, • Perform functional and reliability testing of GPUs, servers, and associated components, • Verify network connectivity and performance, including high-speed interconnects where applicable Orchestration & Benchmarking • Provision and configure GPU clusters using automated workflows, • Execute and analyse performance and stability benchmarks orchestrated via a workload scheduler, • Validate results against expected performance and reliability thresholds Test Framework & Automation • Maintain and extend the automated validation framework built using Python and Ansible, • Integrate new test cases to support additional hardware platforms and GPU generations, • Improve test reliability, coverage, and execution efficiency Remediation & System Integrity • Diagnose and remediate unhealthy nodes through configuration changes or software fixes, • Coordinate with on-site support teams for hardware replacements when required, • Ensure all issues are resolved and documented prior to handover to production operations Documentation & Handover • Produce clear, accurate documentation of test results, hardware states, and remediation actions, • Ensure smooth handovers to operations and engineering teams, • Maintain up-to-date runbooks and validation procedures Team Collaboration & Training • Work as part of a distributed, international infrastructure and engineering team, • Participate in knowledge sharing, process improvement, and technical reviews, • The working language is English; additional language skills are beneficial Shift & Availability Requirements • Ability to work independently within a remote environment, • Reliable internet connection and suitable home working setup, • Role is fully remote; company hardware will be provided Skills & Experience Essential • Strong hands-on experience administering and troubleshooting Linux systems, • Confident use of CLI tools for diagnostics, including analysis of kernel logs, drivers, and system services, • Proven experience writing and maintaining Ansible playbooks, • Proficiency in Python for automation, test execution, and parsing results, • Strong analytical and problem-solving skills with attention to detail, • Excellent written and verbal English communication skills, • High standards for system reliability, consistency, and documentation Preferred / Desirable • Experience working with GPU-based or high-performance compute environments, • Familiarity with workload schedulers (e.g. Slurm or similar tools), • Understanding of data centre hardware lifecycle and server validation processes, • Exposure to high-speed networking technologies, • Experience working with distributed or remote infrastructure teams Performance & Success Metrics • Accuracy and completeness of cluster validation prior to production release, • Reduction in post-deployment hardware or configuration issues, • Quality and clarity of validation documentation and handover materials, • Effectiveness of remediation and coordination with on-site teams, • Reliability and maintainability of automated test frameworks, • Collaboration and communication quality with engineering and operations teams

Founding Engineer (Platform) Location: Remote first (global, UK timezone) Compensation: Up to £120,000 + significant equity Type: Full-time What is DeepFlow? DeepFlow is the hyperscaling platform. We launch and scale AI-native businesses. An operator with 10 years of domain expertise pairs with DeepFlow’s platform and engineering support to build a business that would previously have needed a team of 50. You’re building that platform. Where we are now • Platform live with paying customers across law, finance, recruitment, and media, • Launching our founding cohort through DeepFlow Foundry: deploying agents into real revenue-generating businesses, • Preparing for a significant raise to scale from 2–3 companies to 10+ by September, with a roadmap to 100 in 2027, • Research team published at AAAI 2026 (invited oral) and DAI 2025, with work adopted by top global universities and companies The Role You own the platform. The orchestration engine, the infrastructure, the client-facing dashboards, the integrations, the APIs - everything that isn’t the AI agents themselves. Your architecture decisions directly determine whether the businesses on our platform succeed at scale. This is a full-stack, high-ownership founding role. You work directly with the CTO/CPO and CSO to shape product direction. Significant equity reflects the scope and impact of the position. What You’ll Build • Orchestration Engine: Event-driven task graph execution - breaking complex business workflows into composable steps, delegating to the right agent or human at the right time, with robust failure handling and retries., • Core Platform: Auth, API endpoints, integrations (Slack, GSuite, CRMs, accounting tools), and dashboards. Everything that Foundry companies and their clients interact with daily., • Infrastructure: Docker, EKS on AWS, CI/CD, monitoring, and cost management. You own the full stack from development through to production., • Frontend: Client-facing dashboards, internal tools, and admin interfaces. This is a genuine full-stack role - you own the frontend, not just unblock yourself on it., • Product Direction: You work closely with the founding team to translate cohort feedback and client needs into engineering decisions. What to build matters as much as how you build it. What We’re Looking For • Strong software engineering - you write clean, production-quality code and you ship fast. You’ve built and deployed real systems, not just prototypes., • Genuinely full-stack. Backend, infrastructure, and frontend (React/TypeScript). You don’t wait for someone else to build the other half., • Experience with event-driven or workflow orchestration systems. You understand what breaks when you move beyond simple request-response., • Comfortable with AWS (EKS, IAM, networking) and modern CI/CD practices., • Fluent with modern AI tooling - you use Cursor, Claude Code, or similar daily and it makes you faster. AI tooling is not optional here., • Comfortable with ambiguity and startup pace. Priorities shift weekly based on cohort feedback., • Right to work in the UK permanently. We care less about • Your degree (or lack of one), • How many years you’ve been working - we care about what you’ve shipped, • Whether you’ve published papers Tech Stack • Backend: Python, • Frontend: TypeScript, React, Vite, • Infrastructure: AWS (EKS), Docker, Inngest (event-driven orchestration), • Tools: Cursor, Claude Code, GitHub Why Join • Ownership. Significant equity as a founding engineer. The platform you build is the platform every Foundry company runs on., • Real traction. Paying customers, founding cohort live, and a significant raise in preparation. What you build in the next 6–12 months directly determines whether we hit 10 companies by September., • Exceptional team. Co-founder who sold his AI company to WPP for $100M. Product leader who scaled a Meta platform to 400K+ users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead., • Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. We’re hiring immediately. The process is fast: we make offers within one week.

Senior Software Engineer The Opportunity On behalf of a global powerhouse in FinTech Infrastructure, we are seeking a Senior Software Engineer. Our client operates one of the largest financial networks, serving as the digital backbone for thousands of global financial institutions. This is a senior-tier appointment for an engineer who excels at building resilient, high-concurrency systems and wants to lead the digitalization of global financial markets. The Technical Stack You will be working within a modern, engineering-first culture. The core stack includes: • The Engine: Expert-level C# and .NET Core mastery., • Architecture: Deep understanding of SOA (Service Oriented Architecture) and complex Object-Oriented design patterns., • System Dynamics: Specialized knowledge of concurrency, asynchrony, and parallelism—essential for real-time transactional processing., • Data & Web: High proficiency in SQL Server, Web API design, and modern front-end fundamentals (HTML/CSS/JS)., • Reliability: A strict practitioner of TDD (Test Driven Development) and robust CI/CD processes. Desired Innovations Our client is actively modernizing. Exposure to the following is highly valued: • Cloud & Orchestration: Azure ecosystems, Docker, and Kubernetes (AKS)., • Messaging Patterns: Enterprise systems like Azure Service Bus or NServiceBus., • Next-Gen Tech: Experience with Blockchain development or Cryptographic concepts is a significant plus., • Modern UI: TypeScript and Angular for responsive, data-heavy interfaces. Your Impact • Technical Leadership: You will participate in defining the technology and process strategy, occasionally leading high-level innovation or software design initiatives., • Full-Lifecycle Ownership: Design, document, and communicate system solutions that balance high performance with security and cost-effectiveness., • Collaboration & Mentorship: Act as a "Technical Enabler," bridging the gap between deep engineering and business-led requirements while mentoring junior talent., • Innovation: Drive the modernization of global financial infrastructure, replacing frictional legacy processes with fast, efficient, and scalable digital services. Who You Are • FinTech Professional: You have a deep commercial background in Financial Services, Payments, or Transactional Systems. You understand the stakes of high-volume, regulated data., • Team-Centric: You thrive in an Agile environment where team dynamics and peer reviews are taken seriously., • Strategic Thinker: You can contextualize your technical work for non-technical stakeholders and have a passion for "big picture" system evolution. Package & Culture • Salary: £90,000-£100,000 per annum + Performance-related Bonus., • Flexibility: A balanced Hybrid model out of a state-of-the-art Central London office., • Benefits: Industry-leading pension, private healthcare, and a culture that prioritizes professional growth.

About My Client My client believes that everyone should be able to access, understand, and manage their money with confidence. Their ambition is to improve lives by providing clarity, intelligence, and technology that empowers individuals to make smarter financial decisions. While they are an emerging organisation, they have built a highly capable team and have ambitious plans for continued growth. My client designs products to simplify financial decision-making and provide customers with greater control and flexibility. Their solutions help customers maximise their financial position and spend less time worrying about money, allowing them to focus on what matters most. About the Role My client is seeking a highly capable Operational Risk and Incident professional to take ownership of their enterprise-wide Risk Event and Incident Management process. This role sits within the Second Line of Defence, supporting the Chief Risk Officer (CRO) in ensuring the identification, escalation, governance, and remediation of risk events across the organisation. The scope is broad and covers multiple areas including Operations, Finance, Product, Commercial, Credit Risk, Data, and Technology. This individual will act as a central coordination and control point, ensuring risk events and incidents are properly understood, prioritised, analysed, and remediated in a way that protects customers, supports commercial objectives, and meets regulatory expectations. This is a highly visible role involving direct engagement with senior leadership, including presenting reporting and insights to the Executive Risk Committee. Key Responsibilities Risk Event & Incident Lifecycle Management • Own the end-to-end lifecycle of risk events and incidents, ensuring timely logging, classification, investigation, and closure, • Maintain consistent approaches to impact assessment and severity ratings aligned with internal thresholds and regulatory expectations, • Ensure high-quality root cause analysis, identifying control gaps, process failures, and behavioural or cultural drivers, • Translate complex incidents into structured, evidence-based records suitable for audit and regulatory scrutiny Prioritisation, Coordination & Orchestration • Coordinate cross-functional responses involving Product, Technology, Data, Operations, Credit, Commercial, Finance, and Compliance teams, • Prioritise effort and resources, particularly where multiple concurrent incidents are occurring, • Apply judgement to recommend escalation pathways, response timing, and closure criteria, • Drive accountability and ensure remediation actions are completed while balancing operational realities Governance, Reporting & Executive Visibility • Produce reporting packs for senior leadership and the CRO, including trend analysis, thematic insights, and forward-looking risk views, • Present analysis and findings to the Executive Risk Committee, • Maintain strong audit trails and documentation to support internal audit, external audit, and regulatory requirements, • Escalate emerging or material risks promptly with clear impact assessments and recommended actions Insights, Themes & Continuous Improvement • Identify patterns and recurring control weaknesses across risk events, • Support the development of Key Risk Indicators (KRIs), dashboards, and management information, • Recommend practical improvements aligned with risk appetite, customer outcomes, and commercial priorities, • Promote proactive risk awareness and preventative behaviours across the organisation Policy, Process & Framework Support • Strengthen and embed the Risk Event and Incident Management framework, including taxonomy, thresholds, and escalation paths, • Support adoption and integration of risk processes into business-as-usual activities, • Contribute to process optimisation, workflow improvements, and system enhancements What Success Looks Like • Risk events and incidents are managed consistently, efficiently, and effectively, • Remediation actions are delivered on time and result in meaningful improvements, • Senior leadership trusts the quality and clarity of risk insight and reporting, • Emerging themes and risks are identified and addressed proactively, • Operational risk maturity improves across the organisation, • Customer outcomes and commercial objectives are protected Regulatory & Conduct Expectations My client maintains a strong culture of regulatory compliance and customer protection. In this role, the successful candidate will be expected to: • Act with integrity, • Demonstrate due skill, care, and diligence, • Maintain open and cooperative relationships with regulators, • Act in the best interests of customers and treat them fairly, • Uphold appropriate standards of market conduct About the Candidate Experience & Knowledge • Strong understanding of operational risk frameworks, incident management, and root cause analysis methodologies, • Proven experience managing end-to-end risk events in fast-paced environments, • Experience coordinating remediation across cross-functional teams, • Experience producing reporting and presenting insights to senior stakeholders and executive committees, • Understanding of customer, regulatory, commercial, and control impacts when assessing incidents, • Experience within consumer finance, credit cards, lending, or related financial services environments, • Familiarity with technical and operational incidents, including system outages, data issues, or processing failures, • Exposure to operational resilience concepts such as important business services and disruption management, • Experience using risk tools, data, and analytics platforms to support decision-making Skills & Mindset • Strategic and holistic thinker, able to connect risk across systems and processes, • Commercially pragmatic, balancing risk management with business needs, • Highly organised and able to manage multiple priorities simultaneously, • Strong communicator with the ability to influence and challenge constructively, • Comfortable analysing data and identifying trends and insights, • Calm and effective when managing live incidents Personal Qualities • Collaborative and relationship-focused team player, • Pragmatic and outcome-focused, • Curious and analytical, • Professional and credible with senior stakeholders, • Proactive and takes ownership

Data Engineer (Contract) – Airbyte Experience Essential We’re working with a company looking for a Data Engineer contractor to support the development and optimisation of their data platform. This role will involve working across a range of core data engineering activities, including building and maintaining pipelines, integrating data sources, and improving data infrastructure. A key requirement for this role is strong hands-on experience with Airbyte. The team relies heavily on Airbyte for data ingestion and pipeline orchestration, so candidates must have proven experience implementing, managing, and scaling Airbyte pipelines in production environments. Key Responsibilities • Build and maintain scalable data pipelines and ingestion workflows, • Integrate multiple data sources into the company’s data platform, • Work with stakeholders to ensure reliable and efficient data flows, • Monitor, maintain, and improve existing data infrastructure, • Use Airbyte extensively to manage data ingestion and pipeline workflows Requirements • Strong experience in data engineering and modern data platforms, • Hands-on experience with Airbyte is essential, • Experience building and maintaining ETL / ELT pipelines, • Comfortable working with cloud data environments and modern data tooling, • Experience integrating multiple data sources and APIs Practical Details • Outside IR35, • 2 days onsite per week (can be discussed), • Up to £575/day, • 6 months

Data Scientist Central London | Hybrid £60–70k + Equity We’re partnered with a high-growth, VC-backed FinTech in the payments space that’s continuing to invest heavily in its data capability as the business scales. They’re now looking for a Data Scientist to join their Finance & Data team and help turn complex datasets into insights that drive smarter decisions across the business. This is a hands-on Data Scientist role where you’ll be working closely with senior leadership as well as teams across product, engineering, marketing and operations. The work you do as a Data Scientist will feed directly into commercial and product decisions as the company continues to scale. You’ll analyse large datasets, build models, and create dashboards that help teams understand performance and trends across the organisation. They’re looking for a Data Scientist who can go beyond reporting and help shape decisions by challenging assumptions and translating data into clear, actionable insight. This role suits a Data Scientist who enjoys solving real problems, working closely with stakeholders, and operating in a fast-growing fintech environment. Experience needed • 2–5+ years experience as a Data Scientist, • Strong Python or R for analysis and modelling, • Strong SQL, • Strong experience working with dbt, • Understanding of data modelling and orchestration, • Solid understanding of statistics, experimentation, or quantitative analysis, • Experience working with modern data warehouses (Snowflake, Redshift etc.) Drop me a message or email if you’d like to hear more.

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Scientist (AI-Native, AWS ML Stack, Production-Focused). This is a strategic hire within a business scaling real-world AI solutions — moving beyond experimentation into production-grade, AI-powered systems embedded directly into enterprise workflows. If you are passionate about deploying scalable ML systems that deliver measurable commercial impact, this opportunity is for you. This role goes beyond model experimentation! You will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design • Design and train predictive models using AWS SageMaker, • Develop LLM-powered systems via AWS Bedrock (including Claude integration), • Build RAG pipelines combining structured and unstructured data, • Develop evaluation frameworks for accuracy, bias, and robustness, • Architect reasoning agents using advanced foundation models, • Use code-generation tooling for automation logic and integration scripting, • Orchestrate multi-step AI workflows, • Deploy AI-powered decision layers into enterprise processes, • Deploy and manage models using SageMaker (training, endpoints, pipelines), • Leverage Bedrock for foundation model access, • Implement serverless inference with Lambda & API Gateway, • Utilise S3, Glue, Athena for data processing, • Implement CI/CD for ML workflows, • Monitor performance via CloudWatch and drift detection tooling, • Build reproducible ML pipelines, • Implement model versioning and dataset tracking, • Design structured output validation and guardrails, • Monitor performance and trigger retraining cycles, • Identify high-impact AI use cases, • Translate business problems into ML system designs, • Lead experimentation frameworks (A/B testing, uplift modelling), • Mentor data scientists and collaborate closely with data engineering, • Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science • Advanced Python & SQL, • Statistical modelling & ML algorithms, • Feature engineering, • SageMaker (training, endpoints, pipelines), • Bedrock (foundation models incl. Claude), • Lambda (serverless inference), • S3, Glue, Athena, • CloudWatch, • Foundation models for reasoning workflows, • Code-generation tooling for automation scripting, • Agent orchestration frameworks, • Enterprise workflow automation tools, • RAG architectures, • Embeddings & vector stores 👤 What We’re Looking For • 6–10+ years in data science or applied ML, • Proven experience deploying ML models into production, • Hands-on experience with AWS-native ML services, • Experience building LLM-powered workflows or AI agents, • Demonstrated delivery of measurable business impact You’ll Thrive If You Have: • Strong problem-framing ability, • Systems-level thinking beyond model accuracy, • AI governance awareness, • Clear communication across technical and executive audiences, • A bias toward practical deployment over research-only outputs 💡 Example Projects You Might Deliver • Production fraud detection model deployed via SageMaker endpoint, • Internal AI copilot powered by Bedrock and embedded into workflows, • RAG-based compliance monitoring assistant, • Automated revenue forecasting pipeline with retraining triggers, • AI-driven document intelligence system (classification + extraction) 📈 What Success Looks Like • Reduced time from model prototype to production, • Stable, monitored ML endpoints delivering measurable ROI, • Improved decision accuracy in automated workflows, • Strong adoption of AI-enabled tools across the business, • Controlled infrastructure cost per inference This is a rare opportunity to build AI systems that operate at real scale within a forward-thinking technology environment. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

About Ace Waves Ace Waves is an AI-native customer service platform built for enterprise. We don't rip and replace helpdesks, we deploy a workforce of AI Customer Support agents, replacing the repetitive human work, not the systems. Our multi-agent orchestration engine trains AI agents to follow real business procedures and gives them access to the same tools your human agents use, across email, chat, and voice. Our technology is in production with enterprise clients and the results are measurable. Clients have cut support costs by 60%, saved $1M annually, and reduced ticket resolution from 12–72 hours to under a minute. We have hit 84% automation within two weeks of deployment, cut costs by 40%, and saw a 15% improvement in customer retention. We deliver enterprise clients reductions in cost-per-ticket, significant deflection rates, and measurable CSAT improvement. The problem we solve for them is real, the ROI is proven, and the market is moving fast. We are seed stage but already have serious institutional backing. The GTM function is being built now which means this is a founding seat, not a headcount number. The Opportunity You will be one of the first Two Enterprise AEs at Ace Waves, reporting directly to the VP of Sales. This is not a role where you inherit a territory and work a process someone else built. You will: • Own a named account territory across US, UK and European enterprise, • Build and run your own pipeline supported by BDR and marketing, but not dependent on them, • Sell directly into VP Customer Service, VP/Head of CX, and COO personas who feel this problem acutely, • Help shape the sales playbook, ICP definition, and competitive positioning as you go, • Work directly with the Founders, and VP of Sales on deal strategy What You'll Do • Own your number. Prospect and generate pipeline. Research, network, and outbound into target enterprise accounts. You are not waiting for leads, you are creating them, supported by BDR activity and marketing inbound but not dependent on either., • MEDDPICC/SPICED discipline. Run discovery and qualify rigorously. Lead structured discovery with economic buyers across VP Customer Service, VP/Head of CX, and COO. Understand the operational pain, build the business case, and qualify hard. Not every opportunity is worth chasing you know the difference., • Enterprise motion. Manage complex, multi-stakeholder deal cycles Navigate procurement, legal, IT, and finance alongside the economic buyer. Build multi-threaded relationships across the account. Run the deal, don't just respond to it., • Get it done. Negotiate and close. Lead commercial negotiations. Address objections with evidence, not just confidence. Close deals at £150k–£300k+ ACV with a target quota of £800k–£1M+ as you ramp., • One team. Collaborate cross-functionally. Work closely with the VP of Sales, BDR team, marketing, and technical resources on deal strategy, proposals, and customer onboarding. In a company this size, everyone contributes to revenue., • Founding seat responsibility. Help build the playbook. Document what works. Feed back to marketing on messaging, to product on gaps, and to leadership on competitive dynamics. Your experience in the field directly shapes how Ace Waves sells. What You've Done We're looking for a very specific type of person. Experienced enterprise sellers who've operated in early-stage environments before and thrived. • Enterprise closer. Sold enterprise SaaS into C-level. Not just managed a territory, run complex, multistakeholder deals end to end, navigated procurement, legal, and economic buyers, and closed., • Track record. Consistently closed £150k–£300k+ ACV deals. You know what a real enterprise sales cycle looks like and have the numbers to show for it. President's Club experience strongly preferred., • Hunter mentality. Built pipeline from scratch. You don't wait for inbound. You build your own pipeline supported by BDR and marketing activity, but you know how to create your own opportunities., • Startup DNA. Operated at a founder-stage company. You've been a founding or early AE. You know what it means to sell without a complete playbook and to help build one as you go., • Persona fluency. Sold into VP Customer Service, VP/Head of CX, and COO. You understand the difference in how each of these buyers evaluates, prioritises, and approves. You know how to build a multi-threaded deal across all three., • Domain credibility. Understand AI and CX automation. You can hold a credible, substantive conversation at C-level about AI in customer service, not just talking points, but genuine understanding of the space. What We Offer COMPENSATION Compensation is based on experience. OTE ranges from £180k–£250k in Year 1, with uncapped commission above target. EQUITY Meaningful equity stake. Founding GTM seat, priced accordingly. Seed stage + serious backers = real upside if we execute. ROLE & OWNERSHIP You're not a cog in a machine you're helping build it. ICP, messaging, process. Your fingerprints on how Ace Waves goes to market. MARKET TIMING AI customer service is moving the needle right now. Buys are actively engaged. TECHNOLOGY You're not convincing prospects AI might work, you're showing them how it already does. Role Details Reports to VP of Sales Location GTM team London-based (Hybrid/Remote) Territory: US, UK and European enterprise accounts Quota £600k–£1M+ ramp quota (Year 1), scaling with territory. Uncapped commission above target. Start ASAP. Pipeline momentum is real and we are moving fast

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. At Socure, we are revolutionizing digital trust by building mission-critical systems that deliver high reliability and operate at global scale. As a Manager, Software Engineering, you will be a hands-on technical leader who defines direction, raises engineering standards, and delivers measurable product outcomes, all while remaining deeply involved in design and development. This is not a traditional people-management or delivery-management role—here, you will write code, architect solutions, lead complex projects, and coach engineers to maximize their potential. This role is perfect for leaders seeking high-growth, product-driven environments, who are passionate about distributed systems, and who want to directly influence the design of secure, scalable, and resilient infrastructure while cultivating top engineering talent. What You'll Do: • Architect and design scalable, resilient, high-performance backend systems and platforms in AWS, prioritizing reliability, security, and cost efficiency., • Contribute hands-on to key initiatives—including design reviews, prototyping, coding, performance tuning, and debugging—typically 30% of your time, while mentoring engineers and establishing high standards., • Lead cross-team technical initiatives; drive design forums, establish engineering guardrails, and ensure high-quality delivery via code reviews and automation., • Partner closely with Product, Design, Data Science, and Platform teams to define project scope, sequence milestones, and proactively de-risk execution for iterative releases., • Own design of APIs and microservices, including REST and event-driven patterns, and enforce best practices for versioning, contracts, and backward compatibility., • Advance operational excellence by defining SLOs, improving observability and alerting, hardening on-call procedures and runbooks, and leading incident response and post-mortems., • Solve complex distributed system challenges (such as throughput, latency, consistency, and data modeling) with pragmatic decision-making and balanced tradeoffs., • Document architectural decisions, service ownership, and operational runbooks to share knowledge and maintain long-term scalability., • Foster team growth through clear expectations, actionable feedback, and mentorship; hire, develop, and onboard diverse talent committed to a culture of ownership and collaboration. What You Bring: • 7+ years of professional software engineering experience, including ownership of large-scale backend systems in production., • 3+ years of hands-on technical leadership (as Tech Lead or Manager) with a track record of leading complex, cross-team projects while contributing to code and design., • 5+ years of experience with Golang (preferred) and/or Java, plus strong computer science fundamentals (data structures, concurrency, distributed systems)., • Deep understanding of AWS cloud-native architectures and services (e.g., ECS/EKS, Lambda, OpenSearch, DynamoDB, RDS, S3) and resilience patterns., • Proficiency with microservices, API design, and event-driven systems, as well as experience with containerization and orchestration (Docker, Kubernetes)., • Strong operational mindset: expert in observability, monitoring, incident response, performance engineering, and adherence to security best practices., • Familiarity with CI/CD pipelines, automated testing strategies (unit, integration, e2e), and modern DevOps workflows; comfortable with Git-based trunk/branch strategies., • Excellent communication, stakeholder management, and decision-making skills; able to clearly frame tradeoffs and drive alignment across engineering and product teams. Applicants must have permanent right to work in the UK, as visa sponsorship is not available for this role. This position requires candidates to be based in or within a commutable distance of London, with the ability to attend the office as needed. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Introduction: We’re WorldFirst, an international payments business helping move money around the world. We became part of Ant Group in 2019, accelerating our mission to create the world’s best platform for international trade by combining WorldFirst’s products with Ant’s solutions aimed at enabling the digitalization of the modern services industry globally. We have a shared purpose ‘to make it easy to do business anywhere.’ Together, we are advancing our shared aim of bringing innovative, inclusive and affordable services to small and medium-sized businesses and online merchants in the rapidly growing area of cross-border trade. Role Overview We are building the world’s most developer-friendly Global Card Issuing Platform. We are looking for a Senior Product Manager to own the enterprise-grade infrastructure that allows clients to launch card programs anywhere in the world through a single integration. You will be responsible for a unified Global API and SDK suite that abstracts the complexity of regional payment networks. Whether a client is launching in Europe, North America, or APAC, your product will provide a consistent, white-label experience. You will drive both the technical "how" (API/SDK design) and the strategic "where" (global expansion and regional issuing setups). What you’ll do: • Unified Global API Strategy: Design and maintain a single, polymorphic API architecture that supports card issuance across multiple jurisdictions, ensuring developers don't have to rewrite code for each new market., • Global-First SDKs: Lead the development of White-label SDKs (iOS, Android, Web) that provide high-performance, customizable UI components for card management, activation, and security (3DS/SCA) globally., • Market Expansion & Network Integration: Lead the "boots on the ground" product discovery for new regions. Identify, negotiate, and integrate with local Sponsor Banks, Processors, and Card Schemes (Visa/Mastercard/Local Schemes) to expand our footprint., • BaaS & White-label Orchestration: Manage the multi-tenant architecture that allows enterprise clients to deploy fully branded financial products while ensuring data residency and regional compliance (e.g., GDPR, CCPA)., • Technical Product Specification: Create deep technical documentation for global edge cases, such as cross-border transaction routing, multi-currency ledgering, and localized authorization hooks., • Enterprise Solutioning: Work with global tier-1 enterprises to understand their cross-border needs, translating them into scalable features on the global roadmap. What we’re looking for: • Experience: 5+ years in Technical Product Management with a heavy focus on Fintech, Payments, or BaaS., • Global Infrastructure Mindset: Proven experience building products that operate across multiple regions. You understand how to build a core platform that handles 80% of global needs, with 20% regional modularity., • API & SDK Expertise: * Expert-level knowledge of RESTful API design and developer experience (DX)., • Experience shipping SDKs that simplify complex frontend flows (e.g., card provisioning to Apple/Google Pay)., • Deep Payment Knowledge: Understanding of the global "four-party model," ISO 8583/20022 messaging, and the nuances of regional authorization and settlement., • Strategic Execution: Ability to navigate the complexity of local regulations while maintaining a fast-paced, global product roadmap., • Communication: Exceptional English communication skills, capable of influencing both London-based stakeholders and global engineering teams.

Job Title: Account Director Location: London, United Kingdom. 2 days working remotely possible Start Date: ASAP Sector: Content Production Agency (Job would involve International Clients) Reporting to: Group Account Director Role Overview We are seeking an Account Director to lead and grow key international client relationships within our agency. This role ideally requires knowledge of the media ecosystem and its integration with content production. Support in orchestrating the set up will be required. Candidate will need to have a strong growth mindset as part of the job will involve growing scope of work and possibly participating to Tenders when relevant. The candidate will act as a trusted business partner for clients, operating autonomously (yet reporting to one Group Account Director on all accounts listed above). He or she will be engaging with multiple stakeholders across client organisations. The role combines client leadership, strategic thinking, commercial growth and internal orchestration. Ability to travel at times (especially at initial phase) is important. Key Responsibilities Client Leadership & Relationship Management • Serve as a senior, day-to-day lead for a portfolio of international accounts., • Build strong, long-term relationships with client stakeholders at multiple organisational levels (procurement, digital, brand operations, business leads, etc.) and in Region., • Act as a strategic advisor, ensuring the agency’s output aligns with clients’ business objectives and operational realities., • Develop and oversee integrated strategies combining media, content production and activation., • Demonstrate a strong understanding of the media landscape (digital, social, paid, owned, platforms) and how it connects to content creation and distribution., • Translate client business challenges into actionable, integrated solutions in collaboration with internal media, strategy and production teams., • Drive organic growth across existing accounts through upsell and cross-sell initiatives., • Identify and develop new revenue opportunities aligned with client needs and agency capabilities., • Contribute to proposals, scopes of work and commercial negotiations., • Lead cross-functional teams (production, creative, media, strategy) to deliver high-quality work on time and on budget., • Provide clear direction, prioritisation and decision-making across complex projects., • Mentor and support more junior account team members, setting high standards of excellence., • Act as a role model for collaboration, accountability and client-centric thinking., • Report to Group Account Director overseeing all operations. Required Experience & Skills Essential • 6+ years’ experience in an account leadership role within a communication, media or content production agency., • Strong understanding and insight into content production processes, outputs and best practices, including how this integrates with the media ecosystem, • Proven experience managing large, complex international clients., • Demonstrated ability to drive account growth and deliver commercially successful outcomes., • Excellent communication, presentation and stakeholder management skills., • Fluent English (written and spoken). Other language welcome, more specifically French but not mandatory at all., • Experience working across multiple markets and cultures., • Strong analytical skills and comfort working with performance data., • Experience coaching and developing junior team members as well as coordination cross functions, • Growth-oriented and commercially minded., • Proactive, solution-driven and resilient under pressure., • Comfortable navigating ambiguity and complex organisational environments., • Strong leadership presence with a collaborative mindset., • Willing to travel (short trips) to meet clients when required. Non frequent travels needed but might be required slightly more frequently at early stage to build confidence and relationship with regional clients. As an ethical employer, Tag will never ask job applicants to provide private, sensitive information upfront or make offers of employment contingent on financial requests or responsibilities from any candidate.

Hive Science is a tech start-up whose technologies are in use by many of the world’s largest brands including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this rocket ship with us. About the role: This is an exciting opportunity to be part of a psychological science-based tech startup. This role sits within our product team and will be responsible for building, maintaining, and scaling the infrastructure that powers Hive’s next generation of products. This Senior DevOps Engineer will roll up their sleeves and help us continually evolve the foundation of our platform, enabling faster delivery speed and greater scale, as well as supporting new generative AI and machine learning technologies. We’re looking for someone who can bring strong infrastructure and automation expertise, and who can work closely with engineering and data science teams to support rapid product development & launch. Important Details · Location: Hybrid (3 days/week in office). Candidates must currently reside within commuting distance of London, UK. · Employment Type: Full-time · Work Authorization: Candidates must have existing right to work in the UK. Visa sponsorship is not available for this role. · To Apply: Submit your CV to What You’ll Be Doing: As a Senior DevOps Engineer (Product), you’ll be responsible for the reliability, scalability, and security of our entire infrastructure stack; from CI/CD pipelines to production deployments, from infrastructure orchestration to security governance. You’ll be part of a high-powered team located in London. You will build robust systems, move quickly, but be ready to scale and ensure production-grade reliability as our product grows. You will constantly need to be at the cutting edge as we deploy and scale the latest AI capabilities within our core platform. We can’t define everything you will be doing because some of it is unknown based on the disruptive world we live in and you need to be the kind of person ready to pivot at speed and stay at the bleeding edge of this new world. Key areas of responsibility include: Infrastructure & Cloud Engineering: • Design, provision, and manage scalable cloud infrastructure using Infrastructure-as-Code (Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure., • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines., • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation: • Build and maintain robust CI/CD pipelines (GitHub Actions, CircleCI, Jenkins) to automate testing, builds, and deployments across dev/staging/production environments., • Implement MLOps workflows to streamline model deployment, versioning, and monitoring for our AI/ML products., • Automate infrastructure provisioning (Terraform), configuration management, and deployment processes using scripting (Bash, Python) and automation tools. Monitoring, Observability & Reliability: • Implement comprehensive monitoring, logging, and alerting systems (Prometheus, Grafana, CloudWatch, Datadog, Sentry) to ensure system reliability and rapid incident response., • Establish SLOs/SLIs and implement observability best practices to maintain high availability and performance., • Lead incident response, root cause analysis, and implement preventive measures to improve system resilience. Security & Governance: • Implement and maintain security best practices including network security, firewalls, role-based access control (IAM), encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault)., • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements., • Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. Collaboration & Technical Support: • Work closely with full-stack engineers and data scientists to support application deployments, optimize performance, and troubleshoot infrastructure issues., • Support ETL/ELT workflows and data pipeline infrastructure for training and inference workloads across databases (SQL, NoSQL, Vector DBs, Graph DBs)., • Provide technical guidance and mentorship on DevOps best practices, infrastructure design, and deployment strategies. Required Skills & Experience: • Strong experience provisioning and managing secure cloud infrastructure (AWS preferred, also GCP or Azure), • Expertise with Infrastructure-as-Code tools (Terraform, CloudFormation, Pulumi), • Strong experience with containerization and orchestration (Docker, Kubernetes, ECS, Fargate), • Proven track record building and maintaining CI/CD pipelines (GitHub Actions, CircleCI, Jenkins, GitLab CI), • Experience with MLOps and supporting ML model deployment workflows (AWS Sagemaker, Lambda, containerized deployments), • Proficiency in scripting and automation (Python, Bash, Go), • Strong experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog, Sentry, New Relic), • Experience with database administration and optimization across SQL, NoSQL, vector databases (Pinecone, FAISS), and graph databases (Neo4j), • Knowledge of networking, security best practices, IAM configuration, and secrets management, • Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake), • Strong experience with the set up / design / governance and security of Clean Rooms and clean room integrations, • Previous experience in early-stage product teams or high-growth startups, • Ability to balance rapid prototyping with building scalable, production-grade infrastructure, • Strong problem-solving skills and ability to work independently in a fast-paced environment Overall Work Experience & Additional Details: You may have come from a platform engineering team at a tech company or from a startup where you wore every hat. You are fluent in both infrastructure theory and hands-on implementation, and you get a thrill out of building reliable, scalable systems that enable rapid product innovation and support cutting-edge AI/ML workloads. As a fast-paced startup, each day is different from the one before. We’re nimble and creative, and value intellectual humility. We work really hard because we’re all 100% dedicated to the future we’re building. Our work is stimulating, challenging, and exciting. And our team is awesome. At Hive we only hire exceptional people, so you’ll be in good company; surrounded by passionate, insanely smart people who want to build the future of customer intelligence. Specifically, we’re looking for someone who will thrive in this type of environment: • Fast-paced startup with competing demands and multiple priorities ongoing, • Own critical infrastructure decisions that directly shape the products we build, • A ‘solve the problem’ mentality, • Scrappy and creative, • Strong passion for the Hive Science mission and a love of the scientific method

Generative & Agentic AI Strategy Lead Location: London (Hybrid – London office with selective client travel) Salary: £80,000 – £100,000 + bonus + benefits Clearance: SC Cleared or eligible for SC Clearance Overview We are working with a fast-growing data and AI consulting business helping organisations understand and deploy modern AI capabilities in real operational environments. As part of the next stage of growth, the firm is looking to hire a Generative & Agentic AI Strategy Lead who can help shape how organisations adopt and deploy large language models, generative AI systems, and emerging agentic architectures. This is a client-facing consulting role combining AI strategy, technical credibility, and practical delivery leadership. The successful individual will work directly with senior stakeholders to move conversations from AI curiosity and experimentation into tangible, real-world applications. The role requires someone comfortable operating at multiple levels — from educating executive audiences through to shaping solution architecture and delivery approaches with engineering teams. The Role The Generative & Agentic AI Strategy Lead will sit at the intersection of AI innovation, client advisory, and delivery enablement. You will help organisations understand how modern AI systems actually work, where they create value, and how they can be implemented responsibly and effectively. This includes shaping initiatives involving: • Large Language Models (LLMs), • Retrieval-Augmented Generation (RAG), • Agentic AI systems and multi-agent architectures, • AI-assisted decision systems, • Generative AI applications embedded within enterprise workflows You will work across the full lifecycle of AI initiatives — from early strategic conversations and concept development through to proof-of-concept, MVP delivery, and real operational deployment. Key Responsibilities AI Strategy & Advisory • Advise organisations on the strategic adoption of generative AI and agentic systems, • Help clients understand the opportunities, limitations, and practical implications of modern AI architectures, • Operate as a trusted advisor to senior client stakeholders, • Lead conversations with both technical and non-technical audiences, • Help shape AI-enabled products and solutions using modern architectures including:, • LLM-based applications, • RAG pipelines, • AI orchestration layers, • agent-based systems, • Act as an internal and external advocate for practical AI adoption, • Help educate clients and teams on the next generation of AI capabilities, • Contribute to the organisation’s AI thought leadership and innovation agenda What We’re Looking For This role requires someone who combines technical credibility with consulting polish. The successful candidate will be comfortable: • Speaking in rooms with deep technical specialists, • Presenting to executives who are still early in their AI journey, • Evangelist – helping organisations understand what modern AI makes possible, • Educator – explaining complex AI concepts clearly and pragmatically, • Experience working in consulting, advisory, or client-facing technology roles, • Strong understanding of generative AI ecosystems and large language models, • Exposure to modern AI architectures and system design, • Experience shaping or delivering AI, machine learning, or advanced analytics initiatives, • Ability to move from strategic conversation to practical implementation, • Strong communication and stakeholder engagement skills Technical Awareness Candidates should have familiarity with areas such as: • Large Language Models and generative AI ecosystems, • Model selection, prompting strategies, and orchestration, • Retrieval-Augmented Generation (RAG), • Multi-agent or agentic AI frameworks, • AI safety, governance, and responsible AI, • Cloud AI platforms (Azure, AWS, or GCP) Hands-on coding is not essential, but a strong conceptual understanding of how modern AI systems are designed and deployed is important.

We have partnered with an end-to-end biotech company that is developing transformational medicines, with technology at its core. The company’s ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. It leverages single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, the company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. The company is rapidly scaling its technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio organisations. Based in central London, its state-of-the-art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. It is pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients. The company believes that innovation flourishes through diversity and collaboration. As an equal opportunities employer, it is committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. Individuals from all backgrounds are encouraged to apply. The Opportunity The company is seeking a Research Engineer to join its Machine Learning group to drive the development, deployment, and scaling of ML and computational systems across the organisation. This role sits at the intersection of research and engineering, improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. The Research Engineer will collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, the engineer may work within a specific ML team or operate in a cross-functional capacity. Based at the company’s wet/dry lab and headquarters in central London, the role involves working with large datasets, complex models, and high-performance compute. The engineer will strengthen training and inference pipelines, improve software foundations, and optimise the hybrid on-prem/cloud environment, including dedicated DGX clusters and collaborations with partners like NVIDIA. Responsibilities • Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering, • Build and improve data processing, transformation, and loading systems to support model training and inference at scale, • Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation, • Advance software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows Education & Experience • BSc/MSc/PhD in Computer Science, Machine Learning, Engineering, or related field, • 2+ years of industry experience Core Skills • Solid understanding of algorithms, data structures, and computational complexity, • Proficiency in Python with clean, maintainable coding practices, • Familiarity with PyTorch and common scientific Python libraries Machine Learning Expertise • Solid understanding of ML fundamentals and modern deep learning, • Experience training, evaluating, and iterating on models Infrastructure • Familiarity with AWS or GCP, Docker, Kubernetes, and CI/CD, • Familiarity with orchestration tools (Airflow, Prefect) and model-serving frameworks Nice to Have • Exposure to biology, bioinformatics, or machine learning for scientific domains Personal Attributes • Collaborative team player, able to communicate effectively with stakeholders from diverse backgrounds and technical abilities, • Passionate about science and making a real difference for patients, • Self-motivated, curious, and driven to succeed, • User-minded: considers how datasets and models will be used downstream, • Comfortable working independently and taking initiative Why Join • Work in a highly collaborative, interdisciplinary environment, • Access to state-of-the-art wet and dry lab facilities in central London, • Shape the systems and infrastructure that support cutting-edge ML research, • Contribute directly to advancing drug discovery and improving patient outcomes The company is a committed equal opportunities employer and welcomes applicants from all backgrounds.

🏠 Founding Engineer (AI PropTech) | Up to £140,000 + Equity | London 🏠 We the exclusive talent partner on behalf of a seed start-up who're building AI agents for the real estate market. They're automating tasks that currently make up a $200bn labour market, and giving agencies the tools to fundamentally transform one of the lowest NPS industries. Fresh off the back of a successful seed funding round, they're looking to build out their Founding Engineering team of engineers who've worked with AI agents in the past, and are looking to help build out their product 0-1. You’ll build and scale the Python backend powering their AI agents - handling real-time calls, conversation routing, bookings, maintenance triage, and integrations with property management platforms. The role covers telephony/voice systems, LLM orchestration, RAG pipelines, and event-driven architecture. It also involves core backend engineering: API integrations, data modeling, webhooks, and production infrastructure that makes the AI work reliably. 🛠️ Requirements • Strong backend engineering experience in Python, Fast API, Node, • Experience designing and deploying API-first, event-driven architectures. Intuitive understanding of how to build systems that scale, • Experience building and shipping AI agents and LLM-powered systems in production, • Strong RAG experience; with hands on vector databases (Pinecone, pgvector or similiar) They are based in London with their engineering team operating either hybrid or remote. ⚡ This is a fantastic opportunity sitting right at the precipice of modern technology. With solid backers and a strong seed funding round, there is only one direction for this role - up! ⚡

12 months contract/Onsite/Rate 550 pounds per day Inside IR 35 Description: Join our Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. As a Product Manager III, you’ll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms. What You’ll Do • Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency., • Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools., • Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders., • Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization., • Conduct market and trend analysis to inform product strategy and identify opportunities for innovation., • Build deep understanding of data infrastructure and able to source data dictionaries, database schema for wider use, • Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements Who You Are • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience., • 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications., • Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations., • Excellent communication skills with the ability to influence cross-functional teams and stakeholders., • Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred, • Well-versed in design thinking principles, • Great problem-solving and analytical skills

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Engineer (AI-Focused). This is a strategic hire for a business investing heavily in AI-enabled products and advanced analytics. If you are passionate about architecting modern data platforms that power real AI at scale — this opportunity is for you. This is more than a data engineering role! You will define and scale the organisation’s data platform to power advanced analytics, machine learning, and AI-driven products. Combining deep technical expertise with architectural leadership, you’ll shape long-term data strategy while remaining hands-on in building robust, production-grade systems. You will be accountable for platform reliability, scalability, governance, and AI enablement across the business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy • Define and evolve the data architecture roadmap, • Design scalable ELT/ETL frameworks using DBT and cloud data warehouses, • Establish orchestration standards (Dagster or equivalent), • Drive decisions across batch, streaming, and real-time pipelines, • Architect data foundations supporting the ML lifecycle, • Design feature stores, embedding pipelines, and AI-ready datasets, • Enable MLOps workflows (data versioning, monitoring, retraining triggers), • Support production inference (batch and real-time), • Set best practices for testing, documentation, lineage, and observability, • Lead code reviews and mentor data & analytics engineers, • Drive CI/CD and infrastructure-as-code adoption, • Own platform reliability, performance optimisation, and cost efficiency, • Partner with Data Science, Product, and Engineering leadership, • Translate business strategy into scalable data solutions, • Influence KPI and metric governance across teams, • Act as technical escalation point for complex data challenges 🛠 Technical Environment Core Expertise • Advanced SQL & Python, • Deep DBT experience (modelling, testing, macros, documentation), • Workflow orchestration (Dagster preferred), • Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Data modelling for analytics and AI use cases, • Feature engineering architecture, • ML pipeline and deployment workflows, • Experience supporting production ML systems, • Familiarity with embeddings, vector databases, LLM orchestration (desirable), • CI/CD for data workflows, • Git-based engineering standards, • Docker / containerisation, • Infrastructure-as-code (e.g., Terraform), • Monitoring and alerting systems 👤 What We’re Looking For • 6–10+ years in data engineering or related disciplines, • Proven experience architecting and scaling modern data platforms, • Experience enabling ML/AI production workflows, • Demonstrated technical leadership and mentoring, • Ability to influence senior stakeholders You’ll Thrive If You Have: • Architectural thinking with long-term vision, • Strong decision-making under ambiguity, • The ability to balance innovation with reliability, • Clear communication across technical and non-technical audiences, • A strong ownership mindset and accountability for outcomes 📈 What Success Looks Like • A scalable, reliable data platform powering AI and analytics growth, • Reduced ML time-to-production, • High levels of data quality, observability, and governance maturity, • Improved cost-performance efficiency across the data stack, • A strong, growing data engineering capability within the team This is a high-impact leadership role within a forward-thinking technology environment where AI and data are core to the business strategy. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

Represented by Stax – DeepTech & AI Talent Partner Stax is partnering with a venture-backed AI company building advanced virtual agents designed to automate complex operational workflows for enterprise organisations. Following recent investment and strong early traction, the company is entering an exciting phase of growth and expanding its engineering team to support the next generation of its platform. Revenue increased by 400% in Q4 2025, and the company is targeting a further 4x increase in revenue as it continues to scale. The leadership team includes engineers and researchers from organisations such as Apple, Oxford University, and Cambridge University, bringing together deep technical expertise and world-class research backgrounds. Their platform enables organisations to deploy intelligent agents capable of learning, adapting, and executing real operational processes. At the heart of this vision is a platform that allows these agents to be trained, evaluated, and continuously improved as they interact with real-world workflows. The company is now hiring an AI Engineering Manager (Agentic) to lead the development of this core platform and help define the architecture behind the next generation of intelligent automation systems. This role will report directly to the CTO and lead a team focused on building and scaling the company’s agent platform. The Opportunity This is a senior technical leadership role focused on shaping the systems that enable intelligent agents to learn, evolve, and operate reliably in production environments. You will work closely with engineering and product leadership to define the technical direction of the platform while leading a team of experienced engineers responsible for building and scaling it. This is an opportunity to play a key role in defining the architecture behind a rapidly evolving AI platform and to help shape the future of intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering, typically involving technologies such as: • Large language model–driven systems, • AI-assisted automation and orchestration, • Intelligent workflow systems, • Data pipelines and evaluation frameworks, • Distributed platform architectures What We’re Looking For Core Experience • Strong experience building complex software platforms or distributed systems, • Experience working with AI-driven or automation-focused products, • Ability to define and deliver technical vision for a platform or product area, • Experience leading or mentoring senior engineering teams, • A strong systems-thinking and platform engineering mindset Additional Experience • Experience in high-growth technology environments, • Exposure to enterprise-scale software systems, • Familiarity with automation, workflow platforms, or AI evaluation approaches Why This Role Matters This platform sits at the centre of how the company’s technology evolves. Every system built and every workflow automated contributes to improving the intelligence and capability of the platform. Building the right architecture will enable the product to scale efficiently while continuously improving over time. This role offers the opportunity to shape that foundation and have a meaningful impact on the future direction of the technology. Apply If you're excited about shaping the architecture behind next-generation AI platforms and tackling complex technical challenges, we’d love to hear from you. Apply directly or reach out to Stax for a confidential conversation. Due to the high volume of applications we receive, we may not be able to respond to every applicant individually. However, we will endeavour to contact candidates whose experience most closely aligns with the requirements of the role.

AI Software Engineer • Onsite role in Soho, • £80-120k depending on experience We’re on a mission to reinvent how AI understands people — not through CVs or data points, but through story, reasoning, and curiosity. We’re building systems that listen, interpret, and understand why people say what they say. The goal? Create AI that perceives human potential, not just human input. If you love working on ideas that feel impossible — keep reading. The Role We’re looking for an engineer who blends technical depth with creative instinct. You’ll work directly with founders to shape the intelligence layer behind a new generation of human-aware AI — from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent. If you’ve worked in a disruptive industry and built something brand new — not just improved what already existed — this will feel familiar. What You’ll Be Building • Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding, • Fast, intuitive interfaces that make human-AI interaction feel alive, • Rapid prototypes that turn bold ideas into working products, • Scalable infrastructure for experimentation and learning You’ll Thrive Here If You • Come from a disruptive, fast-moving environment, • Have helped launch or shape new ideas, products, or technologies, • Think in systems and build with elegance, • Believe speed drives creativity, • Are curious about human cognition and behaviour, • Value truth, craft, and collaboration over hierarchy What You Bring • Deep fluency in TypeScript and modern frameworks, • Experience with vector databases and embeddings, • Strength in LLM fine-tuning or multimodal reasoning, • Proven ability to ship full-stack products fast, • Strong Python skills, • Experience using Gemini would be preferred The Culture Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.

AI Engineer Location: London (Onsite - 5 days per week) Type: Permanent Salary: £200,000 + generous equity package Interview Process: 2-4 stages I'm hiring for two YC-backed startups building foundational AI infrastructure - one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production. What we're looking for: • Strong academic background in Computer Science, Mathematics, or related field, • Founding engineer mindset with ownership mentality, • Series A-C scale-up experience (ideally in fast-growth environments) Role 1: AI Engineer • Expert-level Python with exposure to frontend technologies (TypeScript/React preferred), • Hands-on experience with LLMs, prompt engineering, and evaluation frameworks, • Ability to ship AI-powered features end-to-end, • Minimum 3 years of experience Role 2: Applied AI Engineer • Strong backend engineering experience (Python preferred), • Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows, • Experience building RAG pipelines and AI agent orchestration systems, • Minimum 5 years of experience 📩 Interested? Message me here or email

About the Role: Grade Level (for internal use): 13 Revenue Technical Solution Architect (Grade 13) Role Summary The Revenue Technical Solution Architect (RTSA) is a principal-level strategic leader that partners closely with Sales, Account Management, Product Technology and our Enterprise Data Organization to lead technical discussions with clients and contribute to technical end to end solutions that drive velocity, deal size, win rates and retention. The RTSA contributes to solution narratives, helps removed technical friction in the sales cycles and supports adaption and expansion by ensuring solutions are scalable, secure and feasible. Primary Focus • Drive technical deal execution by translating customer objectives into practical technical solution designs aligned to established product capabilities, architectures and delivery standards, • Contribute to shift in feature selling to solution-led consultative architecture, emphasizing workflow integration, automation, measurable outcomes and repeatable delivery patterns, • Enable scale in the revenue organization by shaping playbooks and revenue enablement strategies for technical integration, connectivity and AI solution deployment, • Build relationships with customer technical stakeholders to align on objectives, architecture strategy and adoption barriersRevenue & Deal Enablement, • Support revenue teams by contributing to solution narratives, value propositions, and technical positioning aligned to existing plays and messaging., • Participate in customer meetings as a technical advisor in order to demonstrate S&P capabilities, handle technical objections and establish S&P as a strategic long term partner, • Translate complex customer requirements in order to position deployable solutions and repeatable sales patternsCustomer & Commercial Problem Solving, • Develop an advanced understanding of the customer ecosystem and business processes and map workflows to solution capabilities (data, analytics, automation/AI) to support measurable outcomes., • Resolve technical objections by aligning architecture decisions to customer capability and coordinate with internal teams to provide evidence (benchmarks, patterns, references)., • Identify adoption risks and gaps (data readiness, integration dependencies, security reviews) and support mitigation planning with Revenue teams , Product and TechnologyCross-Functional Collaboration, • Collaborate with Product, Engineering, and Technology partners to share deal learnings and contribute to refinement of offerings through structured feedback (e.g., defect/enhancement input, pattern gaps)., • Participate in cross-functional initiatives (playbooks, templates, reference architectures) by contributing content and examples, • Contribute to strategic technology initiatives by ensuring the customer voice and feedback is incorporated to evolve our solutions, • Develop deep relationships with technology counterparts at our customers and partnersOrganizational Enablement & Influence, • Shape enterprise playbooks, governance, and enablement strategies with key stakeholders., • Design and lead advanced training programs for revenue-wide capability building., • Contribute to prototypes and proofs of concept with customers to ensure appropriate for workflow fit and technical feasibility, maintain feedback loop with Product and TechnologyRequired Experience & Revenue Expertise, • 8+ years in solution architecture, technology, pre-sales, and/or GTM architecture., • Advanced expertise in enterprise architecture, integration strategies, and customer ecosystems., • Technical fluency in cloud platforms (AWS, Azure, GCP) , hyperscalers and modern orchestration approaches., • Working fluency in AI/automation concepts, including agentic frameworks and orchestration tools, with the ability to translate capabilities into deployable client solutions., • Proven capability to partner across Revenue, Technology and Product functions, • Excellent stakeholder management skills across matrixed organizations., • Strong communication and presentation skills, • Bachelor's or Master's degree in Business, Computer Science, Engineering, or related field About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 103 - Middle Management (EEO Job Group) (inactive), 10 - Officials or Managers (EEO-2 Job Categories-United States of America), PDMGDV103.2 - Middle Management Tier II (EEO Job Group)

Automation Engineer London, UK On-site (with flexibility for hybrid working) We’re partnered with an early-stage platform biotech startup emerging from stealth, backed by leading venture capital investors. The company is building AI-driven “self-driving laboratories” designed to transform how drug products are developed. Their platform combines robotics, automation, and machine learning to explore vast formulation spaces, automatically design and run experiments, and continuously learn from the results. By replacing traditional trial-and-error experimentation with high-throughput automated workflows, they aim to reduce formulation development timelines from months to days while unlocking medicines that were previously too complex to develop. Operating at the intersection of biotech, robotics, and AI, the team is building the next generation of laboratory infrastructure to accelerate pharmaceutical innovation. You will be the person who makes the self-driving lab actually run. That means integrating robots, analytical instruments, and software into reliable, end-to-end workflows, and working closely with scientists to translate their methods into automation that holds up at scale. Responsibilities • Pioneer the next generation of robotic platforms for drug formulation., • Design, implement, and scale automated liquid-handling and sample-processing workflows., • Design and automate fully closed loop robotic systems which can be remotely operated, • Integrate instruments and robotics via APIs, SDKs, and communication protocols; own instrument driver development and maintenance., • Build scheduling and orchestration layers for multi-instrument workflows, handling error recovery, retries, resource contention, parallelism, and state management., • Develop robust interfacing layers and simulation environments to accelerate development and reduce deployment risk., • Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements • Advanced degree (PhD) or MSc with equivalent industry experience., • Proven experience automating laboratory workflows with liquid handlers, collaborative robotic arms and common analytics instruments (plate readers, HPLC/UPLC, balances, imagers)., • Strong software skills in Python, with comfort using modern tooling: git, containers, and testing frameworks., • Experience with lab automation schedulers (e.g., PyLabRobot, Opentrons Protocol API, or similar) and instrument SDKs., • Background in building simulation environments to de-risk hardware integrations before deployment., • Systems-minded: you think about reliability, failure modes, and observability from day one, not as an afterthought. Desirable • Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment., • Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry., • Experience in pharmaceutical, biotech, or regulated lab environments. Benefits • Competitive base salary alongside a meaningful equity package, giving you the opportunity to share in the company’s long-term success., • The chance to have real autonomy and impact within an early-stage startup, helping shape both the scientific direction and the development of the platform., • Direct exposure to founders and the C-suite, with the opportunity to influence strategy and decision-making as the company scales., • A beautiful, collaborative lab and working space in the heart of Central London, designed to bring scientists, engineers, and data teams together., • Hybrid flexibility, balancing hands-on lab work with the ability to work remotely where appropriate. Interested? Apply and we will be in touch!

• Central London location – 3-5 days on site p/week, • Up to £80k DoE plus bonuses, • Active MoD DV clearance required, • Experience required in Python, SQL, and ideally Palantir Overview Our client is a secure-sector SME consultancy based in Central London who are looking to bring an experienced Security Cleared Data Engineer into their growing technical team. You will be working on sensitive, mission-critical programmes, designing and delivering robust data solutions in a highly regulated environment. This is an excellent opportunity for a Data Engineer who enjoys working in small, high-impact teams, close customer-facing consultancy, and wants exposure to modern data platforms and tooling. Required Skills & Experience • Proven commercial experience as a Data Engineer, • Strong development skills in Python, • Advanced SQL skills with experience working on complex datasets, • Experience with core data engineering tools and technologies (e.g. ETL/ELT pipelines, data warehouses, orchestration tools), • Strong understanding of data modelling, data quality, and performance optimisation Desirable Experience • Experience with Palantir (Foundry, Gotham), • Willingness and aptitude to learn Palantir technologies on the job, • Background working in defence, government, or other highly regulated environments, • Exposure to cloud platforms and modern data architectures Apply If you’re a DV Cleared Data Engineer with strong Python and SQL experience and an interest in working with Palantir, please apply with your latest CV.

Full Stack Software Engineer - TypeScript / React / Postgres / AWS / Terraform / DevOps We are looking for a number of highly motivated Full Stack Software Engineers to join a fast-growing industrial tech startup focused on reinventing manufacturing. You will play a central role in building and scaling their proprietary platform transforming factory operations in aerospace, energy, and other critical industries. The company is focused on speeding up manufacturing for the scale-up companies shaping the future, from rockets and drones to satellites and nuclear energy. Currently running four small-to-medium software-driven factories across the UK and US, they are on track to expand to 25 factories by the end of 2026. This is a hands-on, high-autonomy role for a generalist developer who thrives on real-world impact and has a strong sense of ownership. Applicants with frontend or UX experience are particularly welcome. Bonus points for experience as a founder, founding engineer, or working in aerospace and defense. What you’ll do: • Architect, design, and develop critical systems for factory automation, real-time data processing, and user experience., • Own full-stack development across infrastructure, backend services, machine learning, UX, and real-time monitoring., • Work directly with leadership to identify bottlenecks and build software solutions that improve factory operations., • Deploy and iterate software rapidly on-site, integrating directly with production processes., • Lead projects from conception to deployment, ensuring fault-tolerant systems in demanding environments., • Optimize machine tool utilization and manage orchestration across multiple production facilities. What they're looking for • 2–5 years of full-stack software development experience, exceptions made for exceptional talent., • Strong programming skills, ideally in TypeScript and React, with experience in Postgres, AWS, Terraform, and DevOps., • Ability to work independently in a high-autonomy environment., • Experience translating operational challenges into impactful software solutions., • Bonus: prior experience in startups, aerospace, defense, or as a founding engineer. What they offer • Full-time, on-site role in London (five days per week)., • Competitive base salary plus equity (typically ~0.5% for engineers with a few years’ experience, potentially >1% for exceptional candidates), • Opportunity to work on software that directly accelerates industrial operations in high-stakes environments., • Visa sponsorship available for eligible candidates. This is an opportunity to shape the software backbone of a company bringing manufacturing into the future, working closely with a small, experienced team with backgrounds in military, government, enterprise, and exited tech ventures. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

Senior Data Scientists Hybrid working pattern Who we are • Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung., • Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. As a Senior Data Scientist in our London office, your role will encompass: • Designing and implementing advanced data science and machine learning solutions to solve complex business problems., • Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees., • Supervising and mentoring team members on code, deployment, and best practices. Necessary education and experience • Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field., • Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders., • Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference., • ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines., • Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces., • Advanced Education: A Master's degree or PhD in a relevant field is a strong plus., • Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray., • Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

About the Role: Grade Level (for internal use): 13 About the Role: The Team: The Software Application Architect - Content Platforms & Platform Services will play a pivotal role in our strategic transformation from product to platform-centric cloud software engineering. These efforts are occurring within the broader context of major strategic initiatives to extend our market leadership and build next-generation software platforms as we pivot to a platform company. Responsibilities and Impact: As Director of Architecture, you will work closely with Content Platforms, Platform Services, Product Management, Business Stakeholders and Technology teams on the core of the SPGlobal technologies. • Lead architectural design and implementation of next-generation cloud-based content platforms, including Content Creation, Newsletter platforms, Real-time news platforms, and Price Reporting systems as part of S&P Global's strategic transformation to a platform-centric company, • Partner with Technology, Product Management, and Business Stakeholders to analyze business strategy and translate requirements into scalable, serverless cloud architectures using AWS services, • Design and build application and technology architecture concepts, creating comprehensive architecture artifacts while establishing project scope, estimates, and deliverable timeframes for business case development, • Drive modernization of existing platforms through architectural improvements, integration solutions, and optimization of object-oriented software engineering methodologies, • Lead cross-functional technical activities involving database, networking, development, and operations teams to ensure seamless integration across authentication, content creation, archiving, publishing, and delivery systems, • Champion enterprise reference architectures and development standards, mentoring teams on best practices while balancing business priorities with technical requirements in a fast-paced, innovative environment What W e're L ooking F or : Basic Required Qualifications: • Bachelor's degree in Computer Science , Software Engineering, or related technical field, or equivalent professional experience in software architecture and development, • 12+ years of overall software development experience with at least 3+ years in high-level architecture design and implementation, • Expert-level proficiency in a Java based or open-source ecosystem, with strong experience in building enterprise-scale applications and microservices architectures, • Proven experience designing and implementing cloud-native architectures using AWS services such as Lambda, EC2, S3, RDS, API Gateway, and CloudFormation, • Strong background in database technologies, including both relational and NoSQL database solutions for enterprise applications, • Experience with containerization and orchestration technologies, along with CI/CD platforms for automated deployment and integration, • Experience with big data processing frameworks and distributed computing technologies for handling large-scale data workloads, • Demonstrated ability to collaborate effectively with cross-functional teams, including product management, business stakeholders, and development teams in an Agile environment, • Strong analytical and problem-solving skills with the ability to architect scalable solutions that meet both current and future business requirements Additional Preferred Qualifications:, • Master's degree in Computer Science , Software Engineering, or related technical field, • Experience with advanced AWS services such as EKS, ECS, Step Functions, or serverless architectures for complex enterprise solutions, • Background in financial services, capital markets, commodity markets , or regulatory technology with an understanding of industry-specific requirements and compliance standards, • Experience leading technical teams or mentoring senior developers in architecture best practices and design patterns What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Machine Learning Engineer, London (5 days a month in office), £90,000 - £120,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: • Participate in the continuous improvement of our client's products, • Develop advanced NLP and AI-based products that will delight users, • Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development., • Expand of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. • Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate., • Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices., • Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing)., • Stay up-to-date with ML & NLP research, and experiment with new models and techniques., • Perform code-reviews for your colleague’s code. Engage with them to raise standards of Software engineering., • Propose cloud architectures for ML-based products that need new infrastructure., • Participate in the monitoring and continuous improvement of existing ML systems. Core requirements Experience matters. But what is more important than raw number of years of experience is demonstrated proficiency (through GitHub profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for • Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠, • Ability to write clear, robust, and testable code, especially in Python 🐍, • Familiarity with SQL and NoSQL/graph databases 🏦, • Extensive experience with ML & DL platforms, frameworks, and libraries 📚, • Extensive experience with end-to-end model design and deployment within cloud environments ☁️, • A ___ approach 🌐, with passion for MLOps best practises 🌀, • An engineer that can think in O(n) as much as plan the orchestration of their product., • Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️, • An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢, • A healthy sense of humour.

Manufacturing/AI Startup | London (on-site) Compensation: Up to £150k + equity package About This is a VC-backed startup rebuilding manufacturing from first principles. The mission is simple: re-industrialise the West. Today’s supply chains are slow, fragile, and opaque. This team is building a system where production is local, fast, and software-driven. They’re not adding software to legacy factories. They’re rebuilding the entire stack – treating manufacturing like a distributed system, not a series of manual processes. The team is ~15, heavily engineering-led. You’ll work directly with the shop floor – code shipped in the morning can control machines the same day. What you'll do • Build a real-time orchestration system that plans and routes production across factories, • Design deterministic systems that operators can understand and trust, • Integrate AI agents to automate decisions like order splitting, routing, and material planning, • Develop core products from scratch – scheduling, inventory, and production systems, • Improve routing and planning through data, feedback loops, and model iteration, • Work directly with operators to turn real-world problems into shipped product What you'll need • 2–10 years of experience building and shipping production systems, • Strong academic background in a STEM discipline, • Generalist across backend, infrastructure, and data systems, • Strong coding fundamentals (TypeScript stack, but not required), • Experience running systems in production (cloud, reliability, debugging), • Comfortable operating in ambiguous, early-stage environments, • Able to move quickly and pick up unfamiliar problems fast, • Strong problem-solving – can turn messy real-world constraints into working systems, • Evidence of working through genuinely hard problems This is closer to building a distributed systems platform for factories than traditional manufacturing software. Shortlisted candidates will be contacted within 48 hours.

Senior Product/Frontend Software Engineering Position Summary • Total comp: £175k-£200k (inc. Equity), • Hybrid working policy: Mandatory minimum three days a week in our Waterloo office, • Experience level: At least five years in commercial software engineering 🚀 About Orchestra Orchestra is an AI-native data pipelining platform building the future of data orchestration and observability. We have built a declarative framework allowing data engineers to explicitly declare how their data pipelines behave. Think CI/CD but for data teams! Backed by VCs from San Francisco, New York and London with angels from across the data space and beyond. 👷 Engineering at Orchestra • We care deeply about our users—their pain points and experience, • We're a small team of generalists who embrace new challenges regularly, • We're united by our mission, focused execution, and speed, • We deploy to production multiple times a day 🛠️ Tech Stack • Backend: Python (FastAPI) + Typescript (express), • Frontend: React + Typescript, • Infrastructure: AWS (serverless!), terraform, • Containerisation: Docker, • Database: PostgreSQL + DynamoDB, • CI/CD: GitHub actions + Blacksmith runners 👩‍💻 What You'll Do • Build exceptional product and scale the core experience, • Implement and maintain features across the frontend, • Own systems end-to-end, • Collaborate closely with customers, • Drive the full development lifecycle, • Contribute to shaping our culture and strategy 🙋‍♂️ About you • 5+ years of experience building and shipping production-grade web apps, with a focus on frontend, • Strong proficiency in React and TypeScript, with solid knowledge of modern frontend architecture, performance, and maintainability., • Deep understanding of UI engineering principles, state management, component design, and scalable frontend systems., • Pragmatic and product-driven — you balance speed, experimentation, and long-term code quality., • Comfortable working with cloud-based platforms and collaborating closely with backend services and APIs., • Bonus: Familiarity with Python or an interest in contributing beyond the frontend when needed. Benefits‍ • Competitive salary + equity, • Bi-annual offsite, • Regular team dinners + socials, • Choice of laptop, • Access to latest and greatest AI tooling

Senior Cloud / DevOps Engineer Full-Time | Senior Level | Onsite central London location | A global clean energy technology company is looking for a Senior Hybrid Cloud / DevOps Engineer to support the development and operation of large-scale energy infrastructure platforms. The organization is delivering next-generation energy storage technology designed to support reliable, low-carbon electricity grids. With major investment and international expansion underway, this is an opportunity to join a high-impact engineering team building mission-critical systems at scale. What You’ll Do • Design, build, and maintain hybrid infrastructure across cloud and on-prem environments, • Manage and optimise cloud-based systems and Kubernetes clusters, • Implement Infrastructure as Code (IaC) and automation, • Monitor and improve performance, reliability, and scalability of platform infrastructure, • Support data ingestion and operational systems used in large-scale industrial environments, • Collaborate with distributed engineering teams across multiple regions What We’re Looking For • Strong experience in DevOps or Cloud Engineering roles, • Expertise with AWS, including AWS certifications., • Hands-on experience with Kubernetes and container orchestration, • Experience working with hybrid environments (cloud + on-prem infrastructure), • Strong skills in automation, CI/CD pipelines, and Infrastructure as Code (CDK, terraform), • Programming experience in either python or typescript., • Agentic AI coding experience. (Claude, codex, cursor etc), • Comfortable working in a remote, collaborative engineering team Working Style • Fully remote role, • Collaboration with international engineering teams, • Flexible, modern remote engineering practices Why Join? • Work on cutting-edge technology supporting the future of energy infrastructure, • Be part of a high-growth, well-funded technology organization, • Collaborate with experienced engineers and global teams, • Contribute to systems that have real-world environmental and societal impact 📩 Interested? Apply or message me directly for more information. #DevOps #CloudEngineering #AWS #Kubernetes #RemoteJobs #ClimateTech #EnergyTech

Job Description Software Engineer — AI-Powered Credit Risk Platform Company: Inia AI · London, UK Type: Full-time · Hybrid / Co-working Location: Fora Kings Cross, London Experience: 5+ years About Inia AI We build AI-powered credit risk analysis platforms for institutional clients. Rather than relying on generic, off-the-shelf tools, we engineer bespoke systems that encode each client's specific credit methodology into tailored workflows. Our platform produces credit narratives that satisfy rigorous model risk governance, all deployed directly into client-hosted cloud environments. We currently serve a global investment bank alongside other leading institutional clients. We are a small, highly focused team. Joining means working directly with senior leadership and having an outsized impact on both the product and the company's trajectory. What You’ll Do You will report to the Chief Technology Officer and work across our client deployments and core platform to ensure reliability, resolve issues, and deliver improvements driven by real-world usage and feedback. The role is similar to a forward deployed engineer. You'll work directly within live production environments, not just write code from the sidelines. Production Operations: Work hands-on across multiple cloud-hosted environments: diagnosing issues, implementing fixes, and ensuring platform stability across all deployments. Platform Maintenance & Enhancement: Maintain and extend the core application, a .NET backend API with Vue.js and Blazor frontends, fixing bugs, implementing client-requested features, and ensuring the platform remains stable and performant. Infrastructure & DevOps: Manage and improve deployment pipelines, container orchestration, and cloud infrastructure (Azure, AWS, GCP). Support both cloud-native and on-premise delivery models using Docker and GitHub Actions. Regression Testing & Quality: Build and maintain regression test suites to catch issues before they reach clients. Strengthen testing practices across the platform to support reliable, frequent releases. Cross-Stack Work: Primarily backend-focused, but comfortable stepping into Vue.js or Blazor frontends when needed to ship fixes or smaller features end-to-end. Tech Stack • Backend: C# / .NET 6–10, Entity Framework Core, REST APIs, JSON, • Frontend: Vue.js 3+, Blazor (admin), • AI Tooling: Claude Code, GitHub Copilot, Codex, • Infrastructure: Docker, GitHub Actions (CI/CD), Azure / AWS / GCP, • Testing: xUnit, • Development: VS Code, Visual Studio 2022+, Git / GitHub What We’re Looking For • 5+ years of professional software development experience, with a track record of maintaining and improving production systems, • Strong C# / .NET proficiency and comfort working primarily on backend, with the ability to work across the full stack when needed, • Infrastructure & DevOps experience: hands-on with Docker, CI/CD pipelines (GitHub Actions or similar), and managing deployments across at least one major cloud provider (Azure, AWS, or GCP), • Comfortable working directly in live production environments, diagnosing issues, applying fixes, and maintaining system health across multiple deployments, • Proficient with AI-assisted development tools (e.g., Claude Code, GitHub Copilot) as part of your daily workflow, • Testing discipline: experience building and maintaining regression test suites, with a quality-first mindset, • Excellent English communication: you'll collaborate closely with a distributed team and occasionally interact with institutional clients, • Self-directed and reliable: able to manage your own workload across multiple client environments without heavy oversight Nice to Have • Experience with container orchestration beyond basic Docker (e.g., Kubernetes, ECS), • Experience working across multiple production environments or multi-tenant deployments, • Familiarity with working in regulated or compliance-sensitive environments (financial services, banking), • Background working in early-stage or small-team environments where initiative is essential What We Offer: • Dynamic work environment in a high-growth company focused on innovative technology, • Competitive compensation package including base salary and performance-based bonuses, • Inclusive, collaborative culture with a flat organizational structure that encourages open communication and hands-on professional development How to Apply Send your CV along with a brief note on your experience with our core technologies (C#/.NET, Vue.js, AI tooling) and what draws you to working at this stage of a company's growth.

Senior LLM, RAG & Agentic AI Consulting Engineer - Lead / Senior FDE Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: • LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops, • Multi-agent architectures, including planning, delegation, safety constraints and monitoring, • Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows, • Ontology and knowledge modelling literacy to enable precise reasoning and data alignment, • Integrations and automation via APIs, tools and enterprise systems, • Prompt engineering at scale, including pattern libraries, guardrails and explainability checks You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous client problems into clear, feasible engineering approaches, • Assess client data, platforms, security constraints and operating models, • Contribute to framing, use-case shaping and technical scoping discussions, • Work directly with client domain experts to surface edge cases and operational realities, • Produce clear, lightweight technical artefacts for client and internal audiences Delivery Excellence, AI Ops & Reliability You will ensure client solutions are safe, observable and enterprise-ready by: • Implementing evaluation frameworks and safety checks across models and agents, • Designing monitoring, logging, tracing and incident-response patterns, • Applying governance, risk and compliance principles within client environments, • Supporting releases, environments and handover into client operations, • Ensuring reliability, reproducibility, performance and cost controls Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: • Solid experience in software engineering, AI engineering, or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade systems, • Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies, or knowledge graph concepts, • Proven ability to rapidly prototype solutions for client validation, • Experience working directly with clients in consulting or professional services contexts Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Business Consulting sectors across the UK & EMEA.

Role: Lead Backend Software Engineer Location: London/Newcastle – Hybrid Office & Home Who Are We? mkodo builds world class apps, middleware and digital products in the global lottery, betting, and gaming space. We have an open, supportive, dynamic culture where talented people are trusted to contribute to the team and company by carrying out their roles in a professional, collaborative, and skilled manner. We value the expertise of our team members and offer opportunities for personal development and career progression within the company. Acquired in February 2020, by Pollard Banknote Limited (PBL), a major supplier to the global lottery industries, brought mkodo strong financial security, access to resources and clients at a global level. About the role: Reporting to a Software Engineering Manager or Head of Engineering, we are seeking a Lead Backend Software Engineer to be the go-to authority for backend engineering, setting the technical vision, guiding architecture, and driving improvements in tools, processes, and delivery practices. You’ll remain hands-on for critical work, but your greatest impact will come from technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy with business goals and ensuring our backend capabilities are future-ready. Main responsibilities are: Technical Leadership • Define and evolve backend architecture to ensure scalability, maintainability, and performance., • Set coding standards and champion secure development practices (e.g. OWASP)., • Influence technology choices, frameworks, and tools to support engineering excellence., • Oversee improvements to CI/CD pipelines, build processes, and operational workflows., • Can clearly and confidently articulate risk of technical problems to non technical stakeholders (e.g legal, product owner, designer), • Leads projects and features to good outcomes, ensuring appropriate engineering decisions are made to factor in technical debt, systems design, stability/reliability, monitoring/observability and business need. Hands-On Guidance • Contribute to key backend systems when your expertise is needed., • Review and refine critical code, ensuring alignment with architectural goals and best practices., • Provide technical oversight for major initiatives, ensuring architectural soundness. Mentoring & Collaboration • Coach, mentor, and develop engineers, raising capability across the backend discipline., • Facilitate design discussions, code reviews, and collaborative problem-solving sessions., • Build consensus for architectural and technical decisions across teams and stakeholders. Continuous Improvement • Identify and proactively resolve technical debt., • Introduce new backend technologies and approaches that improve reliability and delivery speed., • Promote engineering practices that support scalable, secure, and maintainable systems. Community & Advocacy • Proactively stays up to date with technology trends in their area, and uses this knowledge to contribute thoughts on engineering strategy., • Share knowledge through presentations, workshops, and internal forums., • Support recruitment by assessing candidates and promoting a strong engineering culture., • Ensure backend systems comply with relevant standards such as ISO27001 and PCI. Key Skills & Attributes: • Strong backend engineering experience, ideally including Java (Java 11+) and Spring Boot., • Proven ability to design and lead backend architectures for complex systems., • Familiarity with cloud environments (AWS preferred) and container orchestration (Kubernetes)., • Experience with event-driven architectures and messaging platforms such as Kafka., • Strong understanding of RESTful APIs, microservices, and distributed system design., • Knowledge of SQL and NoSQL databases., • Experience with CI/CD pipelines, automated testing, and modern deployment practices., • Skilled mentor with the ability to influence technical direction across teams., • Strong problem-solving skills, balancing technical, product, and delivery considerations., • Comfortable in agile environments using Git-based SCM and tools like Jira or Redmine., • Awareness of compliance frameworks such as ISO27001 and PCI. We encourage growth and progression because we value our colleagues and know that we best succeed when achieving and developing together. Benefits: mkodo is a great place to work, with excellent benefits comprising: • Hybrid/Flexible Working, • Quarterly team events, • Birthday Holiday, • Christmas Day-Off, • Generous Holiday Allowance, • Tech Loan Scheme, • Performance bonus & profit share scheme, • Cycle to Work scheme, • Life insurance and income protection, • Travel Loan scheme, • Supplies of fresh fruits, cereals, biscuits, nibbles, etc. in the offices, • Relevant training and training budget., • Digital Nomad Policy, • Generous refer a friend scheme

Backend Engineer (Mid or Senior) 🚀 Series-A FinTech 📍 Hybrid: City of London (3 days per week onsite) 💰 £80,000 – £110,000 + Equity + Benefits Did you know financial fraud costs the UK economy £200bn+ per year, accounting for over 40% of crime in England and Wales? This early-stage FinTech is on a mission to fight financial crime and reduce scams in online payments High-ownership, mission-driven, working with sensitive financial data. This is critical infrastructure. When it fails, real people lose money. What You’ll Do • Build the APIs and UIs banks plug into their payment flows, • Connect the investigation engine to messy, real-world data (APIs, documents, scraped sources — most of it unstructured), • Design the orchestration layer that gathers and evaluates evidence across heterogeneous systems, • Ship reliable, secure, observable production code, • Deploy and iterate on LLM-powered investigation flows (not just prototypes), • Make smart build vs buy decisions and own the trade-offs This isn’t a feature factory. You’ll design, build, ship, own. Tech: Kotlin (open to any JVM background), Python, Terraform, Agentic AI, cloud-native, event-driven services If you’ve built fault-tolerant, distributed systems before, tools matter less than judgement You’ll Have • 5+ years building production distributed systems in a startup environment, using backend languages like Java, Kotlin, Scala, Python, C++, Rust or Go, • Experience designing external-facing APIs and working with messy, unstructured data, • Shipped AI/ LLM systems beyond proof-of-concept, • Startup experience: comfortable in ambiguity, taken high ownership, • FinTech product experience, • Strong instincts on trade-offs, speed vs correctness, • Computer Science degree or equivalent Why Join? • Work with a highly talented team of 8 other Engineers, • Real equity, • High-stakes technical challenges, • AI X distributed systems X regulated finance If you want to build fast, reliable AI infrastructure that banks depend on, apply with your CV.

Full Stack Software Engineer - TypeScript / React / Postgres / AWS / Terraform / DevOps We are looking for a number of highly motivated Full Stack Software Engineers to join a fast-growing industrial tech startup focused on reinventing manufacturing. You will play a central role in building and scaling their proprietary platform transforming factory operations in aerospace, energy, and other critical industries. The company is focused on speeding up manufacturing for the scale-up companies shaping the future, from rockets and drones to satellites and nuclear energy. Currently running four small-to-medium software-driven factories across the UK and US, they are on track to expand to 25 factories by the end of 2026. This is a hands-on, high-autonomy role for a generalist developer who thrives on real-world impact and has a strong sense of ownership. Applicants with frontend or UX experience are particularly welcome. Bonus points for experience as a founder, founding engineer, or working in aerospace and defense. What you’ll do: • Architect, design, and develop critical systems for factory automation, real-time data processing, and user experience., • Own full-stack development across infrastructure, backend services, machine learning, UX, and real-time monitoring., • Work directly with leadership to identify bottlenecks and build software solutions that improve factory operations., • Deploy and iterate software rapidly on-site, integrating directly with production processes., • Lead projects from conception to deployment, ensuring fault-tolerant systems in demanding environments., • Optimize machine tool utilization and manage orchestration across multiple production facilities. What they're looking for • 2–5 years of full-stack software development experience, exceptions made for exceptional talent., • Strong programming skills, ideally in TypeScript and React, with experience in Postgres, AWS, Terraform, and DevOps., • Ability to work independently in a high-autonomy environment., • Experience translating operational challenges into impactful software solutions., • Bonus: prior experience in startups, aerospace, defense, or as a founding engineer. What they offer • Full-time, on-site role in London (five days per week)., • Competitive base salary plus equity (typically ~0.5% for engineers with a few years’ experience, potentially >1% for exceptional candidates), • Opportunity to work on software that directly accelerates industrial operations in high-stakes environments., • Visa sponsorship available for eligible candidates. This is an opportunity to shape the software backbone of a company bringing manufacturing into the future, working closely with a small, experienced team with backgrounds in military, government, enterprise, and exited tech ventures. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ()

Are you passionate about building real, production‑grade AI systems—not just prototypes or research models? We’re partnering with a fast‑growing, well‑funded AI‑native consultancy that delivers enterprise‑scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‑world problems with speed, clarity, and measurable impact. As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‑grade LLM‑powered systems. This role sits at the intersection of software engineering, AI implementation, and agentic orchestration. You will work on: • Multi‑agent architectures, • Intelligent tool and API integrations, • RAG pipelines and vector‑based retrieval, • Evaluation frameworks and AI observability Key Responsibilities • Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks, • Design evaluation and observability frameworks to measure performance, accuracy, and reliability, • Develop clean, scalable applications with proper error handling, APIs, and data pipelines, • Implement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE), • Integrate feedback loops to improve system behaviour over time, • Craft effective prompts and optimise latency, cost, and output quality across multiple model providers, • Hands‑on experience building applications using LLM APIs, • Deep understanding of model capabilities, limitations, and failure modes, • Practical experience with RAG, vector databases, knowledge graphs, and prompt engineering, • Experience building multi‑step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks), • Strong proficiency in Python (or similar language) and developing production APIs/services, • Cloud experience with AWS, GCP or Azure, • Solid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines, • Experience designing or operating cloud‑native, production‑grade infrastructure, • Strong data manipulation skills (Pandas, SQL), • Experience with AI‑assisted coding (Claude Code, GitHub Copilot, etc.), • Experience fine‑tuning LLMs or deciding when to use fine‑tuning vs RAG/prompting, • Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.), • Familiarity with observability tools (LangSmith, Weights & Biases), • Experience in regulated or industry‑specific environments (finance, energy, healthcare, legal, retail), • A fast‑growing organisation with significant opportunities for career progression, • Highly competitive salary + bonus, • A collaborative, engineering‑driven culture where you’ll make an impact from day one, • Financially strong, well‑backed business with global expansion plans, • Choose your own gear (MacBooks, PCs, accessories), • Dedicated learning & development budget