
Thought Machine · Singapore
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations o...
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we
have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are
attempting is hard and means we need great people working together to build great technology.
We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York,
Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors
include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard
Chartered Ventures, and more.
We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way.
We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the
highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the
world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's
fastest-growing companies for two consecutive years—and a UK Best Employer for 2026.
Thought Machine’s Site Reliability Engineers are the guardians of mission-critical systems for the world's most influential
financial institutions. As a member of our elite, globally distributed team, you'll be entrusted with running and maintaining the
robust production infrastructure that powers our customers' cutting-edge Core Banking and Payments platforms. This is an
opportunity to make a tangible impact on the global financial landscape while collaborating with brilliant minds to solve complex
engineering challenges.
The team is deeply involved in tackling the technical challenges of executing Thought Machine’s growth ambitions - expect to be
working with senior stakeholders in the organisation, our customers, and working on programmes and initiatives that are critical
to the success of the company.
discussions, engaging in RFCs and code reviews.
planning activities.
user experience.
operations.
technical understanding of Vault Products.
challenges.
production level software.
(such as Prometheus, Jaeger) or automation infrastructure.
We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds,
providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't
accurately match the job description. We also encourage applications from those with different abilities, including candidates
with ADHD, autism, dyslexia or dyspraxia.
The Enablement Delivery Specialist is a pivotal execution-focused role within the GTM Enablement organization, responsible for the end-to-end orchestration of world-class training experiences. Reporting to the Manager of Delivery, this role ensures that every training event, from foundational bootcamps to advanced skill-building workshops, is delivered with the logistical precision and professional excellence required to drive field performance. You will act as the "Producer" and "Emcee" for our regular and ad-hoc in-person and virtual events, serving as the connective tissue between strategic program design and field-facing execution. Based in our Dublin International Headquarters, you will thrive in a high-growth environment that values intellectual honesty, radical accountability, and a "team first" mindset. Success in this role means moving beyond simple event planning and facilitation to become a trusted partner who enhances the learner experience and provides critical insights for continuous enablement improvement. We are looking to speak to candidates who are based in Singapore for our hybrid working model. RESPONSIBILITIES Training Event Orchestration and Logistics * End-to-End Management: Own the full logistical lifecycle for in-person training events, including venue selection, meeting room configuration, catering, and on-site technology * Operational Precision: Ensure flawless accuracy in scheduling, invitations, reminders, and learner communications across all assigned sessions * Execution Reliability: Execute assigned tasks within scope and on time using project management tools, maintaining high delivery reliability * Stakeholder Coordination: Partner with Workplace and TRO teams to orchestrate seamless delivery, owning handoffs and vendor coordination with "radical follow-through * Data Integrity: Maintain accurate program data (attendance, survey results) with zero critical errors, ensuring visibility for stakeholders Event Production and Emceeing * Producer Role: Serve as the event "Producer" and "Emcee," ensuring smooth delivery and strong participant engagement throughout every session * Platform Mastery: Operate core delivery platforms (Zoom, LMS, virtual classroom tools) with full proficiency, eliminating technical disruptions * Content Delivery: Follow facilitation guides and scripts to deliver established content with consistent professional quality and tone * Live Engagement: Manage live interactions, including polls, Q&A, and breakouts, while reading the audience and adjusting pacing based on real-time signals * Facilitator Support: Act as the primary point of contact for facilitators and SMEs, ensuring they are set up for success and the environment is optimized for learning Feedback and Continuous Improvement * Insight Gathering: Gather structured feedback from attendees after every session to measure program effectiveness and learner confidence * Actionable Synthesis: Synthesize learner sentiment into actionable insights, providing content designers with specific observations on confusion or engagement drops * Quality Cycle: Identify content improvement opportunities based on learner reactions and escalate them with specific proposed fixes * Knowledge Management: Document delivery processes and issue resolutions in the team knowledge base to ensure work is person-independent THE IDEAL CANDIDATE * Experience: Minimum 2 years of experience in event management, ideally within a corporate or high-growth technology environment * Training Background: Ideally 1 year of experience in training management or enablement delivery. Foundational knowledge of adult learning principles is a plus * Stakeholder Management: Proven ability to communicate with precision and build trusted partnerships. You are known for professional poise and the ability to manage conflicting priorities * Technical Proficiency: Full proficiency in operating delivery platforms (Zoom, LMS) and project management tools. Experience with Mac and Google Suite is preferred * Organizational Rigor: Immaculate attention to detail with the ability to manage multiple concurrent workstreams without sacrificing quality * Communication: Strong presentation and facilitation skills with the confidence to emcee for large groups of enterprise sales and services professionals ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 2273461411
We are seeking for a senior, hands-on role responsible for the complete technology environment of a CEO, executive team, and their families across 5+ private residences and 6+ offices in EMEA and Singapore. The role requires full ownership of IT infrastructure, devices, connectivity, and physical security technology ensuring guaranteed continuity under any operational conditions. DUTIES AND RESPONSIBILITIES: * Maintain seamless, continuously validated technology environments across all locations: laptops, tablets, mobile devices, monitors, AV equipment, and Zoom Rooms. Deliver expert support for Microsoft 365, Teams, Zoom, Windows, macOS, and mobile devices. * Design, deploy, and manage multi-site network infrastructure including LAN/WAN, managed switches, Wi-Fi, firewalls, and network segmentation. * Configure and support satellite connectivity (Starlink) for maritime and remote locations. * Manage physical security technology: CCTV, IP cameras, NVR systems, and access control across all managed properties. * Provide on-demand support to executive family members on personal devices and home office setups. * Handle physical setup and installation of technology equipment at residences and ensure fully operational, secure technology setups during business travel — including hotels, vehicles, and yachts. * Manage all IT assets across locations: device inventories, software licenses, and subscriptions, with proactive refresh cycles. * Implement and maintain cybersecurity controls appropriate to high-value individuals: endpoint protection, MDM, firewall configuration, anti-malware, and secure VPN. * Conduct proactive testing of all equipment and conferencing systems ahead of meetings and events. * Maintain current documentation of system configurations, operational procedures, and issue resolutions across all locations. * Be available on-call for urgent support outside business hours under a structured on-call arrangement. QUALIFICATIONS AND EXPERIENCE: * Proven experience providing direct IT support to C-suite or VIP principals with personal accountability for their technology environment. * Hands-on network engineering competency: routing, switching, Wi-Fi, firewall management, VPN, and multi-site WAN. * Proficiency in Windows, macOS, iOS, Microsoft 365, and Zoom. Ability to quickly learn new technologies and software stacks. * Practical experience with Starlink or equivalent satellite connectivity platforms. * Familiarity with physical security systems: IP CCTV, NVR/DVR, and access control. * Solid understanding of endpoint security, backup, and recovery in high-value individual contexts. * Ability to own technical problems end-to-end without reliance on external vendors for routine issues. * Fluency in English required; German, Russian, or Turkish is an advantage. * Demonstrated discretion and professionalism in confidential personal and executive environments. TRAVEL AND OTHER REQUIREMENTS: * Frequent international travel required, including on short notice; valid passport mandatory. * Primary travel destinations: Singapore, Germany, Italy, Switzerland, Turkey, Serbia, Bulgaria. * Must pass comprehensive background screening as a condition of employment — including criminal record check and professional references — conducted in accordance with applicable law. * Five-year contract with renewal options.
ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. WHO WE'RE LOOKING FOR As a Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. We're building our Singapore presence from the ground up. This is a rare opportunity to join at the founding stage of a regional team, with the autonomy to help define what this team becomes. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. THIS ROLE As a machine learning engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You'll: * Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments. * Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence. * Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars. * Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. * Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure. * Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. * Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX. As an early member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader. OUR DELIVERY TEAMS DRIVE INNOVATION TO TURN AI MODELS INTO PRACTICAL SOLUTIONS - READ OUR BLOG TO LEARN MORE ABOUT HOW YOU’LL CONTRIBUTE TO THIS EXCITING JOURNEY! We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.