Startup jobs in United Kingdom

Residential Conveyancer – Pioneering AI‑Driven Law Firm Location: London (Hybrid, 2–3 days office) Are you an experienced Residential Conveyancer who wants to be part of the profession’s next big leap forward? This is a rare opportunity to join a brand‑new, next‑generation law firm built from the ground up around cutting‑edge AI technology—designed to transform the home‑buying experience and elevate the role of the modern conveyancer. This is combined with a great culture & benefits including hybrid working as standard. If you’ve ever thought “there must be a better way to do this” — this is that role. \n Why This Role Is Different Conveyancing is changing. AI is evolving at unprecedented speed and this firm is uniquely positioned to harness it. Backed by a proven legal‑tech organisation with market‑leading AI tools already used across hundreds of thousands of transactions, this is not a theoretical innovation project—it’s the next stage of conveyancing. As an early hire, you’ll help shape an entirely new model of practice where: \n • AI handles routine checks, admin and progress updates, • Smart workflows eliminate bottlenecks before they appear, • Risk monitoring is automated, not manual Conveyancing Excellence Manage a small, high‑quality caseload across freehold, leasehold, new‑build and shared‑ownership matters. Caseloads expand gradually as AI systems scale—ensuring quality is never compromised. Shape the Future of Legal AI Work directly with legal engineers, product teams and AI specialists to refine, test and continuously improve the firm’s workflow automation and risk‑prevention tools. Hybrid Collaboration Spend 2–3 days each week in a central London office, working closely with both fellow conveyancers and technology teams in a dynamic, startup‑like culture. High Trust, High Impact You’ll have autonomy, support where needed and the backing to make proactive decisions. Your ideas will influence how the next generation of conveyancing operates. \n What We’re Looking For Essential \n • Strong experience running end‑to‑end residential conveyancing matters, • Excellent technical knowledge and a proactive, client‑centred approach, • Comfortable handling complex leasehold, new build and shared ownership transactions, • Curious, open‑minded and excited about transforming legal work through AI, • Qualified Solicitor, Licensed Conveyancer or CILEX (c. 3+ PQE, though capability matters most), • Previous use of AI tools in legal practice If you’re an exceptional conveyancer who wants to be part of a forward‑thinking, AI‑powered legal team—where your expertise is valued, amplified and future‑proofed—we want to hear from you. Apply now to discuss this unique opportunity in more detail. #INDCATS

Company name: GetScanned Job location: United Kingdom (Remote) 🔍 About the Role We’re looking for an experienced, GMC-registered Consultant Radiologist to join GetScanned— a fast-growing, tech-driven medical screening provider focused on responsive turnaround of full-body imaging. Your role will include: Reporting full-body MRI/CT scans quickly and accurately. Collaborating with a lean, innovative clinical team. Enjoying flexible, remote working arrangements. Helping shape clinical pathways as we scale — with potential to step into the clinical lead team. 💼 What We Offer Competitive per-report rates and performance incentives. Freedom to set your own hours and report from anywhere. Opportunity to help lead a modern, preventive health service at the forefront of medical imaging. Clear progression into the clinical leadership team as the service expands. 👤 Who You Are GMC-registered Radiologist. Comfortable reporting whole-body MRI/CT or keen to build in this area. Tech-friendly, detail-focused, and committed to efficient reporting. Enthusiastic about working in a nimble, patient-focused startup. 🚀 Why GetScanned? We’re regularly featured for our innovation in whole-body preventive screening. This is your chance to shape a growing service and be part of something impactful — with the flexibility and recognition you deserve. 📩 Interested? Message us directly or apply now.

🚨 New Role: Senior Product Engineer – SaaS Startup 🚨 We’re excited to partner with a profitable SaaS startup experiencing rapid growth and strong ARR in a short timeframe. Due to increasing customer demand, they’re expanding their engineering team and looking for product-minded engineers to join them on their journey. 💼 Role Details • Title: Senior Product Engineer, • Location: Hybrid – 3 days/week in Central London office, • Salary: Up to £150k + Equity, • Tech Stack: Go, TypeScript, React (open to other strong technical backgrounds) ✅ What They’re Looking For • Engineers who think like product owners, • Prior startup success or fast-paced environment experience, • A background in top-tier education or equivalent proven ability 🌟 Why This Role? • Join a high-growth, product-led team, • Build features that directly impact customer success, • Work with a smart, driven team and cutting-edge tech 📩 Interested? Send your CV to get the conversation started!

Audio Systems Engineer The Oho Group are looking for an Audio Systems Engineer to join a technology startup in London. This rare opportunity offers the chance to drive prototype and product development in within a small but accomplished and dedicated team. In this role, you will: • Have ownership throughout the full product lifecycle from concept to distribution., • Collaborate at the cutting edge of embedded systems, signal processing and applied machine learning., • Apply your creativity to design prototypes and new technologies., • Solve problems in a collaborative and fast-paced environment. What they’re looking for: • Proven experience shipping embedded audio systems into production., • Strong C++ and Python coding skills in a range of applications., • Familiar with machine learning frameworks and deploying them into production., • Communicative and confident collaborating with hardware, embedded and machine learning engineers., • Hands-on experience with audio/DSP. Start your journey today!

Senior Software Engineer 📍Location: Onsite, London, United Kingdom ⌛Type: Full-time 💰 Compensation: Negotiable (Competitive salary + equity) About Ontik Ontik is an ambitious, early-stage B2B financial operations platform designed to streamline and simplify complex financial workflows for heavy duty industries. We’re scaling rapidly and looking for top-tier engineers to join our team. You’ll have the chance to work in a high-performance, ownership-driven environment, where you can make a direct impact on the product and help shape its future. Role overview As a Software Engineer (Full-Stack) at Ontik, you’ll play a pivotal role in building and scaling our financial operations platform. This is a hands-on, high-impact position where you will be directly responsible for delivering clean, scalable, and high-performance code. You will work closely with product managers, designers, and other engineers to solve complex problems and create intuitive solutions that help simplify financial workflows for our users. You’ll have the opportunity to own critical features and contribute to the overall architecture of our platform. We’re looking for an engineer who thrives in a fast-paced environment, embraces ownership, and is passionate about building software that makes a real difference. If you enjoy working with cutting-edge technologies, solving challenging problems, and iterating quickly in a collaborative environment, we’d love to hear from you. Essential experience • 5+ years of experience in software engineering, ideally with some experience in a startup environment., • A proactive, ownership-oriented attitude with the ability to take initiative and drive projects forward, • Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React), • Experience working with databases (SQL and NoSQL), APIs, and web technologies., • Experience with cloud platforms (AWS, GCP, Azure), • Solid understanding of software engineering principles, including clean code, testing, and version control (git)., • Strong problem-solving skills and the ability to break down complex technical issues and deliver simple, effective solutions., • A collaborative mindset, with the ability to work closely with cross-functional teams to deliver high-quality products, • Excellent communication skills to articulate technical concepts to both technical and non-technical team members, • A passion for building robust, efficient software and a desire to continuously improve your skills and knowledge, • Familiarity with financial technologies, payment systems, or SaaS products, • Experience with continuous integration/continuous deployment (CI/CD) pipelines Desirable • Experience delivering challenging integrations with 3rd party systems, • Understanding of event-driven system design Why Ontik? At Ontik, we embrace a high-performance, ownership-driven culture where every team member plays a critical role in our success. We move quickly, take responsibility for our work, and continually strive for excellence. As a Software Engineer, you’ll have the opportunity to take ownership of key features, work with brilliant colleagues, and make a tangible impact on the future of our platform. If you’re ready to solve challenging problems, build innovative solutions, and contribute to a fast-growing startup, Ontik is the place for you.

Founding Applied AI Engineer WilsonAI is building Cursor for lawyers - helping them review, negotiate, and manage contracts with unprecedented speed and accuracy. Weʼre backed by Nomad Ventures and Autopilot, and raised a $1.7M pre-seed round at the end of 2024. Since then, weʼve stabilised our product with early customers, beaten competitors in head-to-head pilots with teams of hundreds and $100Ms in revenue, and scaled via founder-led sales to multi–six-figure revenues - 50X growth since the start of the year. Weʼve been featured in The Lawyer, Artificial Lawyer, and more. Weʼre at the very beginning of the opportunity to transform the $1 trillion legal industry with AI, and weʼre building an elite team to do it. The Role Weʼre looking for an exceptionally driven and smart Applied AI Engineer. Youʼll work very closely with our CTO, across both customer-facing roles as well as deep technical buildouts. You will work very hard, get your hands dirty, and own tasks end-to-end with limited direction. In return, youʼll gain rare exposure to what it takes to scale an AI startup at the ground level, and see what it takes to win. This role will be demanding. What Weʼre Looking For • Strong computer science fundamentals, exceptional clarity of thought, and sharpness in problem solving., • Evidence of personal agency in driving toward net optimal outcomes., • Strong machine learning priors, ideally with experience training ML models for production use-cases., • Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes., • Attention to detail. Code is 15., • Gritty, fast learner, self-directed, and eager to progress much faster than peers. Are you ready? • We are at the cusp of a technological revolution in the legal industry., • We are optimising for speed, and seeking those fast enough to come with us., • This is your opportunity to be at the center of a technological revolution in the legal industry., • If you're ready to challenge yourself, grow exponentially, and make a lasting impact, we want to hear from you.

👷 Role: Full-Stack Product Engineer 🏢 Company Stage: Seed 💰 Funding Amount: $15M + 📍 Location: Central London 💸 Salary: Up to £170k + Equity We’re looking for engineers who just get it. Top tier developers who can talk to clients, figure out potential blockers/bottlenecks, brainstorm end-to-end solutions, and execute ambiguous work without the need for tickets or being told to do it! 💼 Requirements: • 3+ years building full-stack applications with Python/JS, or TypeScript (React, Next.js, Node, etc), • Hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar), • High 2.1/First in Computer Science (or similar) from Top Tier University (Oxford, Cambridge, Imperial, UCL, etc), • Ok with ambiguity. Everything won’t always be clear, but the job is to change that! 🫴 Package: • Up to £170k base salary 💸, • Real equity (🍰👀), • Freedom to build, • Creative space where you can learn from founders who have don’t this before! You don't want to be late for this one - apply now!

Frontend Developer / UX Product Manager London, Marylebone (Hybrid/Onsite) Are you a frontend developer with a passion for great UX? Do you love building intuitive interfaces and shaping how users interact with AI? Are you excited to join a fast-growing startup transforming construction with conversational AI? If you thrive at the intersection of product, frontend, and user experience, we’d love to hear from you. About Us At Prolo, we’re reinventing procurement for the construction industry using AI. Our conversational platform helps customers source materials effortlessly across chat, email, and phone saving time and money with zero setup. We’re a small, ambitious team that moves fast, trusts each other, and enjoys building something genuinely impactful. As Frontend Developer / UX Product Manager, you’ll own the experience of our conversational platform. You’ll shape how users interact with our AI, blending product thinking, UX design, and hands-on frontend contribution. You’ll: • Own the frontend UI/UX of our conversational product, • Define and deliver the product roadmap for the frontend experience, • Design and build intuitive chat and workflow interfaces, • Work closely with engineers to turn ideas into production features, • Improve conversation quality, usability, and conversion, • Use customer insight and data to guide product decisions What We’re Looking For • Experience in Frontend Developer / UX Product Manager, • Ability to design and ship great user experiences, • Frontend experience (React or similar) or strong technical fluency, • Product mindset: user-focused, data-driven, commercially aware, • Comfortable working in a fast-moving startup environment, • Interest in AI, LLMs, or conversational products (experience is a plus) What’s in It for You? • Real ownership over a core product experience, • Work on cutting-edge AI technology, • Close collaboration with a talented, ambitious team, • Competitive salary and equity, • A culture that values pace, trust, and impact, • The chance to help build a product customers genuinely love Apply today and help us build the future of construction at Prolo. Prolo Ltd is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds. NO AGENCIES PLEASE

Position: Senior Software Engineer Location: London, UK Salary: £75K - £110K OTE Equity: Competitive equity Signing Bonus: Up to $10k for unique cases Are you a builder at heart who thrives in early-stage startup environments? Join a dynamic, Series A-funded company revolutionizing corporate travel with AI-powered solutions. We're managing over $4B in corporate travel spend for world-leading enterprises and are on the lookout for a Senior Software Engineer to be part of our founding team. What You'll Do: • Design, build, and deploy end-to-end features across the full stack, including frontend, backend, and infrastructure., • Contribute to robust data pipelines and integrations that drive financial and emissions insights., • Collaborate closely with product, design, and customer teams to solve real customer problems and shape the product vision., • Take ownership of systems from design through deployment, making pragmatic technical decisions., • Help shape our engineering culture and define best practices that will scale with the company. What We're Looking For: • 4-7 years of experience in full-stack software engineering, building B2B SaaS products., • Proficiency with React/TypeScript for frontend and Node.js/Python for backend development., • Experience building data pipelines, ETL processes, and analytics systems., • Startup experience with a hands-on, autonomous building mindset., • Strong communication skills for customer-facing demos. Nice To Have: • Experience in travel tech or fintech., • Female or diverse candidates are highly encouraged to apply. Why Join Us? • Be part of a founding team with a significant impact on shaping product and engineering culture., • Engage with enterprise clients, gaining exposure to real-world applications and customer feedback., • Work in a hybrid environment with 1-2 days in-office, fostering collaboration and innovation., • Benefit from our competitive compensation package, including potential signing bonuses for unique cases. If you're ready to tackle big challenges and drive innovation in the corporate travel industry, we want to hear from you! Apply now to be part of our journey. #TheLanesGroup #LanesRecruitment #SoftwareEngineer #London

numi is partnered with a high-growth, seed-funded AI startup building the next generation of autonomous AI for Client Services. This isn't another LLM wrapper. Our client is designing multi-agent systems that genuinely operate inside complex enterprise organizations, understand rich context, and take real-world action. With a freshly signed seed round and a clear path to $2M ARR by 2026, we are assembling the Founding Engineering Team to build the core platform for scale. The Role & The Challenge We are hiring four Founding Engineers to shape the architecture, product direction, and technical culture from the ground up. You will work directly with the CTO and CEO in a low-bureaucracy, output-focused environment where your early architectural decisions will define the product for the next 3–5 years. Core technical hurdles include: • Multi-Agent Orchestration: Designing a "Master Agent" to route tasks to specialized sub-agents., • Persistent Memory: Engineering systems that maintain dynamic context and recall per user., • Action-Oriented AI: Safely integrating agents with business tools to execute actions autonomously., • Enterprise Security: Architecting strict data boundaries and complex permissioning. What You Bring: • Strong backend/systems engineering experience (Python/Django/Langchain Agentic stack) with a recent focus on LLM application layers (e.g., agentic workflows, complex RAG, React)., • A proven track record of designing highly scalable architectures and integrating external APIs., • Startup DNA: You are a builder who thrives in fast-paced, high-ownership environments., • Bonus: Previous founding team experience, deep knowledge of enterprise security, or hands-on work with multi-agent orchestration. Location: London (Hybrid, 2–3 days/week to build culture). Exceptional remote candidates considered with London onboarding. Fast-Track Process: Numi Screen ➡️ CTO Interview + short task (15 mins) ➡️ System Design ➡️ CEO Culture Interview.

Role: Senior Backend Engineer Salary range: 80-90k Location: x2 days pw in Central/East London Tech stack includes: Typescript, NodeJS, SQL, AWS, Terraform, Current team size: overall circa 20 (each team dedicated EM, FE, BE, iOS/Android etc) We're working with a Series C funded, healthtech startup company - their mission? helping people with addictions! They're hiring for a Product minded Senior Backend Engineer to join! Essentials for this role: • 4+ years Backend experience - Typescript/Node ideally but welcome other backgrounds., • Self starter / autonomous - evidence of being able to own things independently., • Problem solver mentality, • Product mindset Bonus: • AWS / Serverless experience No sponsorship available sorry!

Technical Partner Specialist (Europe-based) Location: Europe (remote-friendly, with regular overlap into US hours) About Stream Stream connects hospitality brands to the systems they rely on every day - from Point of Sale platforms like Square, Toast and Shift4, to marketplaces like DoorDash, Deliveroo, JustEat, and Uber Eats. We’re a small, fast-moving startup building the connective layer between restaurant technology platforms. We’re looking for a Europe-based Technical Partner Specialist to own Stream’s technical partner integrations and provide strong coverage across global time zones. This role is globally scoped - you’ll support partners and brands across both North America and Europe, while working closely with Stream’s US-based product, engineering, and leadership teams. What You’ll Do • Own partner integrations end-to-end as the primary technical point of contact for Stream’s partners globally., • Lead partners through the full integration lifecycle: technical discovery, scoping, build, launch, and post-launch optimization., • Act as a hands-on technical expert for partners integrating with Stream’s APIs, webhooks, and data flows., • Support integrations across complex ecosystems including POS platforms and ordering / delivery channels used in the US and Europe., • Troubleshoot integration issues by reviewing logs, payloads, configurations, and API behavior., • Coordinate closely with Stream’s US-based engineering, product, and support teams to drive issues to resolution., • Create and maintain clear partner-facing and internal documentation: quickstarts, integration guides, checklists, FAQs, and best practices., • Take full ownership when things break - managing partner communication, expectations, and follow-through across time zones., • Propose and implement improvements to how Stream onboards, supports, and scales technical partners globally. What You Bring • Experience in a technical, partner-facing role (integrations, solutions engineering, technical support, developer support, technical account management, etc.)., • Strong API fluency - comfortable working with REST APIs, webhooks, JSON payloads, authentication, and environments., • Ability to read API documentation, diagnose integration issues, and clearly explain technical concepts to technical and non-technical stakeholders., • Strong written and verbal communication skills., • Comfort working across time zones and collaborating with US-based teams., • A high-ownership mindset - you’re comfortable operating in a small startup with ambiguity and responsibility., • A service-oriented approach - you care deeply about partner success and will dig in to unblock issues. Nice to Have • Light development or scripting experience (enough to test APIs, validate integrations, or build small internal tools)., • Hands-on experience with tools like Postman or similar., • Experience in restaurant tech, POS, ordering, or delivery platforms., • Prior experience at a startup or small team., • Experience supporting enterprise or multi-location partners. What We Offer • Europe-based, remote-first role, • Competitive, market-aligned compensation, • Equity options - real ownership in the company you’re helping build, • High autonomy and responsibility, • The opportunity to shape Stream’s global technical partner function Why This Role Is Exciting • Global impact: You’ll own technical integrations for partners across the US and Europe., • True ownership: You’re accountable for integration success, not just support responses., • Cross-functional exposure: You’ll work daily with Stream’s product, engineering, and leadership teams., • Startup pace: Decisions get made quickly and implemented., • Career growth: Clear path to senior technical partnership or solutions leadership as Stream grows.

Sekkari: Building the Brains behind Autonomy Are you driven to push the limits of technology and unlock true autonomy? At Sekkari, we’re building the brains behind autonomy by designing advanced photonic integrated circuits that overcome processing bottlenecks of today’s systems. Our mission is to unlock true, real-time intelligence across aerial platforms, ground systems and robotics. Join our fast paced and supportive start-up, and help shape the future of computing for edge devices. Overview Sekkari is seeking a highly skilled and motivated Electronic Integrated Circuit (IC) Design Engineer to play a crucial role in the design and simulation of our cutting-edge electro-optical chips. This position offers the opportunity to work on innovative solutions that will redefine the capabilities of autonomous systems. The successful candidate will have a strong understanding of chip design principles and architectures, and hands-on experience with industry-standard EDA tools. Responsibilities • Architectural Design: Lead the design and implementation of electronic ALUs and Flip-Flops, and their coherency protocols, • System Integration: Design the logic responsible for running kernels, ensuring high-throughput data paths between the electronic and optical domains, • RTL to GDSII: Drive the full digital design flow, including micro-architecture, RTL coding (Verilog/SystemVerilog), synthesis, and timing closure, • Cross-Domain Collaboration: Work closely with the Silicon Photonics team to define the interface between the two parts of our hybrid chip, • Performance Modeling: Analyze how architectural choices impact software-level performance, ensuring the hardware efficiently supports OS-level task scheduling and kernel execution, • Verification & Validation: Develop comprehensive simulation and hardware emulation plans to verify logic correctness and power/performance targets Qualifications • Traits: Curiosity is a key driving force for our work. We believe that curiosity brings discipline since it requires constant questioning. We also look for empathetic people. We want to cultivate a culture of empowerment where we look to collaborate and help each other grow., • Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field, • Core Experience: Proven experience in Digital IC design with a focus on Computer Architecture (cache hierarchies, bus protocols, task scheduling, and memory management units), • Architectural Insight: Deep understanding of how hardware design influences software capabilities, particularly regarding kernel execution and OS resource management, • Tool Proficiency: Expertise in industry-standard EDA tools (Cadence, Synopsys, or Siemens) for synthesis, timing analysis, and physical design, • Hybrid Mindset: While you focus on the electronics, an interest in or exposure to Silicon Photonics or Heterogeneous Integration is a significant plus, • Startup DNA: Exceptional problem-solving skills and the ability to pivot quickly in a collaborative, fast-paced environment How to Apply Interested candidates are invited to submit their resume and a compelling cover letter to . In your cover letter, please highlight your relevant experience and explain why you are passionate about contributing to Sekkari's mission to build the brains behind autonomy.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc., • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite.

💻 We’re Hiring: Senior Software Engineer – Systems Improvement & Scale 🏢 Company: Car Planet 📍 Location: Enfield 🕘 Full-Time (Open to initial contract trial) Car Planet is a fast-growing car supermarket and automotive retail business building and running our own in-house platforms — including Autogrid (our core Dealer Management System), plus supporting systems like Audiofy (call intelligence) and RoutePortal (logistics & routing). We’re looking for a senior, pragmatic software engineer to inspect, stabilise, and improve live, revenue-critical systems as the business scales. You’ll work hands-on with existing production systems to improve performance, reliability, and maintainability — without disrupting day-to-day operations. 🔹 What You’ll Be Doing • Take ownership of an existing production codebase, • Identify technical debt, performance bottlenecks, and architectural risks, • Improve system stability, scalability, and maintainability incrementally, • Safely refactor critical areas without disrupting live operations, • Work across multiple internal systems:, • Primary ownership: Autogrid, • Secondary oversight: Audiofy & RoutePortal, • Review code and raise engineering standards, • Partner closely with the CEO, product, and operations teams, • Turn business problems into practical technical solutions 🔹 What We’re Looking For Essential ✔️ 5+ years professional software development experience ✔️ Proven experience working on live production systems ✔️ Full-stack JavaScript / TypeScript (Next.js, Node, APIs, databases) ✔️ Python experience (scripting, services, tooling, data processing) ✔️ Strong refactoring and system-improvement skills ✔️ Comfortable in fast-moving, imperfect environments ✔️ Able to work autonomously with strong judgement on priorities & risk Highly Desirable ⭐ C# / .NET experience ⭐ Startup or scale-up background ⭐ Technical leadership experience ⭐ Experience across multiple internal products 🔹 The Package 💰 Salary: £40,000 – £60,000 (DOE) 📝 Open to initial contract engagement before permanent hire Benefits: • 28 days annual leave (incl. Bank Holidays), • Company events, • Employee discount 🕘 Working Hours: Monday – Friday | 09:00 – 18:00 📍 On-site in Enfield 📩 Interested or know someone who fits this well? Send me a message or apply directly — we’d love to talk 👋

About Medly AI We're the fastest growing EdTech startup in London, on a mission to change education forever. We're living through a once-in-a-generation moment where AI-native companies are redefining entire industries - Cursor for code, Midjourney for image gen, Harvey for law. Medly is building a generational company for education. In just 4 months since launch, we've achieved retention rates that beat Duolingo and delivered personalized education to over 100,000 users. We're looking for ambitious talent to join our team. Backed by impact-focused VCs and supported by partners including UCL, Innovate UK, Microsoft, and Google, we're becoming the go-to AI education platform for all major exams worldwide. The Role We are looking for a passionate Junior Fullstack Engineer to join our growing team at Medly. This is a new role working closely with our hands-on Technical CEO and other Full Stack Engineers to build and improve our web and mobile products. You will play a pivotal role in high-impact projects across our entire stack, from crafting polished user interfaces in Next.js and React Native to building robust backend services in Python. This is a high-impact opportunity for someone eager to learn fast, take ownership, solve real problems, and help power the next generation of educational technology. Role Responsibilities • Build and maintain features across our web app (Next.js) and mobile app (React Native), • Contribute to our Python backend and help improve API performance, • Collaborate on database design and write efficient queries in Postgres, • Work with AWS services to deploy and maintain our infrastructure, • Ship polished, user-facing features that directly impact student learning, • Collaborate closely with the CEO and other Full Stack Engineers on high-impact projects Technical Requirements • Recent graduate or up to 1 year of professional experience, • Familiarity with JavaScript and Next.js (React or React Native experience is a plus), • Basic knowledge of Python, • Understanding of SQL and relational databases, • Eagerness to learn cloud services (AWS experience is a plus but not required) Ideal Candidate • Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences, • Collaborative Spirit: Ability to work closely with designers, product managers, and other developers, • Educational Interest: Passion for education and learning, though specific EdTech experience isn't required, • Startup Mindset: Thrives in fast-paced environments with rapid iteration and high impact, • Innovation Drive: Excited by the opportunity to build cutting-edge educational technology What We Offer • Competitive salary, • Opportunity to make a real impact on educational outcomes for students worldwide, • Collaborative, diverse team united by a powerful mission, • Fast-paced environment with significant growth and development opportunities, • Regular team events and a culture focused on innovation and impact, • Work on products used by tens of thousands of students daily, • Shape the future of AI-powered education

Full-Stack Engineer – Early-Stage AI Platform About the role A high-growth AI startup is looking for an exceptional full-stack engineer to join as one of their first hires. The company is building a platform that automates complex workflows for professional services, enabling users to draft documents, analyse orders, summarise transcripts, and quickly locate key information. This is a unique opportunity to work closely with a small founding team, shipping production code from day one and owning major features end-to-end. You will engage with users to understand their needs, scope problems, develop solutions, and continuously improve them. Responsibilities • Work across the full stack, including cloud infrastructure, backend (Python), frontend (Next.js with TypeScript), and databases (PostgreSQL), • Collaborate with users to understand workflows and requirements, • Architect and scale document ingestion and processing pipelines for fast, accurate data extraction, • Develop intelligent multi-step AI workflows to automate complex tasks, • Design intuitive, AI-native user experiences tailored to professional workflows, • Improve system performance, stability, and observability as the platform scales, • Contribute to engineering culture, including best practices, mentorship, and hiring Requirements • Self-directed and highly capable, • Passionate about building outstanding products for demanding users, • Excited by hard problems, with high ownership and a bias for shipping, • Strong product judgement, communication skills, and attention to detail, • Bonus: interest or experience in legal tech, document processing, or AI workflows Why this opportunity is compelling • Be part of a small founding team shaping a category-defining company, • Work directly with major professional services firms in the UK and US, • Significant ownership and equity potential, • Early influence on engineering culture and product direction Details • Location: London, hybrid (minimum 3 days/week in office), • Salary: £100–130k, plus meaningful equity

Senior Software Engineer | Senior Engineer | Senior Full Stack Engineer 💰Up to £110,000 per annum 🏡Office based in Central North-West London, 2 days a week in office 💻TypeScript, Node.js, React.js. My client are a Series A–funded startup building a product-led platform used by customers across multiple international markets. Much of the work is zero-to-one, with engineers playing a key role in shaping both the product and the technical foundations as the company scales globally. The team works at pace, close to users, and on real-time data problems, making this a strong fit for senior engineers who enjoy ownership, ambiguity, and building meaningful products from the ground up. You’ll work end to end across the application, contributing to product discovery, feature development, and platform scalability. Engineers are deeply involved in product decisions and work closely with product and design to deliver high-impact functionality quickly and reliably. Responsibilities: Design and build product features across the full stack using TypeScript Develop backend services and real-time APIs using Node.js Build and maintain frontend applications using React Work closely with product and design on problem discovery and solution design Contribute to architectural decisions as the platform scales Help evolve a zero-to-one codebase into a robust, scalable system Requirements: Senior-level experience as a software engineer, ideally in a startup or scale-up Strong experience with TypeScript across frontend and backend Hands-on experience with React and Node.js Comfortable working on early-stage, ambiguous, zero-to-one problems Product-focused mindset with experience working close to users Based in or able to work from London What’s offered: Competitive salary and equity High ownership and influence on product direction Opportunity to work on real-time, data-driven systems Hybrid working and a growing engineering team If you’re a senior engineer looking for a hands-on, product-driven role in a high-growth start-up environment, please apply below. Senior Software Engineer | Senior Engineer | Senior Full Stack Engineer

TalentCo are delighted to be working with an AI startup looking to hire a high-calibre Lead AI Engineer into their growing engineering team in the UK, having recently closed a significant seed funding round. This is a senior individual contributor hire and can be based remote-first anywhere in the UK, for this London HQ'd startup. You will drive the technical evolution of the clients AI-first platform and serve as their resident AI expert. You will be a core software engineer architecting the complex systems that make AI useful in production, splitting your time between crafting complex AI processing architectures and hands-on data/backend engineering, with the rest spent doing whatever is needed to ship. As Lead AI Engineer you will: • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategically Advise: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimisation. We want to hear from you if you bring: • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What do they offer? • Base salary c£150k, • Remote-first with occasional trips to the London HQ to see the team, • Apple devices and the best AI tooling, • Meaningful early-stage share opportunities, • Career rocket fuel - real growth, real ownership, real impact

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role As Digital Engineering Tools & Platform Manager, you will own and evolve Humanoid’s engineering tooling ecosystem across mechanical, electrical, simulation, and robotics disciplines. This is a hands-on technical role focused on defining standards, enabling engineering velocity, and ensuring reliable data flow from CAD through simulation, robotics, and manufacturing.You will act as the Siemens NX (NXX) subject-matter authority, defining modelling best practices, methodologies, and automation patterns, while partnering closely with engineering leadership to scale effective ways of working. What You’ll Do • Mechanical, Electrical, Robotics, Simulation, and Controls Engineering teams, • The PLM Architect, who owns Teamcenter X configuration, data schema, and lifecycle governance, • IT and Platform teams, to ensure secure, performant, and scalable tooling environments, • The IT Director, to align engineering tooling strategy with company growth, • Engineering CAD & ECAD Platform Ownership, • Own the installation, configuration, and optimisation of Siemens NX (NXX) and Altium Designer for mechanical and electrical engineering teams., • Define and maintain NX modelling methodologies, templates, drafting standards, and reuse libraries., • Act as the NX best-practice authority and escalation point for modelling, assemblies, WAVE linking, parametrics, and performance., • Ensure tooling configuration supports consistent, scalable engineering practices rather than ad-hoc usage., • Digital Engineering & Robotics Integration, • Enable reliable CAD → simulation → robotics data pipelines across mechanical, electrical, and controls domains., • Support and guide engineers in generating and maintaining URDF-compatible robot models from NX., • Define workflows for geometry simplification, joint configuration, mesh preparation, and coordinate-system discipline., • Maintain and improve integration pipelines for Isaac Sim / Omniverse, including USD conversion, asset libraries, and validation practices., • Ensure consistency of kinematics, mass properties, and interfaces between CAD, simulation, and deployed robotic systems., • Automation & Engineering Velocity, • Develop and maintain automation scripts and tooling using NXOpen, Python, or equivalent to remove repetitive manual work., • Streamline engineering data flows from design through simulation and manufacturing., • Proactively identify friction points in the engineering toolchain and implement pragmatic improvements., • Enable engineers to move faster without sacrificing data quality or downstream reliability., • MCAD / ECAD Data & Release Enablement, • Define standards for MCAD–ECAD alignment, including housings, PCBs, connectors, harnessing, and subsystem integration., • Maintain governance over standard component libraries for both NX and Altium, in partnership with engineering leads., • Support design reviews, BOM validation, configuration control, and release-to-build workflows., • Deep, hands-on expertise in Siemens NX (NXX) within production engineering environments and strong experience on NX best practice., • Demonstrated experience defining and enforcing CAD methodologies and best practices, not just using the tool., • Strong understanding of top-down modelling, skeleton models, WAVE linking, parametric design, and assembly performance., • Experience integrating CAD data into simulation and robotics workflows (e.g. URDF, digital twins, kinematic models)., • Practical automation experience using NXOpen, Python, or similar, applied to real engineering problems., • Ability to work credibly with senior mechanical, electrical, and robotics engineers., • Comfortable operating in a fast-moving, scale-up environment — pragmatic, outcome-driven, and ownership-oriented., • Experience working alongside Teamcenter X or similar PLM platforms., • Exposure to Altium Designer and MCAD–ECAD collaboration workflows., • Familiarity with robotics simulation platforms such as Isaac Sim, Omniverse, or equivalent. What We Offer • Competitive salary plus participation in our Stock Option Plan., • Paid vacations., • Travel opportunities to our Vancouver and Boston offices., • Office perks: free lunches., • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritizing speed, transparency, and minimal bureaucracy.

About S-Cube S-Cube is an award-winning energy tech startup revolutionizing the seismic industry. We are at the intersection of deep physics and cutting-edge Machine Learning. Our flagship technology, XWI, allows major global energy companies to "see" underground with unprecedented clarity. Role Description/Responsibilities As a Full Stack Engineer, you will architect and evolve the central nervous system of our operations: a sophisticated internal platform used by Geophysicists and Algorithm Developers to manage massive computational workloads running from both in-house and external users. You will bridge the gap between complex ML backends and intuitive user interfaces, creating tools that directly accelerate our R&D and optimise the QC process of our advanced algorithms. Key Responsibilities • Architect Scientific Platforms: Design and build scalable full-stack applications using Django and Angular. You will play a major role at the development lifecycle of our core dashboard, the central hub of our imaging workflows., • Optimize ML Workflows: Develop robust systems to query, parameterize, and track ML workloads. You will build utilities that allow our scientists to compare high-compute jobs, identify trends, and streamline the process., • User-Centric Feature Development: Collaborate directly with our internal users (PhDs, Geophysicists, and Algo Developers) to translate complex scientific requirements into seamless UI/UX features. We believe in using the right tool for the job. Our core environment includes: • Backend: Python, Django, RESTful APIs, SQL (PostgreSQL/MySQL)., • Frontend: TypeScript, Angular, HTML5/SCSS., • Cloud & Ops: AWS (EC2, S3, Lambda), Docker., • Data/ML Context: Interaction with ML pipelines and high-performance computing tasks., • Bachelor's (BSc) or Master's (MSc/MEng) degree in Computer Science, Physics, Mathematics, or a related field, • 3+ years of industry experience, • Proficiency in Python and Angular is essential., • Demonstrated expertise in both frontend and backend development, utilizing frameworks like Django, Angular, Rest, etc., • Strong command of SQL or equivalent database technologies, • Experience with ML workflows and agentic systems, • Bonus: experience working with cloud services and implementing/managing CI/CD pipelines

DeFi Developer — High-Performance Crypto Trading Systems (London) Our client is hiring a sharp, ambitious DeFi Developer to join their DeFi trading team building high-performance systems that operate directly on decentralized markets. You’ll work hands-on across the full trading stack — from on-chain integrations and execution logic, to infrastructure, monitoring, and performance optimization. What you’ll do • Build and ship production-grade code (primarily Rust + Python), • Develop systems that interact with on-chain protocols and infrastructure, • (Solidity, JSON-RPC, Solana, MEV workflows, etc.), • Improve real-time monitoring, execution pipelines, and strategy tooling, • Debug and optimize end-to-end performance: latency, reliability, throughput, • Work with protocol teams and external projects to unlock new market opportunities, • Grow into end-to-end ownership across DeFi integrations and trading infrastructure Why this role is unique • Full systems exposure — infrastructure, execution, strategy logic, on-chain interaction, • DeFi at the core — learn how protocols work under the hood and how on-chain dynamics create edge, • Elite teammates — small, world-class group of engineers, quants, and traders, • Startup velocity — fast decisions, frequent shipping, immediate production impact This is an ideal role for someone who sees themselves as a top technologist and wants to work in one of the most cutting-edge environments in finance and crypto. What we’re looking for We’re looking for driven developers who want to learn fast by working on hard, meaningful problems. You should have: • 3–7 years of professional software engineering experience, • Strong fundamentals and ability to write clean, testable, efficient code, • Solid CS foundation: algorithms, data structures, concurrency, networking, etc., • Strong ownership mindset and clear communication Signals of technical excellence (any of these helps): • Top academic performance in CS / math / physics / engineering, • Competitive programming / olympiad success (ICPC, IMO, IOI, IPhO, etc.), • Experience at a highly selective tech company, trading firm, or fund Language & technical background • Rust preferred, but you should be strong in at least one systems/statically typed language:, • C++ / Java / Go / C# / Kotlin / similar Nice to have Strong preference • Understanding of trading systems, market structure, or strategy implementation Bonus • DeFi familiarity: smart contracts, blockchain APIs, MEV, Solana, • Rust experience, • Infrastructure/observability tools (AWS, Grafana, etc.), • Strong math/stats background (modeling, simulation) Team culture Our client values: • High ownership and initiative, • Curiosity, intellectual honesty, and rapid learning, • Clear, direct communication, • No ego, no politics — just building and improving together

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision: In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution: As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We are seeking a highly skilled and motivated Staff/Senior Simulation Robotics Engineer to join our innovative team. The ideal candidate will have a strong background in robotics, simulation, and software development and will be responsible for developing and maintaining advanced simulation environments for robotic systems, enabling the testing and validation of complex robotic behaviors and algorithms. The successful candidate will have the opportunity to work on cutting-edge robotics projects with a talented team in a flexible and supportive work environment with opportunities for professional growth and development. What You’ll Do: • Simulation Development: Design and implement high-fidelity simulation environments for robotic systems, incorporating realistic physics, sensor models, and environmental interactions., • Software Engineering: Write clean, maintainable, and scalable code, utilizing modern software engineering practices and tools., • Digital Twin Integration: Develop and maintain interfaces to facilitate the creation of a digital twin for seamless transfer of insights and control strategies between simulation and real robots., • Gym environment. Design Gym-like environments to support the robot learning team in developing locomotion and manipulation policies., • Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement., • Cross-Team Collaboration: Work closely with other engineers and researchers, especially across multiple teams such as manipulation, locomotion, VLA, Reasoning Design & Hardware, and Control & Integration, to ensure seamless integration of simulation tools into the overall robotic development workflow., • Trend Awareness: Stay informed on current trends in the simulation field and proactively explore their implementation within the company. We’re Looking For: • Education: B. Sc., Master's or Ph.D. in Robotics, Computer Science, or a related field., • Strong programming skills in C++, Python, • Deep expertise in ROS2 and the ROS2 Control stack., • Experience with robotic simulation frameworks, such as MuJoCo and Isaac Sim., • Knowledge of robotic kinematics, dynamics, and control., • Experience with gym-like environments for robot learning., • Familiarity with imitation learning, VLA models & Computer Vision techniques., • A proactive, can-do attitude and a collaborative spirit. What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Flutter Software Engineer About us: Tewke is a growing startup on a mission to change the way people live within their homes, empowering them to automatically save energy and improve their living environment. Tewke is revolutionizing the way homes operate by focusing on sustainable and efficient living. Our touchscreen devices simplify smart homes to save energy, protect health, and enhance automation and security. By eliminating the need for multiple apps and devices, Tewke offers an integrated and straightforward approach. Join us as we lead the charge in creating a healthier, smarter habitat for all. We've developed our own hardware and software to create one of the most advanced home automation platforms in the world. By combining smart grids with home automation, we are pioneers in intelligent control and energy consumption. We are growing fast and looking for wildly ambitious people at the beginning of their career, looking to reshape a rapidly changing industry, to join us as we enter the next stage of development. About the role: We are seeking a talented Flutter Developer to join our team. The ideal candidate will thrive in a fast-paced environment, enjoy taking on responsibility and owning a project, and possess a passion for creating exceptional mobile applications. You will play a crucial role in developing a mobile app for both Android and iOS platforms, integrating with proprietary and third-party APIs, and collaborating closely with backend engineers, designers, and stakeholders to ensure a seamless user experience. The mobile app will sit alongside Tewke’s flagship product, the Tewke Tap intelligent light switch. What you will be doing: • Leading the development of Tewke mobile application for iOS and Android phones using the Flutter framework., • Integrating the Tewke app with our other systems to deliver a smooth user experience for our customers., • Launching software products to an international audience. About you: The ideal candidate will have worked for at least 2 years as Flutter developer working on mobile applications. They should be comfortable working in a fast-paced, dynamic environment with other software engineers across a wide technical stack. We would prefer someone who can work in our London (Southwark) office at least 3 days a week, however we will consider remote candidates. You will need to have the right to work in the UK. • Proficient in Dart and the Flutter Framework, • 1+ years experience working on iOS / Android applications, • Bachelors/Masters degree in Computer Science or similar, • Experience integrating with proprietary and 3rd party APIs, • Ability to work independently, • Good working knowledge of Git and experience with version control software from providers such as GitHub or GitLab, • Write clean, efficient, and reusable code Nice to have: • Experience as a full stack engineer to work across cloud and app infrastructure, • Experience publishing apps in the Apple App Store, • Experience in a small team working independently, • Comfortable using BLoC for state management, • Experience using WebSockets, • Experience working with home automation The perks: • Full autonomy to direct your area of Tewke., • Breakfast in the office every morning before 10am., • Working with an environmentally focused company that’s fighting climate change., • Unlimited holiday., • Share options., • Flexible working- work anytime, anywhere outside of our core hours (Monday-Thurs, 10:00-16:00)., • Fortnightly team socials., • Cycle to work scheme., • Discounts on buying tech products for personal use. Salary £50-60k

Our Mission Ferry is pioneering a new wave of Manufacturing Operations Platforms for the AI age. Our software powers some of the largest manufacturers globally, providing the tools, insights & capabilities for them to revolutionize what & how they produce. We are backed by leading VC funds across both the US and Europe, and partner with some of the largest companies on Earth. If you join us, your work will directly impact the physical world from day 1. The stakes are high for our customers, and in turn they are high for us, so we are held to a demanding standard that pushes us to the best we can be. About the Role We are looking for a highly skilled and adaptable Senior Backend Engineer to help build and expand the core services of the Ferry platform. You’ll be a critical member of the team in designing, developing and scaling the systems that power real-time manufacturing operations. Ferry is a flat startup, and you’ll work directly with the founders, designers and other engineers as we execute on our mission. Our platform is multi-disciplinary, and our tech stack reflects this. We utilize Go and Java on the backend (strong proficiency in one is expected; willingness to learn the other is essential). We also use Python, with Typescript / Next.js on the frontend. We heavily leverage Postgres, Timescale and Redis for storage, and run across AWS, Azure and Terraform for infrastructure. Real-time data pipelines and edge computing are key pillars of the Ferry platform, where we augment Apache Flink and Kafka. Your Day to Day • Build and scale the backend systems that power Ferry’s core platform, • Design and implement performant APIs, data pipelines and integrations, • Collaborate with frontend, platform and data engineers to deliver end-to-end features, • Lead projects from design through deployment, embedding engineering best practices along the way, • Work directly with customers, understand their pain points, and translate them into product improvements, • Rapidly fix bugs and partner with customers when needed, • Develop deep domain expertise in manufacturing systems, • Mentor & support junior engineers, and contribute to a strong engineering culture Who You Are • 7+ years as a Backend Engineer, • Strong proficiency in either Go or Java (and excited to learn new languages & frameworks), • Comprehensive knowledge and experience building, testing and deploying APIs & distributed systems, • Familiarity with microservice architectures and event-driven systems, • Strong knowledge of design patterns, data structures, algorithms and problem-solving, • Experience with cloud-based infrastructure (AWS; Kubernetes and Terraform a plus) and DevOps practices, • Thorough knowledge of Git and other contemporary development technologies, • Ability to write efficient, secure, well-documented and clean code, • Excited by uncertainty, rapid learning and solving hard problems Nice to Have • Experience with Python, • Experience with Kafka and/or Flink, • Familiarity with TimescaleDB or other time-series databases, • Experience with industrial protocols (i.e. MQTT, EtherNet/IP etc), • Experience with IoT or edge deployments

About the Company At Cyber Guardian Consulting Group, we bring Fortune 100-caliber cybersecurity to small and medium-sized businesses. Since 2015, we've been building proactive, lightweight, and cost-effective solutions that meet and exceed modern security requirements. We're security-forward, AI-first, and obsessed with solving real problems for real clients. Headquartered in New York's Hudson Valley with offices in Hudson Yards and Brooklyn, we're now expanding to London—and looking for our first engineer on the ground to help us do it. About the Role This is a senior engineering role. You'll be the first CGCG engineer in London, which means you won't just write code—you'll help shape how we build, hire, and operate as we grow our UK presence. You'll work closely with our US-based engineering and leadership teams while laying the groundwork for what comes next in London. The role starts fully remote. Once we establish a London office, it will transition to hybrid. What You'll Do • Design, develop, and maintain API-based integrations with third-party platforms, • Build and maintain RESTful services, webhooks, and asynchronous workflows, • Troubleshoot integration failures, API errors, and data inconsistencies, • Work with external vendors and internal stakeholders to understand integration requirements, • Ensure integrations meet security, performance, and reliability standards, • Write clear documentation for integration logic, APIs, and data mappings, • Monitor integrations and improve observability (logging, alerts, retries), • Help shape engineering culture and hiring as we build out the London team Required Qualifications • Strong experience working with REST APIs and JSON/XML payloads, • Proficiency in Python or other backend languages, • Proficient or experienced with cloud technologies such as AWS, Azure, or GCP, • Experience debugging API issues using logs, monitoring tools, and API clients, • Comfortable working with relational databases and SQL, • Strong communication skills and ability to collaborate across teams and time zones Nice to Haves • Hands-on experience integrating with third-party SaaS systems (ERP, HRIS, CRM, finance platforms, etc.), • Working knowledge of frontend programming (JavaScript, HTML, CSS), • Comfortable working with Excel, • Experience with authentication methods such as OAuth 2.0, API keys, JWT, • IT background with experience supporting, integrating, or administering enterprise software systems, • Exposure to SOC 2, GDPR, or enterprise security requirements, • Experience with Infrastructure as Code (CDK, CloudFormation, or Terraform), • Knowledge of CI/CD pipelines and deployment automation, • AWS certification, • Comfortable using AI tools in day-to-day work Why This Role? • First on the ground – You'll be the founding engineer in London, with real influence over how we grow here, • Ownership – Own major pieces of our integration infrastructure, from architecture to deployment, • High-Impact Work – Your code ships fast and directly supports our clients, • Career Growth – As the London team grows, so do your opportunities to lead it, • Startup Energy + Stability – We move quickly, backed by real clients, real revenue, and real partnerships What We Offer • 25 days holiday + bank holidays, • Pension scheme with 10% employer contribution, • 2% interest rate reduction on home mortgages, • Professional development & life assistance programs, • Snacks sent to your door—you pick, we pay, • 50% off Apple products, • UberEats credits & life insurance, • Peloton discounts & bi-monthly video game tournaments, • Pet insurance, • And more!

Founding Software Engineer | AI Voice Agents for Skilled Trades £150k to £300k base + meaningful equity + benefits London (on-site, 5 days per week) Founding-level role, high ownership from day one Sponsorship + relocation bonus from anywhere in the world offered. The mission Build AI voice agents that help trades and field services businesses run smoother, scale faster, and deliver a genuinely better customer experience. This is not “AI for vibes.” It’s production automation that answers calls, handles messages, books jobs, and takes actions inside the tools these businesses already use. The story so far (the bit candidates actually care about) • Backed by Y Combinator (S23), founded in 2023, • A ~10 person team building fast and in-person, • Recently raised a Series A, • ~$1.5m ARR If you want a founding role where the product already works, the market is huge, and the backing is real, this is that. What you will do • Build and ship core product features across the stack (Python, TypeScript, cloud infra, event-driven systems, third-party integrations), • Own the lifecycle end-to-end: work directly with customers, scope solutions, ship outcomes, iterate quickly, • Make smart speed decisions: hack an MVP when it unlocks value, then harden it into scalable foundations, • Raise the bar across testing, documentation, reliability, and security as the platform scales, • Build the “hard stuff”: LLM workflows, speech-to-text, text-to-speech, real-time automation, and the glue that makes it reliable in production What you will bring • Strong engineering fundamentals: you can design, debug, and ship reliable systems, • Proficiency in Python or TypeScript, or clear proof you ramp fast, • Experience shipping AI products end-to-end (startup, side project, open source, or at scale), • Comfort working across frontend, backend, and infrastructure (you go where the problem is), • Confidence working with customers or non-technical stakeholders to scope, negotiate, and deliver, • A track record of ownership (shipping gnarly projects, building things people actually use) Bonus points for: early-stage startup experience, voice platforms, event-driven systems The process Screening chat → hands-on technical → architecture deep dive → references → offer. Adjustments available. Understanding Recruitment is acting as an employment agency for this vacancy. We welcome applicants from all backgrounds. If you need adjustments, tell us and we will make it work.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About The Role We are looking for a Robotics Test Automation Engineer to ensure that our robots move, think, and interact with the world safely and reliably. You will own the quality gate for our software releases and lead the validation of new hardware revisions.This is not a standard web-QA role; you will be working directly with Hardware-in-the-Loop (HIL) systems and whole robots, designing automated test benches, and testing regression in complex electromechanical systems. You will play a critical role in decoupling software development from hardware dependencies. What You’ll Do • Software Release Testing, • Release Validation: orchestrate the end-to-end testing pipeline for new software versions, ensuring every release meets safety and performance standards before deploying to the fleet., • CI/CD Integration: Integrate automated tests into our CI/CD pipeline (e.g., Jenkins, GitLab CI, GitHub Actions) to catch regressions immediately after code merges., • Simulation vs. Reality: Expand testing coverage in our simulation environments (e.g., Gazebo, Webots, Isaac Sim) to parallelize software testing before physical validation., • Hardware-in-the-Loop (HIL) & Hardware Revisions, • HIL Framework Design: Build and maintain HIL test benches that simulate real-world inputs (sensor data, motor feedback) to validate control logic on actual target hardware., • New Hardware Bring-up: Collaborate with Electrical and Mechanical Engineering teams to validate new hardware revisions (PCBs, sensors, actuators). You will write the test suites that verify if the new hardware plays nicely with the existing software stack., • Latency & Performance: Measure real-time performance, ensuring that software changes do not introduce dangerous latency in control loops., • Tooling & Infrastructure, • Develop Python/C++/Shell scripts to automate the flashing of firmware and configuration of robot parameters., • Manage test data logs and reports, creating automated dashboards that highlight pass/fail rates and performance trends over time We’re Looking For • Experience: 3+ years in software test automation, with at least 1 year specifically in Robotics, Embedded Systems, or Automotive., • Coding: Strong proficiency in Python (for scripting/testing) and familiarity with C++ (reading production code)., • Robotics Middleware: Hands-on experience with ROS2. You understand nodes, topics, services, and actions., • HIL Experience: Experience building or maintaining Hardware-in-the-Loop systems. You understand how to mock sensor data and interact with hardware interfaces (EtherCAT, Ethernet, I2C, CAN)., • OS: Deep comfort with Linux (Ubuntu) environments., • Nice-to-Have:, • Experience with robotics simulators (Gazebo, Unity, NVIDIA Isaac Sim)., • Knowledge of containerization (Docker) for consistent test environments., • Basic electrical debugging skills (using a multimeter/oscilloscope to verify hardware triggers)., • Experience with safety-critical standards (IEC 61508, ISO 26262). Languages: Python, C++, Bash scripts, • Robotics: ROS / ROS2, • CI/CD: [e.g., Jenkins, GitLab, GitHub Actions], • Hardware Interfaces: CAN bus, Serial, EtherCAT, • Simulation: [e.g., Unity, Ignition, Isaak] What We Offer • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy How to Apply Does this role sound like the perfect fit for you? Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

🚀 We’re hiring a Senior Full Stack Engineer at Birl 🚀 At Birl, we’re building the future of returns for e-commerce. Our mission is simple: make returns effortless for shoppers, valuable for brands, and better for the planet. We’re a small, ambitious startup tackling a problem that touches millions of online purchases every day. There’s a lot to build, plenty of unknowns, and huge opportunity ahead. If you enjoy ownership, moving fast, and figuring things out as you go, you’ll feel very at home here. Now is a brilliant time to join as we scale our platform, deepen our Shopify integrations, and work towards becoming the go-to global returns solution 🌍♻️ The role We’re looking for a Senior Full Stack Software Engineer to join us as an early technical hire. You’ll work closely with the founders and the wider team to build and evolve Birl’s core product, from customer-facing returns flows to merchant dashboards and backend services. This is a hands-on role with real ownership. You’ll help shape technical decisions, influence how we build, and ship things that customers actually use. What you’ll be doing • Designing, building and shipping features across the full stack., • Creating high-quality customer and merchant experiences using React., • Building and maintaining backend services and APIs in Node.js., • Integrating deeply with e-commerce platforms, particularly Shopify., • Working with GCP to ensure our systems are scalable, reliable and secure., • Owning features end to end, from early ideas through to launch and iteration., • Helping establish sensible engineering practices as the team and codebase grow. What we’re looking for • Strong experience working full stack with JavaScript - React (Next.js) and Node.js., • Solid experience in e-commerce, including platform integrations such as Shopify., • Senior-level judgement and the ability to make pragmatic technical decisions., • Comfort working in a small startup with ambiguity, changing priorities and incomplete information., • A scrappy, get-things-done mindset balanced with care for quality and maintainability. Why Birl? • High impact role with genuine ownership from day one., • Small team, no layers, and lots of influence., • Meaningful work at the intersection of e-commerce and sustainability., • Big ambition, fast learning, and plenty of room to grow with the company. Stages: • Initial 15 min chat with a member of our team, • A 30-45 min session with one of our engineers, • Meet one (or both) of our founders We aim to get back to you within a few days no matter which stage you're at! Compensation: £75-90k (depending on experience) Location: Hybrid (London-based) Disclaimer: We're currently not working with any recruiters. If you’re excited by early-stage energy, enjoy solving real problems, and want to help shape a product and team from the inside, we’d love to hear from you.

Founding Engineer – Early-Stage Deep Tech Startup Full-time | Onsite in London £180,000 + Substantial Equity An early-stage, stealth-mode startup is looking for a Founding Engineer to join the team in central London. This is a unique opportunity to help build a transformative new platform at the intersection of software systems, automation, and intelligent infrastructure. Founded by leading academics and proven entrepreneurs, the business is backed by top-tier investors and is solving complex technical problems that demand creativity, rigour, and ambition. The Role • Build and own core systems and architecture from the ground up, • Work closely with the founding team on product direction and technical strategy, • Make key decisions across the full stack — from infrastructure to user-facing elements, • Contribute to the early engineering culture, processes, and hiring Ideal Background • Experience building complex systems in a startup or high-growth tech environment, • Strong computer science fundamentals; comfortable working across multiple layers of the stack, • Demonstrated ability to operate in fast-moving, ambiguous environments, • Bonus: familiarity with compilers, distributed systems, systems design, or programming languages theory Offer • £180,000 base salary, • Significant equity in a high-potential startup, • London-based, full-time — onsite collaboration with a world-class founding team

AI Principal Engineer Competitive salary + equity London, Marylebone (Hybrid / Onsite) Do you thrive on transforming ambitious AI ideas into elegant, scalable systems that solve real-world problems? The focus has shifted heavily toward Agentic AI—systems that use reasoning loops to execute complex business processes independently. This role is currently a major "Force Multiplier," as one engineer building an effective agentic fleet can automate the output of an entire traditional department.Are you excited by the opportunity to shape how an entire industry interacts with conversational AI?Join us at the forefront of the largest and most opportunity-rich markets in the world as we build a category-defining startup from the ground up. This is a rare chance to help modernise a global industry ready for transformation, where your work won’t just ship features, it will redefine how millions of professionals plan, build, and operate.___ If you thrive at the intersection of AI, engineering, and product experience, we’d love to hear from you. About Prolo At Prolo, we’re reinventing procurement for the construction industry using AI. Our conversational platform allows customers to source materials effortlessly across chat, email, and phone, saving time and money with zero setup. We’re a small, ambitious team that moves fast, trusts each other, and enjoys building technology that makes a real difference in a traditionally underserved industry. The Role The Principal AI Engineer is a senior technical expert responsible for designing, developing, and delivering high-quality software solutions. This role emphasizes deep technical proficiency, innovation, and hands-on development, with a specific focus on designing and deploying sophisticated Agentic AI systems. The ideal candidate will serve as a technical authority, proving concepts with the latest AI technology or practices in the form of a spike or proof of concept. What You’ll Be Doing Agentic AI & LLM Engineering • Agentic Workflow Design: Develop multi-agent systems using frameworks like LangGraph or CrewAI for autonomous research and automated coding., • Advanced RAG & Memory: Build sophisticated Retrieval-Augmented Generation (RAG) pipelines for long-term model memory., • Model Optimization: Fine-tune open-source models (Llama 3/4) to reduce latency and costs., • LLMOps: Implement automated "Evals" to measure hallucination rates and tool-calling accuracy., • Tool Integration: Use Model Context Protocol (MCP) to connect agents to internal databases and APIs., • Develop and refine engineering strategies for LLM-based applications., • Collaborate with AI teams to improve model performance and user experience. Software Development & Technical Leadership • Design and implement complex, scalable, and secure applications., • Develop the architecture and ensure adherence to best practices., • Optimize system performance and troubleshoot critical issues., • Write clean, efficient, and maintainable code in Python, Java, and other high-level languages., • Advocate for automation, testing, and continuous integration practices. Innovation & Research • Stay current with emerging technologies, frameworks, and AI advancements., • Prototype and evaluate new tools and methodologies for adoption., • Work closely with product managers, QA, and other developers to deliver high-quality solutions. Required Skills & Experience • Languages: Expert Python proficiency for production-grade AI development; proficiency in TypeScript., • Frameworks: Hands-on experience using LangChain/LangGraph, LlamaIndex, PyTorch, and FastAPI, • Infrastructure: Experience with AWS Bedrock/SageMaker; Docker/Kubernetes for scaling agent instances., • Proven experience building Retrieval-Augmented Generation (RAG) systems; Graph-RAG experience is a plus., • Practical experience with model adaptation techniques, including prompting, fine-tuning, instruction tuning, or knowledge distillation., • Solid understanding of evaluation and experimentation for generative AI, focused on correctness, faithfulness, and robustness, aligning with LLMOps practices., • Demonstrable experience owning technical design and delivery of complex AI, ML, or data-driven systems in production environments., • Experience operating as a senior AI engineer or technical lead, balancing experimentation with production delivery and communicating effectively across teams. What’s in It for You • Real ownership of a core, customer-facing AI product, • The opportunity to work on cutting-edge conversational AI and Agentic Systems., • Close collaboration with a talented, ambitious founding team, • Competitive salary and meaningful equity, • A culture built on pace, trust, and impact, • The chance to help build a product customers genuinely love Apply today and help us build the future of construction at Prolo. Prolo Ltd is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds. NO AGENCIES PLEASE

Do you want to build a predictive AI platform that surfaces opportunities before clients even know they exist? Have you led end-to-end delivery of LLM/RAG/agentic systems in production? Ready to become the technical owner of an intelligence engine at an early-stage startup? A high-growth AI/FinTech startup is building a predictive intelligence platform for financial institutions. Their system connects external market events, client risks and revenue opportunities through real-time agentic AI. Backed by senior ex-consulting and enterprise technology leaders, they’ve already built a functioning MVP and are now hiring their first in-house Lead AI Engineer to take ownership of the core intelligence layer. You’ll work directly with the CTO, shaping the architecture, roadmap and long-term AI strategy. This role suits a builder who wants ownership, deep technical scope and the chance to define the product from the ground up. The Lead AI Engineer will architect and productionise advanced LLM/RAG systems, design agentic workflows, own evaluations and guardrails, and integrate AI modules into a scalable enterprise-grade platform. You’ll collaborate with domain experts from corporate and investment banking, helping turn market foresight into actionable intelligence. Key responsibilities • Design and deploy RAG pipelines, agentic workflows and LLM-based intelligence modules, • Build Python-based AI components, APIs and microservices, • Own evaluation frameworks, observability, guardrails and model governance, • Integrate AI systems into production environments and enterprise workflows, • Work closely with the CTO and guide junior/external engineers, • Translate financial-services use cases into practical AI features Key details • Working model: Hybrid (3 days/week, Central London), • Tech: Python, LLMs, RAG, agentic systems, vector stores, cloud, • Visa: Cannot sponsor Interested? Please apply below.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: • Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment., • Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real., • Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones., • Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining., • Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. We’re Looking For: • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it., • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference., • Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies., • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code., • You document experiments clearly and communicate trade‑offs crisply. Nice-to-Have: • Robotics or autonomous driving experience., • RL for LLMs or robotics (PPO, DPO, SAC, etc.)., • Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization)., • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions., • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • UK Private Insurance, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring Senior Frontend Engineers to join our Core App team. You'll be responsible for building the interfaces and experiences that our users interact with daily, working closely with backend engineers, product managers, designers, and other teams across the organisation. Our frontend stack is modern React with Vite, Turbo, Tailwind CSS, and Storybook. You'll work on everything from core user journeys to sophisticated data visualisations, collaborating with teams across engineering including our Investigations, Platform, and Customer Success teams. What You'll Do • Build responsive, accessible, performant user interfaces using React and modern frontend tooling, • Collaborate closely with designers to implement pixel-perfect UIs and great user experiences, • Work with backend engineers to design and consume APIs effectively, • Write well-tested, maintainable code following established patterns, • Contribute to our component library and design system, • Participate in code reviews and help maintain frontend standards, • Work cross-functionally with other teams to deliver features, • Debug and optimize frontend performance, • Mentor junior engineers and share knowledge with the team, • Build new features and improve existing user journeys What We're Looking For Essential: • 5+ years of professional frontend engineering experience, • Strong expertise in React and modern JavaScript/TypeScript, • Deep understanding of HTML, CSS, and web standards, • Experience building responsive, accessible user interfaces, • Proficiency with modern frontend build tools and workflows, • Strong understanding of state management patterns, • Experience with component-driven development and design systems, • Commitment to testing and code quality, • Excellent collaboration and communication skills, • Self-driven with ability to work independently and as part of a team Highly Desirable: • Experience with our specific stack (Vite, Turbo, Tailwind, Storybook), • Background in SaaS platforms or complex B2B products, • Understanding of web performance optimization and monitoring, • Familiarity with backend technologies to enable better cross-stack collaboration Our Tech Stack: • Framework: React, TypeScript, • Build Tools: Vite, Turbo, • Styling: Tailwind CSS, • Component Development: Storybook, • Testing: Modern testing frameworks, • State Management: Modern React patterns What Success Looks Like In your first 6 months, you will have: • Independently delivered features with high quality and minimal guidance, • Contributed meaningfully to the design system and component library, • Built strong working relationships across Product, Design, and Engineering, • Made impactful improvements to user experience and code quality, • Collaborated effectively with backend teams and other engineering groups Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

About the Company Our client is a fintech startup in NYC and London backed by some of the world’s leading investment banks, building a next-generation data brokerage platform. About the Role Our client is looking for a QA Engineer who takes ownership of product and platform quality end-to-end. This role sits close to backend engineering and DevOps and focuses on: • Preventing regressions, • Improving test coverage, • Ensuring reliability across APIs, data pipelines, and workflows, • Making quality visible and measurable You’ll help define how quality works at the Company, not just execute test cases. Responsibilities Quality Engineering (Core) • Designing and maintaining automated test suites, • Writing and maintaining:, • API tests, • Integration tests, • End-to-end workflow tests, • Validating:, • Data ingestion flows, • File-based workflows (CSV / Parquet), • Region-specific and customer-isolated data paths, • Testing error cases, edge cases, and failure modes, • Ensuring backward compatibility of APIs and schemas Tooling & Process • Improving test strategy across environments (UAT, staging, prod-like), • Integrating tests into CI/CD pipelines, • Helping define release quality gates, • Working with engineers to reproduce, isolate, and fix issues, • Improving documentation around testing and known limitations Collaboration • Working closely with backend engineers and frontend engineers, • Reviewing feature designs from a testability perspective, • Participating in architecture discussions with a quality lens Our Client's Tech Stack (Context) • Backend: Python 3.11+, FastAPI, • Frontend: TypeScript, React, • Infra: AWS (ECS/Fargate, S3, RDS, CloudFront), • Data: PostgreSQL, CSV / Parquet, • CI/CD: GitLab CI, • IaC: Terraform, • Testing: Pytest, Postman/Newman, custom scripts You don’t need to know everything — but you should be comfortable navigating a modern backend stack. Qualifications Must-have • Experience in QA / Quality Engineering for backend or API-driven systems, • Strong understanding of automated testing, • Ability to read and reason about backend code (Python or similar), • Experience testing APIs (REST, auth, error handling), • Good understanding of data validation and edge cases, • Structured, methodical approach to quality Nice-to-have • Experience with Python + Pytest, • Familiarity with CI/CD pipelines, • Experience testing data-heavy or file-based workflows, • Exposure to regulated environments (fintech, banking, healthcare), • Understanding of cloud-based architectures (AWS) What You’ll Like at our Client • QA treated as an engineering discipline, • Early involvement in design and architecture, • No “throw it over the wall” culture, • High trust, low bureaucracy, • Real production impact, • Remote-friendly, flexible working style, • Competitive compensation based on experience Equal Opportunity Statement Our client is committed to diversity and inclusivity.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy, • Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 • Experience leading and mentoring other ML engineers, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience taking complete ownership of entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • Lead an ML team that will become the leading specialists in ML-powered education, • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

Backend Engineer (AI Platform) - London £80k–£100k + EMI equity About the Role We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role -you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains. If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you. Compensation: £80,000–£100,000 base + EMI equity Location: London About Revax Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows. What You’ll DoBuild & own core backend systems · Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls · Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns) Collaborate closely with founders & product · Shape system architecture and API design alongside full-stack and ML engineers · Translate ambiguous product ideas into robust backend implementations · Iterate quickly based on real customer usage and feedback What We’re Looking For Essential · 2-3 years building backend systems for real users · Production experience with FastAPI (or similar modern Python frameworks) · Solid understanding of API design, PostgreSQL, and distributed systems fundamentals · Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience deploying and working with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high-impact technical decisions · AI-native product with real customers and immediate feedback · Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP · Meaningful early-stage equity: we hire owners, not passengers · A lean, low-ego, high drive team that ships fast and cares about their work Practical details · London based (strong preference for in office collaboration) · Visa sponsorship available

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking for an ML Engineer who: • Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.), • Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment, • Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces, • Can work closely with chemists and biologists, and actually make the models useful, • Has experience delivering in a fast-paced environment You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap. Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership. Salary: £90,000 - £120,000 + generous equity

Founding Product Engineer London - Full Time - On-site An early-stage technology company operating in stealth is hiring a Product Engineer to help build and scale a core product used to support complex, real-world workflows. The company is early in its journey but already has live users and strong momentum. This role suits someone who enjoys ownership, ambiguity, and building real product rather than working to fixed tickets or narrow scopes. The role You’ll work across frontend, backend, and product, owning features end-to-end from idea through to production. There’s a strong emphasis on usability, workflow design, and shipping quickly. Key Requirements • Experience working closely with clients - consulting and tailoring to their needs, • Experience building full stack products in production, • Strong frontend experience with TypeScript and a modern framework (React or similar), • Backend experience in Python, • Exposure to integrating AI-powered features into real products, • Comfortable working with loosely defined requirements Nice to have • Early-stage startup or founding team experience, • Experience working on AI-enabled products, • Enjoys high ownership and broad responsibility What’s on offer • High-impact role with real product ownership, • On-site role in London, • Visa sponsorship and relocation support available, • Small, senior engineering environment A strong opportunity for someone who wants to help shape a product and move quickly in a low-bureaucracy environment. Interested? Apply now or reach out to Oscar Harper at IC Resources

🚀 Senior Full-Stack Engineer (Backend-Leaning) – SaaS + AI Join a seed-stage SaaS startup backed by leading VCs, adopting AI to redefine their product. They’re pre-PMF, mid-pivot, and need a hands-on engineer (~80% coding) to help build, define, and scale. 💰 Comp: Up to £100k + strong early stack equity package 🧑 💻 What you’ll do • Full-stack engineering, backend-leaning (Next.js FE + BE, Node.js, TypeScript, legacy Python), • Collaborate with product & CEO to shape the roadmap, • Help guide a small, senior team, • Work on AI / agentic systems integration 🏢 Setup Hybrid: 2+ days/week in Moorgate Small, flat team with fast decisions If you’re a hands-on engineer who loves building SaaS products with AI, let’s chat! 👋 🚀 Senior Full-Stack Engineer (Backend-Leaning) – SaaS + AI

👷 Role: Founding Engineer 🏢 Company Stage: Seed 💰 Funding Amount: $20M + 📍 Location: Central London 💸 Package: Up to £250k We’re looking for engineers who don’t wait for tickets to tell them what to do! The kind who enjoy jumping into messy problems, talking to real users, sniffing out bottlenecks early, and sketching solutions that actually ship. If ambiguity energizes you, ownership feels natural, and you like having real say in the product, you’ll feel very at home here! 💼 Requirements: • 4+ years building full-stack applications with Python/JS, or TypeScript (React, Next.js, Node, etc), • Hands-on experience working with LLM and RAG, • High 2.1/First in Computer Science (or similar) from Top Tier University (Oxford, Cambridge, Imperial, UCL, etc), • Ok with ambiguity. Everything won’t always be clear, but the job is to change that! 🫴 Package: • Up to £250k base, • Real equity 🍰, • Freedom to build, • Creative space where you can learn from founders who have don’t this before!

Senior Software Engineer | London | £100,000 | Security | Python Location: London (hybrid) Salary: £90,000 - £100,000 (+/- 10% DOE) + benefits This is a proper backend role, not a support function. You’d be joining a security start-up where the systems you build are the product, powering complex, compute heavy workflows that need to be correct, observable, and resilient under pressure. If you enjoy owning things end to end and thinking hard about failure modes, you’ll like this. What you’d be doing • Designing and building core backend services in Python using modern async frameworks, • Owning high throughput asynchronous pipelines and background processing, • Working on distributed systems where reliability actually matters, • Turning technically complex research work into production grade services, • Partnering closely with product, security and AI researchers, • Influencing architecture and technical direction rather than inheriting it The ideal candidate is someone who has built and operated backend systems that actually see production traffic and understands that good engineering is as much about judgment as it is about code. You’re comfortable working in ambiguity, you ask the right questions early, and you take responsibility for the outcomes of the systems you build. You care about how things fail, not just how they work on a good day, and you’re confident collaborating with researchers and specialists to turn complex ideas into reliable, usable products. The environment • Innovative and adult engineering culture, • Backend microservices running on Kubernetes, • Heavy use of async processing, queues, APIs and data pipelines, • High autonomy, high expectations, very little hand holding You’ll probably be a good fit if • You’ve spent years building and operating backend systems in production, • Python is a core language for you, • You’re comfortable with async workloads, queues and distributed systems, • You care about correctness, performance and observability, • You like startups, but not chaos, • You want ownership rather than tickets Logistics • London-based - hybrid, • Security focused domain with real world impact, • Must be eligible for UK security clearance This won’t suit someone looking for something mundane. It will suit someone who wants to build serious systems in a security first startup, alongside smart people who care about getting it right. If that sounds like you, or someone you know, drop me an email at . Senior Software Engineer | London | £100,000 | Security | Python

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We’re looking for an engineer who loves building products in a fast-paced, iterative environment. In this role, you will come up with new ways to unlock value for our users using LLMs and enhance the quality and performance of our application. You’ll be talking directly with users to understand their problems and develop the features they need most. You will be part of the founding team and help unlock Granola for the next 100x users. In this role, you will: • Own the development of new user-facing features end-to-end. Things like: agentic workflows, real time collaboration and lots of 0 to 1 prototyping, • Optimise the application for speed, scale, and reliability, • Interact with users to understand their problems and design solutions, • Collaborate with a cross-functional team of engineers, product managers, designers, and other members of the team to create a cutting-edge product Your background looks something like: • Engineering experience at tech and product-driven companies, • Proficiency with TypeScript, Node.js, and React.js (Framer Motion, Tailwind and Radix is a strong plus), • Proficiency with relational databases like Postgres, • Experience with cloud infrastructure (we use AWS and Terraform) As a person, you… • Are first and foremost a builder, • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Value working with people who are kind, ambitious, and pragmatic, • Have an interest in AI/ML (direct experience not required), • Thrive in a fast-paced environment with evolving requirements and priorities About the opportunity We are living in the most exciting time for tool builders since ___ in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding team, interacting directly with users to understand their needs and rapidly developing features that deliver significant value. Your work will be pivotal in scaling Granola to its next 100x growth milestone. In this role, you will: • Own the development and application of LLM-based features end-to-end, • Build and maintain evaluation frameworks for prompt iteration and semantic retrieval, • Optimize embeddings and vector stores for performance and scalability, • Interact with users to understand their problems and design solutions, • Stay up-to-date with the latest trends in LLMs and applied AI practices, • Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product Your background looks something like: • Engineering experience at tech and product-driven companies, • Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.), • Proficiency with LLM infra platforms (prompt management, logging/tracing, evals), • Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory), • Building features end-to-end with TypeScript, React.js, and Node.js As a person, you… • Are first and foremost a builder., • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Want to be at the cutting edge of building world-class products on top of language models, • Are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter), • Value working with people who are kind, ambitious and pragmatic About the opportunity We are living in the most exciting time for tool builders since ___ in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We're looking for an Android Engineer who loves building products in a fast-paced, iterative environment. In this role, you'll transform everything we've learned on macOS and iOS into a distinctly Android experience. You'll architect our Android app from the ground up, talk directly with users to decide what ships next, and own the Play Store launch. As part of the core product team, you'll unlock the next 100x users for Granola on mobile. In this role, you will: • Build Granola for Android from the ground up, owning every layer from architecture to the final shipped experience, • Architect a modern Kotlin + Jetpack Compose codebase that feels native to Android from day one, • Bring Granola's audio magic, transcription, chat, and next-generation AI features to Android, • Explore on-device ML with Google's latest models alongside Granola's AI engineers, • Prototype our first Wear OS companion experience completely from scratch, • Use bleeding-edge AI coding tools (Codex, Claude Code, etc.) the moment they ship—no bureaucracy, • Build on the newest Android APIs, • Share your wildest demos in bi-weekly all-hands sessions and ship the ones that hit, • Move fast with rapid experimentation and prototyping, doubling down on what resonates with users, • Develop totally novel interfaces and interactions for audio capture, playback, and more that make our app feel effortless and delightful Your background looks something like: • You've shipped polished Android apps end-to-end, from greenfield architecture to launch and iteration, • You're fluent in Kotlin, at home in Jetpack Compose, and willing to dive into lower-level Android frameworks when needed, • You've built (or are excited to build) real-time experiences or media features, • You're curious about on-device ML and AI-assisted product features, and eager to partner with our AI engineers to bring them to life, • Rapid prototyping, demoing work, and iterating directly with designers and users feels natural to you As a person, you… • Are first and foremost a builder, • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Value working with people who are kind, ambitious and pragmatic, • Have an interest in AI/ML (direct experience not required), • Thrive in a fast-paced environment with evolving requirements and priorities About the opportunity We are living in the most exciting time for tool builders since ___ in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

A pre-seed, founder-led startup is seeking a Founding Engineer to build the "Agentic Financial Ops" layer for the global fintech market. While others build simple chatbots, this stealth-mode venture is embedding autonomous AI agents directly into major B2B platforms—automating invoicing, bill pay, and payroll for SMBs. This is an opportunity to join at the ground floor of a company targeting a $100B market shift. What you will build: • The Engine: A white-label, API-first, multi-tenant system designed to embed cleanly and securely into partner ecosystems., • The Intelligence: You aren’t just calling APIs; you are treating LLMs as infrastructure. You will build agentic workflows that handle complex financial operations autonomously., • The Foundation: You will replace the founder’s initial "vibe-coded" prototype with a robust, production-ready architecture. You decide the stack; you set the engineering culture. The Founders: • The Commercial Engine: A domain experts and "straight talkers" (formerly VPs at a successful embedded finance scale-up). They have already secured signed contracts across the UK, US, and Europe—and early revenue—before the API is even live. They bring the pipeline, the deep market knowledge, and the capital; you bring the product. The Role: • Zero to One: Take the product from MVP concept to Production., • Full Ownership: Build the core platform end-to-end (Backend, APIs, Frontend)., • Architecture: Design for security, permissions, and scale from day one., • Speed: Iterate fast with real customers. The goal is to launch the API in Q2. This is not a ticket-taking role at a stagnant SaaS. This is a Decide + Build + Own seat where you sit directly beside the founder. The Profile • Mindset: Scrappy, high-growth, and product-minded. You care deeply about why a feature exists, not just how it’s built., • Experience: A Senior Engineer (Backend-leaning or Full-stack) who has shipped early-stage products into production., • Tech: Hands-on experience with LLMs & agentic workflows. You are pragmatic about tech choices that optimize for speed and correctness. The Offer Salary £95k–£120k + Significant Founding Equity.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job – Machine Learning Engineer We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities • Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems., • Collaborate with research engineers to translate experimental models into reliable, maintainable software., • Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs)., • Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness., • Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting., • 3–5+ years building and maintaining ML systems in production environments, • BSc or MSc in Computer Science, Software Engineering, or a related field, • Strong software engineering skills: clean code, testing, debugging, version control, and system design, • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX), • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes), • Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar), • Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt, • Familiarity with recommender systems, transformers, or graph neural networks, • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

Sekkari: Building the Brains behind Autonomy Are you driven to push the limits of technology and unlock true autonomy? At Sekkari, we’re building the brains behind autonomy by designing advanced photonic integrated circuits that overcome processing bottlenecks of today’s systems. Our mission is to unlock true, real-time intelligence across aerial platforms, ground systems and robotics. Join our fast paced and supportive start-up, and help shape the future of computing for edge devices. Overview Sekkari is seeking an Embedded Software / Firmware Engineer to develop the foundational software layer for our hybrid electro-optical processor. This isn't a standard SOC; you will be writing the code that manages a unique memory hierarchy where data moves at the speed of light in L1 and shifts to electronic logic for L2/L3 and OS execution. You will be responsible for low-level hardware abstraction, kernel optimization, and ensuring our "autonomous brain" communicates flawlessly with the outside world. Responsibilities • Kernel & OS Integration: Port and optimize real-time operating systems (RTOS) or Linux kernels to run on our custom electronic architecture., • Driver Development: Write high-performance drivers for custom memory controllers, interfacing the electronic L2/L3 caches with the optical domain., • Hardware Abstraction: Develop the HAL (Hardware Abstraction Layer) that allows high-level autonomous software to leverage our chip’s unique electro-optical speed., • Performance Tuning: Work with the IC design team to profile and eliminate bottlenecks between the software execution and the hardware logic., • Bootloader & Security: Design secure boot sequences and firmware update mechanisms for edge deployment in robotics and aerial platforms. Qualifications • Traits: Curiosity is a key driving force for our work. We believe that curiosity brings discipline since it requires constant questioning. We also look for empathetic people. We want to cultivate a culture of empowerment where we look to collaborate and help each other grow., • Experience: 5+ years in embedded C/C++ and low-level firmware development, • Systems Knowledge: Deep understanding of OS internals (interrupt handling, memory management, scheduling), • Hardware Fluency: Ability to read schematics and datasheets; experience using logic analyzers and oscilloscopes to debug "first-bring-up" silicon, • Protocol Expertise: Experience with high-speed interfaces (PCIe, CXL, DDR) and standard protocols (I2C, SPI, UART), • Mindset: You thrive in the "undefined" space of a startup where you are often the first person to run code on brand-new hardware How to Apply Interested candidates are invited to submit their resume and a compelling cover letter to . In your cover letter, please highlight your relevant experience and explain why you are passionate about contributing to Sekkari's mission to build the brains behind autonomy.