Startup jobs in Reino Unido

We are currently recruiting for a full-time Customer Service Team Lead position to join our Customer Experience team based at our Notting Hill offices. bloobloom was created to change the way people buy their glasses by rebuilding the entire experience. In a market populated by dinosaurs, we’re putting design and technology back at the heart of the process of buying a pair of glasses, making the journey fun and exciting without costing a small fortune. At bloobloom, we also want the right choice to be as easy as wearing a great pair of glasses. That’s why we only partner with ethical factories, are climate-neutral certified, and donate a pair to someone in need for every pair we sell. We love our customers and want to make a personal connection with everyone who reaches out to us. Beyond the statement, our team has the freedom and means to get creative and go beyond meeting basic customer expectations in each and every conversation. Our goal is simple. 100% WOW. If you have a cool personality and want to work with other awesome individuals for a great company this is the job for you! Key Responsibilities: • Answer customers' enquiries on all channels, including live chat, email, telephone, and social media platforms, • Demonstrate exceptional product knowledge as well as accurately explain features and benefits of bloobloom lenses and frames, • Oversee the complete lifecycle of orders and provide consistent after-sales assistance, • Be the voice of the customer and advocate for customer needs/issues cross-departmentally, • Be creative and constantly consider new ways to help us provide the best possible customer service, • Convert customers into bloobloom advocates Who You Are: • You’re a passionate people person and like engaging with customers, • You’re driven and self-motivated - you want to excel at what you do!, • You thrive in a multitasking environment and can organise your time efficiently, • You believe in understanding a customer’s pain, building value and solving problems, • You are a team player who works and engages with others to achieve results, • You are a strategic thinker and like to offer new ideas/solutions to improve things Essential Skills & Experience: • Relevant experience in a communications or customer-facing role, • Educated to university degree level or equivalent, • Fluent English speaker with exceptional verbal, written and general communication skills, • Comfortable in a digital environment, • Previous experience in the Optical industry would be a bonus Key Benefits: • Opportunity to join a fast-growing and ambitious startup, • Work with a friendly team of highly motivated individuals, • Exceptional scope for progression and development, • An environment where you are listened to and can actually have an impact, • Great West London location - 4 min walk to Portobello Road, • Spacious and modern offices, with excellent facilities, • Regular company socials and events, • Perks for employees and up to 10 family members and friends, • Free spectacles and sunglasses for you, and discounts for family and friends, • 22-day Holiday + Bank Holidays, • Competitive salary depending on experience Further Information: • Type of contract: Full-time, office-based, • Location: London, United Kingdom, • Working Hours: 40 hours per week, Monday to Friday

Senior Full Stack Engineer – AI Startup – Up to 150k 🚀🧠. Senior Full Stack Engineer – AI Startup – Up to 150k 🚀🧠. Are adaptable and comfortable working across their stack.

We are looking for an AI engineer who wants to become the world’s expert in AI memory and context engineering. You should also be able to blend the long term thinking necessary in AI research with the urgency required for a startup to maintain the lead. We are building the infrastructure enabling

These are hands-on roles with a strong backend and architectural focus, ideal for engineers who enjoy working in scale up or startup environments and want to build high-quality, cloud-native software that powers real-world automation. The company has a strong engineering culture, embraces AI-assiste

We are recruiting an experienced Systems Integration Engineer to join a growing startup developing cutting-edge interactive display systems for public-facing environments. Work closely with hardware engineers and experimentalists to validate simulations, control algorithms, and system behaviour in r

Full Stack Product Engineer – SaaS Startup 🚨. Full Stack Product Engineer – SaaS Startup 🚨. Due to increasing customer demand, they’re expanding their engineering team and looking for product-minded engineers to join them on their journey.

Software Engineer | Security Platform | London.Looking to build something hugely impactful within security? This VC-backed startup is redefining how enterprises secure the cloud - already.Now they’re bringing in further.You’ll join a world-class team solving complex engineering challenges - from

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

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.

Role: Head of Engineering (hands on) Salary range: 100-150k Location: Central East London (x3 days per week onsite - Tues/Wed/Thurs) Tech stack includes: React, Angular, Typescript, NodeJS, NestJS, GCP, Python, PostgreSQL Current team size: x2 Engineers, x1 Data Scientist & x1 ML Engineer We're working with a SaaS startup company that helps brands actually see what’s working when they partner with creators. They mix playful audience feedback with campaign data to show how people really respond — giving teams the clarity they need to make smarter decisions next time. Reporting into the CEO directly, combination of hands on coding alongside managing the team, 50% hands on coding to start, with the view longer term to be flexible on becoming less if you desire. Essentials for this role: • Early stage startup experience e.g. founder engineer, ex founder or part of the journey early on., • Strong full stack Typescript experience - preferably backend lean., • At least a few years managing a team. Bonus: • Adtech / Martech experience, • Hands on experience with Data & ML No sponsorship available sorry!

Senior Software Engineer (Full-stack) - Permanent | On-Site | London Join a rapidly scaling US-backed startup at a pivotal moment. With significant funding secured and strong momentum, they are establishing their UK presence and offering exceptional equity opportunities for early team members. As a Senior Software Engineer, you'll work across our Python and TypeScript stack, contributing wherever the team needs you most. What You'll Be Doing: • Develop and maintain FastAPI (Python) and Next.js (TypeScript) applications., • Own features end-to-end - from user interface through to infrastructure and internal tooling., • Navigate and contribute to diverse codebases across the platform., • Shape product direction and architectural decisions., • Work alongside engineers and AI specialists in a cross-functional environment., • Grow your expertise while sharing knowledge with the team. What We're Looking For: • Growth mindset - You're intentional about self-improvement and continuous learning, • Deep expertise - You've mastered something technical; the specific domain matters less than the depth of skill, • Comfort with ambiguity - You thrive on open-ended challenges and unstructured problems, • Code fluency - You can dive into complex systems and make impactful contributions quickly, • Technical foundation - Strong skills in Python, TypeScript, or both (or genuine enthusiasm to learn), • Collaboration style - You work well with others but are equally effective independently Nice to Have: • Experience with modern frontend frameworks (React, etc), • Background in API development or distributed systems For more information, please apply! *Please note that this role will not be able to provide sponsorship support. Research shows that candidates from underrepresented groups often wait until they meet nearly all requirements before applying, while others apply when meeting just 50-60%. If this role excites you and you meet many—but not all—of these criteria, we still want to hear from you. We actively encourage applications from underrepresented talent and are committed to supporting accessibility needs throughout our hiring process.

🌍 Fullstack Software Engineer | AI Startup | NYC (Onsite/Hybrid) A seed-stage AI team is building smarter, developer-focused tools for OCR and document intelligence. They’re small, fast, and deeply technical — designing smooth inference workflows, clean parsing interfaces, and a platform that helps thousands of engineers build ML-powered products with less friction. About the role You’ll shape the full journey from raw model output to polished user experience. Expect hands-on work across the stack, helping engineers explore, evaluate, and deploy document-understanding systems in real products. 💡 What you’ll work on • Build interfaces that make complex extraction feel clear and intuitive, • Move between APIs, inference layers, and UI to improve reliability and performance, • Collaborate with founders, users, and the open-source community to refine ML-driven workflows 🚀 What they value • Strong product sense and attention to user experience, • Clear thinking around developer workflows, • Comfort working across backend and frontend in a fast, early-stage setting Compensation Salary up to $250,000 plus meaningful equity. If this sounds interesting, apply now!

Senior Full Stack Engineer – AI Startup – Up to 85k 🚀🧠. Full Stack Engineer – AI Startup – Up to 85k 🚀🧠. Bring ideas and improvements to their engineering processes.

Backend Engineer | London About Silas Insurtech Silas is transforming insurance operations through intelligent automation. Our platform helps insurance companies process documents faster and more accurately, enabling better customer service and operational efficiency. We're looking for an experienced backend engineer to help scale our production systems serving enterprise customers. The Role You'll design and build microservices that power intelligent document processing for insurance workflows, working with modern AI technologies and cloud infrastructure. This is a hands-on technical role with significant ownership and impact. Key Responsibilities · Design and implement RESTful microservices using Python/FastAPI · Integrate large language models and AI APIs into production systems · Manage database architecture, optimization, and data pipelines · Deploy and maintain cloud infrastructure with security best practices · Collaborate with technical leadership on architecture and product decisions Required Experience · 3+ years of backend development experience with Python · Strong understanding of REST APIs, async programming, and database design · Experience with cloud platforms (AWS preferred) and containerization · Proven ability to write production-quality code with proper testing and documentation · Strong problem-solving skills and ability to work independently Preferred Qualifications · Experience integrating LLM APIs (OpenAI, Anthropic, AWS Bedrock) · Familiarity with AI-assisted development tools · Knowledge of information security standards and compliance frameworks · Experience in early-stage startup environments Technology Stack Python, FastAPI, PostgreSQL, AWS, Docker, CI/CD pipelines, AI/ML APIs What We Offer · Competitive salary · Flexible working arrangement (London-based) · Direct collaboration with founding team and technical leadership · Opportunity to shape technical architecture and product direction · Modern development practices and tooling Location: London, UK (Hybrid) Work Authorization: Must have right to work in the UK

🚀 Engineering Leader | AI-Native B2B SaaS | London (Hybrid) Package: £150,000-£200,000 + meaningful equity Location: London (hybrid, in-person collaboration encouraged) bloom has partnered with a high-growth, AI-native B2B SaaS startup that’s rethinking how modern teams operate in one of the most fundamental areas of business. Already revenue-generating and scaling fast, the company is set to announce a Series A backed by top-tier investors, has raised £30m to date, and is led by an outstanding founding team from some of the world’s most successful companies 🚀 This is a rare opportunity to step in as the most senior engineering leader, owning the function end-to-end at a pivotal moment of scale. With an established engineering presence across Europe, the business is now building a new engineering team in London. London is already home to their go-to-market hub and where the majority of customers are based. Significant investment is going into this team, which is set to become one of their largest hubs, offering a rare chance to help build and scale engineering in the UK from the ground up. 🔥 Why this role is interesting • 🚀 Seed-stage, but well beyond “early” - real customers, real revenue, real traction, • 💰 Series A soon to be announced, backed by top-tier global investors, • 🧠 AI-native product solving complex, high-value problems for modern teams, • 👥 Small, high-calibre engineering team with big ambitions (Currently a team of 9 very strong Engineers with plans to scale the Engineering team to 20 in the next 12-18 months), • 🧱 Chance to shape architecture, culture, hiring, and execution from the ground up 🛠️ What you’ll be doing • Acting as the technical leader of the business, partnering closely with the CEO, Founders and Product, • Setting the technical vision and architecture as the platform scales, • Building and leading a high-performance engineering team, • Balancing speed, quality, and long-term scalability, • Staying close to customers and product - not just managing from a distance 👀 Who this is for • Engineering Leaders / Staff or Principal level Engineers/ Heads of Engineering / early CTO-type profiles, • Experience scaling early-stage or high-growth products, • Strong technical foundation with a product-first mindset, • Comfortable in ambiguity, energised by pace, and motivated by impact, • Someone excited by ownership, autonomy, and meaningful equity upside If you want to lead, build, and scale something important - this one’s special. 📧

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.

Senior Software Engineer – 3D Graphics/ Computer Vision London preferred | Full-time | Visa sponsorship available The mission Work at a stealthy 3D/graphics startup that turns real‑world objects into production‑ready, photoreal assets for film, games and real‑time experiences. Think: high‑end material capture and photogrammetry tools used behind the scenes by top studios, not off‑the‑shelf consumer software. The role You’ll be the go‑to engineer for 3D rendering and asset processing in a Windows desktop app that sits at the heart of the company’s pipeline. Expect deep work in C++ and Python across geometry, rendering and integration, not just gluing together third‑party tools. What you’ll do • Own 3D geometry and rendering modules end‑to‑end, from raw images to high‑resolution, real‑time previews., • Build high‑performance C++ systems for asset processing, OpenGL rendering and mesh‑camera visibility., • Create Python services that orchestrate pipelines and talk to internal ML models., • Work with ML and data teams to plug new models and formats into production workflows., • Take responsibility for Windows builds, packaging and release quality. What you bring • 5+ years of modern C++ engineering in graphics, rendering or other high‑performance areas., • Strong Python, used for real production tooling rather than scripts on the side., • Solid 3D fundamentals: OpenGL, shaders, geometry processing, UVs., • Experience shipping desktop tools or pipelines to real users., • Bonus: DCC integrations (e.g. Blender), PBR/material systems, game engines, photogrammetry/computer vision, Windows app development, 3D formats and ML integration. Why you might care • Rare mix of hardcore graphics, real‑world capture and AI‑driven workflows., • Direct line of sight from your code to assets used in high‑end productions., • Competitive salary, equity, flexible hybrid setup.

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.

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

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 an experienced UI Designer to join our fast-growing team at Medly. We’ve recently launched the US version of our AI-powered tutoring app, and this role is all about shaping the design of that product to help us reach true product-market fit stateside. You will take full ownership of the design experience for our US users - creating beautiful, intuitive interfaces, running experiments, and deeply understanding student needs. This is a high-impact opportunity to define the look, feel, and usability of a product that will transform how students learn. Role Responsibilities • Optimize the UI/UX of our US-facing product to drive adoption and engagement., • Design, implement, and analyze A/B tests to refine features and improve key metrics., • Lead focus groups and feedback sessions with students to ensure designs meet real needs., • Collaborate closely with engineers to implement, test, and iterate on new features., • Consider every detail of the user experience, from copy and micro-interactions to visuals and overall flow. Role Requirements • Grew up in the US with a strong knowledge of the pre-university education system., • 2–3 years of industry experience in UI/UX design., • Proficiency in Figma and a track record of delivering polished design systems., • Extreme eye for detail, with a user-first mindset and passion for creating intuitive products., • Excited by mission-driven tech and motivated by building products that create real impact., • Experience ideating, prototyping, and experimenting with AI tools (e.g., ChatGPT, Cursor)., • An online portfolio showcasing mobile app and/or web design work products. 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, • Office Presence: Able to commute 4 out of 5 days a week to our office in Kings Cross, with Wednesday being work from home, • 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

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

🚨 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!

🌱 Software Engineer | Energy & Climate Tech | London (Hybrid) A fast-growing energy technology company is building the intelligence layer for a cleaner, more resilient power grid - and they’re looking for engineers who want their code to have measurable, real-world impact. The team is developing large-scale optimisation systems that coordinate EV charging, home batteries, and heating to automatically shift demand toward cleaner, lower-cost energy. The result: a smarter grid, lower emissions, and better outcomes for millions of households. Backed by top-tier investors and scaling rapidly, this company is laying the technical foundation for a low-carbon energy network. Why this role • Build systems used by millions, not demos or dashboards, • Work with real-time data, optimisation, and ML-driven decision-making, • High ownership, high trust, and meaningful influence on product direction What they’re looking for • Engineers who enjoy solving complex, real-world problems, • A genuine interest in energy, climate, or sustainability, • Comfortable working in a fast-moving startup environment Python is the primary language, but engineers from any modern OOP background are welcome. 📍 London-based hybrid setup (2–3 days onsite) If you want to work on problems that matter - and see the impact of your work in the real world - this role is worth exploring.

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of foodies, connecting authentic and talented food makers to customers who are hungry for better food delivered. We’re looking for a QA / Test Engineer who cares deeply about quality, detail, and food and who wants to help shape a category, not just a product. Someone who enjoys breaking things (thoughtfully), understands how real people use products, and is excited by the idea of shaping the future of corporate eating. You’ll work closely with product, engineering, and operations to make sure what we ship works seamlessly — from menus and dietary filters to ordering, delivery, and billing. What you'll be doing • Own end-to-end manual testing across customer-facing and internal tools, • Lead regression testing ahead of releases, • Test real-world user journeys (ordering food, dietary needs, cut-off times, payments, admin workflows), • Create and maintain structured test plans, test cases, and release checklists, • Identify edge cases and challenge assumptions early, • Log clear, actionable bugs with reproduction steps and context, • Work closely with engineers to validate fixes, • Help shape and improve our QA process as the platform scales, • Identify where automation adds real value and help introduce it thoughtfully What we're looking for • Experience in a QA / Test Engineer or similar role, • Strong understanding of modern web applications and APIs, • A product-led mindset with a sharp eye for detail, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Testing tools and technologies Experience with some of the following, or a strong willingness to learn: Manual & exploratory testing • Regression and smoke testing, • User journey and edge-case testing Automation & JS-based tools • Playwright or Cypress for end-to-end testing, • Jest or Vitest for unit or integration tests, • Testing Library for component-level testing Supporting tools • API testing (Postman, Insomnia), • Bug tracking and workflow tools (Notion, Linear, GitHub Issues), • Cross-browser and device testing Experience with Selenium is welcome, but we primarily work with modern JavaScript-based testing tools. Bonus points if you • Have written or maintained automated tests in a JS / TypeScript codebase, • Have experience testing Vue or other modern JS frameworks, • Have worked on B2B platforms, marketplaces, or operationally complex products, • Care deeply about food, hospitality, and how shared meals bring people together Benefits to working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week!

I’m working with a BioAI Startup that’s building a next-generation drug design platform spanning small molecules and biologics. They’re well-funded, have an extremely credible founding team, already generating revenue, and entering a critical growth phase as they scale their platform and client impact. We're looking for senior leaders (lead to VP level). You’d be responsible for shaping the computational strategy for either antibody or small molecule design, and leading/working with a cross-functional team of AI researchers, domain specialists, and software engineers. This isn’t a delivery-only role - it’s about setting direction, making trade-offs, and turning advanced computation into real-world impact. They’re looking for someone with: • A strong computational background applied to drug discovery, • Meaningful experience in biologics and/or antibodies (small molecule experience is a plus), • A track record of leading multidisciplinary teams and putting models into production, • Comfort operating in an early-stage, high-ownership environment London-based (2-3 days per week in the office) Salary up to £130k DOE + equity If this sounds like you or someone you know who’s operating at this level, get in touch!

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Machine Learning Scientist [Analyst/Associate] About the job As a Machine Learning Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically optimizing prices under changing market conditions. You’ll be expected to translate complex data into actionable insights and ensure your solutions are not only technically sound but also adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for machine learning scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do • Build and deliver AI solutions: Design and implement advanced models and systems as both an individual contributor and as part of cross-functional teams., • Drive impact through execution: Apply a hypothesis-driven approach to design solutions, collaborate with technical teams, and deliver results that create measurable business value., • Work in an agile, fast-paced environment: Rapidly iterate and adapt to changing priorities, using creativity and pragmatism to maximize outcomes., • Leverage modern tools and methods: Develop innovative solutions using contemporary platforms, languages, and frameworks, and package IP into reusable components., • Communicate insights effectively: Translate complex technical concepts into clear, compelling narratives that drive understanding and action across technical and non-technical audiences., • Build trust through delivery: Establish credibility by delivering high-quality solutions, challenging assumptions constructively, and iterating quickly in response to feedback., • Develop broad technical capability: Work across the full data science lifecycle, continuously learning and applying new technologies. Sample project you will work on: • Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization approaches, to enhance pricing strategies, collaborating with stakeholders to integrate these solutions into business processes., • Price optimization & forecasting for goods: Develop machine learning models to forecast demand and optimize pricing strategies for goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued., • Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling workflows., • Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and reproducibility. Proof of work in cloud environments, especially MS Azure, is a plus., • Research mindset with business impact: Ability to translate complex problems into tractable modelling approaches. Strong problem-solving skills, intellectual curiosity, and a pragmatic approach to delivering solutions that drive measurable business value., • Collaboration and Communication: Demonstrated experience working in collaborative development environments using tools like Git and Azure DevOps. Comfortable contributing to shared codebases, participating in code reviews, and managing branches and CI/CD workflows. Proven ability to work cross-functionally with data scientists, engineers, and non-technical stakeholders to translate business needs into technical solutions and ensure successful delivery and adoption. About Us: We are a new, but growing team of AI specialists- data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Founding AI Engineer – London - £180K plus equity Halian is currently working with a stealth-stage AI startup is hiring its first technical team member. If you want to build core AI systems from the ground up and move faster than a typical tech organisation ever allows, this might be for you. What you’ll do ·Build the semantic intelligence layer of our product ·Design knowledge graphs, retrieval systems, and data pipelines ·Work across Python, LLMs, vector databases, and modern web technologies ·Make foundational technical decisions that shape the company’s trajectory Tech you’ll work with ·Python, LLMs, vector databases, knowledge graphs ·React/TypeScript, Supabase, AWS ·Agent frameworks (e.g., LangChain, LangGraph) What they are looking for ·Ownership mindset: You think like a founder and execute without waiting for instructions ·High energy: Positive attitude and genuine excitement about AI ·Adaptability: Comfortable with shifting priorities and an evolving stack ·Experience: 2–5 years building production AI systems in big tech or fast-moving startups What you’ll get ·Founding team status + significant equity ·Chance to build AI infrastructure from scratch ·Ambitious, high-performance culture ·Competitive compensation, brand-new MacBook, central London office, team dinners, and more (perks are secondary to mission) You’ll thrive if you have… ·Move fast and enjoy a high-urgency environment ·Have high agency and love solving complex problems ·Bring a strong track record of achievement—academically, professionally, or elsewhere Location London only (on-site). Relocation support is possible. If you meet the above criteria and would like to be considered for this role then please click apply now.

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

FOUNDING DATA ENGINEER REMOTE (OPTION TO RELLOCATE) £110K + EQUITY THE COMPANY This innovative AI start up is redefining safety and reliability in AI models. While competitors like GPT and DeepMind struggle with hallucinations and illegal content generation, this company adds safety control layers to ensure AI outputs are trustworthy and compliant. Working with high-profile, they’re building AI models that can even generate entire websites. As a Founding Data Engineer, you’ll be at the heart of their mission—building real-time data pipelines from scratch to power their cutting-edge AI research. THE ROLE As the Founding Data Engineer, you’ll design and implement real-time data pipelines that feed high-quality data to their AI research team. This isn’t about ETL maintenance or analytics. t’s about building scalable, high-throughput systems that handle millions of events per day. You’ll work autonomously, collaborate closely with the ML/AI team, and help shape the company’s data architecture as they expand. Specifically, you can expect to be involved in the following: • Technical tasks: Building real-time streaming pipelines using AWS (S3, PostgreSQL), with a focus on scalability and performance., • Other key responsibilities: Maintaining internal systems, choosing modern data tools, and ensuring seamless collaboration with the AI research team. SKILLS AND EXPERIENCE The successful Founding Data Engineer will have the following skills and experience: • Proven experience building data pipelines from scratch, with a focus on real-time streaming ingestion., • Strong SQL, data architecture, and storage design skills., • Experience with cloud environments (AWS preferred, GCP acceptable)., • Ability to choose and implement modern data tools independently., • Experience with high-throughput systems (millions of events/day is ideal)., • Strong collaboration skills with ML/AI teams—understanding their data needs is critical., • Autonomy, problem-solving, and excellent communication—this is a founding role. BENEFITS The successful Founding Data Engineer will receive the following benefits: • £110,000 salary + equity., • Relocation support to Paris (or future offices in London/ Netherlands)., • Quarterly in-person meetups in Paris (travel covered)., • The opportunity to shape the data infrastructure of a fast-growing AI startup, working with industry leaders. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Founding Engineer | London (Hybrid) | £200,000 + Equity At Dex, we're helping build the early, elite teams for London's most ambitious companies. We are partnered with exceptional, 'breakout' AI startups, some you'll know, some in stealth, all with world-class backing (YC, A16Z, etc.) and truly game-changing missions. The Opportunity This is not a typical "big team" leadership role. We are looking for proven technical leaders, CTOs, ex-founders, and top-tier Principal Engineers, who are still deeply technical and want to keep building! Our partners are scaling fast. They need leaders who can own and scale core product, infrastructure, and help lead strategy, whilst also writing the code to make it happen. You will be a force multiplier, defining the "how" for a small, world-class team and solving the hardest technical challenges. What You’ll Work On • Define and own the technical strategy for core, business-critical AI products., • Lead the architecture and build the next-generation of scalable, high-performance systems that can handle millions of users and complex AI workloads., • Solve the hardest problems in applied AI: from model fine-tuning and novel RAG techniques to high-throughput, low-latency data infrastructure. What You'll Have • A proven track record: You have been a CTO, Founder (especially from YC/EF), or a Principal/Staff Engineer at a successful, high-growth startup., • Expert, "hands-on" skills in TypeScript and building complex distributed systems., • Deep expertise in architecting and deploying complex AI/ML systems (LLMs, RAG, data platforms)., • You've likely done this before, and are raring to do it again, faster, better, and with a world-class team. If you’re interested, apply here to head to the website, where you can sign up and speak to us. After your call, you'll be sent the full details, as well as be matched with other teams that we think you’ll love.

Be part of a fast-growing, venture-backed US startup during a transformative phase. Fresh off a major funding round and expanding into the UK market, this is your chance to secure meaningful equity as a foundational team member. As a Lead Product Engineer, you'll be instrumental in building and evolving the platform using Python and TypeScript, driving impact across the entire stack. Your Impact: • Build robust backend services with FastAPI (Python) and dynamic frontends using Next.js (TypeScript), • Take complete ownership of features - from conception and user experience through to deployment and operations, • Move fluidly between different parts of the codebase, adapting to where value can be delivered fastest, • Influence technical strategy and help define the product roadmap, • Collaborate closely with engineers, data scientists, and product specialists in an agile, cross-functional setup, • Mentor teammates while expanding your own technical horizons What Makes You a Great Fit: • Core competencies - Proficiency in Python, TypeScript, or both (or a strong appetite to develop these skills), • Learning orientation - You're deliberate about expanding your capabilities and evolving as an engineer, • Technical depth - You've achieved true mastery in at least one area; they value expertise over specific technologies, • Adaptability - You excel when faced with ambiguous requirements and open-ended technical challenges, • Systems thinking - You can quickly understand complex architectures and contribute meaningfully from day one, • Team dynamics - You're effective both as a collaborative partner and an autonomous contributor Bonus Points: • Familiarity with contemporary frontend technologies (React ecosystem, etc) *Please note that this role will not be able to provide sponsorship support. For more information, please apply! Research shows that candidates from underrepresented groups often wait until they meet nearly all requirements before applying, while others apply when meeting just 50-60%. If this role excites you and you meet many—but not all—of these criteria, we still want to hear from you. We actively encourage applications from underrepresented talent and are committed to supporting accessibility needs throughout our hiring process.

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We're looking for our founding security engineer who is passionate about application security to help us protect our users and build trust as we scale. In this role, you will be responsible for identifying and mitigating security vulnerabilities within Granola's applications, building security tools, and working closely with our development teams to integrate security throughout our software development lifecycle. You'll help establish a robust security culture as we unlock Granola for the next 100x users. In this role, you will: • Conduct security assessments, code reviews, and penetration testing to identify vulnerabilities in our applications, • Design and implement security tools, frameworks, and methodologies to protect against security threats, • Work closely with development teams to ensure secure coding practices are integrated throughout the SDLC, • Perform threat modeling and risk assessments to proactively identify potential risks and develop mitigation strategies, • Track, analyse, and manage vulnerabilities in applications, providing guidance for remediation efforts, • Support incident response by investigating and analyzing security incidents related to applications, • Stay current on the latest security threats, vulnerabilities, and technologies to enhance our security posture Your background looks something like: • Extensive experience in application security, cybersecurity, or related fields, • Strong understanding of secure coding practices, threat modelilng, risk assessments, and incident response, • Proficiency in programming languages such as TypeScript, Python, or similar, • Experience with security tools, security protocols, encryption methods, and application security frameworks, • Experience with cloud security (we use AWS), • Strong communication skills with the ability to explain complex security issues to both technical and non-technical audiences As a person, you… • Are first and foremost a builder who thinks like an attacker, • 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 a passion for protecting users and building secure systems, • Thrive in a fast-paced environment where you can make a direct impact on product security 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.

🚨 New Role: Lead Product Engineer (Backend Leaning) – Up to £180,000 🚨 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: Lead Product Engineer, • Location: Hybrid – 3 days/week in Central London office, • Salary: £120k to £180k (Depending on experience) + Equity, • Tech Stack: GO, TypeScript, React, Next.js ✅ 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 🚨 New Role: Lead Product Engineer (Backend Leaning) – Up to £180,000 🚨

Head of Engineering – High-Growth Tech StartUp – up to £150k (base) “The best way to predict the future is to build it.” Few&Far has partnered with a mission-driven tech company that’s building the future of data empowerment. Backed by leading investors, they’re preparing for rapid international expansion in 2026. This is your chance to step into a key leadership role and help scale the engineering function during a phase of explosive growth. Here’s what’s cool about them: • The Scale: Serving millions through mobile, web, and desktop products, with a B2B arm trusted by global tech leaders., • The Tech: Modern stack including React, Next.js, TypeScript, Golang and more., • The Culture: Fast-paced, autonomous, and built by a team that values real impact over red tape. Here’s what you’ll be doing: • Take full ownership of the day-to-day leadership of the engineering team—people, process, and delivery., • Mentor and grow senior and lead engineers, fostering both technical excellence and leadership skills., • Drive operational excellence: sprint execution, cross-team alignment, ticket quality, and delivery predictability., • Stay hands-on when needed: review code, unblock technical challenges, and guide architectural decisions. Here’s what we’re looking for: • Proven background in a scaling startup—you thrive in resource-constrained, fast-moving environments., • Deep knowledge of native mobile or web technologies., • A track record of building and leading high-performing teams., • Pragmatic, delivery-focused, and able to balance speed, quality, and sustainability., • Excellent communicator, collaborative by nature, and able to manage up and down with ease. So if this sounds like you then please hit that apply button to find out more or email me directly at

Affinity Labs: Founding Engineer (Backend) Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to thousands of users at launch, and compound impact across multiple product, not just one. Role Description You’ll lead end-to-end backend development across our products: scoping services, designing data models and APIs, building, testing, shipping, and iterating in tight cycles. This is an early-stage, hands-on role with significant autonomy and responsibility to drive backend product development, collaborating closely with founders, creators, and product/design to turn lean specs into reliable, scalable services. Responsibilities • Implement features end-to-end on the backend (APIs → data models → integrations) and maintain quality while moving fast., • Run tight build, test, iterate, ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically; record key decisions as lightweight ADRs/notes in the tooling., • Participate in daily standups and weekly planning, contribute to technical strategy & execute from Linear tickets., • Contribute to architecture and product discussions; be heard in debate, align to unified decisions., • Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements • 3-6+ years building production backends/services, with shipped work and clear ownership., • Strong Python (FastAPI) and database skills (PostgreSQL/MongoDB); solid API design fundamentals., • Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and common queue/messaging patterns., • Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; lean on your experience to guide product decisions., • Evidence of shipping quickly in small teams (links to repos, case studies, or live services). Desired • Node.js alongside Python for services or integrations., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs)., • Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Platform Engineer – Trading London (3 days/week) | £150k + significant equity The mission Join an early-stage, VC-backed startup building a trading platform for GPU. Users hedge and speculate on spot prices like any financial market, backed by top-tier investors (including Anthropic backers) and founders from MIT, Cambridge, Oxford. The role This is a greenfield platform engineering role with complete ownership over the core architecture. You'll design and build the systems powering real-time trading from the ground up, working directly with exceptional founders on one of the most ambitious infrastructure challenges at the AI/compute-financial markets intersection. Clear path to VP/CTO leadership. What you’ll do • Architect the full platform stack (Python, TypeScript, Golang) handling trading engine, pricing models, hedging mechanisms and marketplace functionality., • Build scalable, low-latency systems for real-time order matching, risk management and market data distribution., • Design resilient infrastructure that can handle massive compute trading volumes with 24/7 reliability., • Integrate with compute providers, exchanges and financial protocols while maintaining strict security and compliance., • Collaborate directly with founders on technical roadmap, hiring strategy and product evolution, with full flexibility to introduce new technologies and paradigms. What you bring • Deep platform/distributed systems experience in high-stakes environments (trading, fintech, infra or high-throughput services)., • Strong proficiency across Python/TypeScript/Golang (or equivalent polyglot stacks) with proven ownership of production-grade systems., • Expertise in real-time systems, performance optimisation, fault tolerance and scalable architectures under uncertainty., • Experience with financial protocols, market data feeds, order matching or compute infrastructure is a strong plus., • Thrives in greenfield environments: making architectural trade-offs, shipping fast, iterating based on live feedback. Why you might care • Early-stage opportunity to define a category-leading platform at the nexus of AI compute economics and financial markets., • £150k base + substantial equity upside with world-class founders and elite VC backing., • London-based, hands-on technical leadership role tackling novel problems with brilliant minds and rapid impact.

Company Description Amplytic is building an AI asset manager for renewable energy portfolios across wind, solar, and storage. It creates a structured understanding of each asset by linking operational data, commercial contracts, and regulatory rules through an ontology-led intelligence layer. This gives owners and managers clear, reliable answers on obligations, performance, risks, and required actions. Amplytic also automates the routine work that slows asset management down: tracking contract duties, identifying compliance items, checking revenue logic, validating settlements, and interpreting regulatory rules. These become consistent, traceable outputs rather than manual spreadsheets and scattered documents. By reducing operational drag and improving the quality of decisions, Amplytic helps teams run larger portfolios with less overhead and achieve stronger investment yield across their assets. Role Description We are seeking a passionate and innovative Founding Engineer for a full-time on-site role in London. You will play a pivotal role in building and scaling Amplytic's AI infrastructure and technology solutions for renewable energy asset management. Day-to-day responsibilities include designing and developing scalable software, implementing AI-driven analytics, optimising system performance, and collaborating closely with diverse teams to drive product innovation. You will also contribute to strategic decision-making and have a significant impact on shaping our technical vision and roadmap. Qualifications • Proven experience in software engineering, including proficiency in programming languages like Python., • Strong knowledge of AI/ML technologies, data structures, and algorithms, • Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud), • Familiarity with renewable energy industry, contract management, or financial analysis is a strong asset, • Strong problem-solving skills and a growth mindset, • Experience in a fast-paced startup environment is a plus What we value and how we work We operate with high ownership and zero excuses. We care about solving real customer problems. We move fast, make bold calls, and favour progress over polish. Clear thinking and relentless execution matter most. Everyone here is a builder. You get space to act, challenge ideas, call out inefficiency, and push for better ways of doing things. We keep teams small, and trust people closest to the problem to make decisions. In this role, you will get • Real ownership: You won’t “support engineering”; you are engineering. You’ll build the core systems that define how an AI asset manager works from the ground up., • ⁠A decisive environment: No layers, no vague asks. You get context, autonomy, and the mandate to move., • ⁠High trust, low bureaucracy: Small teams, direct communication, and freedom to build without needless gates., • ⁠A mission that matters: You’ll work on production systems managing millions in clean-energy assets, directly contributing to faster adoption of renewable power., • ⁠Deep technical growth: You’ll work across complex energy-market logic, real-time data, and full-stack engineering, with plenty of steep learning curves along the way., • ⁠Meaningful upside: Competitive salary plus meaningful equity, with direct influence on the company’s trajectory.

Join Us in Building the AI Operating System for Private Capital At Capsa AI, we’re on a mission to transform how private capital firms source, analyse, and win deals. Our AI operating system accelerates due diligence, unlocks deeper insights, and helps funds focus on what matters — creating value. We’re lean, ambitious, and obsessed with building a category-defining company. In just 12 months, we’ve grown ARR by 15x, achieved product–market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Backed by top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs, we’re just getting started. At a Glance • Role: AI Consultant, • Location: London, UK (Hybrid, in-person 4 days per week), NYC relocation potential, • Experience Required: 2-5 years in private equity, management consulting, or investment banking, • Compensation: Highly Competitive Salary + ESOP, • Visa: Unfortunately, we don’t sponsor visas yet. You must have the right to work in the UK What You Will Own As our AI Consultant, you'll be the quarterback between our product and sophisticated PE clients. You'll drive adoption, prove ROI, and turn PoCs into long-term partnerships by helping clients embed Capsa into their investment workflows. This is a high-impact, client-facing role where your work directly influences both revenue and product direction. • Drive client implementation: Guide clients through technical setup, integrations (CRM, data platforms like FactSet), and workflow optimisation, • Prove measurable impact: Design and execute proof-of-concept engagements that demonstrate clear ROI during trials, • Maximise product adoption: Identify high-value use cases across deal sourcing, due diligence, and portfolio monitoring — then train client teams to execute, • Build the consulting playbook: Create repeatable implementation frameworks, training materials, and success metrics from scratch, • Own PoC-to-paid conversion: Work closely with sales to convert engaged PoCs into paying enterprise clients, • Deliver executive impact: Present usage analytics, insights, and strategic recommendations to client C-suite and AI committees, • Shape product direction: Work closely with the product team to influence the roadmap of our AI platform based on client needs and market feedback, • Support commercial discussions: Assist in scoping statements of work, expansion opportunities, and contract negotiations Why Join Capsa AI? • Exceptional traction: 15x ARR growth in 12 months, PMF with top PE funds managing over $100bn in AUM, • Category leadership: Defining the AI operating system for private capital markets, • High-impact role: Direct line to the CEO and CRO, shaping how sophisticated clients leverage AI in investment decisions, • Ground floor opportunity: Build the consulting function from scratch and grow with the company Who You Are • Background: 2-5 years of experience in private equity, management consulting, or investment banking, • Communication: Strong written, verbal, and presentation skills — you communicate effectively with diverse internal and external audiences, • Project management: Capable of managing multiple projects and tight deadlines with autonomy, • Education: Bachelor's or Master's degree in Business, Economics, or a comparable subject from a university or business school with an excellent academic track record, • AI curious: Experience using generalist AI tools like ChatGPT, Claude, Gemini, or other major foundation model providers is a plus, • Client-obsessed: Confident presenting to C-suite, facilitating workshops, and managing multi-stakeholder relationships, • A builder: Energised by creating processes, playbooks, and frameworks in fast-paced startup environments Additional Perks • Private healthcare through Bupa, • One month per year remote working, • 25 days of annual leave + public holidays, • Pension contribution - Capsa AI contributes 3% and employee contributes 5% on qualifying earnings, • Budget for setting up your home office, • You can participate in a generous recruitment referral scheme if you help us to hire

Who we are Zedsen is a cutting-edge health technology startup based in London, focused on transforming breast cancer detection through our innovative, non-invasive sensor technology. Our proprietary sensors and advanced data algorithms enable us to detect subtle changes in breast tissue, offering a safer, accessible, and cost-effective alternative to traditional screening methods. Our mission is to provide early and accurate breast cancer screening solutions, accessible globally, to improve patient outcomes, reduce healthcare costs, and enhance the overall quality of care. By developing scalable technology that can be widely implemented, we aim to make a measurable impact on the way breast cancer is detected and managed worldwide. What You’ll Do Building breakthrough sensing technologies takes tight coordination between hardware, signal processing, and algorithms—and that’s where you come in. You’ll be at the heart of our electronics development, leading verification and validation of current designs and prototypes, turning real-world performance data into insight, and pushing the next generation of improvements across every layer of the system (from analogue sensor arrays and PCBs to filtering and ASICs). As a senior member of the team, you’ll shape how we design, test, and evolve our hardware systems. You’ll model great engineering practices, ensure compliance with medical standards (IEC 60601, ISO 14971, ISO 13485), and help foster a culture of open collaboration and continuous learning. You’ll mentor engineers, share knowledge generously, and help turn bold ideas into robust, life-changing, and inclusive solutions. Core Responsibilities • Lead design and development of analogue and mixed-signal electronic systems for medical sensing applications, • Own schematic design, component selection, and PCB layout (Altium or equivalent), • Develop and maintain verification and validation plans for hardware subsystems, • Analyse and improve sensor performance, noise characteristics, and signal quality, • Collaborate closely with firmware, mechanical, and algorithm teams to ensure seamless system performance, • Drive design reviews, risk assessments, and documentation in line with ISO 13485 and ISO 14971, • Engage with test houses and certification partners to ensure compliance with IEC 60601 and other relevant standards Essential Requirements • 10–15 years’ experience in electronic hardware design, with at least 5 years in medical or other regulated systems., • Deep understanding of analogue and mixed-signal design, especially for sensing, low-noise front ends, and signal integrity., • Strong command of EMC design and mitigation techniques., • Experience taking hardware through IEC 60601 compliance and verification., • Skilled in schematic capture and PCB layout review (Altium or equivalent)., • Familiarity with risk management (ISO 14971) and design control processes., • Working knowledge of embedded systems, allowing effective collaboration with firmware. Desirable Criteria • Experience in capacitive or impedance sensing and ow-power wearable electronics, • Familiarity with FPGA development and high-speed digital signalling, • Comfort working in early-stage R&D and rapid prototyping environments, • Strong communication and mentoring skills, • Enthusiasm to produce high quality work – we are producing medical, • devices! We know that no candidate meets every single requirement. If you’re excited about the role and have strong experience in most of these areas, we’d love to hear from you! Benefits · Private Medical and Dental Cover · Life and Health Insurance · Flexible working environment – 3 days / week required in the office: flexibility to work remotely at company discretion. · Free lunch when working onsite · 25 days annual leave · 5% Employer Pension Contribution · Share Options · Bonus scheme (subject to meeting company milestones and company policy) · Opportunities for growth: learn from a supportive team, attend workshops and short courses which align with delivering company goals (subject to managerial approval). How We Work We’re a close-knit team of scientists and engineers who enjoy taking on complex problems and seeing them through. The hardware group is small and focused where everyone has an equal opportunity to shape both the technology and the culture we work in. We hold ourselves accountable, support one another, and value clear, honest communication over unnecessary process. Growth here comes from doing meaningful work, learning together, and sharing knowledge openly. If you want to build technology that matters alongside people who are passionate about what they do, you’ll fit right in.

AWS CLOUD ENGINEER REMOTE £65,000 - £80,000 THE COMPANY This cutting-edge AI consultancy is a rising star among AWS partners, specializing in helping organizations build and scale innovative AI solutions. Focused on the gaming industry, they enable clients to do things like translating games in hours or designing AI-driven experiences tailored to specific demographics. As an AWS Cloud Engineer, you’ll work on high-impact, projects that push the boundaries of what’s possible with AI and cloud technology. THE ROLE As an AWS Cloud Engineer, you’ll design and deploy scalable AWS infrastructure to power AI agentic applications. Your work will directly enable groundbreaking projects, from AI-driven game localization to creating immersive experiences for global audiences. Specifically, you can expect to be involved in the following: • Technical tasks: Building and optimizing cloud solutions using AWS CDK, Python, TypeScript, IaC (Terraform/CloudFormation), Docker, and Bedrock., • Other key responsibilities: Collaborating with a small, agile team to deliver AI solutions that solve real-world challenges for gaming and beyond. SKILLS AND EXPERIENCE The successful AWS Cloud Engineer will have the following skills and experience: • 2/3 years of experience in cloud engineering, software development, or AI infrastructure., • Proficiency in AWS (with a focus on CDK, IaC, and AI services like Bedrock)., • Experience with Python or TypeScript—coding skills are prioritized over pure infrastructure expertise., • AWS Certification (or willingness to obtain one within the first 3 months):, • AWS Professional Certification (DevOps, Architect Pro, or Generative AI), • OR AWS Specialty (Advanced Networking, Security, or Machine Learning)., • Adaptability, proactivity, strong communication skills, and a passion for learning new technologies., • Startup or consulting experience is a plus. BENEFITS The successful AWS Cloud Engineer will receive the following benefits: • £65,000–£80,000 salary, • Fully remote work, with flexibility to shape your schedule., • The opportunity to work on cutting-edge AI projects in gaming and beyond, with a fast-growing AWS partner., • A collaborative, innovative environment where your contributions directly impact client success. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Founding Engineer – Full-Stack / AI / Early-Stage Startup Location: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE) A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production. They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment. The Role You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What You’ll Be Doing Product Architecture and Delivery • Translate project briefs and product designs into technical architecture and implementation plans., • Own features end-to-end across backend and frontend through to production release., • Contribute to system design decisions as the platform scales. AI and Intelligent Workflows • Build AI-driven features including agent-based workflows and embedding-driven matching systems., • Experiment with LLM-powered tools and apply them to real production use cases., • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems., • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution., • Explore new approaches in automation, search, and data enrichment. Deployment and Engineering Excellence • Improve and maintain CI/CD pipelines to enable fast, reliable releases., • Contribute to cloud deployments and operational stability., • Promote engineering best practices across testing, monitoring, and code quality. Experimentation and Innovation • Run technical experiments in data engineering, infrastructure, and AI., • Prototype and validate new technologies before moving them into production., • Continuously improve developer experience and delivery velocity. Ownership and Collaboration • Operate across the full technical stack in a high-autonomy environment., • Collaborate closely with product and business stakeholders., • Take responsibility for delivery quality and system performance. Core Experience • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact., • Strong commercial experience with TypeScript and Node.js., • Experience delivering production features across backend and frontend systems. Mindset and Attributes • Comfortable operating in ambiguous, fast-moving environments., • Highly organised, proactive, and delivery focused., • Strong problem-solving skills and appetite for learning., • Excited about applying AI and LLM-powered tools to real-world workflows., • Thrives with autonomy and responsibility. Bonus Experience • Exposure to AWS serverless or event-driven architectures., • Mobile development experience (e.g., Flutter). Benefits • Flexible hybrid working model, • Generous Equity, • High ownership and autonomy, • Opportunity to influence architecture and product direction, • Fast learning environment with exposure to AI and modern cloud tooling, • Competitive compensation and early-stage growth opportunity Interview Process • Short introductory call, • In-person technical challenge and interview, • Culture and values interview

About Us Machnet Medical Robotics (MMR), founded in 2020, is on a mission to revolutionize medical robotics. Our guiding principle is simple: innovation must improve patient outcomes, support clinicians without disrupting workflows, and empower healthcare staff rather than adding burden. MMR is a well-funded company with long-term investors and a strong financial foundation. Our hardware and software teams have developed a fully functional medical robotic platform that has successfully completed animal trials. As we move into the next phase, we are refining the mechanical design for production with a focus on safety, reliability, manufacturability, and scalability, preparing our technology for deployment in hospitals worldwide. About the Role We are seeking a Staff Mechanical Engineer with strong experience in medical or robotic systems to join our growing engineering team in central London. In this role, you will hold a senior technical position, contributing directly to the design, development, and optimisation of critical mechanical systems while supporting the transition from prototype to production. You will work hands-on across the full product lifecycle and collaborate closely with cross-functional teams to ensure robust, manufacturable, and safe mechanical solutions. Key Responsibilities • Design, develop, and refine mechanical components and subsystems for medical robotic platforms, • Own mechanical designs from early concept through prototyping, testing, and production readiness, • Apply rapid prototyping techniques such as 3D printing, laser cutting, and CNC milling to iterate quickly and validate designs, • Make informed decisions on materials, tolerances, and manufacturing processes with a focus on performance, reliability, and cost, • Collaborate closely with electrical, software, systems, and regulatory teams to ensure seamless integration, • Contribute to mechanical architecture decisions and support system-level trade-off analyses, • Establish and follow engineering best practices, documentation standards, and design controls, • Support design for manufacture and assembly activities and supplier engagement, • Mentor and provide technical guidance to junior and mid-level engineers, • Drive continuous improvement of existing designs based on testing, feedback, and field learnings Who We’re Looking For • Bachelor’s or Master’s degree in Mechanical Engineering or a related field, • 6+ years of experience designing and developing complex electromechanical systems, ideally in medical devices or robotics, • Strong hands-on experience with rapid prototyping methods such as 3D printing, laser cutting, and CNC machining, • Solid understanding of materials, tolerances, and manufacturing processes, including injection moulding and scalable production techniques, • Proficiency in parametric CAD tools such as SolidWorks, • Comfortable working in a fast-paced, collaborative startup environment, • Proven ability to take ownership of designs and deliver them from concept to production, • Eligibility to work on-site at our central London office Experience We Value • Experience developing mechanical systems for medical robotics or regulated medical devices, • Exposure to design controls, risk management, and verification and validation activities, • Startup experience or comfort working across disciplines and shifting priorities, • Familiarity with suppliers, contract manufacturers, and production ramp-up, • Experience contributing to patents or protecting mechanical intellectual property Why Join Us? At MMR, you will work at the intersection of robotics, AI, and healthcare, building technology that directly impacts patient care and clinical outcomes. You will join a mission-driven, collaborative team where your technical expertise will meaningfully shape the future of medical robotics. We believe technology must serve people responsibly. Human-centred innovation, integrity, and long-term responsibility guide how we design products and how we support our team members’ growth and well-being. What We Offer • An international, interdisciplinary team based in Central London and Zwolle, Netherlands, • A key technical role in a rapidly growing medical device startup with global ambitions, • A central London office with a well-equipped prototyping space, • Ongoing professional development through training, workshops, and conferences, • An inclusive, supportive workplace culture, • A competitive salary package aligned with industry standards

🚀 Founding Lead Engineer (CTO-Track) | Early-Stage AI Startup | UK - up to £150,000 We’re supporting a well-funded early-stage AI startup that’s entering its next phase of growth and is now looking for a Founding Lead Engineer to take ownership of the technical function. This role is ideal for a hands-on senior engineer who wants real influence, enjoys building product, and is ready to step into technical leadership — with a clear path toward a CTO-level role. What you’ll be doing • Owning technical direction across a small but strong engineering team, • Remaining hands-on in code (this is a player-coach role, not a pure management position), • Partnering closely with the founder on product decisions and technical strategy, • Helping scale the team post-fundraise while keeping things lean and high-impact, • Representing technical leadership as the company prepares for its next funding round The profile we’re looking for • Senior / Lead Engineer experience in startup or scale-up environments, • Strong backend background (Elixir experience is ideal, but leadership + product mindset matter more than language purity), • Comfortable overseeing how frontend and backend work together, • Has seen a team or product scale, even if they weren’t the original CTO, • Product-focused — challenges what to build, not just how to build it, • Embraces modern tooling and AI-assisted development, • Low-ego, pragmatic, and enjoys ownership What’s on offer • Founding-level impact with real ownership and influence, • Competitive salary today with a clear uplift post-fundraise (up to ~£150k), • Meaningful equity, • Fast, human interview process (no take-home tests or heavy tech exercises), • One day per week in London (UK-based candidates preferred, flexible location otherwise) If you’re someone who wants genuine ownership over a product, a team, and a technical direction — and enjoys operating at an early-stage level — this is a rare opportunity. 📩 If this sounds like you (or someone you know), feel free to reach out directly.

About Us Machnet Medical Robotics (MMR), founded in 2020, is on a mission to revolutionize medical robotics. Our guiding principle is simple: innovation must improve patient outcomes, support clinicians without disrupting workflows, and empower healthcare staff rather than adding burden. MMR is a well-funded company with long-term investors and a strong financial foundation. Our talented hardware and software team has successfully developed a fully functional prototype of our medical robotic platform, which has already undergone successful animal trials. With the prototype validated, we are now entering the next phase: perfecting the mechanical design for production, ensuring safety, reliability, manufacturability, and scalability as we prepare to bring our technology to hospitals worldwide. About the Role We are currently seeking a Principal Mechanical Engineer with expertise in medical robotics to join our team in central London. As a vital member of our engineering team, your primary focus will be on developing and optimising mechanical systems for various projects spanning different sectors. Your engineering development experience and ability to navigate diverse challenges will be instrumental in driving our projects from conception to realisation. Key Responsibilities: • Lead and oversee the design and development of mechanical components and systems for various engineering projects., • Utilise rapid prototyping techniques (e.g., 3D printing, laser cutting, CNC milling) to fabricate prototypes and iterate designs for improved functionality., • Take ownership of design decisions, material selection, and manufacturing processes to ensure optimal performance and cost-effectiveness., • Collaborate closely with cross-functional teams of engineers and stakeholders to drive innovation and seamless integration of mechanical systems., • Provide strategic direction and technical leadership to the engineering team., • Develop and implement engineering best practices and standards to ensure high-quality outcomes., • Drive continuous improvement initiatives to enhance product performance and reliability., • Mentor and guide junior engineers, fostering their professional growth and development., • Cultivate strong relationships with suppliers, vendors, and manufacturers to support project requirements., • Represent the company at industry conferences and events, showcasing our technological advancements and innovations. Who we are looking for: • Master’s or PhD degree in Mechanical Engineering or a related field., • Minimum of 8 years of experience designing and developing complex electromechanical systems, particularly in medical devices., • Proficiency in utilising rapid prototyping methods such as 3D printing, laser cutting, and CNC milling., • Deep understanding of materials and manufacturing processes, including injection moulding and scalable manufacturing techniques., • Proficiency in parametric CAD design software (e.g., SolidWorks)., • Strong team player with a proactive attitude towards problem-solving in a dynamic work environment., • Proven track record of leading successful engineering projects from concept to production., • Availability and eligibility to work at our central London office. Experiences we value: • Extensive experience with diverse mechanical systems and components, especially in the context of medical robotics., • Familiarity with project management methodologies and tools., • Prior experience in the medical device industry is highly desirable., • Start-up experience or the ability to thrive in a multidisciplinary team environment., • Experience in securing patents and intellectual property related to mechanical designs. Why Join Us? At MMR, you’ll work at the intersection of robotics, AI, and healthcare. You will build data systems that directly enable life-changing technology in hospitals. You’ll be part of a collaborative, impact-driven team, where your technical expertise will shape the future of medical robotics. Equally important, we believe that technology must serve people responsibly. At MMR, we value human-centred innovation, moral integrity, and long-term responsibility. This applies not only to how we design our products, but also to how we treat our employees: with respect, care, and a commitment to their well-being and growth. What We Offer • Join an international and interdisciplinary team based in the Netherlands (Zwolle) and Central London, fostering a collaborative and innovative work culture., • Contribute to a rapidly growing medical device startup with ambitious global impact goals, making a significant difference in healthcare., • A central London office with a well-equipped prototyping space. Access continuous learning and professional development through training programs, workshops, and conferences., • Thrive in an inclusive and diverse workplace that values and supports every team member., • An attractive salary package, competitive with industry standards.

Applied Research Scientist – 3D, PBR & Generative Models London preferred | Full-time | Visa sponsorship available The mission Help turn messy, real‑world photos into production‑ready, PBR‑accurate 3D assets using generative models. This is a small, graphics‑focused startup working with high‑end film, games and immersive studios, building tools that quietly sit behind some very pretty pixels. The role You’ll be the researcher driving the models that predict material properties and generate geometry from multi‑view image data. Your work won’t live in a PDF – it will ship into real artist workflows, fast, and help automate the jump from photos to textured, physically‑based assets. What you’ll do • Propose, implement and evaluate state‑of‑the‑art models for PBR material prediction and 3D asset creation., • Build on top of modern vision transformers and diffusion‑style architectures to extract maps like roughness, normals, specular and diffuse from images., • Design models that respect multi‑view consistency and can work from dense shots through to sparse or text‑conditioned inputs., • Run experiments, define baselines and track progress against product‑level quality bars, not just academic metrics., • Work closely with engineering teams to get your models into production tools and influence how a unique 3D/PBR dataset is collected and used. What you bring • PhD (or equivalent experience) in ML, computer vision, graphics or a closely related field., • Strong PyTorch skills and experience training models on large‑scale image or 3D data., • Track record in generative AI, material estimation, 3D‑aware learning or similar high‑impact research areas., • Comfortable taking ideas from sketch → prototype → evaluated model, quickly., • Bonus: photogrammetry, material/UV workflows, PBR and shading models, self‑supervised methods (e.g. CLIP‑style), 3D reconstruction, inverse rendering or texture synthesis. Why you might care • Work at the crossroads of 3D graphics, physically‑based rendering and generative AI, using rare, real‑world PBR capture data rather than synthetic assets., • Collaborate directly with artists, engineers and studios who will rely on your models to remove manual texturing from their workflows., • Competitive salary, equity, flexible hybrid setup in London.

We’re growing fast and hiring this role across multiple seniority levels - from Mid-level through to Senior, Staff, and Principal. About the Company ___ helps businesses in Africa pay their international suppliers quickly and efficiently. Capi started with Y-Combinator Summer 2023 program, coming out of it successfully and since then we’ve raised over $18m across Seed and Series A (Q4 2024) and are on a fast growth trajectory globally with almost 80ppl; we’ve recently hit a milestone as we crossed $1BN in annualized volume and $10m in annualized revenue for the first time! Working with SMEs in Africa is opening the door for us to have an economical impact on African markets by allowing businesses to pay suppliers and partners through our platform - we are currently live across Senegal, Ivory Coast, Cameroon, Kenya, and Mali, with many more coming soon. Our team is made up of approx 75 people across 7 countries; we are a group of a highly-ambitious, get-it-done people, who like to work hard on something that has a tangible impact in the world. And we’re looking for more people to join our team! Role Overview You’ll join a small, high-performing team of engineers and product leaders shaping how we scale our platform and our impact. From your first day, you will have the opportunity to work closely with the founding team based across London & Paris to shape the product vision and all parts of our technical architecture. As we scale our products and deepen our presence across emerging markets, this is a role that builds technology to solve customer problems. To do that, you must have empathy and curiosity to get to the root cause of the issue and the creativity to build a solution that balances impact, effort, and delight. Key Responsibilities Delivery • Contribute to the product process from end-to-end, from ideation to building the UI, backend logic, deployment, feedback and measurement, • Communicate internally and externally about new features, be it collecting feedback pre-implementation or explaining them on launch, • Define and manage delivery milestones, ensuring alignment between engineering and product priorities Technical • Build intuitive and performant web interfaces for business owners in Africa, • Implement IT security and data protection best practices in a regulated environment, • Proactively drive architectural decisions e.g., improving scalability, observability, and modularity of the codebase, • Champion code quality through robust testing, documentation, and reviews Operational • Observe opportunities for improvements internally to help automate our non-tech processes and add to our tech best practices to improve our output and efficiency. Including handling production incidents with confidence Leadership • Mentor junior engineers and contribute to their professional growth through pairing, reviews, and feedback, • Represent engineering in cross-functional discussions (including Finance, Operations, Senior Leadership) to help translate business goals into technical plans, • Set and uphold team standards for communication, collaboration, and technical excellence Culture • Communicate internally and externally about new features, be it collecting feedback pre-implementation or explaining them on launch Requirements Our tech stack: Typescript, React, NextJS, NodeJS, Express, PostgreSQL • A product mindset is core to how we build - everyone at Capi is encouraged to think about the customer, the business, and the long-term impact of what we ship., • A strong understanding of web development, frontend and backend best practices. While mainly working with JavaScript technologies. Experience 5+ years in fullstack role., • Experience in a VC-backed or high-growth engineering team and building products used by customers., • You are comfortable working in an early-stage startup environment with high pace, rapid growth, involvement in the entire product development process, and a high degree of ambiguity, • Excellent written and verbal communication skills for expressing ideas, designs, and potential solutions with both technical and non-technical team members and customers, • You care about our mission and solving the problems faced by African businesses, • Based in London or Paris Bonus points if you: • Speak and write in French & English, • Experience in Fintech, payments, wallets or building ledgers, • Expertise in security and data protection best practices needed in a FCA regulated business Some projects the team has been working on: • Automated payouts and AI invoice approval, • Onboarding + payment automation with Swift network and banking partners across the world, • WhatsApp bot that creates quotes for customers based on their responses, • Self-serve onboarding flow that collects company information and KYC documents from customers, • Asynchronous workers that OCR invoices, • Internal tooling to manage and process millions of dollars of transactions What to expect when interviewing with Capi? Our interview process includes: • Screen interview with our Tech Recruiter ___ (30 mins) - Learn about the Capi story and mission. Whilst ensuring we are aligned as an exciting opportunity for what you're looking for, • Technical challenge with one of our Principal Engineers (1 hr) - Demonstrate your abilities in a whiteboard-style interview with one of our senior team members. We like to keep this as natural as possible, as if you were joining us tomorrow. This interview is to assess your skills, interests, and potential to see the impact you could make. While also ensuring Capi can support your growth, • Deep dive (1 hr) - Meet the hiring manager and explore your relevant experience and our upcoming projects, • Founder chat (30 mins) - Meet the founders to learn about Capi's growth plans, mission, and revenue targets. This is also your opportunity to ask any final questions to make sure our journey is right for you., • References, • Offer! Additional Information • This is a full-time position with competitive salary, share options, and benefits, • Ideal Start date: March 2026 (we are aware that a notice period may need to be fulfilled and can adjust accordingly) Capi is an equal opportunity employer and welcomes candidates from diverse backgrounds. We’re all about building a diverse, inclusive team at Capi. Whoever you are, we’d love to hear from you. If there’s anything you need to make the interview process easier—whether it’s accessibility support, a different format, or just a heads-up about what to expect—just let us know, we’re happy to help.