Startup jobs in United Kingdom

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I’m Georgii, co-founder and CEO of Gracia.We’re building our second startup together with the same small but very strong team (the first one was acquired in 2021).After two years of building the core tech, we’ve reached .At Gracia we’re building the infrastructure for producing photorealist

London (Hybrid - 2 days in the office).Lead customer success for a cutting-edge payment processor in the insurance industry.Our client is a fast-growing startup building the next-generation payment processor for the global insurance industry.They are solving complex data challenges for top-tier insu

Founding AI Engineer – Early-Stage, YC-Backed Startup (London / Hybrid) • Salary: £100k–140k, • Equity: 1–3% (founding-level), • Hybrid working: Central London, 3 days p/week in office., • Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics. This is a seed-stage, well-funded company with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For • Strong engineering background (ideally 5+ years)., • Proven experience shipping production LLM systems., • Hands-on experience with agentic/multi-step reasoning AI., • Familiar with modern AI tooling ., • Product-first mindset and excited about early-stage startup ownership. Founding AI Engineer – Early-Stage, YC-Backed Startup (London / Hybrid)

Hybrid London 2 times per month.If you like building things that dont exist yet, keep reading.Were proud to be working with an early-stage AI startup in the automation space that is looking for someone to take full ownership of its revenue engine.Theyre small, fast, scrappy and growing in sectors t

About Euphoric Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The Role We are looking for a Lead AI Engineer to drive the technical evolution of our AI-first platform and serve as our resident expert. You won't just be tuning hyperparameters in a notebook; you will be a core software engineer architecting the complex systems that make AI useful in production. In the immediate future, your time will be split between crafting complex AI processing architectures (40%) and hands-on data/backend engineering (40%), with the rest spent doing whatever is needed to ship. As we mature, your focus will shift toward closing the loop: using real-user data to optimize the platform via online evaluation and targeted, data-driven models. What You’ll Do • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback., • Be a "Full Stack" Partner: While the backend/data is your home, you are willing to jump into the frontend (React/TS) to implement features (AI or not) or debug an integration. You understand that an algorithm isn’t "done" until the user interacts with it successfully., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategic Advising: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimization. Skills & Experience • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model., • Data Fluency: You understand how to build datasets from scratch (bootstrapping, crowdsourcing) and how to evaluate them (cross-validation, precision/recall, business metrics)., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What We Look For We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What You’ll Get • Base salary between £125k-£140k, • Remote-first setup with optional shared work space passes and a hub in London, • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays., • Career rocket fuel - real growth, real ownership, real impact Ready to Join? Hit “apply” and tell us why.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. Lead workshops, POCs, and architecture reviews with startup customers, conferences, webinars, and more. If you are interested in this opportunity, please submit your CV in English.

A high-growth AI startup is expanding fast across the UK, and they’re looking for a Business Development Representative to help drive it.

Very competitive salary + meaningful equity. One of the fastest moving AI startups in London, backed by some of the world’s top VCs and founded by real entrepreneurs with multiple exits 💸. Comfortable moving fast in high ambiguity environments.

Strong Python programming and solid data engineering fundamentals. Improve developer productivity through faster builds, better orchestration, and scalable infra.

Full Stack Product Engineer – SaaS Startup 🚨. Full Stack Product Engineer – SaaS Startup 🚨.

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.

Founding Engineer – Early-Stage, YC-Backed Startup (London / Hybrid) • Salary: £100k–140k, • Equity: 1–3% (founding-level), • Hybrid working: Central London, 3 days p/week in office., • Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics. This is a seed-stage, well-funded company with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For • Strong engineering background (ideally 5+ years)., • Proven experience shipping production LLM systems., • Hands-on experience with agentic/multi-step reasoning AI., • Familiar with modern AI tooling ., • Product-first mindset and excited about early-stage startup ownership. Founding Engineer – Early-Stage, YC-Backed Startup (London / Hybrid)

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

Location: 🌍Belfast, London or Barcelona Salary and Compensation: 💷 £60,000 - £110,000 + 📈 Stock Options Benefits: 🏥 Full Medical Insurance + 💻 All Equipment Covered About Eolas Accessing medical knowledge rapidly and easily at the point of care is still very difficult for healthcare professionals. Eolas Medical is transforming how critical medical knowledge is accessed at the point of care. We have a vision where every healthcare professional can instantly access the context specific knowledge they need to deliver safe, effective care. Designed and developed by doctors, the platform aggregates and indexes tens of thousands of items of medical content, enabling rapid and accurate decision-making. It’s currently being used by hundreds of thousands of healthcare professionals globally, over 85% of acute NHS hospitals, 40% of all doctors in Ireland and also used in world leading institutions in the US including Stanford Healthcare, Mass General and Boston Children’s Hospital. We’re now hiring another Clinical Engineer to work alongside a team of doctors helping build the next generation of AI powered clinical knowledge tools. This position has a broad scope, accepting applications from all levels of experience, i.e from minimal software development experience to the world’s best clinician turned engineer. The Role - Clinician Engineer (Clinical + Full Stack Engineering) This is a rare hybrid role for doctors who are passionate about technology, problem-solving, and building real tools that dramatically improve clinical workflows. You will bring your clinical understanding into every product decision, while learning (or expanding) real engineering capability. You will help design, build, and ship features used directly by frontline clinicians including our next-generation AI-powered knowledge retrieval tools. We welcome a broad spectrum of experience: At one end: Doctors with strong clinical background and early-stage engineering skills who are eager to learn. You’ll receive close mentorship, structured training, and opportunities to contribute quickly. At the other: Highly experienced clinician-engineers capable of contributing as senior full-stack or backend engineers from day one. You’ll directly shape system architecture, product direction, and clinical tooling design. Your clinical intuition will be just as valuable as your engineering output. This is a role where both skillsets matter equally. Our Tech Stack We are a cloud-native, modern, TypeScript-first platform. Experience with any of the following is a bonus, you do not need all of them. Backend & Infrastructure • AWS (Lambda, API Gateway, Cognito, S3, OpenSearch), • Node.js / TypeScript, • Python, • PostgreSQL & DynamoDB, • Serverless architecture & microservices, • Docker, CI/CD pipelines, • Cloud security & compliance (HIPAA / GDPR / NHS DTAC) Frontend • React, • TypeScript, • Tailwind, • Component-driven development AI / RAG / Knowledge Pipelines • LLM-powered features, • RAG pipelines (embedding models, chunking strategies, semantic search), • Document extraction/processing (PDF parsing, OCR, agentic pipelines), • Clinical content ingestion workflows, • Evaluation frameworks for safe medical AI responses If you don’t know these yet, that’s fine. We will teach you. What You’ll Do Depending on your experience, you will contribute to some or all of the following: Product & Clinical Problem Solving • Translate real clinical workflows into intuitive product experiences., • Help design features that clinicians will actually use under pressure., • Work closely with doctors, engineers, and leadership to shape product direction. Full-Stack or Backend Engineering • Build and ship cloud-first features using TypeScript/Node.js, React/Next.js, and AWS., • Contribute to infrastructure-as-code and deploy serverless services., • Help architect systems that scale to hundreds of thousands of clinicians. AI & Clinical Knowledge Retrieval • Build RAG workflows that safely surface medical knowledge., • Develop clinical document ingestion pipelines that process PDFs, protocols, and policies., • Validate AI-generated outputs with clinical context and domain expertise. Quality, Safety & Clinical Integrity • Ensure that what we build is clinically safe, defensible, and high-impact., • Bring frontline intuition to technical decisions that will affect patient care. Learning & Growth • For early-stage engineers: Receive structured training in software engineering, cloud systems, and AI tooling. Pair program with senior engineers, complete real projects, and grow rapidly., • For experienced engineers: Lead projects, contribute to architecture, mentor others, and shape the technical roadmap. Who We’re Looking For You should be a doctor with a passion for technology. Beyond that, you might be early in your engineering journey or already an expert. Either way: Essentials • Strong clinical background with deep understanding of real-world workflows., • A product mindset: you obsess over usability and solving real clinician problems., • Genuine passion for technology, engineering, and learning new skills., • Ability to think pragmatically and deliver high-quality, reliable solutions., • Curiosity, humility, and a desire to build the future of clinical decision support. Nice to Have • Experience coding in TypeScript, JavaScript, Python, or similar., • Understanding of cloud systems (AWS preferred)., • Familiarity with LLMs, embeddings, or semantic search., • A portfolio of side projects, tools, or apps you’ve built (clinical or not)., • Experience in a startup or fast-moving environment. For Senior-Level Candidates • 3–7+ years engineering experience (before or after your clinical career)., • Ability to independently architect and build production systems or if frontend orientated have the ability to lead front end development using React., • Experience with serverless systems, distributed architectures, or AI pipelines., • Leadership experience or mentoring junior engineer-clinicians. Why Join Eolas Medical This is not a normal job. • You will help shape how AI is safely used in frontline healthcare - globally., • You will work with a small, mission-driven group of clinician-engineers., • You will join at a pivotal moment as we scale from a lean team to a global organisation., • You won’t just write code: your work will directly influence how doctors treat patients every day. You will not be one engineer among many. You will be someone who fundamentally shapes the future of Eolas Medical — and of clinical decision-making itself. Contact:

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.

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

Are you a driven Account Executive ready to accelerate your career in the fast-evolving world of digital compliance?. An award-winning tech startup is on the lookout for a Commercial Account Executive to help shape the future of identity verification, AML, and KYC services.

A pair of second-time founders who have already built and exited successful ventures are assembling a new elite engineering team for their next AI startup. They’ve secured top-tier backing (8 figures), built early traction with thousands of users and are now searching for exceptional Founding Engi

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. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can ex

We are a VC-backed startup focused on behavioural AI, currently in stealth.We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI.Our platform is designed from the ground up - no legacy, no patchwork systems - just a clean slate and a clear vision

Golang, Kafka, gRPC, microservices, GCP, MongoDB.Series A startup: FinTech X Generative AI.Package: £80k - £100k Salary + Equity.Hybrid-Remote: 2 or 3 days a week in the London office (Kings Cross).We're partnered with one of the most ambitious AI startups in London, and they’re quickly becoming

Job Title: Thermal Engineer (Background in thermal design and aerodynamic interactions) Location: London, UK (on-site role) Reporting To: Lead Design Engineer / CTO About Anzen At Anzen, we are redefining how modern buildings integrate low-carbon heating and cooling systems by developing innovative, high-performance solid-state heat pumps designed for sustainability, reliability, and ease of installation. As a fast-growing, venture-backed startup, we operate at the intersection of product design, thermal systems, and building performance, and we're seeking ambitious engineers to join us on this mission. Role Description Anzen is seeking a full-time Thermal Engineer to join our engineering team at our office in London. In this on-site role, you will innovate and initiate research and development in various heat transfer problem statements for our thermoelectric heat pump. You will look after ideation, concept development, CFD validation, experimental development and validation, design for manufacture and assembly, and supplier management. Qualifications • Strong background in thermodynamics and fluid mechanics with previous experience working on heat pumps, heat batteries, chip cooling, thermoelectric modules in any application area ranging from homes to vehicles., • Ability to perform numerical firsthand calculations to running CFD models for heat transfer problems. Previous experience in R&D roles of developing heat exchangers in rapid iterative design and development of novel approaches to heat transfer problems., • Experimental design and execution from benchtop test to system level testing, • Background in airflow improvements ranging from first principle design to selection of appropriate fans. Previous experience working on acoustic dampening, • Ability to design for manufacturing and assembly with suppliers, assemblers, and manufacturers., • Identify, define, and manage work packages to de-risk areas of the product design early in the life cycle, ensuring robust and reliable outcomes., • Produce detailed technical reports and drawings, supervise detailed design and manufacture, and prepare and manage documentation., • Be self-driven in solving complex engineering challenges while working within a growing, motivated team. Work within a multidisciplinary team, promoting a collaborative environment that encourages creativity, innovation, and excellence. Technical Competencies: • Thermal Engineering Expertise: Minimum 5 years experience in thermal engineering, heat transfer (using COMSOL/ANSYS), and fluid mechanics., • Heat Exchanger Design and Validation: Proficient in designing heat exchangers from first principles and performing high-end validation with suppliers. Experience with new product development design for manufacturing(CAD and FEA)., • First-Principle Problem Solving: Ability to solve complex thermal and fluid mechanics problems using fundamental principles of thermodynamics and fluid dynamics., • Experimental Validation : Design and development of experiments to validate digital models. Previously worked on MATLAB and/or python scripts to perform post-processing of results. Experience with sensors, data logging, and building test rigs to validate and identify key challenges in the design. What Anzen Offers: • No Day Feels the Same : There will be significant engineering challenges and breakthroughs to celebrate., • Great Team : We are a passionate set of engineers, designers, coders, and sustainability enthusiasts who are all hands-on-deck at all times!, • Impactful Work: Join us in our mission to make clean energy accessible and scalable, contributing to the fight against climate change and the eradication of fuel poverty.

Full Stack Engineer – AI Startup – Up to 85k 🚀🧠. Senior Full Stack Engineer – AI Startup – Up to 85k 🚀🧠. Are adaptable and comfortable working across their stack.

Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focus

High-Growth AI Startup | London Office (Flexible Hybrid Working).Competitive Salary (Senior Roles: Six-Figure+ Packages).A rapidly growing AI startup is hiring AI Engineers across junior, mid-level, and senior experience levels to help build and deploy real, production-grade AI systems that automate

Job Title: Junior AI Engineer Location: London (hybrid – meet 1–2 times per month) Type: Permanent Salary: £40,000 + stock options Interview Process: 2–3 stages We’re hiring for a founding AI Engineer to join a startup building AI agent infrastructure for regulated industries. They are a Seed stage company backed by a Leading London VC and you will work closely with the CTO who is a previously exited AI Founder. The product already has an MVP and a fine-tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do • Build and fine-tune AI models (LLMs and transformer-based architectures)., • Work directly with customers to integrate and test new features., • Develop and improve core components of the AI agent framework., • Gather and act on client feedback to enhance product performance., • Take part in design and architecture discussions. About you • Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar)., • Strong Python skills (Pandas, NumPy)., • Experience or exposure to NLP, transformers, and LLMs., • Familiarity with ML tools like Weights & Biases or MLflow is a plus., • Curious, proactive, and confident working independently., • Ideally based near London for occasional client visits. 📩 Interested? Message me here or email

Vektora Global are partnered with a hyper growth Series B funded application security vendor, backed by some of the leading VCs in the sector. Following their recent success, we are looking for a Senior Director of Sales to join and take ownership of the EMEA sales team. Responsibilities: The successful candidate will join the team in EMEA and have 5 direct reports (account executives) initially and a dot line into another additional 5 across Sales Engineering & Customer success. • Mentor a team of account executives, • Own the EMEA number, • Develop sales strategies, • Forescout performance, • Cross collaboration with teams in marketing, product and post sales Requirements: The successful candidate must have a background in Application Security. • At least 7 years experience in cyber security sales management, • Still hands on closing deals, • Ability to travel across EMEA, • Startup experience in an early stage cyber vendor Package: OTE on Offer is depending on experience but up to £300,000 - £350,000 (50/50)

A well-funded, fast-growing AI startup based in Hammersmith are building cutting-edge products that will transform how teams work with intelligent technology are looking for a talented Full Stack Software Engineer to join a small, high-impact team.Design, build, and ship features across their AI-pow

🌍 Founding Engineer – Stealth AI Startup | London | £100–140k • Location: London (Onsite), • Compensation: £100,000–£140,000 + meaningful equity, • Start date: Flexible, but ideally soon I'm hiring for a stealth-stage AI startup founded by two individuals who have worked at some of the biggest names in the space. Backed by deep technical roots and a bold vision, they’re rethinking how enterprises interact with AI, by teaching systems directly through human decision-making. They are a small team with less than 10 heads, and they're now looking for a founding-level engineer to join the core London team. Tech stack: • Frontend: React, Next.js, TypeScript, • Backend: Python, FastAPI Happy for candidates to lean towards to backend or the frontend Why this role stands out: • Stealth-stage, high-impact: You’ll work on tech that’s pre-launch but already being used by early design partners., • Truly novel approach: Building systems that learn from human behaviour rather than traditional fine-tuning., • Deep product involvement: Ship fast, iterate constantly, and help define how AI will interface with the enterprise. If you're a Full Stack Product Engineer who thrives in fast-paced, early-stage environments and you're excited about the future of AI automation — Apply now!! 🌍 Founding Engineer – Stealth AI Startup | London | £100–140k

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!

🚨 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 🚨

🚀 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. 📧

Ready to build the high-performance logic powering next-generation logistics? Join Reelables and architect the core back-end services that process and serve data for millions of smart labels worldwide! This isn't just back-end development – you're building the mission-critical application layer that handles massive IoT data streams, ensures millisecond latency for global supply chains, and scales seamlessly as we grow from millions to billions of tracking events. Think API performance and data processing efficiency meets cutting-edge innovation. You'll be designing highly performant and distributed services that ingest and process location and temperature data from every corner of the globe, building robust, low-latency APIs that power logistics decisions worth millions of dollars, and creating the rock-solid, secure logic that our entire product ecosystem depends on. Who we are Reelables is a rapidly scaling tech company based in North London (near Angel), developing the world's most advanced smart shipping labels. Our breakthrough technology is already transforming how companies track and manage their shipments globally, and we're just getting started. Responsibilities Core Service Architecture & Scale • Design, develop, and maintain highly scalable back-end services that handle millions of concurrent data ingestion events and user requests., • Architect and optimize data processing pipelines and application logic for massive streams of real-time location, temperature, and sensor data., • Develop robust, well-documented, and performant APIs (REST/GraphQL/gRPC) that power both our customer-facing platform and third-party logistics integrations., • Ensure the application layer can scale seamlessly and cost-effectively from startup to enterprise-level traffic peaks. Performance & Reliability • Build fault-tolerant, self-healing application services with comprehensive unit, integration, and performance testing., • Implement advanced security best practices within the application code and API gateways for handling sensitive logistics and tracking data., • Optimize service performance and database queries to achieve low-latency responses under peak loads during high-traffic periods (think Black Friday logistics!)., • Drive application-level error handling, retry logic, and resiliency patterns across the microservices landscape. Technical Ownership & Collaboration • Collaborate closely with the Platform Engineering/DevOps team to define deployment requirements, monitoring needs, and infrastructure usage., • Contribute to microservices architecture decisions, selection of new programming tools, and application state management strategies., • Mentor team members on back-end best practices, API design principles, and scalable system implementation., • Drive initiatives to improve code quality, testing rigor, and overall developer productivity. Experience Back-End Development Mastery • Backend Expertise: Advanced TypeScript/Node.js/Python skills with deep, hands-on understanding of designing and implementing high-scale distributed systems., • API Design: Proven track record designing, implementing, and optimizing production-grade APIs (REST/GraphQL) for both internal and external consumption., • Data Systems: Experience with optimizing database queries and schema design for both relational (PostgreSQL, MySQL) and NoSQL/Time-Series databases (e.g., DynamoDB, TimescaleDB) under high-throughput conditions. Scale & Performance Focus • Experience building systems that efficiently handle millions of requests/events per day with stringent latency requirements., • Deep understanding of distributed systems principles, caching strategies (e.g., Redis, Memcached), and microservices communication patterns (e.g., message queues, service meshes)., • Background in IoT platforms, real-time data processing, or high-scale consumer applications is a significant bonus. Technical Environment • Familiarity with cloud-native development on AWS (e.g., Lambda, ECS/EKS, API Gateway, SQS/SNS)., • Experience integrating application services with CI/CD pipelines and contributing to application monitoring/observability using tools like Prometheus, Grafana, or Datadog., • Experience with containerization (Docker) and a solid understanding of how application code runs within a Kubernetes or serverless environment. Leadership & Collaboration • Strong mentoring abilities and passion for elevating team code quality and development standards., • Excellent communication skills for collaborating with Product Managers, Front-End Engineers, and the Platform team., • Experience working in fast-paced start-up environments where you take ownership of core application features and drive significant technical decisions.

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.

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

Senior Software Engineer Location: London (Hybrid / On-site) Salary: £100,000 – £150,000 + equity About the Company We’re working with an early-stage, venture-backed legal technology startup on a mission to transform one of the UK’s most broken consumer experiences: the legal process behind property transactions. This market is large, fragmented, and outdated, with high failure rates, poor transparency, and processes still reliant on manual workflows. The company is building the UK’s first AI-native law firm, starting with property transactions and scaling towards a full-service, AI-first legal platform with global ambitions. The business is backed by a leading early-stage VC fund and experienced angel investors, and led by a founder who has previously built and scaled a regulated fintech business to multi-billion-pound lending volumes. That experience provides a strong foundation for navigating regulation while moving quickly in a traditionally slow industry. The Role This is an opportunity for a Staff or Senior Product Engineer to join as one of the earliest engineers in the business. You’ll be part of a small, high-calibre team of generalists who value product thinking, speed, and engineering craft. From day one, you’ll have significant ownership, shaping product direction, shipping to production quickly, and working directly with users to define what should be built. Requirements won’t always be fully formed; you’ll be expected to explore problems, test ideas, and iterate fast. This role reports directly to the founder and offers genuine influence over both product and technical direction. What You’ll Do • Build and ship production features from your first week, • Work closely with users to understand pain points and validate solutions, • Help define product strategy in an ambiguous, fast-moving environment, • Design and scale TypeScript-based systems across the stack, • Build AI-powered workflows and agent-based systems that go beyond basic prompting, • Set engineering standards and raise the bar as the team grows You May Be a Good Fit If You • Have experience at early-stage startups and enjoy high ownership, • Think in terms of user problems, not just technical implementations, • Have scaled and maintained complex TypeScript codebases, • Are comfortable working end-to-end across product and engineering, • Actively experiment with and refine AI-assisted development workflows, • Have built LLM-powered systems or AI agents in production environments Tech Stack • TypeScript monorepo, • React, tRPC, Tailwind, • Event-driven workflows and background jobs, • Deployed on Google Cloud Platform, • Postgres What’s On Offer • £100,000 – £150,000 base salary (depending on experience), • Meaningful early-stage equity, • 5% employer pension contribution, • Private medical cover (including dental and optical), • 25 days holiday plus bank holidays, • Choice of AI tooling, • London-based role (Shoreditch), working closely with the founding team

Lead Principal Engineer (Management) - Central London - 3 days a week onsite 🚀 Early-Stage Startup | 🧠 Safety-Critical Systems Want to become a CTO? Here's your chance in a business creating safety in the rise of AI-powered autonomous systems. The Opportunity I’m working with a mission-led startup in central London that's developing groundbreaking software to make AI and autonomous systems safe, predictable, and trusted - starting in the aerospace and defence domains. They’ve already built a strong technical foundation, won key partnerships, and are now hiring a Team Manager to take things to the next level - someone who can guide systems architecture, lead high-stakes delivery, and build an elite engineering culture from the ground up; very quickly becoming the CTO. It's 100% a step up for a lead principal, but that's the point! We want someone that isnt too far removed from the tech, but has had a go and management and loved it. What You’ll Be Doing You’ll report directly to the Founder and take full responsibility for shaping and scaling the engineering function. You’ll be responsible for everything from technical direction and team structure to delivery quality and certification readiness. Expect to: 🟢 Take ownership of a team of 15 🟢 Not be too removed from the tech, and dive into code reviews when needed 🟢 Work in a very fast paced environment, with short, rapid delivery cycles What You’ll Need 🟢Proven experience in management. Managed a team of c.5 people? Perfect! 🟢Understand Safety Cricial Software (IEC, ISO, MILSTAN, DO178 etc) 🟢Your technical background is Frimware/Embedded Focussed 🟢Show the aptitude for start ups (All-in mentality, balancing multiple things, working at speed!) Why Join? 💷 Up to £75,000 salary (Potential flex) 💡 Build the engineering culture and systems from the ground up 🧠 Work at the forefront of autonomy, AI assurance, and safety engineering 🧭 Clear mission and values: trust, safety, and technical excellence 🔧 Tools and environment designed for impact, not bureaucracy 🎁 Benefits include: • 5% matched pension, • Bonus schemes, • Cycle to Work & EV schemes, • Generous holiday allowance, • Equity!

Head of Engineering - London | 💷 £100,000 🚀 Early-Stage Startup | 🧠 Safety-Critical Systems Want to become a CTO? Here's your chance in a business creating safety in the rise of AI-powered autonomous systems. The Opportunity I’m working with a mission-led startup in central London that's developing groundbreaking software to make AI and autonomous systems safe, predictable, and trusted - starting in the aerospace and defence domains. They’ve already built a strong technical foundation, won key partnerships, and are now hiring a Head of Engineering to take things to the next level - someone who can guide systems architecture, lead high-stakes delivery, and build an elite engineering culture from the ground up; very quickly to become the CTO. This is a hands-on leadership role for someone who still loves the tech, thrives in complex systems environments, and wants to be part of something that genuinely matters. What You’ll Be Doing You’ll report directly to the Founder and take full responsibility for shaping and scaling the engineering function. You’ll be responsible for everything from technical direction and team structure to delivery quality and certification readiness. Expect to: • Lead and grow a multi-disciplinary engineering team across software, systems, and assurance, • Own the engineering roadmap, aligning R&D, compliance, and product delivery, • Embed robust safety-critical and V&V processes aligned to aerospace/defence standards, • Drive technical architecture, engineering culture, and continuous improvement, • Integrate R&D outcomes into production-ready, certifiable products This is a foundational role in a company with serious ambitions - ideal for someone who wants both leadership and hands-on technical challenge. What You’ll Need • Proven experience leading engineering teams in a complex systems environment, • Background in safety-critical / mission-critical software (C/C++ to DO178/MISRA standard or similar is perfect), • Strong grasp of systems engineering, software architecture, and product development lifecycles, • Comfortable with regulated environments and compliance frameworks Why Join? • 💷 Up to £90,000 salary (Potential flex), • 💡 Build the engineering culture and systems from the ground up, • 🧠 Work at the forefront of autonomy, AI assurance, and safety engineering, • 🧭 Clear mission and values: trust, safety, and technical excellence, • 🔧 Tools and environment designed for impact, not bureaucracy, • 🎁 Benefits include:, • 5% matched pension, • Bonus schemes, • Cycle to Work & EV schemes, • Generous holiday allowance, • Long-term equity upside as the company scales If you're a senior technical leader who still loves the code, thrives on system-level thinking, and wants to work on tech that truly matters ...this is your shot.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About The Role We are looking for a Senior/Staff Software Engineer (Data) to help transform our rapidly growing universe of raw robotic data into a dependable, scalable foundation for learning, simulation, and system performance. You will be part of a specialised team responsible for designing and maintaining the data pipelines that connect control, perception, simulation, and learning systems. This role involves close collaboration with robotics engineers, machine learning researchers, and software developers. You will own critical aspects of our data platform, shape data models and schema design, implement quality controls, and optimise systems for high-throughput and reliable processing. It’s ideally suited to someone passionate about building foundational systems at the intersection of AI and robotics, who enjoys solving practical challenges and working across disciplines to turn complexity into clarity. What You’ll Do • Develop the backbone of our HMND robot Capability Factory., • Curate, preprocess, and manage large-scale datasets for humanoid robot training—projected to grow to petabytes by 2026., • Build highly scalable data pipelines on massive infrastructure tens of thousands of vCPUs., • Ensure the quality, accuracy, and consistency of data across multiple projects., • Collaborate with machine learning teams to design data pipelines that support efficient training workflows., • Develop and maintain data quality metrics reporting systems., • Implement best practices for data management, including versioning, security, and compliance. We’re Looking For • Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field., • 5+ years of experience in data engineering and data quality., • Strong proficiency in one the programming languages, such as Python, Java, Scala, C++, etc., • Experience with distributed computing frameworks such as Ray, Spark, and MapReduce., • Attention to detail and a strong commitment to data integrity., • Excellent problem-solving skills and ability to work in a fast-paced environment. Nice To Have • Experience developing infrastructure for petabyte-scale data platforms., • Deep, hands-on expertise in low-level and system-level engineering, including operating systems, networking, and large-scale infrastructure internals., • Understanding of ML requirements and experience working with ML teams., • Experience with DBT, Prefect, and Databricks., • Familiarity with robotics or the self-driving field., • Experience with cloud-based data storage and processing solutions. AWS would be a plus., • Passion for contributing to the development of advanced humanoid robots. Benefits • Competitive salary plus participation in our Stock Option Plan, • Paid vacation and travel opportunities to our London, Vancouver, and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate The Company We’re supporting a well-funded Seed-stage B2B SaaS startup backed by top-tier European investors. They are automating a traditionally manual, data-heavy operational process that sits at the heart of large online businesses. The platform is already in use with several enterprise customers, and funding has been secured to scale engineering and deliver an AI-driven product roadmap. You’ll be joining very early, working with an experienced founding team who have previously built and scaled well-known tech companies. The next phase is product expansion, deeper automation, and building intelligent systems that turn unstructured data into actionable insights at scale. About the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate As the Founding AI Engineer, you will architect and build production-grade AI features into the core platform. The role blends backend engineering, data processing, and practical AI/LLM deployment. Your work may include: • Designing AI-powered workflows for unstructured and semi-structured data, • Building intelligent document processing, matching and extraction, • Developing scalable pipelines and APIs in Python, • Working on retrieval, embeddings, and search, • Productionising LLM-driven features for real customers This is a hands-on engineering role with high ownership. You will collaborate directly with the CTO and founding engineers, and have real influence over architecture, model choice, tooling and product direction. Requirements for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Strong backend engineering experience (Python preferred), • Experience working with LLMs, NLP or applied machine learning in production, • Understanding of data pipelines, distributed systems or large-scale processing, • Cloud experience (AWS, GCP or Azure), • Comfortable in fast-paced, high-ownership environments, • Excellent communication and product mindset Experience in a startup or scale-up is a strong advantage, but not required if you can demonstrate ownership of end-to-end systems. What’s on Offer for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Up to £140,000+ salary + meaningful early-stage equity, • Hybrid working, East London office (3-4 days per week), • Chance to shape technical strategy and culture from day one, • Real-world AI problems with paying customers and immediate impact, • Long-term progression into Principal or Head of AI If you’re interested in the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate, apply today. If your background fits, we’ll reach out to discuss next steps.

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.

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.

DUBAI BASED ROLE. Relocation would be required but with highly competitive, tax free salary package. Company Profile: • Property Finder is the leading digital real estate platform in the Middle East and North Africa region., • A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, Egypt and Turkey over the years, • The company is one of the largest technology start-ups in the region and Tech Unicorn. Position Summary: We are looking for a talented Senior Software Engineer – AI & ML to join our growing development team at Property Finder. This role is a blend of hands-on software engineering and applied AI/ML, building intelligent features and platforms that power our core marketplace and internal tools. At Property Finder, we believe in nurturing talent and encouraging creativity and autonomy in a fun, forward-thinking, and positive environment. You’ll work in small, empowered cross-functional teams that take ideas from inception all the way to production, fully tested and monitored, with minimal outside disruption. We expect you to be passionate about technology, curious about AI, and eager to use both to create tangible impact for our users and partners. Key Responsibilities: • Design, build, and maintain AI-powered full-stack applications that improve user experience and internal tools., • Develop and operate scalable backend services & APIs for AI/ML workloads using languages such as Python, Golang, or Node.js., • Productionize ML / GenAI solutions, including:, • Retrieval-Augmented Generation (RAG) for support, content, and internal tools, • Recommendation and ranking services, • Classification, quality scoring, and enrichment pipelines, • Implement and evolve the AI/ML platform, including:, • Feature and embeddings stores, • Vector search / semantic search infrastructure, • Evaluation dashboards, prompt/version management, and feedback loops, • Own services end-to-end: from design and implementation to monitoring, observability, and on-call, ensuring high availability, performance, and reliability., • Collaborate with cross-functional teams (Product, Data Science, Data Engineering, Design, DevOps/SRE) to translate business problems into robust technical solutions., • Apply cloud-native and DevOps best practices, using AWS and containerization (ECS/EKS, Docker, etc.), CI/CD (GitHub Actions, Jenkins, etc.), and infrastructure-as-code., • Implement security, data protection, and responsible AI guardrails, ensuring safe and compliant use of models and data., • Participate in code reviews and help define and drive engineering best practices across the team., • Mentor and support other engineers (and occasionally data scientists), sharing knowledge on software design, clean code, and reliable ML in production., • Stay up to date with emerging AI/ML and software engineering trends and proactively propose improvements to our stack and ways of working. Desired Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)., • 7+ years of professional experience in software engineering, with significant exposure to backend and distributed systems., • Strong proficiency with one or more backend languages: Golang, NodeJS, or Python, • Solid understanding of cloud architecture and cloud-native technologies, preferably AWS., • Experience designing and operating highly distributed, scalable services with strong observability (metrics, logs, traces, dashboards, alerts)., • Familiarity with MLOps practices and tools: CI/CD for ML, model deployment patterns, monitoring model performance and data drift., • Knowledge of relational and NoSQL databases, including schema design and query optimization., • Strong understanding of DevOps practices and CI/CD pipelines using tools such as GitHub Actions, Jenkins, and Git., • Excellent problem-solving skills, attention to detail, and a strong sense of ownership., • Great communication and teamwork abilities, comfortable collaborating in cross-functional Agile teams., • Hands-on experience with AI/ML or GenAI in production, such as:, • Fine-tuning or integrating transformer models, • Building RAG pipelines and semantic search, • Working with vector databases (e.g., Pinecone, Weaviate, Milvus, OpenSearch, etc.), • Self-motivated and proactive, able to work independently where needed while contributing to team outcomes., • Passion for clean, efficient, maintainable code, and for turning AI/ML ideas into reliable, user-facing products., • Ability and willingness to mentor junior engineers and contribute to the growth of the team’s AI/ML and software engineering capabilities. Our promise to talent At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed. Property Finder Guiding Principles • Think Future First, • Data Beats Opinions, Speed Beats Perfection, • Optimise for Impact, • No Ostriches Allowed, • Our People, Our Power, • The Biggest Risk is Taking no Risk at All Find us at:

AI Startup - Backend Python Engineer A pair of second time founders who have already built and exited successful ventures are assembling a new elite engineering team for their next AI startup! They have secured top tier backing (8 figures!), built early traction with thousands of users and are now searching for exceptional Founding Backend Engineers to scale a deeply ambitious product at breakneck speed. This is a ground floor opportunity to own the backend systems that could redefine how people interact with AI every day! 💡 The Role • Build core backend services, APIs and distributed systems in Python, • Design architecture, data flows and infrastructure foundations from day zero, • Work directly with the founders on product strategy and technical direction, • Move fast in an iterative environment while maintaining high engineering quality, • Shape backend engineering culture, tooling and processes for a rapidly scaling product 🛠️ Tech Environment • Python with FastAPI, • PostgreSQL, • Event driven backend services and data heavy workflows, • Modern AI frameworks and agent driven systems integrated into backend pipelines, • Engineers who love solving performance, scaling and reliability challenges 🥷 What You Need • 5+ years experience in high growth early stage startups, • BSc or MSc from a highly ranked university (Oxford Cambridge Imperial UCL, or similar), • A desire to work in a fast paced startup that pushes technical and product limits 💸 What’s on Offer • Very competitive salary (top of market) + meaningful equity, • Work directly with two founders who have built and exited successful ventures, • Huge ownership over backend architecture infrastructure and technical direction, • Build a category defining AI platform with the potential for global scale, • Join a small elite engineering team moving at exceptional speed If you want to join a high velocity AI venture at the earliest stage and help build something truly transformative let’s talk!

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. About the Role As Head of Service Engineering & Aftersales, you will lead Design for Serviceability (DFS), in-field technical support, warranty policy, service cost optimization, and the infrastructure required to support customers globally. This role is deeply embedded in our Design for Excellence (DFX) culture. You’ll partner with engineering, cost engineering, and supply chain teams to ensure supportable designs, efficient cost drivers and scalable reverse logistics. You will build teams, tools, and standards needed to deliver efficient, scalable, and seamlessly integrated service. What You'll Do Design for Serviceability (DFS) • Lead the service engineering function, owning the DFS pillar of DFX, and ensuring serviceability is embedded into hardware and software development., • Partner with engineering teams to influence designs that reduce MTTR, improve access, simplify diagnostics, and optimize reworkability, field replaceability, and repair pathways., • Define, enforce, and manage serviceability standards and requirements for mechanical, electrical, and embedded systems, including developing reworkability strategies for major subassemblies and critical wear components., • Design and implement the global aftersales support model, including all service levels (self-service, remote assist, onsite support), case handling processes, tooling, and infrastructure for case tracking, knowledge sharing, and field diagnostics., • Align support capabilities with commercial commitments, collaborating cross-functionally to meet SLAs and needs., • Lead onboarding, documentation, and training for internal and external teams., • Oversee spare/replacement logistics, coordinating with supply chain., • Define warranty policies, terms, and coverage. Track warranty metrics and drive root-cause on failures/returns., • Partner with supply chain to define and implement global reverse logistics for spares, RMAs, repairs, and triage., • Ensure repair flows are supported through documentation, tracking systems, and vendor management., • Act as the voice of the field and the customer into engineering, directly feeding service insights to reliability and roadmaps., • Define and implement requirements for service tracking, documentation, analytics, and customer-facing portals., • Set standards for documentation and knowledge bases, and implement tooling for diagnostics and post-deployment insights., • Partner with IT/software teams to assure robust, scalable digital support systems. We’re Looking For: • 10+ years in service engineering, aftersales operations, or support leadership—ideally in robotics, automotive, industrial automation, or hardware systems., • Proven DFS experience, influencing system-level designs., • Familiarity with service cost modeling, warranty frameworks, lifecycle cost analysis, and reverse logistics systems., • Ability to operate cross-functionally and scale complex systems, with experience building service teams and systems in high-growth environments., • Experience supporting high-value capital equipment, field-deployed robotics, or industrial automation, • Familiarity with FMEA, FRACAS, reliability modeling, and field diagnostics tooling, • Background in spare parts planning, depot repair operations, or service lifecycle systems (e.g., ServiceMax, Salesforce, custom platforms), • Experience in B2B AND B2C service delivery models What We Offer • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

A fast-growing AI-driven SaaS company is hiring three Senior Software Engineers to join its engineering team. 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. You’ll be part of cross-functional squads delivering modern, serverless, AI-enabled applications used in highly regulated industries. The company has a strong engineering culture, embraces AI-assisted development, and offers autonomy, impact, and the chance to help shape technical direction. Role: Senior Software Engineer Salary: Up to £70,000 per annum Location: Fully Remote (UK-based) What you’ll be doing: • Design, build, and optimise scalable software using Node.js, TypeScript, React, AWS Lambda, Step Functions, DynamoDB, • Contribute to architecture discussions and ensure solutions are secure, cloud-native, and maintainable, • Use AI-assisted tooling to speed up development, testing, and debugging, • Work closely with Product, Delivery, and Technical Leads to refine requirements and deliver iteratively, • Mentor junior engineers and conduct code reviews to maintain quality and consistency, • Help drive best practices across DevOps, CI/CD, observability, and secure coding, • Collaborate with other squads to ensure technical alignment across the platform What you’ll need: • Strong full stack experience with a backend-first mindset, • Expertise in Node.js, TypeScript, React, and modern cloud engineering, • Hands-on experience with AWS serverless, particularly Lambda, Step Functions, DynamoDB, • Solid understanding of scalable architecture and performance optimisation, • Experience in scale ups, startups, or SMEs where speed, ownership, and adaptability matter, • Strong debugging, problem solving, and delivery skills, • Interest in or experience with AI-assisted engineering tools (e.g. GitHub Copilot), • Comfortable working in agile squads and contributing across the full SDLC What’s on offer: • Salary up to £70,000, • Fully remote working across the UK, • Modern AI-first engineering environment, • Real ownership and impact in a growing product-led team, • Opportunity to shape tooling, workflow, and engineering standards, • Clear progression path into Technical Lead, • Collaborative culture with a focus on high-quality engineering and continuous improvement If you’re a hands-on engineer who enjoys building scalable backend systems, working cloud-first, and embracing AI-assisted development, this is a great opportunity to join a fast-moving team solving meaningful technical challenges.