301 jobs found

ABOUT THE JOB We're removing one of the last great barriers to progress in the physical world. While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems. We are on track to raise our Series A, backed by a 14 oversubscribed $4.5m seed round from Tier-1 VCs such as Coinbase, Reddit, Klarna, and Spotify. Our world-class team includes former unicorn founding engineers and talent from X, Google, Amazon, and Yandex. We value people who want to win and thrive in high-ownership environments. We're building the system that lets complex, real-world work move at software speed. WHO WE ARE LOOKING FOR We're looking for a Forward Deployed Engineer who thinks in customer workflows, not tickets or isolated features. This is a role for someone who wants to sit with users, decide what should exist, build it end-to-end, and put it in their hands. You will fit right in if you have experience with: Customer Embedding - Work directly with customers to understand their real workflows Product Engineering - Design and build end-to-end user workflows, from UI to backend logic and data Domain Translation - Translate messy real-world processes into clear, intuitive software Frontend - Build production-grade UI using modern frontend frameworks (React, TypeScript) Backend - Implement APIs, business logic, and data models that support complex workflows AI Integration - Design and integrate AI-powered features (LLMs, agents, model-backed APIs) into customer workflows Product Judgment - Be opinionated about what to build, what not to build, and when to ship Ownership - Build fast and ship production-grade systems with high ownership WHAT YOU WILL DO Ship from Day 1 - Deploy to production immediately and own real product surface area Own it end-to-end - Run customer calls, write the spec, build it, and ship it Solve real problems - From UX polish to backend logic to jumping on customer calls WHAT WE ARE LOOKING FOR TECHNICALLY Strong experience with TypeScript and modern frontend frameworks (React or equivalent) Comfortable building backend services in Python Experience integrating AI systems (LLMs, agents, model-backed APIs) into production products Ability to reason about complex workflows, not just CRUD Comfort talking directly with customers, including non-technical domain experts Strong plus if you have: Founder or ex-founder experience Early-stage or stealth startup background Founder fellowships or similar environments (EF, YC, Antler, etc.) Experience as a forward-deployed / solutions engineer (Palantir, Ramp, Scale, etc.) Experience building AI-powered products in production Experience working where requirements were unclear and evolving YOUR FIRST MONTH Ship to production from day one Own problems end-to-end, from definition to deployment Do what needs doing, including UX polish, debugging, and customer interaction WE OFFER Pace and purpose - In-person in London (visa sponsorship available) No friction - Relocation, visas, meals, and tools fully covered A tight-knit team - High standards, high trust, no politics

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We are looking for an exceptional Robotics Engineer to build autonomous robotic systems in real world environments. This role sits at the intersection of robotics, machine learning and systems engineering. You will work across the full stack, from research, planning, control systems all the way to deployment. This position is suited to someone who is equally comfortable in research, training machine learning models and delivery of a robot to the field. Responsibilities Design, build and deploy autonomous robotic systems. Develop planning, perception and control systems using modern machine learning and robotics techniques. Research and implement state of the art approaches in embodied AI, transformer architectures, reinforcement learning and robot learning. Integrate sensors, actuators, perception systems and control frameworks into robust production systems. Help define the long term technical direction of Fuse's robotics programme. Qualifications Strong experience building and deploying robotic systems in real world environments. Expertise in C++. Experience with robotics frameworks such as ROS2. Strong understanding of motion planning, robot control, computer vision and perception systems. Experience training and deploying machine learning models. Familiarity with transformer architectures, reinforcement learning, imitation learning or robot learning techniques. Strong problem solving skills. Comfortable working in a fast moving startup environment. Nice to Have Experience working on embodied AI or robotic foundation models. Publications or significant contributions within robotics or machine learning. Experience with manipulation, mobile robotics or industrial robotics. Experience taking robotics products from prototype through deployment. Interest in energy and industrial automation. Benefits Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a RevOps Systems Analyst to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works. You'll function as a Salesforce admin and backend developer in one. You'll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you'll work shoulder-to-shoulder with our engineering team, scoping and shipping together. In this role, you will: Administer our Salesforce org: object model, data architecture, user configuration, and platform health. Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end. Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows. Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org. Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution. Requirements Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration. Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team. SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic. Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes. Excited by modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect. Bonus: Familiarity with dbt or modern data transformation tooling. Experience with BI tools such as Sigma or Looker. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

ABOUT THE JOB We're removing one of the last great barriers to progress in the physical world. While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems. We are on track to raise our Series A, backed by a 14 oversubscribed $4.5m seed round from Tier-1 VCs such as Coinbase, Reddit, Klarna, and Spotify. Our world-class team includes former unicorn founding engineers and talent from X, Google, Amazon, and Yandex. We value people who want to win and thrive in high-ownership environments. We're building the system that lets complex, real-world work move at software speed. WHO WE ARE LOOKING FOR We're looking for an Applied AI Engineer who thinks in user workflows and model behavior, not benchmarks or isolated prompts. This is a role for someone who wants to decide what AI should do, build it end to end, and put it in users' hands. You will fit right in if you have experience with: Applied AI - Design and build LLM-powered features that solve real workflows, from prompt to production Model Behavior - Reason about why models fail, when to use which model, and how to make them reliable in production Evals & Iteration - Build evals that actually catch regressions and drive improvements, not vanity metrics Agents & Tooling - Design multi step agents, tool use, and orchestration for complex domain workflows Document Intelligence - Extract structured data from messy real world documents (PDFs, scans, forms, tables) Product Judgment - Be opinionated about what AI should do, what it shouldn't, and when "good enough" ships WHAT YOU WILL DO Ship from Day 1 - Deploy AI features to production immediately and own a real user facing surface area Own it end to end - From problem definition to prompts, evals, monitoring, and iteration Solve real problems - Sit in customer calls, look at real documents, debug bad outputs, and make the system better WHAT WE ARE LOOKING FOR TECHNICALLY Strong experience with Python and modern LLM tooling (OpenAI/Anthropic/Azure OpenAI SDKs, structured outputs, function calling) Experience building production AI systems beyond a wrapper around a chat API Comfortable with evals, prompt engineering, and reasoning about model failure modes Ability to work across the stack to integrate AI into real product workflows (TypeScript/React frontend, Python backend) Ability to reason about complex domain workflows, not just prompt response Strong plus if you have: Founder or ex founder experience Early stage or stealth startup background Founder fellowships or similar environments (EF, YC, Antler, etc.) Experience building AI powered products in production Experience working where requirements were unclear and evolving YOUR FIRST MONTH Ship an AI feature to production from day one Own problems end to end, from prompt to eval to deployment Do what needs doing, including looking at hundreds of real outputs, debugging edge cases, and customer interaction WE OFFER Pace and purpose - In person in London (visa sponsorship available) No friction - Relocation, visas, meals, and tools fully covered A tight knit team - High standards, high trust, no politics

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder like energy who want real impact, accelerated learning, and true ownership. You bring strong role related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero to one ideas into real products, and you "get stuff done" end to end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. What the Scale Team Does Embedded Finance Platform: Build and maintain the multi tenant infrastructure powering companies like Rippling, Navan, Qantas, and SHEIN. You'll architect systems that aggregate requests from all platform customers, meeting enterprise grade SLAs for availability, latency, and throughput while handling cross data center scenarios. Cross Domain Product Features: Own features that require synthesizing knowledge across business, regulatory, and technical domains-areas where no single existing team has full coverage, like tax systems, compliance driven flows, or monetization tools. Solutions Architecture: Design integrations for enterprise prospects by translating their business requirements into technical solutions. Your architectural decisions directly influence deal outcomes-from enabling multi million dollar contracts to differentiating in competitive sales. Who You Are You might be a great fit if you Have 3+ years of software engineering experience in Java/Spring Boot. Excel at making the right level of abstraction-balancing flexibility and simplicity in system/component design. Demonstrate clean communication across technical and non technical stakeholders. Make pragmatic decisions on when to optimize for performance vs. velocity based on business impact. Thrive in cross functional environments spanning Product, Design, Compliance, and Sales. Design for scale, maintainability, and production excellence. Bonus if you have Fintech, payments, or regulated industry experience. High scale performance tuning (100k+ QPS, large user bases, strict latency SLAs). Multi tenant SaaS or platform architecture background. Proficiency with PostgreSQL, Redis, Kafka, or cloud platforms (AWS/GCP/Azure). Experience with OAuth2.0, API design, or developer documentation. Cross region deployment or data residency compliance experience. Solutions engineering or customer facing technical experience. Why Join Us Build Something That Matters: Your work directly impacts how millions of people use financial services. Companies like Rippling and SHEIN rely on infrastructure you'll build. You're not just writing code-you're shaping how businesses embed finance. Grow Beyond Engineering: You'll develop expertise that extends beyond technical skills: understanding customer business models, navigating regulatory landscapes, influencing enterprise sales. This is career growth that prepares you for technical leadership, product roles, or even founding your own company. Join a World Class Team: Work with exceptional engineers, product thinkers, and designers across the globe. At Airwallex, you'll be challenged, supported, and surrounded by people who are building something meaningful together. Compensation Range: £60,000 - £105,000 + bonus + RSU Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Design and deliver production grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission critical and drive revenue directly to Sierra's growth. These aren't prototypes-they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise grade customers What you'll bring Experience building and scaling end to end production systems Strong technical problem solving skills, especially in fast changing, ambiguous environments A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship Comfort working directly with customers to understand their needs and solve real world problems Excellent communication skills - clear, direct, and persuasive across technical and non technical audiences Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self reflect to continuously self improve. Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full time employees: Flexible (unlimited) paid time off Medical, dental, and vision benefits for you and your family Life insurance and disability benefits Retirement plan dependent on country of employment Parental leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary benefit stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Software Engineering Intern We're seeking an exceptional engineering intern to join Wexler and work directly alongside our expert Software and Machine Learning Engineers. This is a hands on roll, you will contribute to the agent infrastructure of our product, push the product forward through blue sky projects, and have direct impact on a product that expert lawyers use every day. We are ideally seeking 2026 graduates (or strong second-year students) from top UK universities in Computer Science or a closely related discipline. If you are obsessed with building things, intellectually curious, and excited by the frontier of applied AI, we'd love to meet you. About Wexler Legal AI has caught the attention of VCs and the wider tech world, but the reality is adoption with users is low in the enterprise, with roughly 20% of lawyers using AI tech. Of those lawyers, most are transactional or contract lawyers and they use generalist platforms that look to aggregate the tasks lawyers do but do not go deep into specific workflows. That's where Wexler is different. We are a 'scalpel' rather than a 'Swiss Army knife', meaning we go deep into the workflows that can decide how a legal case is won. We have had extremely positive feedback from lawyers, and we have an ambitious roadmap of features to expand our coverage while retaining the forensic detail that makes our product great. Responsibilities: Build and develop our agentic infrastructure Partner with the technical team to ideate, develop, and execute innovative, forward-looking ("blue sky") initiatives that enhance and evolve the Wexler product. Contribute to customer-facing interfaces that allow legal professionals to interact seamlessly with the product Work alongside AI engineers to integrate LLM capabilities into production systems Participate in technical architecture discussions and learn engineering best practices from a strong founding team Think about the problems that matter most: delightful agentic experiences, performance at scale, and enterprise-grade security Technical skills: Back-end: Proficiency in Node.js / TypeScript or Python - ideally both. Comfort writing clean, testable server-side code. Databases: Familiarity with relational databases (PostgreSQL preferred). Understanding of schema design and querying. Front-end: Exposure to a modern JS framework (React is our stack). Able to translate product ideas into clean UI. Cloud & DevOps: Any experience with AWS, CI/CD pipelines or containerisation is a bonus - not a requirement. AI / ML: No prior AI experience is required. Curiosity about LLMs and how they work is all we ask. You will be: A 2026 graduate (or strong 2nd-year) from a top UK university, studying Computer Science, Engineering, Mathematics, or a closely related field A builder - you have personal projects, hackathon experience, or open-source work that demonstrates you love creating things Intellectually curious and excited by the once-in-a-generation platform shift happening in AI Full-stack and comfortable getting stuck in wherever needed, be it a customer-facing feature, an internal tool or a performance fix Energised by a startup environment: priorities move fast, customers are close, and your work ships the same week it's written Someone who values working with people who are low ego, ambitious and pragmatic Comfortable figuring out how to build things you haven't built before, and asking smart questions when you need to Based in (or willing to relocate to) London for the internship. We work 4 days a week in person from our WeWork in Aldwych What We Offer: Real ownership: You will be designing and building the core systems that power AI for some of the most expert users in AI Mentorship from experienced software and machine learning engineers, including direct access to the founders A clear path to a full-time Software Engineer role for outstanding interns

Role: Senior Backend Engineer Contract: Permenent Location: London Salary: Very Competitive A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing You'll sit at the core of our product, building the systems that make advanced AI usable in the real world. If you enjoy owning backend services end to end, care deeply about reliability and API quality, and want to work hands on in a high impact environment, this role offers both autonomy and real impact. Backend Architecture & APIs (Primary Focus) Design and evolve scalable backend services in Python using FastAPI for high availability, high throughput workloads. Build well versioned RESTful APIs aligned to OpenAPI/Swagger, with strong conventions for consistency, idempotency, and backward compatibility. Implement authentication and authorization using OAuth2/OIDC, session management, and fine grained permissions. Design and maintain event driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. Introduce caching, rate limiting, and queuing to meet performance budgets and latency goals. Integrate with AI pipelines and model serving endpoints, including streaming responses, async inference jobs, and robust error/retry semantics. Security & Reliability Write secure, well tested code (unit, integration, end to end) and uphold coding standards through code reviews. Contribute to logging, metrics, and alerting (Prometheus/Grafana, ELK/OpenSearch) for the services you build. Support compliance readiness (ISO 27001, GDPR) through secure by default design. Cross Functional & Process Collaborate closely with the engineering team, product and leadership to scope, sequence, and deliver outcomes. Translate product requirements into technical plans, breaking work into milestones with measurable success criteria. Mentor engineers on backend design and API ergonomics. Infrastructure Contributions (optional) Ship services via Docker containers with clean, minimal builds. Contribute to IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions/Argo CD) alongside the DevOps team. Support cloud operations with sensible defaults, cost awareness, and environment promotion across dev/staging/prod. Required Skills & Experience SC Clearance or the ability to obtain SC (and later DV). 5+ years of professional software engineering experience, with a strong focus on backend development in Python and with event driven architectures. Hands on experience with Palantir Foundry, including working with Foundry APIs, data pipelines, ontologies, or Foundry based application development. Proven experience designing and operating production REST APIs with OpenAPI/Swagger. Deep understanding of relational database design, indexing, performance tuning and migrations (PostgreSQL). Proficiency with containerisation (Docker) and Git based workflows. Experience with API versioning, security, documentation strategies, and automated testing. Strong problem solving skills and the ability to work independently with high ownership. Soft Skills High agency engineer who owns outcomes end to end. Pragmatic, research driven approach with a bias to ship and iterate. Clear communicator who can talk to stakeholders of varying technical backgrounds. Comfortable defining SLAs, making trade offs explicit, and operating production systems. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We are looking for an exceptional Robotics Engineer to build autonomous robotic systems in real world environments. This role sits at the intersection of robotics, machine learning and systems engineering. You will work across the full stack, from research, planning, control systems all the way to deployment. This position is suited to someone who is equally comfortable in research, training machine learning models and delivery of a robot to the field. Responsibilities Design, build and deploy autonomous robotic systems. Develop planning, perception and control systems using modern machine learning and robotics techniques. Research and implement state of the art approaches in embodied AI, transformer architectures, reinforcement learning and robot learning. Integrate sensors, actuators, perception systems and control frameworks into robust production systems. Help define the long term technical direction of Fuse's robotics programme. Qualifications Strong experience building and deploying robotic systems in real world environments. Expertise in C++. Experience with robotics frameworks such as ROS2. Strong understanding of motion planning, robot control, computer vision and perception systems. Experience training and deploying machine learning models. Familiarity with transformer architectures, reinforcement learning, imitation learning or robot learning techniques. Strong problem solving skills. Comfortable working in a fast moving startup environment. Nice to Have Experience working on embodied AI or robotic foundation models. Publications or significant contributions within robotics or machine learning. Experience with manipulation, mobile robotics or industrial robotics. Experience taking robotics products from prototype through deployment. Interest in energy and industrial automation. Benefits Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees

Data Scientist - fixed term contract Are you a data scientist who wants to work with real world NHS data to answer meaningful clinical questions? Join us to help shape a new model of care for women. Good To Know Due Date Apr 30th About Hesta Hesta is creating a new benchmark in women's health, delivering exceptional care at every life stage. As we advance towards this goal, we are committed to closing the women's health gap, beginning with pregnancy and postnatal as our initial focus. The Opportunity Hesta is building a new model of women's healthcare and our first mission is to reimagine care for mothers through compassionate care, clinical excellence, and technology. Today, postnatal care is fragmented, reactive, and often fails to identify ongoing health needs. We are developing a clinically validated, digital first assessment and triage system that identifies early clinical signals and routes women and birthing parents into appropriate care. We are looking for a Data Scientist (fixed term contract) to deliver technical feasibility work within an Innovate UK funded feasibility study assessing whether real world data can support clinical triage and predictive modelling for postnatal conditions. What You'll Do You will lead the data and technical feasibility work package, including: Define and execute extraction of a retrospective primary care cohort Clean, structure, and validate datasets from both product and NHS sources Identify early clinical signals at the 6-8 week postnatal check that predict longer term conditions Apply appropriate statistical and epidemiological methods (e.g., regression, survival analysis) Evaluate data quality, completeness, and limitations, and recommend improvements Work closely with clinicians to ensure outputs reflect real clinical reasoning Handle all data responsibly and within NHS information governance and UK GDPR requirements Produce clear, well documented outputs: clean datasets, analysis code, and a final feasibility report that a clinician and a funder can both read and trust Move quickly. We're a small team with a fixed timeline and genuine ambitions - we need someone who can hit the ground running What You'll Bring Hands on experience working with real world health data, ideally GP EHR data from systems like EMIS or SystemOne Strong skills in Python or R - you should be genuinely proficient, not just familiar A solid grounding in retrospective cohort design and the statistical approaches that go with it: regression, survival analysis, handling missingness and confounders Enough understanding of NHS information governance to work with pseudonymised patient data correctly and confidently The ability to explain what you found and why it matters to people who aren't data scientists - that includes clinicians, project team, and eventually funders A proactive mindset. You'll need to spot the problems, flag them early and propose solutions Genuine curiosity about the clinical questions behind the data, not just the method Experience with postnatal, maternal or women's health data specifically Familiarity with SNOMED CT or Read codes used in primary care records Written up findings before - internal reports, publications, or anything that shows you can go from analysis to narrative The Practicalities Contract: Fixed term, part time (hours flexible, on average 2 days per week across the period) Duration: 6 months (some flexibility in duration; other opportunities may arise) Location: London Start: ASAP Company Benefits A front row seat in an early stage, mission driven company to build the backbone of a healthcare service designed specifically for women Join a small, mission driven team where your contributions have immediate impact Direct exposure to building a real health economic case for health system adoption Close mentorship from founders with experience across NHS, Babylon Health, and scaling health tech businesses Opportunity to work on a live, funded project with real impact Flexible, hybrid working; our team work is based on the job that needs to be done, not office facetime Office facilities: spacious working space, with other innovators in Victoria, bike storage, changing facilities and a healthy supply of tea/coffee

At Purple Dot , our vision for e-commerce is simple: Everything that gets made, gets sold. Nearly 1 in 4 products is never sold - leading to major losses and massive waste within the industry. We believe this problem exists because of lack of control and flexibility over when brands can sell - with long, fixed timelines where brands have to wait until stock is at the warehouse to start selling. It's time for a radical shift in how e-commerce operates. Purple Dot is pioneering the pre-commerce category : helping brands sell earlier - before inventory arrives - to increase sell-through, reduce waste, and drive profitability. Whether stock is 1 day or 1 year away, our platform enables smarter, faster sales that reduce risk and unlock new growth. Trusted by over 100 leading brands including Mattel, McLaren, New Era, Limited Run Games , and Oh Polly , we process millions in pre-orders every month and are proudly leading the category out front . Backed by top investors like OpenOcean, Connect, and Unusual Ventures , we're a 22-person team based in NYC, Charlotte, and London - and led by second-time founders with a track record of acquisition . The Job As a Senior Full Stack Engineer, your goal is to grab ideas for new features for our pre-commerce platform and turn them into reality, as quickly and with as much quality as makes sense at the time. You work on all shopper and merchant facing features of Purple Dot and implement them fully (there is no frontend/backend/infra split). In practice this means that one week you will be working on our shopper facing checkout, next week it might be the interactive merchant dashboards or one of backend APIs, integrations or data products. You work closely with the rest of our (small - 6 people, all in London) engineering team on scoping, breaking down and planning the implementation, then shipping the required code independently or leading a small temporary team formed for the duration of that project. You participate in our lightweight process - code reviews, frequent deploys and daily standups. Have a look here to learn more about our engineering culture You keep in mind the availability, stability, and security of our services as we scale the number of merchants and transactions through the next two orders of magnitude. Like every other engineer you support the software we build, including out of hours (on a predictable schedule, no more than 1 week/month). Why we think you'll love working at Purple Dot Work with the founding members of a fast-moving, flexible, and focused team that has already taken one startup from an idea to a successful exit. You'll have an opportunity to learn and grow very quickly, working alongside an unusually experienced team (senior and staff+ only). We have reached product market fit, our business is growing 3x+ YoY and we have committed customers that contribute to a cohesive and pointed product roadmap. Have a direct impact on our merchants and shoppers with everything you build, and spend a lot of time on writing and overseeing complex changes to core features instead of keeping the lights on. We are all in this for the journey and the experience and like to make it fun. What you'll need to be successful Have the willingness and the ability to own complex and impactful features throughout their whole development lifecycle. Be product-focused and have a pragmatic approach to engineering, prioritising delivering value to our customers. Have a desire to quickly release and iterate - you are happiest when the things you build go live. Have a growth mindset An open mind and a willingness to stretch yourself and to learn new skills. As we scale we are discovering every day what does and does not work - you'll need to be comfortable with learning from failure. Write and talk about complex ideas - and their progress - with technical and non-technical stakeholders Listen and guide other engineers to reach consensus 5+ years of working on frontend and backend systems exposed to the public. We are looking for someone with battle-hardened experiences of: Writing applications that interfaces with large SQL databases - we use Postgres. Running applications on cloud platforms (we use AWS). Integrating 3rd party software into a user facing software stack. Familiarity with frontend frameworks - we use React.js/Next.js. Either good existing knowledge or ability to pick up TypeScript very fast - we are a polyglot team but majority of our code is in .ts. Experience with e-commerce platforms like Shopify or Salesforce and their app eco-system. Experience integrating with e-commerce ERPs, OMSs and 3PLs. Experience with payment infra such Stripe or Paypal. Experience with analysing data and building data-heavy features, or working on data warehousing and data analysis tooling. Experience building applications that integrate into 3rd party websites. Equity options so that you can share in Purple Dot's success. £1500 per year to work out of our US office for a week. £1000 per year to spend on your own holidays. £1000 per year to spend on your own learning and development. £250 per year to spend on products sold through Purple Dot. Company MacBook Pro delivered in time for your first day. Sometimes there's free food, sometimes there's free travel. How we interview We run a simple process that we aim to go through in just a few days (1h) Meet with Ryszard our Head of Engineering to learn more about each other and this role. (1h) Conversation about your current work - expect this to go into a lot of technical detail. (2h) Final stage when you will pair with us on a System Design exercise. In our London office or over Zoom, the choice is yours. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. Join Purple Dot and be a part of a team that is reshaping the future of retail. If you have a passion for driving customer success and want to make a meaningful impact, we'd love to hear from you!

Duku AI in London is seeking a Machine Learning Engineer to innovate in autonomous software testing. You'll design systems to ensure AI software reliability, collaborating with talented founders from giants like Meta and Uber. This role focuses on creating new models, shaping team culture, and leading meaningful projects. Ideal candidates will possess deep technical expertise, a passion for AI, and an instinct for elegant solutions. Join us to redefine software quality and trust.

Most ML roles optimise models in isolation. This one builds the intelligence layer that determines whether AI-generated software can actually be trusted in production. AI is rewriting how software gets built. But shipping still breaks on testing. Engineering leaders are desperate to release faster without dropping quality, and they can't get there with manual QA or brittle test automation. Here's the bigger shift: as AI writes more of the code, the bottleneck moves from generating software to trusting it. Nobody owns that trust layer yet. Duku is building it, autonomous agents that simulate real users, catch critical failures before production, and self-heal as the product evolves. Backed by experienced operators and investors, we're building what we believe will become a core layer of the modern software stack. We're looking for an exceptional Machine Learning Engineer to help build it. Not someone to tune existing models. Someone to design new ones. You're not joining a QA team. You're joining a mission to make broken software a thing of the past. At Duku AI, we're building the next generation of autonomous testing agents - systems smart enough to understand what your product is supposed to do, find where it fails, and fix themselves when the codebase changes. No flaky test scripts. No brittle selectors. No 3am pages because a deployment broke something no human thought to check. As a core member of our team, you'll work at the intersection of AI systems, developer tooling, and product engineering. You'll own meaningful problems end-to-end - from shaping how our agents reason about software behaviour, to ensuring our platform scales across the world's most demanding engineering teams. This is a high-autonomy role. You'll collaborate directly with founders who have built and scaled infrastructure at Meta, Uber, and Deliveroo. You'll move fast, think deeply, and ship things that matter. What you'll do: Design and build systems that make autonomous software testing a reality at scale Work closely with engineering and product to define how AI agents interact with real-world codebases Own your work from first principles through to production - with full context and full accountability Shape the culture, processes, and technical standards of a team that's serious about craft What we're looking for: Deep technical ability and an instinct for elegant solutions to hard problems Someone who raises the bar around them - for quality, for thinking, for execution A builder who thrives with ambiguity and ships with conviction Curiosity about AI, autonomous systems, and the future of developer tooling If you've ever been frustrated watching slow, manual QA block great engineering - this is your chance to fix it.

Remitly is a leading digital financial services provider for immigrants and their families in more than 170 countries. The Treasury team manages global funding operations, optimising liquidity, managing funding corridors, and ensuring capital availability where needed. About the Role The role reports to the Head of Treasury Analytics & Data Science (London) and is based in London (hybrid). We are seeking a builder who can move fast from idea to production-owning agentic systems end to end to increase the operational capacity of the Treasury team. The position sits at the intersection of large language models, Treasury operations, and data infrastructure. Key Responsibilities Build Treasury Agent Automation for cash flow monitoring agents: intraday cash position tracking, reconciliation, variance flagging, and automated daily reports across accounts and currencies. Build funding execution agents: instruction routing, approval workflows, payment scheduling, cut off monitoring, and settlement tracking encoded with business rules and risk parameters. Build narrative agents: auto generated end of day and intraday funding commentary, exception summaries, and context aware alerts delivered to the right stakeholders. Run discovery to deployment pipeline: work with Funding operators to identify manual tasks, then ship agents that eliminate them-reporting packs, utilisation dashboards, liquidity summaries. Embed within the Funding team at the outset, running existing workflows end to end alongside operators to develop a firsthand understanding of day to day processes, limits, and pain points before a single agent is scoped or built. Build reusable, modular agent components and tool libraries that scale as Remitly expands into new markets and corridors. Contribute to Treasury wide agent governance standards, evaluation frameworks, and shared infrastructure. Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve. Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury Agents. Qualifications Advanced proficiency with coding agents across complex development scenarios. Experience architecting multi service systems, including complex persistence, integrations, and scaling. Understanding of distributed systems trade offs and cloud based infrastructure design. AI tool fluency: orchestrators, automated workflows, comprehensive evaluation pipelines. Advanced systems architecture expertise across the full technology stack. Proficiency in customer discovery techniques and ability to connect technical work to business outcomes. Competence with design thinking, analytics tools, and funnel analysis. Experience guiding others on AI first development approaches. Expertise in experiment modelling, funnel analysis, and data informed decision making. Track record of mentoring others and elevating team capabilities. Nice to Have Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity). LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba). Startup, founder, or cross functional multi product experience. Benefits Paid vacation days. Health insurance. Commuter benefit. Employee Stock Purchase Plan (ESPP). Mental health & family forming benefits. Continuing education and corridor travel benefits. Remitly is an equal opportunity employer and complies with all applicable laws and regulations. We celebrate diversity and are committed to creating an inclusive environment.

Head of IT Location: Remote in the US or Canada, frequent travel to San Francisco needed Reports to: SVP of Engineering Team: You'll manage an IT Operations Engineer, with scope to grow the team as needs scale The Opportunity We're looking for a Head of IT to build and lead IT Operations as a strategic function at Sanity. This isn't a keep-the-lights-on role. We need someone who sees IT, compliance, and procurement as levers for competitive advantage-someone who will proactively drive initiatives that help the entire company move faster. You'll own the systems and processes that enable our team members in Oslo, London, San Francisco, and across North America and Europe to do their best work. You'll turn compliance from a necessary burden into a genuine asset that accelerates enterprise sales. You'll approach procurement not as cost management, but as a way to level up every team by getting them the right tools and partnerships. The right person will be obsessed with using AI and automation to build operations that scale. We're a 240-person company that should feel like it has world class operational infrastructure while staying stage appropriate. Manual processes should keep you up at night. What You'll Own IT Operations Build AI powered workflows that make onboarding, offboarding, and day to day IT support nearly invisible Design self service systems that scale with the company without requiring proportional headcount growth Own the device lifecycle with automation first thinking: provisioning, deployment, recovery, and secure disposal Manage identity and access across our SaaS stack with security and usability in balance Create operational infrastructure that makes a 240 person company feel like it has Fortune 500 support Procurement & Vendor Management Act as a sparring partner to teams in selecting tools-a center of excellence that helps identify, evaluate, and adopt the right solutions Multiply procurement effectiveness across the company: structured processes, faster decisions, better vendor outcomes, reduced friction Build vendor relationships that give us startup agility with enterprise grade capabilities Own AI tool strategy and spending (OpenAI, Anthropic, etc.), moving us from credit card chaos to strategic partnerships Compliance & Security Transform compliance from a checkbox exercise into a sales accelerator that wins enterprise deals Own and execute our SOC 2 certification end to end with efficient, automated evidence gathering Turn RFI and security questionnaire responses into a competitive advantage-fast, thorough, repeatable Proactively manage sub processor documentation, particularly for AI tools, so new capabilities don't create sales friction Build a security posture that enterprise customers trust and that doesn't slow down internal teams Strategic Leadership Define and drive the IT Operations roadmap as a peer to other company leaders Build an IT operations strategy that scales from 200 to 500+ employees without linear headcount growth Partner with SRE and Engineering to create a cohesive infrastructure and tooling experience Measure and communicate the impact of operational improvements on company velocity What We're Looking For Experience 7+ years in IT, with at least 3 years in a senior or leadership role Hands on experience managing IT for a distributed, global team ( people) Able to manage and procure upwards of 50+ vendors, owning a budget in the 7 digits Track record implementing and maintaining compliance frameworks (SOC 2, ISO 27001, GDPR) Experience with enterprise sales support in a B2B SaaS company-you've answered RFIs and security questionnaires Proven ability to reduce IT operational burden through automation Technical Skills Deep knowledge of modern SaaS administration (Google Workspace, Okta/SSO, MDM solutions) Experience with IT service management and ticketing systems Understanding of cloud infrastructure basics (GCP strongly preferred, AWS/Azure an asset) Familiarity with security tools: endpoint protection, vulnerability management, SIEM Comfort with scripting and automation (Python, Bash, or similar) Nice to Have Experience with AI tooling administration (API key management, spending controls, sub processor documentation) Familiarity with service catalog tools like Backstage Experience supporting engineering heavy organizations What Success Looks Like First 30 days: Map the current operational landscape, tooling, and pain points across all departments Review and improve onboarding/offboarding processes for employees and consultants Build relationships with stakeholders in Engineering, Sales, Finance, and People Prepare and execute on SOC 2 Type 2 audit First 90 days: Establish enterprise agreements with key AI vendors, ending ad hoc spending Deliver quick automation wins that demonstrate what's possible Audit compliance posture and create a roadmap for turning it into a sales asset First year: Operational infrastructure scales efficiently, with automation handling growth Clear metrics show how Operations contributes to company velocity Compliance is a competitive advantage: RFI responses are fast, thorough, and help close deals Execution plan for expanding SOC 2 Type 2 audit period from 3 to 6 12 months What we can offer Competitive salary and equity in a high growth Series C company Flexible remote work environment Comprehensive health plans and perks A positive, trust based culture that encourages long term professional and personal growth A highly skilled, inspiring, and supportive team A global, multi culturally diverse group of colleagues and customers Our Commitment to Inclusion We're building a team that reflects the diversity of content creators worldwide. We evaluate candidates on demonstrated skills and experience rather than credentials alone. If you need accommodations at any stage of the hiring process, let us know-we're committed to removing barriers and creating an equitable experience for all candidates. How to Apply Submit your resume. No cover letter required. We'll review applications on a rolling basis and reach out to schedule an initial conversation. Who we are Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like VPEngine, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we hel ved, and we love type two fun! Read more about our values here! Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

About us We're a London-based neurotech startup developing non-invasive devices to treat brain disorders using ultrasound. We've developed a category defining technology platform, and we're now scaling our team to bring this technology to patients faster. More than a billion people live with a brain disorder, and for many of them today's options are not good enough. Drugs work for some and fail others, often with serious side effects. Surgical treatments like deep brain stimulation are effective but invasive, and only available to a small fraction of those who could benefit. Non-invasive alternatives like TMS exist but can only reach the surface of the brain. Our platform makes it possible to focus ultrasound precisely on deep brain structures - non invasively, safely, and repeatedly. We think that changes what's possible in brain therapeutics. We build medical devices for people from every walk of life, and we believe our team should reflect the patients we serve. We strongly encourage applications from women, people from Black, Asian and minority ethnic backgrounds, and others underrepresented in deep tech engineering. Different perspectives genuinely make our products better. About the role We're hiring a Software Engineer to work directly alongside our technical founders to build out our stack - from embedded firmware controlling the hardware, through the scientific computing and treatment planning code that makes the device work, up to the applications clinicians and researchers actually use. You'll be an early software hire, partnering on long term architectural decisions and growing into a technical leader as the team expands. The role is deliberately broad: low level hardware control, real time signal processing, scientific algorithms, device control software, user facing applications, and the test and tooling infrastructure that holds it together. It is not web, cloud, or SaaS work. A note on AI tools We expect everyone here to use AI coding tools well - Claude Code, Cursor, Copilot, agentic workflows, whatever ships your best work. We see them as a force multiplier, and the engineers we're hiring are the ones using them to ship more and learn faster than was possible two years ago. What we're not hiring for is the inverse: someone whose code only works because an AI wrote it. Our codebase has to satisfy regulators, run safely on hardware that interacts with people's brains, and implement specific scientific algorithms correctly. Every line you ship has to be one you understand, can defend in a design review, and can debug when it breaks at the wrong moment. AI helps you go faster - it doesn't replace the judgement. What we're looking for 2-4+ years shipping production software in industry, or equivalent through an applied PhD/postdoc in robotics, bioengineering, computer science, or a related field - titles vary; what matters is what you've built and how deeply you understand it CS, Software Engineering, Electronics, Physics, or related background - or equivalent demonstrated through the code you've shipped Working proficiency in a systems language (C, C++, or Rust) for embedded and performance critical code Working proficiency in Python for scientific computing, tooling, and higher level application code Solid software engineering fundamentals: version control, code review, testing, CI, documentation Comfortable interfacing with hardware - sensors, actuators, communication protocols, signal acquisition - or keen to learn Experience contributing meaningfully to a non trivial codebase (multiple modules, real interfaces, real users) Fluent with modern AI coding tools and the judgement to know when not to lean on them Genuine generalist - happy moving between a firmware bug, a numerical algorithm, and a UI in the same day Bonus Experience building software in regulated environments (medical devices, aerospace, automotive) and working within a QMS or IEC 62304 style lifecycle Background in scientific computing, signal processing, numerical methods, or wave physics Real time systems, embedded RTOS, or DSP experience Open source contributions, technical writing, or personal projects that show breadth and depth Familiarity with safety critical or test rigorous development cultures What you'll work on Embedded firmware for our device hardware, including real time control and safety critical paths Scientific software: treatment planning algorithms, signal processing pipelines, and simulation tools Device control software and user facing applications for clinicians and researchers Integration with sensors, actuators, and external recording systems (e.g. EEG, motion tracking, imaging) Testing, tooling, and CI infrastructure The software side of our QMS - design controls, traceability, verification Long term architectural decisions, partnered on with the CEO and CTO Why join us Active support for your growth into a technical leader, working closely with experienced engineers who've built complex systems before Genuinely high impact work: the code you write goes into a device intended to treat brain disorders Hard, interesting problems across embedded systems, scientific computing, and systems integration A small, ambitious team that takes engineering seriously Compensation and working pattern £65-85k base salary, depending on experience Share options In person role at our London office We welcome applications from candidates requiring visa sponsorship. For successful candidates, we will cover the initial visa application fee and Immigration Health Surcharge for the main applicant.

About the job We are on a mission to help people live more creative and fulfilled lives through joyful learning experiences. As a team we see ourselves as lifelong learners, not afraid to experiment or make mistakes, while living out our values of bringing joy, building confidence, leaving a positive impact and celebrating life. About Create Academy We believe that learning from people who are brilliant at what they do is empowering. Through beautifully produced video courses, Create Academy offers access to instruction from some of the most inspiring designers, gardeners, growers, chefs, artists and makers working today. About the role We are seeking a Mid-Level Full Stack Ruby on Rails Software Engineer to help create engaging learning experiences for our web app and a soon-to-be-announced project. Leveraging your expertise in AI-enabled engineering, you will champion all development work from concept stage through to feature completion. You'll gain a deep understanding of Create Academy's customers and use this insight to drive technical excellence and communicate that process and thinking to the founders and wider product team. Tech Stack Current: Rails 8.0, + Sanity Flexibility: You'll work closely with the CTO to evolve the architecture Required Experience 5+ years Ruby on Rails production experience AI-enabled engineering Full-stack development with modern JavaScript frameworks PostgreSQL, RESTful APIs, background jobs (good_job) Payment systems (Stripe) Team leadership and architectural decision-making Bonus - brightcove or video, saas Key Responsibilities Lead technical direction and architecture decisions Own the entire codebase as the primary developer Implement new features while improving existing code Work with UX, design and growth teams Utilise latest Ai tooling to streamline processes What Makes This Role Unique Full technical ownership and autonomy Direct impact on product direction Small team, big responsibility Freedom to choose the best technical approach Working at Create Academy is fast paced and challenging, but also incredibly rewarding within a supportive team environment. Please note this is a hybrid role that requires occasional in office attendance in London, UK. About you We're looking for someone who can take ownership, make smart technical decisions, and isn't afraid to refactor when needed. Be a proactive and self-motivated team player with a problem-solving mindset, exceptional communication skills, research experience and a desire to continually learn and develop. A highly organised individual who happily works both independently and collaboratively, excels in a fast-paced environment, enjoys helping people and is unafraid to contribute innovative ideas to help drive Create Academy's growth. Benefits £55K to £65K starting salary (depending on experience) with a pay review after 6 months 25 days annual leave plus bank holidays and a day off for your birthday Flexible working hours available Enrolment in the company pension scheme Regular company-funded social and cultural activities Flexible working locations from anywhere in the world for certain weeks of the year Hybrid working from home or office role Requirements added by the job poster 4+ years of experience in Engineering Commute to this job's location No need for visa sponsorship 1+ years of work experience with Generative AI Tools 4+ years of work experience with Ruby on Rails

Fractile builds silicon, systems, and software to break through the memory wall, the fundamental hardware constraint standing between today's AI and what comes next. The frontier of AI is no longer a research problem. The tasks AI can complete are doubling in complexity every six to seven months and the tokens required to complete them are scaling with it. Sequential reasoning, the kind that can't be parallelised away, means the internal clock speed of inference systems is the critical constraint. What stands between where we are today and the future potential of AI isn't smarter algorithms; it's the hardware to run them fast enough to matter. Today's chips are hitting their wall. We're rebuilding the ones that don't. Fractile is seeking to increase the clock speed of global progress, one chip at a time. Key Responsibilities Create and support tooling and workflows centred around EDA tooling, which will require coding and build-system knowledge to assist with tasks faced by different teams. Add build system support for new EDA tools required throughout the chip lifecycle. Create and improve developer tools across frontend and backend silicon teams. Improve existing workflows to make them cacheable and reproducible. Deploy, and maintain compute infrastructure (in either the cloud or on-premise) using an infrastructure-as-code (IaC) framework (Ansible/Terraform). Setup and monitor observation tooling for resource utilisation, machine failures, and more (e.g. Prometheus/Zabbix). Work with the engineering team to build and optimise their workloads. It would be great if you have Experience with EDA tooling. Experience working with build systems such as Bazel. Experience working with workload management tools such as Slurm. Experience working with container orchestration tools such as Docker and Kubernetes. Experience working with infrastructure as code such as Ansible or Terraform. Preferred Qualifications Proficiency in modern software development language(s) and infrastructure-as-code frameworks. Past experience diagnosing and resolving network/storage/CPU/RAM bottlenecks across complex workloads. Experience deploying and managing a grid compute system (Slurm/LSF/SGE). Proficiency with containerisation frameworks (Docker/Singularity). About Us Founded 2022, we're 100+ people across London and Bristol in the heart of the UK's frontier AI ecosystem, and growing fast. We've recently raised $220 M from Accel, Founders Fund, FactorialFunds and a number of the world's leading deep tech investors. Our team brings deep experience from Arm, Google DeepMind, Apple Silicon, Qualcomm, and others, who've shipped silicon and scaled systems at the frontier before. We're a culture built on deep curiosity, technical fluency, and humility, looking for the kind of entrepreneurial instinct that finds the motivating rather than the daunting. We offer competitive salaries, meaningful equity, and benefits such as private healthcare and pension plans. We believe the hardest problems get solved by the broadest range of minds and actively encourage applications from underrepresented groups in hardware and software engineering. Hybrid working: 2-3 days in our London and Bristol offices. Export Controls Our work involves technologies subject to UK and international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process.

London About Indicium AI Indicium AI was Anthropic's first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. The Role This is a technical leadership role at the centre of our Forward Deployed AI Engineering practice. Reporting to the CTO, you will lead a team of Forward Deployed AI Engineers who embed directly with our most strategic clients to ship production AI systems that solve real business problems. You will own how we show up in the market - from the quality of individual engagements to the patterns and playbooks that let the practice scale. This means managing hands-on technical delivery in enterprise, shaping architecture on complex engagements, developing vertical fluency across the team, and partnering with Sales to shape the pipeline. It is a player-coach role: your primary impact will come from the people you hire, the standards you set, and the culture you create - but you will stay close enough to the work to review architectures, unblock production issues, and pair with your team when it matters. You will work directly with clients at the most senior level, with Anthropic teams, and with Indicium AI leadership to define the direction of our AI engineering practice. The best FDE leaders we have seen do not just run a team - they define what good looks like, and they build the organisation that delivers it consistently. What You Will Do Lead, hire, and develop a high-performing team of Forward Deployed AI Engineers - setting a high bar for technical talent, client instincts, and delivery quality Own the technical and operational bar for AI engineering engagements - reviewing SOWs, shaping architecture on complex deployments, and ensuring your team ships production-grade systems Build the playbooks and repeatable patterns that turn one-off successes into a scalable, long-term customer engagements Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between strategic conversations with C-suite stakeholders and debugging sessions with your engineers Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - ensuring credibility with domain-expert clients Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts Work alongside Anthropic field teams on joint engagements - representing Indicium AI at the highest level and influencing partner product direction through field insights Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member Drive knowledge sharing and raise the bar for the practice through codified patterns, internal training, and a culture of engineering excellence What We Are Looking For 8+ years in technical roles with at least 3 years leading engineering or delivery teams - in forward deployed engineering, technical consulting, applied AI, or solutions architecture Production experience building AI applications including agentic systems, multi-agent orchestration, advanced RAG, evaluation frameworks, and deployment at scale in regulated enterprise environments A track record of building teams from early stage - hiring, developing, and retaining strong engineers, not just inheriting an existing organisation Experience working directly with enterprise clients on technical implementations, including comfort navigating complex organisational dynamics, procurement, compliance, and resistant stakeholders Executive presence - you can hold your own in a C-suite conversation and translate technical complexity into clear narratives for diverse audiences Strong Python proficiency and genuine comfort with production code - you are a builder at heart Vertical depth in at least one of Financial Services, Energy, or Healthcare High agency and comfort with ambiguity - you have built something from zero before and know what it takes Nice to Have Former technical founder or CTO - you have built products and teams under commercial pressure and client scrutiny Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level External presence - writing, speaking, or thought leadership in the AI Engineering space Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model

Right now, who gets funded depends on who you happen to know. If you're in Silicon Valley with the right warm intros, you raise. If you're a brilliant founder in Lagos, Karachi, Bogotá or anywhere outside the default networks, you spend months in cold email purgatory, regardless of how good your company or non-profit is. IRIS is rebuilding that. She's a personal AI fundraising agent for the most exceptional founders. She gets to know each founder, their stage and what they're raising, then makes the warm introductions that move their round forward. IRIS works both sides of that connection. For investors, she's signal: a stream of qualified, pre-vetted founders matched to their real thesis, with the warm path already mapped, and far less noise than their inbox. The founders get access; the investors get the right founders in front of them. Underneath, IRIS is a relationship intelligence layer, part network operating system, part CRM, part autonomous agent, that learns from every interaction and gets sharper the more the network uses her. She lives where founders and investors already work, across email, WhatsApp, phone and web. We're starting with women founders in Europe, and building toward every founder, in every market, who has been raising on the wrong side of the network. We're looking for a Founding CTO to lead the technical build of IRIS, shape product and architecture from day one, and grow the engineering team as the company scales. Tasks Translate real-world network behaviour into structured data and intelligent, AI-driven workflows Own the product architecture from MVP to scale across email, WhatsApp, phone and web, on a secure, serverless cloud foundation Design AI systems with a strong focus on safety, fairness, privacy and transparency, ensuring recommendations and matching logic are responsible, explainable and free from harmful bias. Implement best practices for AI governance, model evaluation and responsible data usage as the platform scales Understand user requirements and work with the CEO to build the technical strategy and roadmap Be hands on and build and lead the engineering team as the company grows Requirements Strong AI engineering background, with hands-on experience building and scaling AI or data-driven products in production Experience building trustworthy AI products, including model evaluation, bias mitigation, privacy-preserving systems and safe deployment practices Deep technical familiarity with modern cloud and serverless infrastructure Ability to move fast from zero to one with limited resources Product-minded engineer who understands user behaviour and real-world workflows (you prioritise frictionless data capture over clunky UI layers) Comfortable with ambiguity and shaping technical directionExperience in the venture ecosystem is a strong advantage Willing to work close to European hours Benefits Build a product that meaningfully changes who gets funded Shape a new category of AI product, one that lives where people already work and acts on their behalf, not behind another chat window Founding equity, high ownership, real impact Work directly with a founder who has built and raised VC capital before (Cellcraft, Series A in progress) Shape the technical and ethical foundations of the product from day one The way capital gets allocated today is inefficient and unfair. The best founders don't always get funded; the best-connected ones do. That's a routing failure, and it has real consequences for which companies get built and which problems get solved. IRIS is an attempt to fix it at the infrastructure level. We're opening access to networks that were closed, routing capital toward fit and merit rather than proximity, and moving founders forward with the coaching and preparation they need to actually succeed once they get the meeting. Done right, this changes who gets funded, and that changes what gets built.