27 jobs found

At the company, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we're serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration. We're currently expanding our engineering teams in London and looking for experienced Tech Leads. This is an individual contributor role with technical leadership scope, it's not a people management position. You'll drive the development of infrastructure features that shape our product's future from UI to database. It is a hybrid role based in our London office in Fitzrovia, with 3 days per week on-site. About the Team Our CRM group is expanding into a new, strategic area of the platform - and this is a rare opportunity to help build it from the ground up. The team is working on a product that doesn't fully exist yet, which means you'll be involved in shaping direction, validating ideas quickly, and driving them through to implementation, not just executing on a defined roadmap. It's a high-ownership, high-decision-making environment where you'll work closely with Product and GTM teams to deeply understand customer needs and translate them into something real. AI is central to the vision, not an afterthought - we're designing for where the space is heading over the next few years, not just optimising for today. We're a collaborative, full-stack team (Node.js and React) based in London, and we thrive on people who bring strong product sense, a bias for action, and the kind of founding-engineer mindset that's comfortable with ambiguity and energised by it. About the role You'll work with experienced and highly talented engineers who are passionate about what they do, using cutting edge technologies in a data- and impact-driven environment. We foster a culture of transparency, full ownership, teamwork, and a no-ego policy. Our engineering department consists of multiple groups, each responsible for a critical domain within the company product. With over 400 engineers, we operate in cross-functional teams, collaboratively defining, improving, building, and delivering features. What you will do Play a key in shaping our product architecture and engineering excellence. Evolve our architecture and engineering practices to support the ever-growing scale of users, features, and data. Work alongside experienced and highly skilled developers with cutting edge technologies. Collaborate closely with Product and Design teams, taking full ownership and responsibility from conception to post deployment in a fast paced, dynamic environment. Tech stack: React.js, Redux, Node.js, Ruby on Rails, AWS, Elasticsearch, Redis, MySQL. Prior experience with our tech stack is not required; we welcome people willing to learn. Requirements 6+ years of experience as a Software Engineer. Strong technical expertise with a proven track record of building products that people love and use daily. Full stack development experience, with a primary focus on backend. Experience developing large scale, user facing web products. Deep product understanding and a passion for creating software that delivers an exceptional user experience. Strong team player with excellent communication skills and empathy. Commitment to quality and simplicity in engineering and product development. Domain experience in adtech or martech is extremely beneficial but not a dealbreaker. 0-1 product development experience - hugely advantageous. What the company can offer you Opportunity to join a well funded, publicly listed company with big ambitions and strong growth potential. Competitive base salary, bonus, and RSUs. Private healthcare insurance, critical illness, and life insurance coverage. Pension contributions matched up to 7%. ClassPass membership. Buffet breakfast and lunch provided at the office, Monday to Thursday. Fully dedicated learning and development team that provides opportunities for employees to hone and gain new skills. Fun team events, socials and offsites. Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! We've been named "Best Place to Work" in the UK. A global, dynamic and passionate environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Warsaw, Sydney, São Paulo, and Tokyo.

About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development - and Multiverse is in a uniquely strong position to do that. Getting it right has implications beyond the company: for the UK tech sector and the broader economy. The Scotland hub exists to make that real. A new engineering team with the mandate to build AI-native products, help modernise the existing platform, and set the practices that make Multiverse an AI-first company. Multiverse has built an environment where AI-native ways of working collapse the old boundaries, so one person can own the whole arc from idea to live product. As an AI Engineer at P6, you're a specialist and a core builder. You're the go-to person for your product domain - someone who can take a hard problem, make the right design calls within it, and ship something that works for real users. You won't be waiting for the work to be broken down for you. You'll work in a small, focused squad led by a Principal engineer, with full ownership of your slice of the system from design through to production. What You'll Do Own and deliver agent features end-to-end. Take a product problem - a coaching workflow, a content pipeline, a retrieval system - and build the agent feature that solves it. Architecture within your domain, implementation, evaluation, and production operation. You are responsible for it working, not just for your code compiling. Design context and retrieval strategies. Decide what goes into the context window and what stays out. Build retrieval pipelines, conversation memory, and summarisation logic that makes context useful rather than noisy. Understand the cost and quality trade-offs at every layer. Build and maintain evaluation frameworks. Define the metrics that tell the team whether its AI systems are doing what they should. Build automated eval pipelines and human-in-the-loop review processes. Treat evaluation as an engineering discipline, not an afterthought. Design tool integrations. Agents are only as capable as the systems they can reach. Build the tool layer: MCPs, APIs, data contracts, and the error handling that makes tool use reliable across the systems your agents interact with. Shape technical direction within your domain. You have strong opinions about how things should be built and you back them up. Contribute to design reviews, push back when the approach is wrong, and propose better paths. Your technical judgement shapes what gets built and how within your squad. Raise the bar through review and pairing. Review code with rigour and give feedback that makes engineers better. Pair with less experienced colleagues on hard problems and help set the standard for production-quality AI engineering on the team. What We're Looking For Production AI Engineering You've shipped AI-powered features to real users. You understand what separates a prototype from a production system: context quality, model selection trade-offs, token economics, reliable tool use, and evaluation that runs before you ship. You don't need multi-agent architecture at this level, but you build the systems that sit inside one. Depth in Your Domain You're a subject matter expert in at least one area of the AI engineering stack - retrieval, context management, evaluation, tool design, or backend systems that support agents. You can demystify that area for the team and make better decisions within it than most. Full-Stack Delivery You work across the stack - LLM integration, backend services, data pipelines, and enough frontend to ship end-to-end. You build with Claude Code daily, set context before generating, and review output critically. AI-native development is how you work, not a shortcut you reach for occasionally. Product Instinct You ask "what problem are we solving and for whom?" before "what framework should we use?" You talk to users, understand their workflows, and make calls about what's worth building without waiting for a spec. What Would Set You Apart Experience building AI systems in EdTech, regulated content, or domains where output quality has compliance or accreditation implications Background as a founding or early-stage engineer at a startup Experience with multi-agent coordination: task decomposition, handoff, and shared state Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards Published thinking or external contributions in AI engineering - talks, writing, open source Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

Founding AI Engineer Future Head of AI Venture-Backed FinTech Start up Equity Opportunity Manchester We're partnering with an ambitious, early-stage fintech business on a mission to transform how consumers engage with and improve their financial wellbeing. Having achieved strong early validation and entered its next phase of growth, the company is seeking a highly capable AI Engineer to become the first dedicated AI hire and ultimately build and lead the AI function. This is a rare opportunity to join at a formative stage, influence product direction, and create AI capabilities that sit at the heart of the customer experience. For the right individual, there is a clear pathway into a future Head of AI position, alongside meaningful equity participation. The Role This is not a traditional engineering role. You will operate as a builder, architect, and strategic partner to the founders, helping shape both the AI roadmap and the wider product vision. The business sees AI as a core differentiator, not an add-on feature. You will be responsible for designing, building, and scaling intelligent systems that enhance customer engagement, personalisation, automation, and decision-making. Key Responsibilities AI Product Development Design and deploy AI-powered customer experiences Build intelligent recommendation and personalisation systems Create AI-driven workflows that deliver measurable user value Rapidly prototype, test and launch new AI capabilities Agentic AI & Automation Design and implement agent-based architectures Build autonomous and semi-autonomous workflows Develop multi-agent systems where appropriate Leverage modern orchestration frameworks to improve customer outcomes AI Infrastructure & Architecture Build scalable AI foundations and pipelines Develop retrieval and knowledge-management systems Implement evaluation, monitoring and governance frameworks Ensure solutions are secure, reliable and production-ready Strategic Contribution Work closely with founders on AI strategy Help identify commercially valuable AI opportunities Influence product direction and roadmap decisions Act as the internal AI subject matter expert Future Leadership As the business scales, you will: Define the AI hiring strategy Recruit and mentor future AI talent Establish AI standards and best practices Build and lead the AI function What We're Looking For Technical Experience Software engineering or machine learning engineering Proven experience building production AI applications Strong Python engineering capability Experience deploying AI products into real-world environments Experience with several of: LLM applications Agentic AI frameworks Multi-agent systems RAG architectures Vector databases AI orchestration platforms AI evaluation and observability tools Model optimisation and fine-tuning Mindset We're particularly interested in individuals who: Thrive in startup environments Enjoy building from zero to one Think commercially as well as technically Are naturally curious about emerging AI capabilities Move quickly and take ownership Want to help build a company, not just a product Ideal Backgrounds Senior AI Engineer Lead AI Engineer Founding AI Engineer Applied AI Engineer AI Product Engineer Machine Learning Engineer (LLM Focus) AI Solutions Architect What's on Offer Competitive salary Meaningful equity opportunity Direct access to founders and strategic decision-making Significant autonomy and ownership Flexible working environment Clear progression pathway to Head of AI Why This Role? Few opportunities offer the chance to join at such an early stage and genuinely shape the future of a business. If you're excited by ownership, AI innovation, startup pace, and the opportunity to build a function from the ground up, we'd love to hear from you. Apply in confidence for a confidential discussion.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated Relocation support for those moving to our offices We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

We're really lucky to have an Engineering team spread across three jurisdictions working on the Hnry product. While that gives us the opportunity to hire great people globally, we're always keen to hear from those interested in joining our founding team in London.We're really proud of the team we've built so far, and while we're not actively hiring into the team right now, we're always keen to connect with great engineers who are interested in what we're doing - even if that conversation is for a little further down the track.As part of the team, you'd play a key role in building a polished experience for our customers, while helping evolve the systems that power the business behind the scenes.You'll work collaboratively across Product, Customer Operations, and Engineering to bring new features to life - from early concept through to releaseIf this sounds like something you'd be keen to be part of (now or in the future), we'd love to hear from you. Lead the identification and resolution of complex problems by actively engaging with customers and stakeholders across the business, driving innovative solutions Champion best practices in software development, setting a high standard for robustness, reliability, and performance while guiding the team to follow these practices Take ownership of delivering high-impact features from concept to production release, including ongoing performance monitoring and optimisation Ensure comprehensive test coverage for all work delivered and drive improvements in test practices across the existing codebase Conduct in-depth code reviews, offering constructive feedback and sharing expertise to elevate the team's technical capabilities Architect scalable, maintainable solutions for new features, clearly communicating design decisions and collaborating with the team to gather feedback Collaborate with cross-functional teams to align engineering efforts with broader business goals Act as a mentor and technical leader, providing guidance, support, and development opportunities for junior and intermediate engineers Matt - Head of Engineering Have at least four years experience working as a Software Developer Have exceptional communication and collaboration skills - we work together and succeed as a team Demonstrate strong problem solving abilities, breaking down complex challenges into actionable solutions while considering long-term maintainability Take proactive ownership of system performance, monitoring key metrics, identifying potential risks, and implementing effective solutions Approach challenges with curiosity, critical thinking, and a deep empathy for the end user, ensuring changes deliver meaningful impact Have significant experience with automated testing, including designing and implementing robust testing strategies to maintain code quality Bring a passion for technical and product design discussions, contributing innovative ideas and driving best practices across the team Have full working rights in New Zealand Bonus points for the following: Experience building large scale systems Experience being self-employed (freelancing, contracting etc) in any industry/profession Experience with Ruby on Rails How we work We follow agile practices, delivering improvements iteratively in small chunks. We track the impact of our work and measure ourselves on results, not the amount of code written We're growing fast, and are focused on building a well designed, scalable & robust platform. In some areas of the work (e.g. payment processing) there is very little margin for error Our technology platform is built in Ruby on Rails, and we also use a bunch of AWS services (via Terraform), Postgres, Docker, and a little bit of React We have automated tests, continuous deployment, and release to production multiple times per day We review each others code, and set aside time for hacking on experimental features, refactoring and/or learning new things We work hard and finish on time, no crazy hours Salary banding: £65,250- £74,000 per annum At Hnry, we operate a policy of pay parity across our organisation to ensure that all Hnry staff are fairly and equally compensated based on their contributions and experience. The salary for this role will be determined based on the applicant's experience.

We're really lucky to have an Engineering team spread across three jurisdictions working on the Hnry product. While that gives us the opportunity to hire great people globally, we're always keen to hear from those interested in joining our founding team in London.We're really proud of the team we've built so far, and while we're not actively hiring into the team right now, we're always keen to connect with great engineers who are interested in what we're doing - even if that conversation is for a little further down the track.As part of the team, you'd play a key role in building a polished experience for our customers, while helping evolve the systems that power the business behind the scenes.You'll work collaboratively across Product, Customer Operations, and Engineering to bring new features to life - from early concept through to releaseIf this sounds like something you'd be keen to be part of (now or in the future), we'd love to hear from you. Lead the identification and resolution of complex problems by actively engaging with customers and stakeholders across the business, driving innovative solutions Champion best practices in software development, setting a high standard for robustness, reliability, and performance while guiding the team to follow these practices Take ownership of delivering high-impact features from concept to production release, including ongoing performance monitoring and optimisation Ensure comprehensive test coverage for all work delivered and drive improvements in test practices across the existing codebase Conduct in-depth code reviews, offering constructive feedback and sharing expertise to elevate the team's technical capabilities Architect scalable, maintainable solutions for new features, clearly communicating design decisions and collaborating with the team to gather feedback Collaborate with cross-functional teams to align engineering efforts with broader business goals Act as a mentor and technical leader, providing guidance, support, and development opportunities for junior and intermediate engineers Matt - Head of Engineering Have at least four years experience working as a Software Developer Have exceptional communication and collaboration skills - we work together and succeed as a team Demonstrate strong problem solving abilities, breaking down complex challenges into actionable solutions while considering long-term maintainability Take proactive ownership of system performance, monitoring key metrics, identifying potential risks, and implementing effective solutions Approach challenges with curiosity, critical thinking, and a deep empathy for the end user, ensuring changes deliver meaningful impact Have significant experience with automated testing, including designing and implementing robust testing strategies to maintain code quality Bring a passion for technical and product design discussions, contributing innovative ideas and driving best practices across the team Have full working rights in New Zealand Bonus points for the following: Experience building large scale systems Experience being self-employed (freelancing, contracting etc) in any industry/profession Experience with Ruby on Rails How we work We follow agile practices, delivering improvements iteratively in small chunks. We track the impact of our work and measure ourselves on results, not the amount of code written We're growing fast, and are focused on building a well designed, scalable & robust platform. In some areas of the work (e.g. payment processing) there is very little margin for error Our technology platform is built in Ruby on Rails, and we also use a bunch of AWS services (via Terraform), Postgres, Docker, and a little bit of React We have automated tests, continuous deployment, and release to production multiple times per day We review each others code, and set aside time for hacking on experimental features, refactoring and/or learning new things We work hard and finish on time, no crazy hours Salary banding: £65,250- £74,000 per annum At Hnry, we operate a policy of pay parity across our organisation to ensure that all Hnry staff are fairly and equally compensated based on their contributions and experience. The salary for this role will be determined based on the applicant's experience.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit a mature SRE function, you'll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale. This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant. Key responsibilities Reliability & Platform Ownership Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments. Define and operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-Call Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents. Lead incident triage, escalation, communications, and root cause analysis. Translate post-incident learning into durable architectural or automation improvements. Continuously reduce alert noise and recurring operational burden. Observability & Operational Excellence Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health (not just infrastructure metrics). Improve deployment safety through better change management, validation, and rollback mechanisms. Automation & Tooling Build automation for cluster operations, training workflows, remediation, and scaling tasks. Implement self healing patterns and resilient recovery workflows. Harden CI/CD and release processes to improve deployment safety and velocity. Support infrastructure as code and policy driven guardrails to ensure secure, reliable cloud environments. About you In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we're looking for the following skills and experience. Essential skills Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems. Strong Kubernetes experience, including operating production clusters. Hands on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads. Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred. Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g., Python, Go, C++) with a bias toward automation. Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale. Experience designing and operating observability stacks (e.g., Datadog, Prometheus, Grafana, OpenTelemetry). Clear communication skills, including leading incidents, writing post mortems, and influencing teams to prioritise reliability improvements. Desirable skills Experience operating GPU backed environments or large scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Familiarity with infrastructure as code (e.g., Terraform) and secure cloud production environments. Experience defining and running SLOs/SLIs and building reliability programs across multiple teams. Experience as an early or founding SRE hire establishing processes from scratch. Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time. This is a full time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

Address United Kingdom Schedule Full time Job Type Contract freelancer Highlights Experience with Kotlin Multiplatform (KMP) Strategic instinct to think about platform future, not just current tasks Description Cera is the UK's largest HealthTech company and one of Europe's fastest-growing businesses - harnessing preventative technology and AI to take care out of Britain's hospitals and into patients' homes. Our 10,000 carers and nurses deliver around 2.5 million patient home visits a month - a volume greater than all A&E attendances across England. GenieConnect is a startup inside Cera, one of the UK's biggest home care providers. We build a remote care platform (companion robots, a care portal, mobile apps), that helps people live independently at home.The result of our initiatives: 96% medication compliance and around 10 hours of care saved per person per week. We're a small enabled team shipping a full-stack Kotlin platform (backend, web portal, Android robot app). We want someone who's comfortable with ambiguity, opinionated about quality, and motivated by shipping things that matter to real people - and who's happy pairing and swapping context with a founding engineer and our Ops team rather than working in isolation. Agentic coding is the norm across Cera and our default here: at least 70% of your code should come through Claude Code or equivalent. About the role You'll be the second senior engineer on a platform that's already live across local authorities and NHS pathways - pairing directly with the engineer who built it from scratch. The foundation is solid; what's ahead is the more interesting problem: more AI, more scale, new care pathways. You'll help set the engineering direction on a full-stack Kotlin platform, with the autonomy of a startup and the contracts and reach of a major care provider behind you. Responsibilities Small team, so you'll touch everything, working shoulder-to-shoulder with the current engineering team: Shape the technical roadmap with the existing dev team and the MD - architecture decisions, build-vs buy calls, tooling choices. We make these calls together, not in a vacuum. Ship full-stack Kotlin across the backend (APIs, data pipelines, NHS/LA integrations), the care portal (web), and the robot app (Android). Sit with ops. Understand how carers and care managers actually use the platform and build from that. Integrate AI capabilities like virtual AI calls, predictive alerts and falls detection. We work with AI partners and need someone who can wire it together end to end. Push agentic coding practices (Claude Code, Copilot, Cursor) so a small team delivers more than its size suggests. Keep the lights on: CI/CD, testing, observability, AWS. Small team, so you'll touch everything. Qualifications and Skills The codebase is Kotlin Multiplatform and that's where we want the leverage on this contract, so we're looking for a Kotlin-"first" full-stack engineer. Longer term we may be more stack-"agnostic". Backend: Ktor, Spring Boot, or similar. API design, databases. AWS: CI/CD, containers, infrastructure-as-code. Hands-on. Frontend: Kotlin/JS, Compose for Web. Willing to work across the full stack, Android included. You don't need deep mobile experience, but you're up for getting your hands dirty on the robot app when needed. Strategic instinct. You think about where the platform should be in 12 months, not just what's in the current sprint. Ops empathy. You care about how the product is deployed and used, and you go looking for that context. Agentic coding as your default. 70%+ of your daily work already runs through Claude Code, Copilot, or Cursor, and you can point to what that's enabled. Pace. You ship, you iterate, and you don't wait for permission. Carriers Real Weight Regulated industry experience in health tech, social care, or fintech. Not essential, but if you already understand compliance, data governance and audit trails you'll get up to speed faster. CQC, NHS Digital, or DTAC frameworks. IoT protocols and device management at scale. Building LLM-powered features in production and configuration. Background in robotics or assistive tech. Beyond the technical skills, we are looking for: AI-native by default. Claude Code, Copilot, Cursor - these are already how you work, not tools you're evaluating. You can point to what they've unlocked for you. Ownership instinct. You see a problem and take it. You don't wait to be assigned. Prioritise issues yourself and move them forward without needing handholding. Pragmatism. You ship the smallest thing that works, then iterate. Done beats perfect. Prioritise the work that delivers value fastest, then improve it from there. Business curiosity. You go find out how the work actually happens, not just how the spec describes it. Learning speed. The stack changes. You don't get attached to what you learned last year. Low ego. You can be wrong, change course, and give credit where it's due. Extra qualifications that will make you stand out: Regulated industry experience (health tech, social care, fintech, defence). Compliance and audit-aware engineering shortens ramp time. Building LLM-powered features in production, evals, drift monitoring, observability. Scheduling, matching, or constraint-solving algorithms at production scale. Tele-ICU-like, command-center, or supervised-automation systems from any domain.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role This is a senior, foundational role on a new team: you'll make architecture decisions the rest of the team builds on, and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good, or sitting with a research team that depends on your systems and shipping the fixes they need. We're looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. Anthropic's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or eliminate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more that you pick new tools up quickly than that you know our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from "rough task idea" to "task in a production training run" from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. The annual compensation range for this role is listed below. Annual Salary: 320,000 - 485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About 9fin 9fin is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. We're looking for a Staff Engineer to lead the technical vision and architecture for 9fin's New Markets engineering organisation. In this role, you'll define and evolve the system design that underpins our future expansion-owning the end-to-end architecture, setting technical direction, and ensuring our platforms scale effectively as we enter new markets. You'll create clear technical documentation, align multiple engineering teams around a shared vision, and guide execution by helping teams make thoughtful trade-offs. This is a high-impact, hands-on leadership role on the IC track. You'll operate across strategy and execution-partnering with 6+ teams, contributing directly to critical code paths when needed, and raising the engineering bar across the organisation. What you'll do Partner with other staff engineers to propose high impact engineering proposals. You will influence technical strategy, participate in technical governance and decision making. You align the technical vision with various stakeholders (primarily the engineering leadership layer). Design and scale backend services, APIs, and data platforms powering 9fin's new market products Work on complex entity mapping and data modelling challenges across new market's data sources Drive database decoupling and system modularisation to improve scalability, flexibility, and long-term maintainability You will review and guide architecture across teams, helping avoid unnecessary coupling and complexity while keeping teams focused on pragmatic, high-impact solutions. Dive into complex legacy systems, identify root causes of friction, and define a clear path to modernisation Deliver high-quality, reliable production code through testing, logging, and alerting Move between deep debugging and high-level system design to shape our platform evolution Set a high bar for engineering through hands-on coding and strong technical leadership. Leverage AI-assisted engineering to accelerate system understanding and delivery Establish best practices, guardrails, and tooling to improve engineering velocity and safety Ensure systems are scalable, reliable, and adaptable as we grow Partner closely with Engineering and Platform You will raise our technical bar by mentoring senior engineers, improving IC hiring and levelling practices, and helping shape how we develop technical talent across 9fin What we're looking for Proven track record of building and delivering backend systems from development to production, especially in data intensive environments Deep expertise in distributed systems, APIs, and data pipelines Strong experience with data modelling, entity resolution/mapping, and complex relational domains Familiarity with event-driven architectures, Kubernetes, and cloud-based infrastructure like AWS Experience in database decoupling, service-oriented architectures, or platform modularisation Proficiency in Python (or similar backend languages) Experience modernising legacy systems and improving platform architecture Proven ability to lead complex technical initiatives end-to-end Strong product and customer mindset Comfortable operating in ambiguity and driving clarity Skilled at balancing hands-on technical work with guiding and aligning others Communicate clearly and effectively with technical and non-technical audiences. Nice to have Experience as a founding engineer or CTO at a startup, or building systems from scratch in early-stage environments Benefits We're a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity options Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes Time off 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.

Machine Learning Engineer, NLP InsurTech, AI, Scale-up London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high growth, venture backed InsurTech scale up that is disrupting a massive $200 B global market. Using AI they deliver automation that is up to 3 faster than legacy industry standards allowing insurance companies to act quicker and save millions. The company has found a niche within a niche and is already proving to be valuable to some of the world's leading insurance firms. Because of this they have been backed by some of Europe's and Silicon Valley's most prestigious venture capital firms. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full time, office based role in Central London, joining a high intensity, mission driven team that thrives on high performance and rapid execution. Responsibilities Build intelligent systems that improve operational accuracy, accelerate assessments, and enhance user experience. Collaborate closely with domain specialists to translate complex, manual processes into AI driven workflows. Deploy, monitor, and scale machine learning solutions in a production environment. Help shape the technical culture and engineering team from the ground up. Work side by side with the founding team, learning exactly how to scale a business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics. A passion for high velocity deployment-you love shipping code quickly. Strong communication skills and the ability to collaborate effectively with non technical stakeholders. Comfort operating in ambiguous, rapid growth, and high velocity environments. Senior (5+ years of experience). Benefits Base salary up to £165,000. Generous, transparent equity participation. Comprehensive health insurance and pension contributions. 28 days annual leave (plus bank holidays). 30 days of remote working flexibility per year. Full Skilled Worker visa sponsorship available for the UK. Company Owen Thomas B Corp

We are seeking a Senior AI Engineer to join us as a key founding member of a greenfield team building transformative AI capabilities from the ground up. In this role, you will work across the full stack of Anaplan AI applications, solving unique challenges at the intersection of AI and enterprise software. By experimenting with the latest AI models and collaborating with talented data scientists and product designers, you will build cutting edge, user facing AI features that directly impact how global businesses plan and make decisions. Your Impact Contribute to the architecture and take ownership of the design, development, and deployment of scalable Generative AI and Machine Learning systems into production environments. Develop end to end GenAI features including backend API services, model integration, model monitoring, evaluations, and deployments. Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering and RAG implementation. Build cutting edge conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language. Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics. Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations. Optimise model inference pipelines for performance, cost, and scalability in production environments. Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour. Participate in code reviews, lead technical design discussions, and provide mentorship to junior and mid level engineers. Your Skills Extensive hands on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End to end exposure in model lifecycle development, including demonstrated experience deploying and maintaining ML models in production environments. Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine tuning LLMs for domain specific enterprise applications. Experience with MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Worked with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models. Experience with model serving frameworks (vLLM, TensorRT, Ray). Experience with A/B testing and experimentation frameworks for AI features. Experience with model observability tools (LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.

Artio is a pioneer in early-stage carbon insurance, enabling investment in high-quality projects through data-driven risk models. As the only insurer providing coverage before project activity begins, we de-risk investments to help buyers secure carbon credits at scale and accelerate the transition to net zero. In under two years, we have evolved into a market-leading MGA and Lloyd's coverholder. Backed by capacity from Tokio Marine HCC, Markel, Apollo and Oak we are already delivering solutions for global institutions (banks, funds, corporates). We are redefining the industry by building an AI-native ecosystem, integrating everything from modelling to pricing in-house to deliver a faster, smarter insurance experience. About the Role As our Senior Full Stack Engineer, you will own the technical architecture and platform that powers our proprietary risk models. You aren't just building features; you are shaping the digital backbone of early-stage carbon insurance. You will manage our platform and ship products independently, while bridging the gap between core software engineering, data engineering, and data science. You will collaborate directly with the founding team and our data scientists to scale our data pipelines and deploy AI-driven insights that the carbon market has never seen before. What you'll be doing This role sits at the intersection of climate tech, data engineering, and complex financial systems. We need a builder who loves ownership and isn't afraid of complex, multi-layered data. You'll manage our application ecosystem end-to-end, shipping high-impact, customer-facing features independently from concept to production. You love data infrastructure. You will architect and scale our data engineering pipelines, specifically handling high-resolution geospatial and climate datasets. You'll partner closely with our data scientists to integrate machine learning models and LLM workflows, helping to automate underwriting insights and power our real-time risk dashboard. You'll make critical architectural decisions to ensure our internal LCA, financial, and climate forecasting tools run seamlessly. We are a lean team scaling fast. You will help automate the workflows that trigger our risk model function the moment a client requests an insurance quote. Be responsible for making our platform and workflows secure and bulletproof. What you bring to the table You have at least 5 years of professional full-stack engineering experience. You've done this before and thrive when taking systems from 0 to 1. You are incredibly comfortable working across the entire stack. I.e Proficient in building robust and secure backends, managing databases, managing infrastructure in the cloud (GCP), and delivering clean, intuitive frontend UX. You have hands-on experience with data engineering, particularly building pipelines for geospatial data, GIS, or large-scale raw data ingestion. You understand how to work alongside data science workflows, helping transition Python-based models or LLM integrations into production-ready software. We're a lean team. We need someone with a high degree of autonomy who can take technical ownership of projects end-to-end without needing a committee to make decisions. Nice to haves You've survived (and enjoyed) the chaos of an early-stage startup. An interest in or exposure to carbon markets, climate tech, or complex fintech/insurtech platforms. Even if you don't meet all the above requirements, please apply. We are eager to meet talented and passionate people in carbon markets who have an interest in insurance! The Package Compensation of £75k-£90k (Depending on your experience level). We offer a meaningful equity package (Employee Stock Options) so that as we succeed, you do too. As we scale, your impact scales with us. You'll have a direct hand in shaping our engineering culture and platform direction, with no ceiling on your growth. We work hybrid. We trust you to work where you're productive, but we like to work together in London at least once a week. We offer unlimited annual leave. We focus on output, not hours tracked. We trust you to manage your own time and rest when you need it. How we hire We try to keep this efficient and respectful of your time. A casual conversation with one of the founders to see if our vibes match. A practical task focused on building features so we can see how you think. A final interview with the founding team to dive deeper.

# Founding Platform/Backend LeadLead backend engineering for the EvaEsi platform through launch and as the engineering team grows.All open rolesApplyAbout the role What this role does.EvaEsi is a whole new model line, built on the research from Forlais. It is a significant launch, and you can help shape it.The platform is already built and working. We need someone senior to take responsibility for quality, performance and reliability, and to lead the engineers who join as the team grows.What we look for Qualifications. Deep backend experience in Rust, or in systems languages with real production Rust exposure. Experience running a production service end to end: data model, correctness, performance, deployment and incidents. Enjoy making a working system properly solid. Bring an open mind and genuine readiness for a learning curve. Are results oriented and comfortable taking responsibility for outcomes. Are willing to adapt and try new ideas.Bonus Nice to have. Rust web services, Postgres and Redis. Payments, identity or other correctness-critical domains. Scaling production systems. Observability, load testing and incident response.Process How the process runs.Each application is reviewed directly. Expect one or more conversations covering judgement, technical or craft depth, and the responsibility the role carries. EvaEsi does not publish salary ranges in public material; compensation is discussed individually during the process.Team: EvaEsi PlatformType: Full-timeLocation: United KingdomDiscipline: EngineeringWhat you will do Lead backend engineering across the EvaEsi platform through launch. Take responsibility for quality, correctness, performance and reliability across the platform services. Help turn a working system into a properly solid public product. Set engineering standards without slowing the team down. Work closely with AI, security, billing, infrastructure and product operations.

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!

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 2,200 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. About the Team About the Team The Founders' Lab is Airwallex's elite internal innovation hub. Operating like an agile startup backed by our global network, we partner directly with our CEO and Co Founder to architect, build, and ship next generation Fintech AI Innovations and 0 to 1 product lines. We don't build in isolation, nor do we over engineer for theoretical problems. Our mandate is high velocity validation: we take raw, ambitious, and ambiguous concepts from the executive suite, build the MVP, and deploy it onto our global financial infrastructure to test with real users. We look for High Agency Builders. There are no layers of middle management or rigid ticketing queues here. You will hold complete end to end technical and product ownership-wearing the hat of a Product Manager to define the what and the why, and acting as a lead engineer to build the how. What You'll Do Co Author 0 to 1 Products: Partner directly with the CEO and global leadership to turn raw strategic visions and disruptive AI capabilities into functional, market ready financial software in weeks, not quarters. Embody the Product Engineer Mindset: Synthesize business requirements, regulatory realities, and cutting edge tech. You aren't just writing code to a spec; you are evaluating product scope and user friction to shape the product roadmap. Execute with Velocity: Bias heavily toward action. Run rapid proofs of concept, deploy them to live users to test market fit, and constantly balance rapid feature iteration with structural soundness. Deliver End To End Solutions: While backend heavy and architecturally sound, you are a generalist at heart. You will do whatever it takes to get a product into the hands of global users-from API design to frontend polish. Minimum Qualifications 6+ years of software engineering experience, with a deep foundation in backend architecture and a proven ability to confidently flex full stack when the mission requires it. Startup or R&D DNA: A track record of personally shipping products from scratch in high growth startups, corporate innovation labs, or fast paced greenfield environments. Sharp Product & Commercial Intuition: You challenge assumptions. You care immensely about user experience and business impact, evaluating technical decisions through a commercial lens. Pragmatic & Resourceful: You have a strong "get things done" attitude. You don't wait for a perfect blueprint or permission-you find creative pathways around institutional or technical roadblocks. High Ambiguity Tolerance: You thrive when the path forward is undefined, successfully translating high level executive visions into clean, maintainable software. Preferred Qualifications Familiarity or hands on experience building software that leverages Generative AI, LLMs, or intelligent workflow automation. Fintech, payments, or experience dealing with compliance and money movement rails. Prior experience as a startup founder, founding engineer, or technical lead of a rapid prototyping team. 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.