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Chief Scientific Officer – Climate Tech/Carbon Capture - Nottingham, UK - Permanent\n\nOur client is a pioneering climate-tech company developing breakthrough technology to permanently mineralise CO₂ into high-performance concrete additives. They are an innovative and ambitious startup organisation specialised in developing new calcium-based materials from carbon capture processes. Their mission is to utilise CO₂ and waste to create, stronger, cheaper and cleaner building materials.\n\nTo continue the growth of the organisation they are seeking a Chief Scientific Officer (CSO) to lead the transition of their technology from TRL 5 to TRL 8 and deliver performance at industrial scale.\nThe CSO will be responsible to scale chemistry into industrial processes, support scale-up across pilot plant and demonstration plant, ensure performance with real industrial inputs, deliver under tight timelines and budgets and lead a team to achieve clear, measurable outcomes\n\nThe main targets of this role will be to drive TRL progression (5 to 8), translate lab work into industrial performance, remove scale-up bottlenecks and deliver results through the team\n\nThe desired outcomes of this role will be to achieve TRL progression, demonstrate a reliable pilot and demo performance, identify and resolve key scale-up risks and to drive a team that consistently delivers against milestones\n\nExperience and background\n• Proven years in industry or startup (not academic-only)\n• Experience scaling chemical or material technologies beyond lab\n• Strong understanding of scale-up and industrial constraints\n• Experience managing teams and budgets\n• Experience in carbon capture, utilisation, or related fields\n• PhD or MSc in a relevant field\n\nDesirable experience\n• CO₂ mineralisation\n• Concrete / Cement chemistry\n• Startup scale-up experience\n• IP / patents

Senior Process Chemist - Carbon Capture - Nottingham, UK - Permanent\n\nOur client is a pioneering climate-tech company developing breakthrough technology to permanently mineralise CO₂ into high-performance concrete additives. They are an innovative and ambitious startup organisation specialised in developing new calcium-based materials from carbon capture processes. Their mission is to utilise CO₂ and waste to create, stronger, cheaper and cleaner building materials.\n\nThey are seeking a top-tier Senior Process Chemist to take full ownership of the chemical performance of their process across TRL 5–8, working directly on mini-plant and pilot systems.\nYou will be responsible for ensuring that the chemistry works continuously, reproducibly, and under real industrial constraints, using rigorous inline and offline analytical data to control, diagnose, and optimise the process.\n\nKey Responsibilities\n• Own chemical performance across Pilot-plant and Demo-operations, ensuring stability, reproducibility, and scalability\n• Design and implement inline and offline analytical frameworks to monitor process behaviour, including impurity evolution, phase changes, and product quality\n• Lead development of real-time process understanding, linking analytical data to reaction mechanisms, kinetics, and process control\n• Translate lab chemistry into robust operating windows, working closely with chemical engineers on mass balance, residence time, and system dynamics\n• Drive optimisation of crystallisation, precipitation, impurity management, washing, drying, and product stability under continuous conditions\n• Identify and solve scale-up challenges including fouling, agglomeration, phase instability, impurity build-up, and process drift\n• Design and execute high-impact experimental campaigns (DoE, validation, stress testing) focused on process robustness and industrial readiness\n• Define product specifications, impurity thresholds, and structure–property relationships linked to cement performance\n• Build and refine SOPs, QC methods, and analytical protocols suitable for industrial deployment\n• Lead root-cause analysis using data and rapidly diagnose and resolve process failures\n• Work side-by-side with engineers during commissioning, operation, and troubleshooting of plant systems\n• Mentor junior scientists and enforce high standards of experimental discipline and data integrity\n• Contribute to technical strategy, IP generation, and external technical discussions\n\nEssential Requirements\n• PhD in Chemistry, Materials Chemistry, or Chemical Engineering (or equivalent industrial experience)\n• Proven experience process chemistry and scale-up in industrial or pilot environments (TRL 5–8+)\n• Deep hands-on expertise in inorganic precipitation, crystallisation, and solid-liquid processing\n• Proven experience in inline and offline analytical techniques and using data to control and optimise processes\n• Proven ability to translate chemistry into continuous, stable, and repeatable operations\n• Demonstrated success in troubleshooting complex, multi-variable process systems\n• Strong understanding of reaction engineering, process dynamics, and scale-up risks\n• Experience working in close collaboration with chemical/process engineers\n• High level of ownership, urgency, and ability to deliver under pressure in fast-moving environments\n\nDesirable Experience\n• Background in cement, concrete, fertilisers, or CO₂ mineralisation\n• Experience in CCUS, carbon removal, or industrial decarbonisation technologies\n• Familiarity with LCA, EPDs, or environmental performance frameworks\n• Experience in startup or first-of-a-kind industrial processes

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 10) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

Full-Stack Engineer Location: London (Hybrid) Salary: Up to £80,000 + benefits We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features. What You’ll Do as a Full-Stack Engineer: • Own the end-to-end delivery of real-time video, data, and AI-driven analysis across a modern digital content platform., • Design and build resilient backend services using Java and cloud-native infrastructure., • Develop modern, high-performance frontend applications using TypeScript and a modern JavaScript framework., • Architect and maintain real-time data pipelines using event-driven systems and streaming technologies., • Work across cloud-based serverless and containerised infrastructure to deploy scalable, production-ready systems., • Integrate LLM APIs and AI-powered workflows into product functionality and engineering processes., • Leverage AI coding assistants and modern development tooling to accelerate development and automate workflows., • Collaborate closely with a small, high-trust engineering team to ship features quickly and reliably., • Take ownership of system architecture, infrastructure decisions, and production deployments. Core Technology Stack: • Backend: Java, distributed messaging systems, relational databases, Docker, infrastructure as code, • Frontend: TypeScript, modern JavaScript frameworks, • Infrastructure: Cloud-native serverless and containerised environments, • AI Tooling: Regular use of AI-powered development tools and coding assistants What We’re Looking For in a Full-Stack Engineer: • A polyglot engineering mindset with the ability to work across multiple languages and systems., • Strong experience building backend services and distributed systems., • Ability to read, understand, and contribute to Java-based systems., • Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies., • Hands-on experience integrating LLM APIs from leading providers., • Regular use of AI tools and coding assistants to increase development velocity and automate workflows., • Strong engineering fundamentals including testing, documentation, security, and performance optimisation., • Comfort working in fast-moving environments where ownership, clarity, and delivery are expected. Nice to Have’s as a Full-Stack Engineer: • Experience in sports technology, live event data systems, or digital media platforms., • Exposure to streaming technologies or real-time data processing frameworks., • Strong experience designing data architectures and large-scale distributed systems. This is a rare opportunity for a Full-Stack Engineer to help shape a real-time digital platform from an early stage, working with modern cloud infrastructure and AI-augmented engineering workflows to deliver high-impact systems.

Full-Stack Engineer (TypeScript/Node/React) Location: Remote Company: High-Growth HealthTech Startup The Opportunity After hitting some recent significant product milestones, my client are looking to expand their engineering team to match their business trajectory. You will be joining at a pivotal moment, working directly with the CTO and small team to bridge the gap between ambitious product roadmaps and high-quality technical execution. The Tech Stack • Frontend: React.js, Tailwind CSS, • Backend: Node.js, • Language: TypeScript, • Build & Scale: Develop new features from discovery to deployment, ensuring our platform can handle rapid user acquisition., • Strategic Collaboration: Work closely with the team to translate business goals into scalable technical solutions., • Code Excellence: Maintain high standards through code reviews, automated testing, and mentoring as the team grows., • Product Ownership: Take a seat at the table during product discussions, be a valued engineer who thinks about the "why," not just the "how." If you are interested in this opportunity please apply for a confidential chat!

Senior Software Engineer (Golang/Python) | Drug discovery Platform | Fully Remote, EU | Base Salary Up to £110,000, plus early equity+benefits I am currently partnering with an elite engineering team building a world-class platform for decentralised and federated computing. They are solving one of the most complex challenges in modern tech: how to process highly sensitive data across global organisations without ever compromising privacy. They are looking for a Senior Backend Engineer who wants to move beyond standard applications and help architect the infrastructure for the next generation of secure data collaboration. This is a high-autonomy role where you will own the technical design and lifecycle of production services used by some of the world’s largest pharmaceutical and data-intensive enterprises. Responsibilities for the Senior Software Engineer (Golang/Python) | Drug discovery Platform | Fully Remote, EU | Base Salary Up to £110,000, plus early equity+benefits • Design and evolve high-performance backend systems and APIs, primarily using Golang, with Python integrated for specific domain-driven logic., • Build and operate software that bridges the gap between Cloud and On-premise environments, utilising Docker and Kubernetes as the backbone for portable, secure workloads., • Take full-spectrum responsibility for features, from the initial architectural blueprint to production monitoring and scaling., • Enhance the observability, performance, and security of services running in distributed, resource-intensive environments where data integrity is paramount., • Work at the intersection of Engineering, ML, and Product to build cohesive, secure systems that enable "AI for good" on a global scale., • Actively experiment with AI-assisted workflows and emerging developer tools to maintain a peak-efficiency development lifecycle., • Lead by example through high-quality execution and active participation in rigorous code reviews to uphold engineering standards. Requirements for the role: • 4+ years of professional experience with a heavy emphasis on building resilient, production-grade backend systems., • Expert-level Golang skills and the ability to leverage Python effectively within complex problem domains., • A proven track record of deploying and debugging cloud-native workloads via Kubernetes and Docker., • Experience with AWS (or similar) and a comfort level working with the unique challenges of hybrid or on-premise deployments., • A strong practitioner of testing strategies, code maintainability, and secure API design., • You thrive in fast-paced, iterative environments where you can influence technical direction and navigate pragmatic trade-offs., • Fluency in English and a strong sense of accountability for technical outcomes and long-term maintainability. What is in it for you? • Competitive salary plus early-stage share options in a scaling deep-tech startup., • A remote-first culture allowing you to work from home or a local co-working space., • Comprehensive benefits including budgets for wellbeing, mental health, and home-office setups., • Dedicated stipend for co-working and a budget for continuous learning and development., • Generous holiday allowance., • Regular team summits held at their European headquarters or other international locations. If you think you are a good match for the Senior Software Engineer (Golang/Python) | Drug discovery Platform | Fully Remote, EU | Base Salary Up to £110,000, plus early equity+benefits - Drop over a CV and we will give you a call if we think you are a match!

🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨 We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of LLMs and cybersecurity, and we’re looking to connect with exceptional Full Stack Engineers across the EU. This is an early engineering hire with huge ownership, high autonomy, and the chance to shape a modern product and architecture from day one. 💸 Salary: €100,000 – €160,000 (£100-140k)+ very strong equity package 🌍 Location: Fully remote across the EU 🛠 Tech Stack: React, TypeScript, Python, AI/LLMs ✈️ Company: Quarterly offsites with a small, high-performing international team Ideal Background – B2B SaaS experience and startup mindset – 6+ years full-stack experience, can build end-to-end features – Proven REST API development with Python – Strong React + TypeScript skills – Bonus: Production level LLM integration experience – Work independently in a small, senior team, shaping architecture and performance If you're interested in joining a cutting-edge AI company and want real impact, autonomy, and technical ownership, feel free to reach out with your CV and notice period. 🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨

Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits The Client: Owen Thomas has partnered with a company that is looking for exceptional engineers that have a genuine interest in working with cutting-edge technology, in a fast-paced environment and a young start-up with big ambitions... The platform uses advanced technologies, such as federated learning and homomorphic encryption, which enable data analysis without moving the actual data. This means that organizations can leverage insights from diverse datasets while maintaining strict control over their own data privacy. The company are in a super exciting phase showing genuine impact in the drug discovery sector. They are facing ever increasing technical challenges around data privacy which requires the use of cutting edge technology. This business unlocks the potential of huge data ecosystems across industries - while alleviating security concerns across all stakeholders! Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits What will you be doing? • Partner with core engineering to revolutionize the IaC, CI/CD, and GitOps ecosystems. If it can be automated, it should be., • Take command of the customer deployment engine. You’ll be the force that turns complex platform installations into seamless, repeatable, and lightning-fast experiences., • You bring 3+ years of heavy-hitting experience and a solid academic foundation in CS, Physics, or Engineering., • Strong experience with Kubernetes, Terraform, Helm with deep expertise within AWS, • You translate complex technical "how-to" into clear, actionable English, building trust with high-level stakeholders and client teams alike., • You don’t just fix bugs; you enjoy dismantling technical barriers and building elegant solutions for real-world users. Experience needed for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits • 7+ years of relevant work experience, or a Bachelor’s/Master’s/PhD in Computer Science or related fields (e.g., Physics, Mathematics, Engineering) with at least 5 years of experience in relevant roles., • Proven experience in building, maintaining, and evolving secure containerized systems on Kubernetes and managing cloud infrastructure, on AWS, • Experience using Terraform., • Strong coding skills, preferably in Golang and/or Python, with proficiency in additional programming languages being a plus., • Excellent communication skills: fluent in English (both verbal and written) and capable of constructive and proactive communication., • Confident in taking ownership of problems, gathering ideas for solutions, and effectively conveying approaches to others., • Passionate about continuous learning and eager to work with cutting-edge technology in a dynamic startup environment. Renumeration for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits • Salary range Up to £85,000 + Early stage equity, • Fully EU Remote working, • Contribution towards at home office set up or coworking space., • Laptop / Macbook, • Wellbeing budget, • Stock options If you are interested in working in an Engineering team of 25+ people, having a Positive Impact on the world, with some of the brightest minds across Europe to, drop over your CV and if we think you are a good match we will give you a call!

Application Engineer - Connect Fibre £40,000 pa plus benefits Work from Home The Role Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing startup with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. Duties and responsibilities • Design and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. Qualifications and Experience A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • Proficiency in at least one programming language - Javascript, Python, PHP, • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus, • Experience with Wordpress and WooCommerce would be beneficial, • Familiarity with software development methodologies (Agile, Scrum, Devops etc.), • Experience of Cloud infrastructures Azure or AWS, • Working experience of API and REST API integrations, • Strong analytical and problem-solving skills to identify and mitigate development risks effectively, • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential, • Knowledge of geopandas, numpy, node or SQL is desirable but not essential, • Experience with GIT and Docker processes beneficial, • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. Measured on Performance evaluation will be based upon: ▪ Productivity and specific targets to be agreed collaboratively with line manager ▪ Quality of work and feedback from peers and colleagues ▪ Delivery of systems and services within agreed organisation and budget constraints ▪ Collaboration and skills as a team player. ▪ Innovation and creativity. Direct reports • This role reports directly to the Head of Systems Development. The Rewards • Salary: £40,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance, apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

The Opportunity - (Fully Remote, Perm role) This is a greenfield data platform build. ___ is in the middle of a major AI transformation — a multi‐agent copilot platform (KAI) is already live in production, serving manufacturing clients globally. The AI roadmap is ambitious (agentic AI capabilities, multi‐agent orchestration, voice interfaces), and the next wave of capabilities depends on a strong data engineering foundation. A Databricks lakehouse POC is being evaluated (Unity Catalog, Delta Sharing, PrivateLink to RDS), and the team is assessing the right long‐term analytics platform strategy. This role builds the entire data engineering function from scratch — defining the architecture, tooling, and patterns that power the next generation of AI capabilities. This is an entirely forward‐looking role. While there is an active platform modernisation underway (the engineering team is migrating a .NET platform from SQL Server to PostgreSQL and containerising for Kubernetes), this role’s primary focus is building new data pipelines and analytics infrastructure, not maintaining legacy systems. That said, collaboration with the platform engineering team is important, as the data pipelines need to ingest from both the existing SQL Server estate and the new PostgreSQL databases. Core Technical Requirements • Python — primary language for data pipelines, scripting, and integration with the AI stack. This is a Python‐first team, • SQL (SQL Server + PostgreSQL) — deep experience required across both engines. The platform runs a large‐scale multi‐tenant database estate with per‐client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both., • Databricks / Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms is important for assessing and scaling the right approach, • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales, • ETL/ELT pipeline design — building and maintaining pipelines into a medallion architecture (bronze/silver/gold layers) on Databricks or equivalent analytics platform, • Delta Lake — understanding of lakehouse table formats, time travel, and ACID transaction patterns, • AWS data services — RDS, S3, Lambda, Glue or equivalent. The platform runs entirely on AWS • Linux / CLI proficiency — must be comfortable working AI-Assisted Development Methodology -> Solvace is transitioning towards AI‐assisted development as a core engineering practice. Candidates should demonstrate: • Hands‐on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually, • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation, with strong evaluation criteria and test coverage, • Portfolio evidence — professional projects or side projects that demonstrate AI‐assisted development practices. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust test suites, automated quality gates, and evaluation frameworks that ensure AI‐assisted code meets production standards Nice-to-Have -> • Apache Flink — for real‐time stream processing as the platform moves from batch to streaming analytics, • Apache Iceberg — experience with open table formats alongside or as an alternative to Delta Lake, • Go or Rust — valued as evidence of strong backend engineering and systems thinking, even though Python is the primary language, • Multi‐tenant data architectures — the platform runs per‐client schemas with tenant isolation requirements. Understanding tenant isolation patterns is a significant advantage, • Terraform / IaC — infrastructure is managed via Terraform; the Databricks POC has been codified in Terraform, • dbt or similar transformation framework, • Manufacturing / industrial data domain experience (sensor data, quality metrics, OEE, SPC), • CDC (Change Data Capture) — the platform is building CDC pipelines for the SQL Server to PostgreSQL transition, • Weaviate or other vector database experience — currently used for semantic search in the AI agent layer Why Join? • Greenfield data platform — the entire data engineering practice needs to be built from scratch. A lakehouse POC is being evaluated but the production architecture is theirs to define — patterns, tooling, and platform decisions from day one, • Direct AI impact — every pipeline they build directly unblocks AI agent capabilities. The KAI copilot is live in production and evolving towards agentic AI — autonomous agents that take actions, orchestrate workflows, and operate across systems. This role provides the data foundation that makes agentic capabilities possible, • Event streaming architecture — opportunity to design and implement a Kafka‐based event backbone, shaping the platform’s real‐time data architecture, • Manufacturing AI — opportunity to work at the intersection of industrial operations and generative AI, a domain with massive untapped potential. Rich, real‐world data: quality inspections, KPIs, maintenance records, safety observations, process parameters across global manufacturing sites, • Small team, high autonomy — the Innovation Hub operates with startup‐level autonomy inside a funded, growing company, • Leadership trajectory — the data function is critical to the platform and will grow. As an early hire, there is an open career path that will grow with the function — earned, not guaranteed

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

🚀 Engineering Leader | High-Growth Series A Scale-up Are you a full-stack pioneer ready to own a product from end-to-end? 🏛️💻 We are exclusively representing a mission-driven tech startup that has just secured a strong Series A funding round of over £10million. They are on a journey to transform how local governments and public agencies operate in the UK and USA — breaking down barriers and building the most intuitive procurement platform of the future. As the first dedicated engineering hire leading a team of 3, you won’t just be writing code; you will be the technical architect and leader shaping the entire roadmap of a high-impact, purpose-led organisation. The Role: Head of Engineering This is a "player-coach" evolution. You will drive great execution, manage the balance of scope and resources, and eventually build a high-performing engineering team from the ground up. Key Responsibilities: • End-to-End Ownership: Lead the technical roadmap, manage the codebase, and own the operation of data and apps in production., • Strategic Hybrid Build: Utilise a modern stack (React, Marketplaces, Payment Infrastructure) alongside innovative low-code/no-code and AI integrations., • Team Building: Drive hiring, mentorship, and culture. You’ll manage internal growth while effectively collaborating with external contractors and freelancers., • Execution Excellence: Establish the "Quality Playbook"—setting standards for code reviews, testing, and monitoring. Who You Are: • Technical Polyglot: A rapid learner, fluent in React and complex marketplace infrastructure. You aren’t afraid to get your hands dirty in the code but are ready to delegate as you scale., • Systems Thinker: You think end-to-end about how architecture affects the user and the future of the service., • Entrepreneurial Spirit: You thrive in "startup hustle," acting with urgency and accountability. You care about being effective over being right., • Emotionally Mature Leader: An empathetic mentor who drives clarity in ambiguity and promotes a culture of high standards and transparency. Why This Opportunity? • Key Leadership Status: This is a cornerstone role with the freedom to shape the tech stack and strategy., • Series A Momentum: Join at a pivotal inflection point with the financial backing to scale rapidly., • Real-World Impact: Build technology that empowers local governments to reinvest in their communities., • Equity & Growth: Competitive package including meaningful equity in a venture-backed scale-up.

Full Stack Product Engineer - London (will need to relocate if not in London) We’re looking for a Full Stack Product Engineer to help build and scale a high-growth product in a fast-paced environment. This role is ideal for someone who enjoys working across the stack, shipping features quickly, and solving real user problems. Responsibilities • Build and own user-facing features end-to-end, • Develop new product capabilities (including AI-powered features), • Optimise application performance, scalability, and reliability, • Work closely with users to understand needs and deliver solutions, • Experience in product-focused engineering environments, • Strong skills in TypeScript, Node.js, and React, • Experience with modern frontend tooling (e.g. Tailwind or similar) is a plus, • Solid knowledge of relational databases (e.g. PostgreSQL), • You’re a hands-on builder who enjoys creating products from scratch, • Comfortable working in fast-paced, evolving environments, • Interested in startup or high-growth settings, • Collaborative, pragmatic, and user-focused, • London-based role with primarily in-office working, • Competitive salary + great list of benefits, • Relocation support available for candidates moving to London from within the UK

Senior Data Engineer – Remote UK or Europe Are you a Senior Data Engineer who wants to join a scaling SaaS startup that is just about to close its Series A? A hospitality SaaS company are shaking up the industry, building a modern platform designed around real data. 📍 Remote in UK or Europe. You will need to be +/- 2 hours UTC 💷 £80,000 - £90,000 + Equity 🤝 Interview Process 3 stages – Interview with Founder, Interview with team members, Final Technical Interview Tech Stack: Angular, TypeScript, Liveview, Tailwind, Elixir, Node, Nest, Postgres, GraphQL, Git, Kubernetes, Websockets, AWS Today the platform already processes a large volume of transactional information and has a strong data foundation in place. • ~500GB of structured transaction data, • 100M+ transactions across multiple restaurant types, • A data platform ready to scale The next step is turning this into a high-performance analytics and data infrastructure that powers benchmarking, product insights and machine learning. That is where you come in. We are looking for a Senior Data Engineer who can design and build the analytics architecture that sits alongside the transactional platform and unlocks the value of this data. The Role: You will design and build the analytics infrastructure that powers data across the business. This includes building scalable pipelines, selecting and implementing the right warehouse architecture and ensuring analytical queries can run in seconds across hundreds of millions of records. You will work closely with engineers, data scientists and ML engineers to ensure the platform supports both product intelligence and machine learning use cases. This is a hands-on role where you will own the architecture, pipelines and performance of the analytics stack. What You Will Be Doing • Design and build a scalable analytics architecture capable of handling hundreds of millions of transactions, • Build and optimise an OLAP analytics stack separate from the transactional database, • Design and maintain ETL / ELT pipelines moving data from transactional systems into the analytics warehouse, • Ensure data integrity across 100M+ transaction records, • Optimise analytical queries to deliver sub-second or few-second performance, • Implement monitoring, alerting and testing across data pipelines, • Support data modelling and suggest improvements to existing database structures, • Manage supporting infrastructure across the data platform, • Work closely with ML engineers to support model training and inference, • Collaborate with technical and non-technical stakeholders to turn business questions into efficient data models, • Contribute to the long term data architecture strategy, • Help establish data governance, consistency and quality standards across the platform Experience We Are Looking For • Strong experience as a Senior Data Engineer, • Advanced SQL skills and strong query optimisation experience, • Experience building large scale analytics systems, • Hands-on experience with OLAP databases such as ClickHouse, Snowflake or Amazon Redshift, • Experience designing and implementing ETL pipelines from scratch, • Experience implementing caching strategies using Redis or AWS ElastiCache, • Strong knowledge of AWS infrastructure, • Ability to explain complex technical ideas to non-technical stakeholders Nice To Have • Experience with real time analytics systems, • Experience building benchmarking or BI platforms, • Experience working with very large datasets, • Familiarity with orchestration tools such as Airflow, Kafka or AWS Glue, • Knowledge of partitioning and sorting strategies for large datasets, • Experience in startup or high growth environments, • Understanding of data science concepts such as clustering or recommendation 90 Day Outcomes Within the first 90 days you will be expected to deliver clear progress on the analytics platform. This includes: • Selecting the appropriate analytics warehouse based on performance, cost and scalability, • Designing and deploying ETL / ELT pipelines ingesting data from Amazon Aurora into the analytics warehouse, • Implementing monitoring and alerting across pipelines and warehouse infrastructure, • Reducing benchmark analytics query times to under 2 seconds, • Implementing a caching layer for frequently used analytical queries, • Evaluating the current data architecture and recommending improvements to support long term scale If you’ve spent most of your career working for a large business, think about applying. You’ll need to be able to adapt, pivot and face the challenges that happen in startups. Apply or DM for more information

Company Description AI agents are becoming autonomous - they execute code, call APIs, and make decisions without human oversight. An adequate security approach to govern them doesn't exist yet. We're building it. Our founding team created Sigstore, the open-source signing standard now used by npm, PyPI, Kubernetes, and other critical infrastructure. We're applying that same thinking to agentic security: execution boundaries, immutable attestation, and dynamic capability management for AI agents. This is a UK based role, but we may consider hiring from Europe and the US East Coast for exception candidates. What You'll Do • Contribute directly to the Nono open source project - code, documentation, and architectural proposals., • Experiment with different deployment architectures for Nono across cloud environments, on-premise infrastructure, and hybrid setups and share your findings with others at Always Further, and often with the community, via our blogging platforms or YouTube channel., • Work closely with early design partners to integrate Nono into proof-of-concept and pilot programmes, gathering feedback and translating it into engineering priorities., • Support pre-sales and post-sales engineering conversations with tier-1 enterprise organisations., • Produce technical content - blog posts, architecture guides, demos - that helps users and customers get the most out of Nono. What We're Looking For • AI engineering experience. You understand how modern AI/ML workloads are built, deployed, and orchestrated. Familiarity with agent frameworks and LLM-based systems is a strong plus., • Rust and Python proficiency. You don't need to be a language lawyer in either, but you should be comfortable reading, writing, and reviewing code in both. Rust experience is especially important for contributing to Nono's core, while Python is often used for tooling, research integration, and customer-facing scripts., • DevOps and cloud fluency. You've worked with container orchestration, CI/CD pipelines, and at least one major cloud provider (AWS, GCP, Azure) and some familiar with others.. Infrastructure-as-code is a strong point., • Security background. Understanding of host isolation, sandboxing, and supply chain security is highly valued. If you've worked on container security, VM isolation, or trusted execution environments, even better., • Open source experience. You've contributed to or maintained popular open source projects and understand how healthy communities operate - governance, code review culture, release processes, and community engagement., • Strong communication skills. You're equally comfortable in a GitHub issue thread with community contributors and in a room (or on a call) with enterprise architects and CISOs. Nice to Have • Background in systems programming, low-level Linux, or virtualisation technologies., • Strong hands on architectural knowdledge of how to deploy and operate complex distributed systems in production., • Familiarity with AI agent security challenges - prompt injection, tool misuse, data exfiltration, lateral movement., • Previous experience in a solutions engineering, or field engineering role at a startup or open source company. Why Join Always Further • Foundational impact. You're not joining a team — you're building one. Your architectural decisions become the product., • Foundational Stake & Compensation. As an early foundational hire at a pre-seed company, you will receive a highly competitive equity stake designed to reward early risk-taking and outsized impact, paired with a pre-seed base salary., • Remote, UK preferred. We're UK-based but open to exceptional candidates wherever they are. We provide flexible working built on trust and ownership., • Interested? Send us your CV along with your GitHub profile that links to any relevant open source contributions, blog posts, or projects. A short note on why this role interests you goes a long way.

What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we're always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space — ready to join us? What's the position? We are looking for a Senior Backend Engineer to join our new Quantitative Sports team. As a Senior Engineer you will play a critical role in the development and maintenance of the backend aspects of the pricing system for our sportsbook and work alongside our quantitative analysts to deliver our in-house pricing solution. This position will be able to come in and have a lot of ownership of the shape of the backend implementation. Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work. Key Responsibilities: • Significantly contribute to efforts on a scalable platform designed to perform reliably under intense user and data load, • Be a contributor in architecture discussions regarding the pricing platform, • Be a contributor to the drive to reduce the latency within the system, • Ensure a full testing structure is in place to create confidence and resilience in the system, • Foster team collaboration and knowledge sharing, • Work closely with the quantitative developers to ensure best practices and alignment within the wider department, • Build operational tools and applications to support teams as required What are we looking for? • Minimum 8+ years of engineering experience, • Deep proficiency in Python, especially around backend development, • Experience working in a low-latency platform, • Experience of working in a multi-feed ingestion architecture, • Experience with Micro-Service and Service oriented architectures, • Experience in deploying and managing cloud-based systems and infrastructure (AWS), • Experience with different databases:, • Relational (Postgres, MySQL, etc), • Analytical (Snowflake, Clickhouse), • Strong knowledge of messaging systems (Kafka, RabbitMQ) and pipeline architecture, • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders, • Self-driven, meticulous, and ability to prioritize in a complex and fast-paced environment Qualifications: • Bachelor’s Degree (or higher) in Engineering, Computer Science or other related scientific, technical or business discipline, • Minimum of 8 years job related experience Preferred: • Experience within the sports betting industry, • Understanding of pricing engines, trading algorithms, or live odds generation., • Strong interest in sports and sport analytics, • Knowledge with game state feeds such-as Radar & Genius What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: • Competitive pay and benefits, • Flexible vacation allowance, • Flexible work from home or office hours, • Startup culture backed by a secure, global brand, • Opportunity to build products enjoyed by millions as part of a passionate team Roster of Uniques We care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer)

Social Impact Co-Founder / CPO (100% remote) (m/f/d). You will own, build, and run your startup in fields such as Social Impact.

A pet care company in Nottingham is looking for a motivated Junior Data Scientist to join their team.In this role, you will analyze data, build models, and provide insights to inform business decisions.Key responsibilities include data collection, exploratory analysis, and collaboration with various

From a bold idea to revolutionising dog food, Years has grown into a fast‑scaling business dedicated to helping dogs live longer, healthier lives.In just three years, we’ve built an incredible startup serving thousands of happy customers, all while striving to achieve our mission: giving dog own

The role offers an exciting uncapped commission structure and the chance to develop into a Sales Director, mentoring future sales leaders. A progressive startup in the student market is seeking a Senior Sales Lead to drive revenue and build a sales powerhouse. The ideal candidate possesses a robust

A fast-scaling pet food startup in Nottingham is seeking a Maintenance Engineer to enhance their ambitious engineering team.

A revolutionary dog food startup is hiring an Automation & Controls Engineer to enhance production capabilities through innovative automation systems. The ideal candidate will have experience in engineering for food or FMCG industries, strong PLC programming skills, and a hands-on approach to proble

Job Opportunity: Data Scientist Performance Intelligence Startup · Remote-first · England or Spain £45,000 – £60,000 depending on experience About the Company This is a really exciting opportunity with a fast-growing performance intelligence startup with a genuinely clever concept — think elite sports coaching, but applied to the workplace. The company helps employees, teams, and organisations reach peak performance by uncovering the root causes that hold people back, delivering personalised, data-driven insights and actionable solutions. They drive measurable business impact across things like sales growth, AI adoption, employee retention, burnout reduction, and risk management. It is, in short, a platform that takes data seriously and actually does something useful with it. Refreshing, right? The company is building toward an agent-first platform where AI becomes the primary interface for users — and they are looking for a talented Data Scientist to help make that a reality. The Role (No, you won't just be cleaning CSV files for eternity — though fair warning, some of that is inevitable in any data job.) This is a hands-on, high-impact position where the successful candidate will: • Build, train, and deploy machine learning models — from exploratory analysis through to production-ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models., • Develop and deploy AI agents using Databricks, Google AI Studio and/or Azure AI Foundry. These agents are the primary user interface for the product — so this is genuinely central to what the company does., • Apply statistical rigour to psychometric and survey data, validating the company's proprietary measurement framework and identifying correlations that drive actionable insights., • Advance analytical capabilities beyond aggregation — into predictive modelling, deep learning, and generative AI applications. The ambition is there; they just need the right person to execute it., • Work closely with the CTO and tech team to integrate models into the platform. Collaboration is key — this is not a lone-wolf role., • Translate complex findings into clear, actionable insights for product decisions and client-facing reports. The ability to explain results to non-technical stakeholders is genuinely valued here. ✅ What They're Looking For The must-haves (non-negotiable, unfortunately — they checked): • 2–4 years of hands-on experience in data science, machine learning, or applied statistics., • Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar., • Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design., • Experience with SQL and data manipulation at scale., • Comfortable with ambiguity and working independently in a fast-moving startup environment. This is not a company with 47 layers of sign-off. Decisions happen quickly., • Professional English proficiency (B2+ level). ⭐ Nice to Have Bonus points — none of these are dealbreakers, but they would make a hiring manager very happy: • Experience with GenAI, LLMs, SLMs, prompt engineering, or agentic AI workflows. Given the direction of the product, this is increasingly relevant., • Cloud AI platform experience — GCP, Azure, Databricks, or similar., • Startup experience. You know what wearing multiple hats feels like, and you didn't hate it., • A background in behavioural science, organisational psychology, or psychometrics — the company works heavily with survey data and measurement validation., • Spark, Databricks, or distributed computing experience., • Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer Salary of £45,000–£60,000 depending on experience, with bi-annual salary reviews. Remote-first, flexible working environment. The company trusts its people to get the job done. A genuine opportunity to join a high-potential startup at an exciting stage and directly influence the product, technical direction, and culture. High ownership — ideas actually get built here, rather than disappearing into a backlog black hole. A high-growth career trajectory as the team and product scale. • A team culture that values passion, autonomy, continuous learning, and collaborative problem-solving. Small egos encouraged. Location Valencia, Spain or East Midlands, England is preferred — but the company is open to candidates across England or Spain. The role requires willingness to meet in person once a month (and more as needed). Worth it for the Valencia weather alone, frankly