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Product Engineer | Early-Career | AI-Focused | Leeds | £30-40k Are you an early-career developer ready to take real responsibility and grow quickly? Want to join an AI-driven startup backed by experienced investors with a track record of building successful businesses? We’re helping hire 2 Product Engineers to help bring innovative digital products to life. You’ll work across multiple projects from portals and websites to mobile apps using AI tools to accelerate your work and make an impact every day. What you’ll do • Build and ship web and mobile applications using TypeScript, React, React Native, and Supabase, • Leverage AI tools like Claude, Cursor, and Windsurf to prototype faster and improve workflows, • Take end-to-end ownership of projects, from idea, MVP to live product, with support and guidance from experienced engineers, • Collaborate with clients to understand needs and influence product decisions, • Contribute to automation, testing, and quality practices across mobile and web platforms What they are looking for • 0–2 years of commercial development experience, • Strong fundamentals in coding and data structures, • experience with AI-assisted development and eager to experiment, • Comfortable in a collaborative, fast-moving startup environment, • Excited to learn, iterate, and ship quickly while building real products Why join • Salary £30–40k with performance-based growth opportunities, • Hybrid working: 3 days in our Leeds office for mentorship and collaboration, • High-autonomy environment where your work directly impacts users, • Hands-on experience with AI-assisted mobile and web development, • Opportunities to develop skills in modern frameworks, testing, CI/CD, and product delivery

Were a fast-growing solar business looking for a hands-on Marketing Lead who can move quickly, experiment boldly, and turn ideas into leads. Build and execute marketing campaigns across social, email, and paid channels. Experience in digital marketing, ideally in solar, home improvement, or a tech-d

Contract Machine Learning Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • MLflow (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar), • Python-based ML workflows

Position: Web Scraping Engineer - Javascript, Typescript Company: FlatPlan Website: Work hours: 10am - 6pm GMT / Mon - Fri Holidays: 29 days Summary Hi, I’m Kieran, CEO at FlatPlan. We’re a SaaS business that enables media companies to deliver breaking news articles to millions of people on Apple devices. We’re a small, passionate team that work closely with some incredible companies including The Athletic, Formula One, Premier League and The Atlantic. We have big plans - to transform how news media reaches readers - and central to those plans is our efficient, reliable web scraping infrastructure. Position overview We work with a prestigious group of media companies and brands, helping them reach a wide audience of readers. At the core of what we do is extracting content from publisher websites and transforming it for delivery to Apple News. This role is focused entirely on helping our team build and maintain our web scraping infrastructure. You'll be working with our Node.js scraper, writing JavaScript and TypeScript parsers that extract content from publisher sites. Each publisher has unique HTML structures, so you'll become expert at analysing CSS selectors and DOM patterns to reliably extract articles, images, and metadata. We're particularly excited about candidates who have experience with Claude Code or other AI-assisted development tools. We're actively integrating AI into our workflows and want someone who shares our enthusiasm for these tools. You bring strong expertise in JavaScript/TypeScript, HTML, and CSS, with opinions on best practices and a track record of building reliable scraping systems. On any given day you could be debugging why a parser stopped working after a site redesign, building a new parser for a major news outlet or improving our scraping reliability with Puppeteer for JavaScript-heavy sites. How we’re setup We build primarily with Javascript, using Node.JS, the Cheerio library for parsing and manipulating HTML and jQuery/Javascript for DOM manipulation. We also utilise Node.js and React for our customer dashboard, MongoDB and AWS. We’re always open to innovation and opinions on the tooling, frameworks and stacks that future products should utilise and you’ll be supported by a team with a good understanding of our current product and great ideas for the future. This is a remote role, but as a team we do like to get together in London occasionally. Why you should apply We’re a remote-first team of people based mainly in the UK and around Europe. We’re all working together to build an incredible company that makes a genuine impact to media companies, and we’re having fun doing it. We’re a supportive team that genuinely cares about each other, sharing team achievements and working closely together to solve problems. You’ll get to work with world-renowned media companies and brands including Premier League, ITV News and Formula One. We are a profitable company, formed in 2019 and backed by TinySeed, a syndicate of investors led by author and serial entrepreneur Rob Walling. Our relationship to Apple Inc. runs deep – we are Apple’s preferred provider for Apple News, and following a period of assessment, a direct supplier to Apple. We’re growing fast, too, so you’ll learn a lot about working in this kind of exciting environment, and you’ll get plenty of opportunities for personal and professional growth. Requirements • 3-5 years of experience with JavaScript/TypeScript, • Experience architecting or significantly improving scraping infrastructure, • Familiarity with headless browser automation (Puppeteer/Playwright), • Solid understanding of HTML and CSS selectors, • Experience with Node.js, • Familiarity with Cheerio and Axios, • Strong problem-solving skills, attention to detail and curiosity, • Excellent communication skills for remote collaboration, • An interest in AI tools and willingness to experiment with emerging technologies

Football Data Engineer We’re helping a leading football club grow their data team. Working directly for the club you will work alongside data science and performance experts and take ownership of all football data pipelines. Turning complex football data into reliable, analysis-ready assets for the team powering decisions across the club. Mainly focussing on the First Team but also having exposure with Reserve, Academy and Youth Teams. Power the game with data. From numbers to goals, driving decisions to create winning results! Essential Skills (Across the pitch): • Python programming skills., • Experience designing, building and maintaining cloud based data pipelines (ETL) for structured and unstructured data from APIs (both internal and external)., • Familiarity with databases, data warehouses and cloud platforms (SQL, Snowflake, AWS)., • An understanding of data quality, testing, monitoring and documentation best practices., • Exposure with football data (either professionally or through personal projects)., • A genuine passion for football (soccer) and a curiosity-driven mindset for how data flows through the modern game. Day-to-Day Duties (In the stadium): • Build, maintain and optimise scalable data pipelines ingesting football data from multiple internal and external sources., • Clean, transform and structure raw football data into impactful, value driven insight., • Ensure data reliability, accuracy and availability across performance, recruitment and analytics teams., • Work closely with data scientists, analysts and football stakeholders to support insight generation., • Contribute to internal platform improvements, tooling and architectural decisions., • Support research and innovation projects by enabling access to new datasets, metrics and data products. Benefits (Beyond the game): • An impact from day one., • Direct involvement with football and the chance to apply data engineering to the real-world football calendar., • Creative freedom to experiment and innovate., • Supportive, collaborative culture that encourages learning and growth., • A vibrant team culture with a shared passion for the sport., • Access to the latest tools and technologies., • Competitive salary, plus an endless list of benefits.

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

Company Overview Space Radiation Services was established three years ago and is headquartered in the UK and has a presence in the US. Our main business is engineering consulting and research for space systems, focused on radiation testing, analysis and design. We have supported over 50 companies across ten countries, ranging from sub-system/component suppliers up to satellite manufacturers and constellation providers. Our goal is to ensure our clients’ hardware survives the radiation environments of space. We do this through a mixture of analysis, desk based research, testing, and the implementation of changes to both electrical and software designs. Job Summary We are looking for the right person who can learn and contribute rather than focusing on a predefined level of experience or seniority. Thus, we offer a flexible role for a Research Engineer with focus on Radiation Effects on Electronics, from entry level to director level. The role involves supporting clients with analysis, experiment/test development, testing and design applications of electronics for space. Your key contributions will be to independently analyse radiation effects on electronic parts and systems, interpret radiation environments and test data, and communicate clear conclusions through high-quality technical reporting. You will help shape how devices are assessed and qualified for use in space, drawing on existing data, modelling, and targeted testing where appropriate. • This role suits a physicist or engineer with research experience and strong technical writing skills, who wants to move into applied space work., • Applicants must be British Citizens due to work in the defence industry and to comply with export control regulations., • The role can be part-time, full-time, or full-time with compressed hours to help with childcare etc., • Remote Work: This role is fully remote with flexibility of work hours. However, we do require the availability to work late two days per week to accommodate meeting schedules of international customers., • International Travel: Some international travel for testing purposes is required, likely to be in the range of 2 - 4 weeks per year (negotiable)., • Competitive Compensation: We ensure that your compensation will be commensurate with your level of experience. Responsibilities • Perform desk-based research into radiation effects mechanisms, trends, and best practices for electronic parts and systems., • Interpret experimental radiation test data, and draw conclusions., • Work with customers to define test objectives and interpret results., • Develop technically defensible conclusions where data is limited, uncertain, or incomplete., • Produce clear, well-structured technical reports, summaries, and recommendations for customers., • Maintain documentation and contribute to test methods. Other responsibilities which can be learnt on the job: • Evaluating customer designs and components, developing approaches for improvements such as part substitutions, design changes and mitigations., • Research into the radiation effects on similar components or systems to develop an understanding of radiation effects and potential best practice., • Running on-orbit radiation simulations to predict radiation effects on hardware., • Run radiation transport codes to verify test setups and evaluate hardware. Experience and Skills • 2 years of industry experience as an Electrical Engineer, Physicist, or other related discipline., • 4 years experience in roles (can include PhD) that require proficiency in technical writing, • Experience conducting self-driven research, • Ability to manage multiple projects with competing priorities., • Independent and proactive, with an ability to learn new skills on the job., • Able to travel internationally for beamline campaigns (typically 2 - 6 days at a time). Desirable but not required: • Prior experience in the space industry., • Understanding of space qualification standards., • Industry experience as an Electrical Engineer, • Hands-on experience at a beamline or accelerator facility., • Experience radiation testing semiconductor devices, • Experience using radiation transport codes

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Data Scientist – Authentication & Identity (Consumer Tech) Contract: 12 months with potential extension Location: Remote (UK) Working hours: 9:00 am – 6:00 pm About the Role • We are hiring a Data Scientist to join a high-impact Authentication Services team within a global consumer technology organization operating at massive scale., • This role sits at the heart of mobile identity and account access, supporting products used by millions of people worldwide., • You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment. What You’ll Be Doing • Conduct experiment and A/B test analysis to measure the impact of authentication methods, • Perform root cause analysis on drop-offs and issues within authentication funnels, • Deliver funnel analysis across registration, login, and account recovery flows, • Lead opportunity sizing to identify areas for optimization and expansion, • Build and maintain dashboards and reporting to track performance of authentication levers, • Own analytics for a defined set of features and support delivery against the product roadmap Required Skills & Experience • Strong SQL skills (non-negotiable), • Hands-on experience with A/B testing and experimentation platforms, • Experience analyzing large-scale datasets and complex consumer funnels, • Ability to clearly communicate insights and recommendations to stakeholders, • Proven background in growth or product analytics, • Python or R experience preferred Experience level: 4–7 years Background: Consumer tech / consumer apps strongly preferred What Makes This Role Compelling • Work across multiple consumer apps within a single ecosystem, • Solve real-world problems at global scale, • High visibility work influencing products used by millions of users, • Opportunity to shape critical identity and authentication experiences

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network. If you are interested in a software engineer role, please ___.

Developer Advocate Location: London About the Role We’re looking for a Developer Advocate / Developer Content Engineer who can show developers what’s possible with Artemis. Someone who can build examples, explain real workflows, and create content that resonates because it reflects how developers actually work. Your job is to help developers understand how our offerings fit into their everyday flow and why it makes their work better — in your own technical, authentic voice. You’ll collaborate closely with Engineering and Product, experiment with new capabilities, create demos and walkthroughs, and engage publicly across developer communities If you’re a builder who loves teaching other developers through content, video, examples, and honest technical conversation, we’d love to hear from you. Key Responsibilities • Build engaging, production-ready demos that showcase real-world developer workflows and product capabilities., • Produce multi-format content — technical blog posts, tutorials, videos, and social media snippets — that resonates with technical audiences., • Record and edit videos (feature walkthroughs, screencasts, narrated demos) optimized for developer channels like YouTube, LinkedIn, and Twitter., • Collaborate with engineering to deeply understand features and ensure content is accurate and developer-ready., • Work with marketing to align content with launch timelines, messaging, and campaigns. Technical Skills & Experience We’re looking for someone who can combine developer credibility with content creation expertise: • Strong software development background, ideally in JavaScript/TypeScript and/or Python., • Proven experience using and extending Visual Studio Code (extensions, integrations, workflows)., • Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face)., • Ability to build and explain end-to-end demos using modern dev tooling and workflows (git, CI/CD, cloud platforms)., • Understanding of developer ecosystems and how to engage technical audiences through content., • Video production skills — screen recording, editing, and publishing for professional-quality results. Portfolio Requirement Applicants should have a portfolio of previously created developer content that could include: • Recorded video demos or walkthroughs., • Technical blog posts or tutorials., • Public GitHub projects or repositories tied to content pieces., • Conference talks or webinars. (not required but great to have) Deliverables • 2–3 polished demos with write-ups and recordings., • 3–4 developer-focused blog posts or tutorials highlighting use cases, integrations, and tips., • 2–3 short launch videos (2–5 minutes each)., • Updates or additions to developer documentation for launch readiness.

Social Media Marketing Manager Full Time | Permanent | Hybrid (Office & Home) | Wakefield Salary range £31,000 - £36,000 We are looking for a Social Media Marketing Manager who knows how to turn content into growth. This role isn’t about posting for the sake of it or keeping accounts “ticking over.” It’s for someone who understands how to grow audiences intentionally, build founders’ personal brands, and generate real business results through social media. What you will be doing You will take full ownership of social media performance across Instagram, TikTok and other relevant platforms, shaping strategy, planning and publishing content, and continuously optimising based on results. A key focus of the role is growing founders’ personal brands with clear intent, building engaged audiences that drive reach, leads and measurable business impact. You’ll experiment regularly, testing hooks, formats and creative ideas, analysing what resonates, and scaling what performs best. You’ll also collaborate with the wider team on email marketing, LinkedIn and other outreach activity when required, contributing to a joined-up approach across channels. This is a hybrid role, with a couple of days per week based in the Wakefield office and the remainder working from home. It’s well suited to someone who thrives in a fast-paced environment and enjoys moving quickly from ideas to execution. This role could be a great fit if you: * Have proven experience managing and growing social media accounts, with examples of results you can demonstrate. * Can think like both a creator and a marketer, balancing creativity with strategy and performance. * Are confident analysing social media data and using insights to refine and improve content. * Have strong written communication skills and can craft messages tailored to different audiences. * Care more about outcomes (reach, engagement, leads and growth) than aesthetics alone. * Enjoy working in a fast-growing business where ideas are tested, refined and improved quickly. This is not a “post a few times a week and send a report” role. We’re looking for someone who takes ownership, pushes for growth, and wants to make a meaningful impact. Equals One is an advertising and recruitment agency working on behalf of our client to promote this vacancy. You may be contacted directly by the employer should they wish to progress your application. Due to the number of applications we receive, we are unable to provide specific feedback if your application is unsuccessful

Location: Leeds (City Centre) Hybrid (3 days onsite / 2 remote) Salary: Up to £70,000 The Pitch We are AUDITSU. We are building the engine that automates accessibility testing for the enterprise. We aren't looking for a ticket-mover. We are looking for a Foundational Engineer . This is a role for an engineer who is tired of moving buttons 3 pixels to the left. If you want to solve graph traversal problems, handle raw mobile device streams, and architect a system from "ambiguous experiment" to "stable product," this is for you. We have the infrastructure (Django, Redis, Appium, Next.js ). We have the funding. We have 1100+ clients on our waitlist. Now, we are rebuilding our core proprietary technology: a traversal engine that can autonomously navigate, interact with, and map complex Android applications. The Role: High Agency, Pure Engineering You will act as the bridge between R&D concepts and production reality. You wont be buried in a squad; you will work directly with the Founder and CTO with high autonomy. How we work: We operate on a clear partnership model: Product-Led, Engineering-Solved. The Founder defines the "What" (Top-Down product concepts and user goals), and you own the "How" (Bottom-Up architectural strategy and execution). We don't hand you tickets; we hand you problems, and we trust you to think critically to engineer the solution. The Scope: We need someone who is "full stack" in the truest sense. You must be comfortable diving into low-level Appium automation scripts, designing the Postgres schema that maps the data, and shipping the React UI that visualizes it. Your Mission (The First 3 Months) You are not here to maintain legacy code; you are here to build the "Brain" of the platform. Architect the State Engine: Mobile accessibility testing fails because it lacks context. Your first challenge is to build a system that turns raw, noisy device streams into a deterministic, queryable graph of the application. Solve the "View" Problem: Mobile viewports only show a slice of the application. You need to engineer a method to capture, normalize, and reconstruct a complete "map" of a screens state, overcoming the limitations of scrolling and dynamic loading. Build the Decision Logic: Prototype the intelligence that drives the bot. You will determine how the engine handles loop prevention, detects screen changes, and decides whether to tap, scroll, or back out. Production Integration: Ensure this new engine isn't a silo. It needs to speak fluently to our existing FastAPI/Django backend and stream results to the Next.js dashboard in real-time. The Tech Stack Current platform stack (whats already live) Python 3.11, Django (DRF), FastAPI Postgres, Redis, Celery Next.js 14, TypeScript, Tailwind Appium (Android) DigitalOcean today, likely moving towards GCP Traversal engine Rebuilt from scratch. Youll help choose the right approach and tools, then integrate it into the platform above. Who You Are You are a First-Principles Thinker: You don't just glue libraries together. You understand why things work. Whether you write the code yourself or review what an LLM generated, you can spot the race condition in the database lock or the inefficiency in the HTTP request immediately. You treat AI as a Force Multiplier: We don't care if you use Copilot/Cursor to write the boilerplate. In fact, we expect you to leverage AI to move faster. But you aren't a "vibe-coder", you have the deep expertise to audit the output, refactor the architecture, and own the final implementation. You ship complexity: You have experience taking a messy, complex problem (like video streaming, large-scale scraping, or automation) and turning it into a clean, stable API. You value "Done" over "Perfect": You can prototype fast (with or without AI assistance) to validate a hypothesis, then ruthlessly refactor to harden it for production. You are language-agnostic but Python-native: You produce clean, typed, testable Python. You are comfortable jumping into TypeScript/React to build the tools you need, focusing on the outcome rather than the syntax. Nice-to-Haves (But we hire for aptitude, not just keywords) Experience with Appium, Selenium, or UIAutomator2 . Experience with Computer Vision (OpenCV, stitching logic). Background in Graph Theory or state machine design. You have experimented with Android development The Process We respect your time. We don't do whiteboard leetcode. Intro Call: A human conversation about what you want to build next. Technical Deep Dive: We discuss systems youve built and the scars you earned building them. Paid Assessment: A realistic, time-boxed task relevant to the job. We pay you for this because your work has value. On-site Session: Meet the team in Leeds and discuss forward direction. TPBN1_UKTJ