• Design and implement data-driven systems that enhance decision-making across dealer workflows • Develop predictive or optimization logic using structured dealership data • Translate business objectives into scalable intelligent services • Improve consistency, accuracy, and efficiency in operational processes • Ensure solutions are explainable, reliable, and aligned with enterprise and regulatory expectations • Build systems that extract insights from structured dealership data (CRM, DMS, transactional records) • Implement knowledge retrieval or search capabilities across policies and documentation where appropriate • Collaborate with product teams to surface actionable intelligence within dashboards and workflows • Design and deploy containerized AI services within AWS (ECS/Fargate) • Integrate intelligent services into existing APIs and application workflows • Monitor system performance, reliability, and integrity • Ensure data security, auditability, and compliance alignment

Role Description Our client is building vision agents for large venues such as hotels and casinos— powering real-time video analytics and intelligent surveillance across hundreds of camera streams. Our systems run on-prem in some of the largest resorts in Las Vegas, and many more in the pipeline. They’re a highly technical team shipping deep tech into one of the most operationally demanding and dynamic environments. We’re looking for a Forward Deployed ML Engineer who blends strong technical ML/CV ability with comfort deploying systems in the field. You will own our real-time vision pipelines end-to-end and be the technical face of the client's inside casinos. This role is not a back-office research job. - Ship models into production - Debug production pipelines at client sites - Build new ML features ranging from classical ML, computer vision and LLMs - Work hands-on with GPU servers & multi-camera systems - Collaborate with customer surveillance teams and distribution partners If you love solving real-world problems in messy environments, this is your role. Qualifications - 2-3 years of experience in machine learning with strong knowledge about not just deep learning but also classical ML - Strong skills in Linux, Docker, and shipping models as services - Comfortable working in live production environments with minimal supervision - A startup mindset — resourceful, adaptable, and excited to work across ML, backend, and DevOps boundaries Requirements - Train, tune, and update/deploy deep learning models at client sites - Maintain low-latency inference pipelines on-premise using PyTorch, ONNX, and TensorRT and Triton - Build training data processing pipelines, QA/QC labeling and coordinate work with our labeling teams - Work closely with customers and with the product manager to experiment and ship new features Benefits - Work remotely Monday - Friday, 40 hours a week (no weekends) - Vacation: 10 business days a year - Holidays: 5 National Holidays a year - Company Holidays: 5 Company Holidays a year (Christmas Eve, Christmas Day, New Year's Eve, New Year's Day, Zipdev Day) - Parental Leave - Health Care Reimbursement - Active Lifestyle Reimbursement - Quarterly Home Office Reimbursement - Payroll Deduction Purchase Plans - Longevity Bonus - Continuous Learning Bonus - Access to Training and Professional Development Platforms

• Design, train and ship damage detection and segmentation models from dataset curation through deployment • Contribute to technical direction on model architecture, including CNNs & transformers • Leverage LLMs, VLMs & agentic workflows to streamline dataset mining & collection • Partner with our annotation teams to build the datasets that make these models work • Deploy models to production on server & mobile in collaboration with other teams • Help set the technical bar for the team’s code, experiments, and reproducibility • Occasional travel to attend meetings, conferences or production facilities may be required

Role Description The Cathedral School, Cardiff's leading independent school for girls and boys, is seeking to appoint a candidate for the newly created role; Primary Learning Support Co-ordinator, from the 1st September 2026. This role is being advertised both internally and externally. The successful candidate will help develop our school’s pre-existing learning support provision for our junior and infant pupils. From the application process to transitioning into KS3, The Learning Support Coordinator will play an integral role in supporting pupil welfare and academic development. Applications are welcome from recently qualified and more experienced teachers, and from the independent or state sectors. The financial package offered will be commensurate with the experience of the person appointed and qualifies for a management allowance. For further information about the role and staff benefits, please see the candidate pack. Qualifications - Recently qualified or more experienced teachers - Experience from the independent or state sectors Requirements - Full DBS clearance to establish suitability to work with children Benefits - Financial package commensurate with experience - Management allowance Company Description The Cathedral School is a Woodard school, also in membership of the HMC, the Society of Heads, IAPS and the Choir Schools' Association.