• 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.

• Contribute to the design, development, evaluation, and iteration of recommendation models powering music surfaces • Drive hands-on ML development to improve recommendation quality across core surfaces • Contribute to the team's adoption of generative recommendation models • Promote best practices in ML systems development and testing • Collaborate with Data Science, Product, and Design partners to define success metrics and run A/B experiments • Partner with teams across Personalization to integrate and test new signals in recommendation systems

Role Description This is a ripe opportunity for a Principal Machine Learning Architect to help a successful ad tech company leverage ML to further optimize our wealth of data and elevate our world-class platform to greater heights. We have our first generation of successful ML projects live and are well on our way to our second. With Machine Learning continuing to mature, the ability to influence core architectures are huge and there are significant untapped business opportunities with our growing data and transaction volume. We are looking for a candidate with a track record of large-scale end to end ML solutions. Here’s what you’ll be doing: - Design, develop and implementation of complex data-centric solutions, including large data set verification, transformation, and feature generation - Ensure continuous high-quality input for ML model development - Design and implementation of model delivery systems - Develop effective strategies on deployment and hosting of ML models - Manage and monitor deployed models - Ability to deploy fast or real time inferencing a plus Qualifications - Masters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related role - Industry experience applying ML at scale - Extensive knowledge of production infrastructure and pipelines for ML models (MLOps) - Experience with several of the following: Classification, Regression, Pattern Recognition, Recommendation Systems, Targeting Systems, Ranking Systems - Experience with Python or other relevant programming languages and Machine Learning frameworks - Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures - Interest in performance optimizations - Deep knowledge of math, probability, statistics, and algorithms - Strong business acumen with the ability to work cross-functionally to source data, establish requirements and define success - Experience working with an advanced engineering team - Knowledge of best practices for software engineering - Bonus if you have a software engineering background - Published articles or papers Requirements - Experience with participating in the machine learning competitions such as Kaggle - Experience in ad tech (i.e. knowledge of digital programmatic advertising data) Benefits - Comprehensive health, dental, and vision plans for you and your dependents - Paid time off, health days, and personal obligation days plus flexible work schedules - Competitive retirement matching plans - Equity packages - Generous parental leave available to birthing, non-birthing, and adoptive parents - Annual well-being allowance plus fitness discounts and group wellness activities - Commuter benefits and discounts, where available - Employee assistance program - Mental health first aid program that provides an in-the-moment point of contact and reassurance - One day of volunteer time off per year and a donation-matching program - Bi-weekly town halls and regular community-led team events - Multiple resources and programming to support continuous learning - A workplace that supports a diverse, equitable, and inclusive environment