Graduate role focused on building AI-ready cloud platforms, developing data pipelines, and translating business needs into scalable AI solutionsThe roleYou’ll design and build scalable, AI‑ready solutions across data, cloud, and business workflows — creating reusable data pipelines, turning business needs into practical AI solutions, and deploying secure, enterprise‑grade cloud environments.This role is perfect for a graduate with a background in data, computing, engineering, or related fields who’s curious about AI and excited to work where data, cloud, and real‑world business problems come together.What will I be doing?Platform Engineering:Deploy secure, repeatable AI cloud environments using Infrastructure as Code.Support CI/CD pipelines for AI infrastructure and data deployments.Help manage core platform services including security, networking, and monitoring.Collaborate with AI & Data Engineers and document reusable platform patterns.Data Engineering:Build and maintain data pipelines for AI and automation use cases.Prepare structured datasets, vector stores, and model‑ready data.Implement monitoring and validation to ensure data quality and reliability.Create reusable data components aligned to platform and business needs.Business Technology:Translate business problems into clear AI and automation requirements.Support discovery sessions, workshops, and solution design.Configure, test, and validate AI solutions during delivery.Support launch, adoption, and continuous improvement through Agile delivery.What will I bring to the role?A curious problem‑solver with strong analytical thinking and an interest in AI, cloud, and data‑driven decision‑making.Comfortable learning in ambiguous environments, experimenting with new tools, and building solutions through hands‑on experience.A collaborative communicator with some exposure to cloud, scripting, or automation through study, projects, or self‑learning.A degree in a relevant field (e.g. Computer Science, Data, Engineering, Cloud, Business Technology, or similar).A solid foundation in digital systems, with some exposure to cloud platforms, coding, or data tools through study, projects, or self‑learning.An interest in AI, modern delivery practices (Agile/DevOps), and how scalable technology solutions are built in the real world.Why work for ANS?At ANS, we’ve created a place where everyone can be themselves, and we empower our people to get the job done. Openness, ambition, honesty, and passion are what drive us every day. We are bold, courageous, and innovative – and we do it like no other. We invest in our people. In training, development, health and more – we give you the benefits and flexibility to maintain a happy work-life balance.We’re proud of the inclusive, fun, dynamic environment we’ve created. It’s a safe space that works for all. You don’t have to be a techie to work in tech. Bring your authentic self and find your dream role here. What’s in it for you?With fantastic benefits, an inclusive culture, and a cool office space, we’re your kind of workplace. Company benefitsAs standard: 25 days’ holiday, plus you can buy up to 5 more daysA little extra: we’ll give you your birthday off, and an extra celebration day for whatever you want! Tying the knot? You get 5 days’ additional holiday in the year you get married. Oh, and 5 volunteer days!Private health insurancePension contribution match and 4 x life assuranceFlexible working and work from anywhere for up to 30 days per year (some exceptions)Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full payCompany social events – get ready for a jam-packed calendarElectric car scheme12 days of personal growth development timeANS are an equal opportunities employer. We encourage diversity and anyone applying for a role at our organisation can be assured that their application will be treated fairly, regardless of age, disability, gender reassignment, gender expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief and sex or sexual orientation. We sometimes ask for information relating to individuals for equal opportunities monitoring purposes only.
Posted 17 days ago
