• Construir pipelines CI/CD de agentes en Azure. • Desplegar y operar soluciones IA. • Integrar AI Foundry con entornos corporativos. • Monitorizar rendimiento y disponibilidad. • Automatizar tareas de operación.

• Implementar pipelines CI/CD para agentes. • Gestionar despliegues en AWS. • Monitorizar y operar soluciones en producción. • Integrar AWS AgentCore con estándares corporativos. • Automatizar procesos de operación.

• Build AI-driven gameplay analytics and AI-native data workflows across core game systems • Work with large-scale gameplay and player behavior datasets using modern AI tools and workflows • Use tools such as Claude, Cursor, and ChatGPT to build and improve ETL pipelines, tracking validation, and analytics systems • Build AI-assisted dashboards, funnels, monitoring systems, and reporting workflows • Analyze gameplay and player behavior data to support product, balancing, and monetization decisions • Help identify missing or broken tracking and improve overall data quality using AI-assisted workflows • Create AI-powered personalization and offer systems

Role Description We are seeking a Data Scientist to design, build, and deliver production ready data science and machine learning solutions for enterprise and regulated clients. This is a hands-on role covering the full lifecycle - from data exploration and feature engineering through to model deployment, evaluation, and iteration. The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation. Key Responsibilities - Design, build, and deploy machine learning solutions that solve real business problems, moving from prototype to production. - Apply traditional ML (e.g., regression/classification/clustering) and deep learning techniques where appropriate, selecting models based on evidence and constraints. - Demonstrate strong ML fundamentals, including the mathematics behind models (probability, statistics, optimisation, linear algebra), and explain trade-offs clearly. - Develop and deploy ML and data science solutions from proof of concept to production. - Perform data exploration, feature engineering, and model development on large datasets. - Track experiments, metrics, and model versions (e.g. MLflow). - Collaborate with data engineers and AI engineers to integrate models into platforms. - Continuously improve models based on performance, feedback, and data drift. Qualifications - 5+ years in applied machine learning and deep learning roles. - Strong grounding in core ML concepts and their mathematical basis: - Probability & statistics, hypothesis testing, bias/variance, regularisation. - Optimisation (e.g., gradient-based methods), loss functions, evaluation metrics. - Linear algebra fundamentals used in ML (vectors/matrices, decompositions at a practical level). - Solid practical experience with traditional ML modelling (feature engineering, model selection, validation, and error analysis). - Demonstrable exposure to deep learning (architectures, training dynamics, evaluation), beyond “surface-level” familiarity. - Proven ability to build good quality software, not just models—clean code, testing, debugging, and maintainable design. - Strong programming skills (typically Python; additional languages a plus) and experience integrating ML into production systems. - A clear problem-solving mindset: structured thought process, ability to reason through ambiguous requirements, and iterate effectively. - Hands-on experience delivering ML solutions end-to-end, including prototyping, validation, and production/operations. - Experience with Databricks and Spark. - Hands-on use of MLflow or similar model lifecycle and MLOps frameworks. - Experience with deep learning frameworks (e.g. PyTorch). - Practical experience with GenAI / LLMs. - Exposure to AWS Bedrock & AWS SageMaker. - Strong SQL and data analysis skills. Nice to Have - Experience in regulated or security conscious environments. - Familiarity with model governance, monitoring, and managing model performance over time. - Exposure to production model deployment patterns. - Familiarity with Responsible AI and model governance. - Client facing or consulting experience. Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance. - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. - And many more exciting benefits… drop us a note to find out more. Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. - UK & Ireland's premier AWS, Microsoft & Oracle partner. - 3300+ strong, €350/£300m revenue business. - 10+ years as a Great Place to Work in Ireland & UK. - Best Workplace for Women in the UK & Ireland by GPTW. - Best Workplace for Wellbeing in the UK by GPTW.