AI Engineer

About The Company Aventum Group is a leading innovator in the digital transformation space, dedicated to delivering cutting-edge solutions that empower businesses to harness the full potential of artificial intelligence and machine learning. With a strong focus on research and development, Aventum Group specializes in creating scalable, reliable, and intelligent systems that drive operational efficiency and enhance decision-making processes. The company prides itself on fostering a collaborative and inclusive work environment, encouraging continuous learning and technological advancement to stay ahead in the rapidly evolving AI landscape. About The Role We are seeking a highly skilled AI Engineer to join our dynamic team at Aventum Group. In this role, you will be responsible for designing, implementing, and deploying behavioural learning systems that seamlessly integrate into our digital products and workflows. Your primary focus will be on transforming advanced behavioural, sequential, and causal AI models into reliable, scalable, and maintainable production systems. These systems will power Digital Twins, agentic decision engines, and intelligent automation solutions across our digital suite. The ideal candidate will bridge the gap between model development and real-world application, working closely with software engineers, machine learning engineers, and product teams to embed behavioural intelligence end-to-end—from data pipelines and inference services to live product decisioning and monitoring. Qualifications The successful candidate should possess a strong foundation in machine learning, applied statistics, or software engineering, with proven experience in building production-level AI systems. Demonstrated expertise in implementing sequence- or decision-based models such as LSTM, Transformers, Markov models, or reinforcement learning-inspired methods is essential. Practical experience deploying AI models into live environments is required, along with familiarity with behavioural modelling concepts like imitation learning, behavioural cloning, or decision process modelling. Knowledge of causal inference tools and methodologies such as DoWhy, EconML, or CausalML applied to real data is highly desirable. Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow are mandatory. Additionally, candidates should have experience building or integrating AI services via APIs, microservices, or orchestration frameworks, and be comfortable working in collaborative, engineering-led product environments. Responsibilities * Design, implement, and deploy AI models that predict, optimize, or automate decision-making within production digital workflows. * Translate behavioural and sequential modelling approaches (e.g., sequence prediction, intent modelling, imitation learning) into robust, production-ready systems. * Build and maintain end-to-end AI pipelines, including data ingestion, feature engineering, model training, inference, and monitoring. * Apply causal inference techniques to evaluate the real-world impact of AI-driven decisions and support data-informed product changes. * Integrate AI services into existing platforms via APIs, microservices, and event-driven architectures in close collaboration with engineering teams. * Partner with product and platform teams to ensure AI outputs are actionable, explainable, and aligned with business workflows. * Support Digital Twin and agentic systems by implementing behavioural dynamics, state modelling, and decision process representations. * Validate deployed models using offline replay, A/B testing, shadow deployments, and simulation frameworks. * Ensure solutions meet production standards for scalability, reliability, security, and observability. * Contribute to engineering best practices around testing, versioning, CI/CD, and model lifecycle management. Benefits * Personal training sessions to support continuous professional development. * Additional holiday entitlement based on length of service. * Private healthcare coverage for employees and their families. * Participation in the company pension scheme. * Discretionary annual bonus based on performance. * Enhanced maternity and paternity leave benefits. * A day off on your birthday to celebrate your special day. * Season ticket loan to assist with commuting costs. * Cycle to work scheme promoting healthy and sustainable commuting options. * Comprehensive health and wellbeing support programs. * Exclusive discounts and rewards through various partner schemes. * Death in service benefit providing financial security to loved ones. * Employee share scheme allowing staff to benefit from company growth. Equal Opportunity Aventum Group is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute to our collective success. We do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. Our hiring practices are designed to ensure fairness and promote equal opportunity for all applicants and employees.