AI Engineer

About The Company

Aventum Group is a leading innovator in digital transformation and artificial intelligence solutions. Committed to pushing the boundaries of technology, Aventum Group specializes in developing cutting-edge AI systems that enhance business operations, improve decision-making, and drive digital excellence. With a focus on delivering scalable and reliable solutions, the company serves a diverse range of industries including finance, healthcare, manufacturing, and technology. Aventum Group prides itself on fostering a collaborative environment that encourages innovation, continuous learning, and professional growth, making it an ideal place for talented individuals to thrive and contribute to impactful projects.

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 instrumental in designing, implementing, and deploying behavioural learning systems that seamlessly integrate into our digital products and workflows. Your primary focus will be transforming advanced behavioural, sequential, and causal AI models into dependable, scalable, and maintainable production systems. These systems will power our Digital Twins, agentic decision engines, and intelligent automation solutions, enabling our clients to achieve smarter, data-driven outcomes. The role acts as a bridge between model development and real-world implementation, requiring close collaboration with software engineers, machine learning engineers, and product teams to embed behavioural intelligence across the entire lifecycle—from data pipelines and inference services to live decision-making and system monitoring.

Qualifications

The ideal candidate will have a strong foundation in machine learning, applied statistics, or software engineering with a proven track record of building production systems. Demonstrated experience in implementing sequence- or decision-based models such as LSTM, Transformers, Markov models, or reinforcement learning-inspired methods in real-world applications is essential. You should have practical experience deploying AI models into production environments, beyond experimental or notebook-based work. Familiarity with behavioural modelling concepts like imitation learning, behavioural cloning, or decision process modelling is highly desirable. Additionally, experience with causal inference tools and methodologies such as DoWhy, EconML, or CausalML applied to real data is required. Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow are necessary skills. Candidates should also have experience building or integrating AI systems via APIs, services, pipelines, or orchestration frameworks, and be comfortable working in engineering-led product environments that balance research insights with delivery constraints.

Responsibilities

• Design, implement, and deploy AI models that predict, optimise, 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 enhance skills and knowledge
• Additional holiday entitlement based on length of service
• Private healthcare coverage for you and your family members
• Company pension scheme
• Discretionary annual bonus based on performance
• Enhanced maternity and paternity leave benefits
• Day off on your birthday to celebrate your special day
• Season ticket loan to support commuting needs
• Cycle to work scheme promoting healthy and eco-friendly travel
• Health and wellbeing support programs
• Exclusive discounts and rewards for employees
• Death in service benefit for financial security
• Employee share scheme allowing you to participate in company ownership

Equal Opportunity

Aventum Group is committed to creating an inclusive environment where all employees are valued and respected. We are an equal opportunity employer and do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. We believe diversity drives innovation and are dedicated to fostering a workplace culture that promotes fairness, equity, and opportunity for all candidates and employees.