Netrolynx AI
AI Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
Aventum Group is a leading innovator in digital transformation and advanced AI solutions. Committed to pushing the boundaries of technology, Aventum Group specializes in developing intelligent systems that enhance operational efficiency, decision-making, and customer engagement across various industries. With a focus on cutting-edge research and practical implementation, the company fosters a collaborative environment where creativity and technical excellence thrive. Aventum Group's mission is to deliver transformative digital products that empower businesses to stay ahead in a rapidly evolving technological landscape.
About The Role
We are seeking a highly skilled AI Engineer to join our dynamic team at Aventum Group. In this pivotal role, you will be responsible for designing, implementing, and deploying behavioural learning systems that integrate seamlessly into our digital products and workflows. Your work will focus on transforming advanced behavioural, sequential, and causal AI models into reliable, scalable, and maintainable production systems. These systems will underpin Digital Twins, agentic decision engines, and intelligent automation solutions that drive our digital suite. This role bridges the gap between model development and real-world application, requiring close collaboration with software engineers, ML engineers, and product teams to embed behavioural intelligence across all stages—from data pipelines and inference services to live product decisioning and monitoring.
Qualifications
The ideal candidate will possess a strong foundation in machine learning, applied statistics, or software engineering, with substantial experience in building production 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, beyond experimental or notebook stages, is required. 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 will be advantageous. Candidates should have strong Python programming skills and hands-on experience with ML frameworks like PyTorch or TensorFlow. Comfort working within API-driven systems, microservices, and orchestration frameworks is necessary, along with the ability to collaborate effectively in engineering-led product environments. A problem-solving mindset with the capacity to iterate quickly from prototypes to scalable solutions is crucial.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Design, implement, and deploy AI models that predict, optimize, or automate decision-making within production digital workflows.
- Translate behavioural and sequential modelling approaches, such as sequence prediction, intent modelling, and 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 enhancements.
- 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 through offline replay, A/B testing, shadow deployments, and simulation frameworks to ensure robustness and reliability.
- Ensure solutions meet production standards for scalability, reliability, security, and observability.
- Contribute to engineering best practices around testing, versioning, CI/CD pipelines, and model lifecycle management.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Personal training sessions to support continuous professional development.
- Additional holiday entitlement based on length of service.
- Private healthcare coverage for you and your family members.
- Company pension scheme to secure your future.
- Discretionary annual bonus based on performance and company results.
- 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.
- Health and wellbeing support programs to maintain a balanced lifestyle.
- Exclusive discounts and rewards across various partners and services.
- Death in service benefit providing financial security for your loved ones.
- Employee share scheme enabling you to participate in the company's growth.
Equal Opportunity
Aventum Group is an equal opportunity employer. We are committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness, regardless of race, ethnicity, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. We believe diversity drives innovation and excellence, and we actively promote a workplace culture that values and celebrates individual differences.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location