Role overview
- Assist in the development, testing, and maintenance of ML models under the guidance of senior engineers.
- Learn how to translate business problems into technical requirements for AI/ML solutions.
- Support the team in building and maintaining data pipelines and model deployment workflows.
- Learn and apply MLOps best practices to assist with the AI development lifecycle.
- Assist in creating clear documentation for code, models, and operational procedures.
- Support the team in testing for AI performance, fairness, and ethical considerations.
- Learn and apply security best practices to help safeguard AI systems and data.
- Actively participate in team meetings and communicate progress on assigned tasks.
- Receive mentorship from senior engineers and architects to grow technical skills.
- A foundational knowledge of software engineering principles and a demonstrated interest in AI/ML through personal projects or coursework.
- Basic understanding of containerization concepts (e.g., Docker, Kubernetes).
- Familiarity with different database types, including relational and NoSQL.
- Proficiency in Python and exposure to common AI/ML frameworks.
- A strong willingness to learn about data ingestion, automation tools, and agentic workflows.
- An interest in learning about MLOps and the end-to-end software development lifecycle.
- Currently pursuing or recently completed a degree in Computer Science or a related technical/quantitative field.
- 1 year + of experience, including internships or significant academic AI projects.
- Demonstrated passion for software development and a strong interest in AI/ML through personal or academic projects.
- A strong desire to learn and develop a keen attention to detail
- A positive attitude and eagerness to tackle new challenges
- Good communication skills and a willingness to ask questions
- Ability to manage and prioritize assigned tasks
- A proactive and curious approach to problem-solving
- Eagerness to learn and contribute to a fast-paced team
- A collaborative, team-first mindset
Benefits
- Health Care Cash Plan.
- Life Assurance.
- Critical Illness Cover
- Contributory Pension Scheme via Aviva.
- 25 Days of Annual Leave with enhanced leave based on tenure.
- Annual Leave Purchase Scheme
- Workplace Nursery Scheme
- Car Lease Scheme
- Employee Referral Scheme / Employee Recognition Scheme.
- Company Sick Plan.
- Hybrid Working Model - The role will consist of a mix of working from home and being in our Newcastle Head Office.
About the company
Nomad Digital is the world's leading provider of passenger and fleet connectivity solutions to the railway industry. Founded in 2002, and headquartered in the UK, currently serving more than 80+ global customers - in more than 40 countries - Nomad designs, builds, deploys and manages passenger Wi-Fi and on-board passenger infotainment systems. Nomad also provides remote online condition-based monitoring and maintenance solutions for optimising fleet management, operational performance and improving fuel economy.
When you join Nomad Digital, you will join a forward thinking, fast-growing, fun environment with access to some of the very latest technology in its field. You will work with experts who innovate collaboratively, creating an environment of team work and trustworthiness.