Role overview
- Develop, test, and maintain scalable, high-performance ML models that align with architectural designs.
- Implement and deploy AI/ML solutions by collaborating with stakeholders to understand technical requirements.
- Contribute to the development of the end-to-end AI solution architecture.
- Follow and contribute to MLOps best practices to streamline the development lifecycle.
- Create clear technical documentation for ML models, code, and operational procedures.
- Implement and test solutions to ensure AI performance, fairness, and adherence to ethical guidelines.
- Implement and maintain robust security measures within our AI systems and data pipelines.
- Collaborate effectively with team members, communicating technical details and progress.
- Support the AI apprentice, helping to build a culture of innovation and knowledge sharing.
- 3+ years in software engineering with strong experience in building and deploying AI/ML systems, including Retrieval-Augmented Generation (RAG).
- Strong, hands-on experience with scalable microservice architectures, including Kubernetes, Docker, and API gateways.
- Practical experience working with hybrid database solutions for AI, including vector, graph, and relational databases.
- Strong Python skills and practical experience applying AI/ML frameworks for tasks like text-splitting and embedding.
- Experience building and maintaining data ingestion pipelines and agentic workflows.
- Familiarity with identity and access management solutions and their integration.
- Solid experience with MLOps tools and practices, including CI/CD and performance monitoring.
- Experience with key parts of the LLM lifecycle, such as fine-tuning and deployment.
- Degree in Computer Science or a related technical/quantitative field.
- Strong communication skills to collaborate effectively within a technical team.
- 3+ years of hands-on experience in a software or AI engineering role.
- Proven experience building, deploying, and maintaining complex software applications.
- Strong attention to detail in technical work
- Ability to stay calm and focused under pressure
- Excellent communication and collaboration within technical teams
- Ability to meet deadlines and manage priorities effectively
- Proactive problem-solving in a dynamic environment
- Ability to multitask and switch context between different tasks
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.