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Selected role

AI Engineer

Nomad Digital Newcastle upon Tyne, ENG, GB

Senior Full-time

About Nomad Digital

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.

Overview:

We have a great opportunity for an experienced AI Engineer to build, deploy, and maintain our innovative AI-driven products and solutions. This role requires strong, hands-on technical skills in artificial intelligence and machine learning to translate architectural designs into robust, scalable, and ethical AI systems. Working closely with architects and data scientists, you will be a key builder of the AI ecosystem that addresses our core business challenges.

This role will be based from our Newcastle head office with a hybrid working arrangement.

Essential Duties and Responsibilities:

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.

Experience Requirements

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.

Key Behavioural Competencies;

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.

Our Commitment:

Nomad Digital is committed to being an inclusive and diverse employer, as well as providing equal opportunities in employment and freedom from unlawful discrimination on the grounds of age, race, ethnic or national origin, sex, pregnancy and maternity, marital or civil partnership status, sexual orientation, gender reassignment, disability, religion or beliefs.

We encourage and welcome all job applicants, especially those from diverse backgrounds and ensure everyone is treated equally and without discrimination.

Where possible we are happy to consider flexible working arrangements or appropriate reasonable adjustments on request. To discuss further, please email [email protected].

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