AI Engineer

ALSTOM Gruppe; Newcastle upon Tyne; Hybrid; GBP 50,000 - GBP 65,000; Full time

Job summary

A leading provider of railway connectivity solutions is seeking an experienced AI Engineer to join their Newcastle team. The successful candidate will build, deploy, and maintain AI-driven products, utilizing strong technical skills in AI and ML. Responsibilities include developing scalable ML models, collaborating with stakeholders, and implementing MLOps best practices. This hybrid role offers a dynamic environment with excellent benefits including health care and a contributory pension scheme.

Benefits

Health Care Cash Plan

Life Assurance

Critical Illness Cover

Contributory Pension Scheme

25 Days of Annual Leave

Hybrid Working Model

Qualifications

• 3+ years in software engineering with strong experience in AI/ML systems.
• Experience working with hybrid database solutions.
• Proven ability to meet deadlines under pressure.

Responsibilities

• Develop, test, and maintain scalable ML models.
• Collaborate with stakeholders to implement AI solutions.
• Create clear technical documentation for ML models.

Skills

Software engineering

AI/ML systems deployment

Microservice architectures

Python

Data ingestion pipelines

Problem-solving

Communication

Education

Degree in Computer Science or related field

Tools

Kubernetes

Docker

MLOps tools

Job description

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 teamwork 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.
• 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 [e-mail].