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For Companies At a Glance
- Tasks: Support the AI team in developing and deploying innovative AI-driven products.
- Company: Join Nomad Digital, a leader in passenger connectivity solutions for the railway industry.
- Benefits: Enjoy health care, life assurance, hybrid working, and 25 days annual leave.
- Why this job: Kickstart your career in AI with hands-on experience and mentorship from senior engineers.
- Qualifications: Pursuing or completed a degree in Computer Science; basic AI/ML knowledge required.
- Other info: Inclusive workplace with flexible arrangements and excellent growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
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.
Overview
We have a great opportunity for an aspiring Junior AI Engineer to support the AI team in the development and deployment of our AI-driven products and solutions. This is an entry-level role focused on learning and developing foundational skills in artificial intelligence and machine learning. Under the guidance of senior engineers, you will assist with coding, data preparation, and testing, gaining the hands-on experience needed to grow into a key contributor. This role will be based from our Newcastle head office with a hybrid working arrangement.
Essential Duties and Responsibilities
- 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.
Experience Requirements
- 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.
Key Behavioural Competencies
- 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.
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 HR@nomadrail.com.
Junior AI Engineer in Newcastle upon Tyne employer: Nomad Digital
Contact Detail:
Nomad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Nomad Digital. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or any relevant coursework. This gives you a chance to demonstrate your passion and knowledge beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Nomad Digital.
We think you need these skills to ace Junior AI Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Show Your Passion for AI/ML: When you're writing your application, let us see your enthusiasm for artificial intelligence and machine learning. Share any personal projects or coursework that highlight your interest and skills in this area. We love to see candidates who are genuinely excited about the field!
Tailor Your Application: Make sure to customise your application to fit the Junior AI Engineer role. Highlight relevant experiences and skills that align with the job description. This shows us that you've done your homework and are serious about joining our team at Nomad Digital.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Nomad Digital
✨Know Your AI Basics
Before heading into the interview, brush up on your foundational knowledge of AI and machine learning. Be ready to discuss any personal projects or coursework that showcase your interest and understanding of these concepts. This will show Nomad Digital that you're genuinely passionate about the field.
✨Familiarise with MLOps
Since the role involves MLOps best practices, make sure you understand the basics of the AI development lifecycle. Research common tools and methodologies used in MLOps, and be prepared to discuss how you would apply them in real-world scenarios during the interview.
✨Prepare for Technical Questions
Expect technical questions related to Python, containerization concepts like Docker and Kubernetes, and database types. Practise coding problems and be ready to explain your thought process. This will demonstrate your problem-solving skills and readiness to tackle challenges in the role.
✨Show Your Team Spirit
Nomad Digital values collaboration, so highlight your ability to work well in a team. Share examples of how you've communicated progress on tasks or sought help when needed. This will reflect your proactive approach and eagerness to learn from senior engineers.
