At a Glance
- Tasks: Build and maintain innovative AI-driven products and solutions.
- Company: Join Nomad Digital, a leader in railway connectivity solutions.
- Benefits: Enjoy health care, life assurance, hybrid working, and 25 days annual leave.
- Why this job: Make an impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: 3+ years in software engineering with strong AI/ML experience.
- Other info: Inclusive workplace with opportunities for growth and flexible arrangements.
The predicted salary is between 36000 - 60000 £ per year.
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.
AI Engineer employer: ALSTOM Gruppe
Contact Detail:
ALSTOM Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, and any cool stuff you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI-related questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Nomad Digital.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML systems, microservice architectures, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention your collaborative spirit and problem-solving skills!
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills, especially in Python and MLOps practices. We love seeing specific examples of how you've built and deployed AI solutions in the past, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at ALSTOM Gruppe
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially those mentioned in the job description. Be ready to discuss your experience with scalable microservice architectures, MLOps practices, and any specific frameworks you've used. This will show that you're not just familiar with the terms but have practical experience.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built or deployed AI/ML systems. Highlight your role, the challenges you faced, and how you overcame them. If you can, bring along examples of your work or documentation that illustrates your contributions. This will give the interviewers a clear picture of your capabilities.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex technical concepts in simple terms. You might be asked to explain your thought process or how you approach problem-solving. Being able to communicate effectively with both technical and non-technical stakeholders will set you apart.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI initiatives, team dynamics, or their approach to ethical AI. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.