At a Glance
- Tasks: Build AI/ML solutions for aviation maintenance and operations using real operational data.
- Company: Join a global leader in aviation software with a focus on innovation.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact in aviation by solving complex problems with cutting-edge technology.
- Qualifications: Experience in AI systems, machine learning, and backend engineering is essential.
The predicted salary is between 60000 - 80000 £ per year.
We're building production AI/ML capabilities into aviation maintenance and operations software used globally by airlines, MROs, and CAMOs. You'll work on real problems with real operational data — predicting component failures, surfacing anomalies in live operations, mining decades of maintenance records, and getting models to run reliably in environments where downtime affects flight schedules. This is hands-on engineering: model development, data pipelines, deployment, and monitoring.
About OASES: Our Aviation group delivers mission-critical software solutions that empower airlines, airports, and aviation service providers to operate efficiently and safely. From maintenance planning and flight operations to compliance and resource management, our products enable customers to optimize performance, reduce costs, and ensure regulatory compliance.
Key Responsibilities:
- Predictive maintenance — remaining-useful-life models for components, failure prediction from sensor and event data.
- Anomaly detection — surfacing operational deviations across fleets in real time.
- Maintenance NLP — extracting structured signal from years of free-text maintenance logs and defect reports.
- Operational forecasting — parts demand, planning load, workflow bottlenecks.
- AI-assisted knowledge access — RAG and search over technical manuals, regulatory documentation, and internal operational knowledge.
- Productionisation — getting all the above to run reliably, observably, and at scale.
Requirements: We are looking for someone who understands how AI systems are built — not only how AI tools are used. Strong experience in several of the following areas:
- Machine learning model development and training.
- Time-series analysis and predictive analytics.
- LLMs, RAG pipelines, and vector search.
- Operational telemetry and data pipelines.
- MLOps and scalable AI deployment.
- Python and backend engineering.
- API and distributed systems design.
Strong advantages: aviation, predictive maintenance, industrial IoT, time-series forecasting at scale, or production LLM deployment. We are looking for an engineer capable of building operational AI systems that:
- Learn from operational data.
- Improve real-time decision-making.
- Integrate into production aviation workflows.
- Scale reliably in operational environments.
Why Join Us: This is an opportunity to help shape the future of operational aviation software and real-time operational intelligence across a global aviation software portfolio.
Remote Senior Applied AI/ML Engineer in Derby employer: Valsoft Corporation
At Valsoft Corp, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. As a Remote Senior Applied AI/ML Engineer, you'll have the opportunity to work on impactful projects that enhance aviation operations while enjoying a flexible work environment that promotes work-life balance. We are committed to your professional growth, offering continuous learning opportunities and the chance to be part of a global network that values entrepreneurial spirit and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Applied AI/ML Engineer in Derby
✨Tip Number 1
Network like a pro! Reach out to people in the aviation and AI/ML fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to predictive maintenance or anomaly detection. Use GitHub to share your code and document your thought process. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and backend engineering skills. Practice coding challenges and be ready to discuss your experience with MLOps and scalable AI deployment. We want to see how you think and solve problems!
✨Tip Number 4
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 our team and contributing to the future of operational aviation software.
We think you need these skills to ace Remote Senior Applied AI/ML Engineer in Derby
Some tips for your application 🫡
Show Your Hands-On Experience:When applying, make sure to highlight your hands-on engineering experience with AI/ML. We want to see how you've tackled real problems, like predictive maintenance or anomaly detection, using operational data.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match our job description. We love seeing candidates who take the time to connect their background with what we do.
Be Clear About Your Technical Skills:We’re looking for someone who knows their stuff when it comes to Python, MLOps, and scalable AI deployment. Make sure you clearly outline your technical skills and relevant projects in your application so we can see your expertise at a glance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in shaping the future of aviation software!
How to prepare for a job interview at Valsoft Corporation
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI systems, especially in the context of aviation. Be ready to discuss your experience with machine learning model development, predictive maintenance, and time-series analysis. They’ll want to see that you can not only use AI tools but also understand how they’re built.
✨Showcase Your Hands-On Experience
Since this role is all about hands-on engineering, prepare to share specific examples of projects where you've developed models, built data pipelines, or deployed AI solutions. Highlight any experience you have with operational telemetry and MLOps, as these will be key topics during your interview.
✨Understand the Aviation Context
Familiarise yourself with the aviation industry and the challenges it faces, particularly around maintenance and operations. Being able to speak knowledgeably about how AI can improve decision-making and operational efficiency in this field will set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your understanding of distributed systems design, API development, and scalable AI deployment. Practise explaining complex concepts clearly and concisely, as communication is just as important as technical skills in this role.
