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- Tasks: Design and develop scalable automation solutions using Python and machine learning.
- Company: Join a global enterprise technology team in the financial services sector.
- Benefits: Competitive day rate, onsite collaboration, and opportunities for professional growth.
- Other info: Work in a dynamic environment with cross-functional teams and excellent career prospects.
- Why this job: Make an impact by shaping future-state architecture and solving complex challenges.
- Qualifications: Strong Python skills and experience with machine learning and REST APIs.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking an experienced Python ML Engineer to join a global enterprise technology team supporting critical infrastructure and automation initiatives within a leading financial services environment. In this role, you will design and develop scalable automation solutions focused on workload orchestration, backup abstraction, and self-service capabilities delivered through REST APIs. You will collaborate closely with cross-functional engineering teams and subject matter experts across backup, storage, database, and UNIX environments to help shape future-state architecture and migration strategies.
The ideal candidate will have strong Python development expertise combined with experience building reliable, enterprise-grade applications using modern technology stacks. You should be comfortable working in both greenfield and legacy environments and capable of solving complex technical challenges independently.
Key requirements include:- Strong Python programming skills
- Experience with machine learning technologies
- Hands-on experience with message queue technologies such as Kafka, RabbitMQ, or Celery
- Proven ability to build REST API services
- Excellent debugging and analytical problem-solving skills
- Strong communication and stakeholder engagement abilities
- Kubernetes or OpenShift
- UNIX or Windows systems administration
- Storage technologies including SAN, NAS, or S3
- Backup and data protection platforms such as Veritas NetBackup
- Perl scripting
Please apply today to be considered. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Locations
Python ML Engineer in Glasgow, Scotland employer: MCGREGOR BOYALL ASSOCIATES LIMITED
Contact Detail:
MCGREGOR BOYALL ASSOCIATES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python ML Engineer in Glasgow, Scotland
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in financial services. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially any machine learning applications. 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 problem-solving skills. Practice coding challenges and be ready to discuss your experience with REST APIs and message queue technologies. 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 by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Python ML Engineer in Glasgow, Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with machine learning technologies. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Python ML Engineer position and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex technical challenges. We’re looking for candidates who can think critically and solve problems independently, so let us know how you’ve done this in the past!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at MCGREGOR BOYALL ASSOCIATES LIMITED
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python programming, especially in relation to building scalable applications. Prepare to showcase specific projects where you've used Python effectively.
✨Familiarise Yourself with Machine Learning Concepts
Since the role involves machine learning technologies, it’s crucial to understand the basics and be able to discuss any relevant experience. Think about how you've applied ML in past projects and be prepared to explain your thought process and outcomes.
✨Get Comfortable with REST APIs
As you'll be building REST API services, ensure you can talk about your experience in this area. Be ready to explain how you’ve designed and implemented APIs in previous roles, including any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex technical challenges you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical problem-solving skills and how they relate to the job requirements.