Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop scalable automation solutions using Python and machine learning technologies.
- Company: Join a global enterprise tech team in the financial services sector.
- Benefits: Competitive day rate, onsite collaboration, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and teamwork.
- 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 90000 - 108000 £ 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
Desirable experience includes:
- 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.
Python ML Engineer in Glasgow 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 Python projects, especially those involving machine learning and REST APIs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Python ML Engineer in Glasgow
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 experience with REST APIs and automation solutions makes you a perfect fit for us.
Showcase Problem-Solving Skills: In your application, give examples of complex technical challenges you've tackled in the past. We love seeing how you approach problems, especially in both greenfield and legacy environments!
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!
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 and REST APIs. Practising coding challenges can help you demonstrate your expertise.
✨Familiarise Yourself with Machine Learning Concepts
Since the role involves machine learning technologies, it’s crucial to understand the basics and any relevant frameworks you’ve used. Be prepared to talk about specific projects where you've applied ML techniques and how they contributed to the overall success of the project.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex technical challenges you've faced in previous roles. Think of examples where you had to debug issues or optimise processes, and be ready to explain your thought process and the solutions you implemented.
✨Engage with Stakeholders
Strong communication is key in this role. Be ready to share experiences where you collaborated with cross-functional teams or engaged with stakeholders. Highlight how you ensured everyone was aligned and how you handled any conflicts that arose during projects.