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- Tasks: Design and develop scalable automation solutions using Python and machine learning technologies.
- 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 advancement opportunities.
- Why this job: Make an impact by shaping future-state architecture and solving complex technical challenges.
- Qualifications: Strong Python skills and experience with machine learning and REST APIs.
The predicted salary is between 45000 - 54000 £ 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.
Python ML Engineer in Milton 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 Milton
✨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 referrals.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving machine learning. 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. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Python ML Engineer in Milton
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 great fit for our team.
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: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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. Practise coding challenges that focus on Python to 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 worked with. Be prepared to talk about specific projects where you've implemented ML solutions 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 specific examples where you used your debugging and analytical skills to resolve issues, particularly in enterprise-grade applications. This will highlight your ability to tackle problems independently.
✨Engage with Stakeholders Effectively
Strong communication is key in this role, so think about how you can demonstrate your stakeholder engagement abilities. Prepare examples of how you've collaborated with cross-functional teams or communicated technical concepts to non-technical stakeholders in the past.