Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI/ML solutions to enhance national security using Python and containerisation.
- Company: Leading recruitment firm with a focus on high-growth tech companies.
- Benefits: Starting salary up to £75,000, hybrid working, healthcare, and pension scheme.
- Why this job: Join a collaborative culture and work on impactful R&D projects.
- Qualifications: Solid skills in Python, containerisation, and machine learning required.
- Other info: Great personal development opportunities in a dynamic environment.
The predicted salary is between 60000 - 84000 £ per year.
A leading recruitment firm seeks a Python Software Engineer to join a high-growth company near Cheltenham. This role involves developing AI/ML solutions to enhance national security, requiring solid skills in Python, containerisation, and machine learning.
Ideal for engineers looking for R&D exposure and a collaborative culture. The position offers a starting salary of up to £75,000 with hybrid working, personal development opportunities, and additional benefits including healthcare and a pension scheme.
Python ML Engineer — Hybrid, Docker/K8s, ML/AI Focus in Gloucester employer: SF Recruitment
Contact Detail:
SF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python ML Engineer — Hybrid, Docker/K8s, ML/AI Focus in Gloucester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, 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 Python and ML projects. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Docker and Kubernetes. Practice common interview questions and think about how you can relate your past work to the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining the team and helps us get to know you better.
We think you need these skills to ace Python ML Engineer — Hybrid, Docker/K8s, ML/AI Focus in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and ML skills specifically. We want to see how your experience 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 passionate about AI/ML and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool AI/ML projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know what you've done and how it relates to the role.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at SF Recruitment
✨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 in detail, including any specific libraries or frameworks you've used in machine learning projects.
✨Showcase Your ML/AI Projects
Prepare to talk about your previous work with AI and machine learning. Bring examples of projects you've worked on, especially those that relate to national security or similar fields, and be ready to explain your thought process and the impact of your work.
✨Familiarise Yourself with Docker and Kubernetes
Since this role involves containerisation, make sure you understand how Docker and Kubernetes work. Be prepared to discuss how you've used these tools in past projects and how they can enhance deployment and scalability in ML applications.
✨Emphasise Collaboration and R&D Experience
This position values a collaborative culture, so highlight your teamwork skills. Share experiences where you've worked in a team setting, particularly in R&D environments, and how you contributed to achieving common goals.
