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- Tasks: Lead the design and development of cutting-edge AI/ML systems using Python.
- Company: Join a globally renowned organisation at the forefront of AI innovation.
- Benefits: Enjoy a contract role with immediate impact and long-term potential.
- Why this job: Shape new AI products and work on high-visibility projects in an engineering-driven culture.
- Qualifications: Strong Python skills, experience in production ML systems, and leadership experience required.
- Other info: Ideal for those who thrive in high-autonomy environments and want to solve real-world problems.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a Principal / Senior AI/ML Engineer with a strong foundation in software engineering and Python development, to join a globally renowned organisation at the forefront of AI innovation. This is a rare chance to work on greenfield AI/ML projects, delivering transformative solutions that will shape the future of intelligent systems.
You will be a hands-on technical leader, combining architectural insight with coding expertise to drive the design, development, and deployment of scalable machine learning platforms and models. This is a contract position offering immediate impact and long-term potential.
- Architect and implement production-ready ML systems using Python and modern frameworks.
- Lead technical design discussions and influence system-level decisions across greenfield initiatives.
- Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment.
- Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality.
- Collaborate with cross-functional teams including data scientists, platform engineers, and product stakeholders to align AI solutions with business goals.
Experience
- Strong commercial experience in Python with a deep understanding of software engineering principles.
- Demonstrated expertise in building ML systems in production environments (not just notebooks or research).
- Proven leadership experience in either a senior IC or tech lead/managerial capacity.
- Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
- Comfortable navigating greenfield environments and driving projects from concept to execution.
- Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline.
Why Join?
- Greenfield impact: Shape the direction of new AI/ML products from day one.
- Global scale: Work with one of the world’s most respected organisations on high-visibility projects.
- Engineering-driven culture: Prioritising quality, autonomy, and continuous learning.
If you’re a seasoned AI/ML engineer who thrives in high-autonomy environments, and you’re passionate about solving real-world problems with software and data — we’d love to hear from you.
Principal ML/AI Engineer - Python | Greenfield AI Platform (Contract) employer: GL Global
Contact Detail:
GL Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal ML/AI Engineer - Python | Greenfield AI Platform (Contract)
✨Tip Number 1
Familiarise yourself with the latest AI/ML frameworks and libraries like TensorFlow and PyTorch. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Prepare to showcase your leadership skills by discussing past projects where you led a team or influenced technical decisions. Highlighting your ability to drive projects from concept to execution will resonate well with the hiring managers.
✨Tip Number 3
Engage with the AI/ML community through forums, webinars, or local meetups. Networking can provide insights into industry trends and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 4
Be ready to discuss your approach to building scalable ML systems and best practices in software engineering. This includes CI/CD, testing, and containerisation, as these are crucial for the role and will show your alignment with the company's engineering-driven culture.
We think you need these skills to ace Principal ML/AI Engineer - Python | Greenfield AI Platform (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and software engineering principles. Emphasise any leadership roles you've held and specific projects where you've built ML systems in production environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your skills align with the job requirements. Mention your experience with greenfield projects and your ability to drive initiatives from concept to execution.
Showcase Relevant Projects: Include examples of past projects that demonstrate your expertise in building scalable ML pipelines. Highlight your familiarity with AI/ML libraries and frameworks like scikit-learn, PyTorch, or TensorFlow.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, mention any experience you have collaborating with data scientists, platform engineers, or product stakeholders. This will show your ability to align AI solutions with business goals.
How to prepare for a job interview at GL Global
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented ML systems, focusing on the challenges you faced and how you overcame them. This will demonstrate your hands-on coding skills and understanding of software engineering principles.
✨Discuss Architectural Insights
As a Principal Engineer, you'll need to lead technical discussions. Be ready to share your thoughts on system architecture for ML platforms. Discuss how you would approach designing scalable systems and the trade-offs involved in different architectural choices.
✨Emphasise Leadership Experience
Talk about your previous leadership roles, whether as a tech lead or in a managerial capacity. Provide examples of how you've influenced team decisions and driven projects forward, especially in greenfield environments. This will show your ability to guide teams and projects effectively.
✨Align AI Solutions with Business Goals
Prepare to discuss how you've collaborated with cross-functional teams in the past. Share examples of how you ensured that AI solutions met business objectives, and be ready to explain your approach to aligning technical work with broader company goals.
