Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise machine learning systems for cutting-edge AI solutions.
- Company: Leading technology solutions provider based in London.
- Benefits: Competitive salary, hybrid work model, and innovative project opportunities.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong software engineering skills, especially in Python, and a relevant degree.
The predicted salary is between 42000 - 84000 £ per year.
A leading technology solutions provider is seeking a Senior Machine Learning Engineer to develop robust infrastructures for AI solutions. This London-based, hybrid role involves designing ML systems, optimizing performance, and ensuring security within deployments.
Candidates should have substantial experience in software engineering, particularly with Python, and a degree in a technical field.
This position offers a competitive salary package and opportunities to work on innovative AI projects.
Senior ML Engineer — Production‑Grade AI Pipelines in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Production‑Grade AI Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML engineers. 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 projects, especially those involving Python and AI systems. 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 knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you've optimised performance in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role and get your application noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior ML Engineer — Production‑Grade AI Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and Python. We want to see how your skills align with the role of a Senior ML Engineer, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Projects: If you’ve worked on any innovative AI projects, make sure to mention them! We’re keen to see examples of your work that demonstrate your ability to design and optimise ML systems. Links to GitHub or personal websites are a bonus!
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Anson McCade
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss how you’ve applied them in real-world scenarios, especially in developing AI pipelines. This will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Since Python is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve problems or optimise code during the interview, so practice common algorithms and data structures in Python beforehand.
✨Understand Deployment and Security
Familiarise yourself with best practices for deploying ML models securely. Be prepared to discuss how you’ve ensured security in past projects, as this is a key aspect of the role. Highlight any experience with cloud platforms or containerisation tools.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the company’s AI projects and team dynamics. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
