Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy impactful AI systems for defence and national security projects.
- Company: Leading AI consultancy with a focus on human-centric solutions.
- Benefits: Competitive salary, hybrid working, and opportunities for career development.
- Why this job: Make a real difference in national security while working with cutting-edge AI technology.
- Qualifications: Strong software engineering skills and experience in machine learning lifecycle.
- Other info: Join a high-calibre team and work on critical national challenges.
The predicted salary is between 48000 - 72000 £ per year.
Senior Machine Learning Engineer London
Are you a Senior ML Engineer who wants to build AI that genuinely matters?
Our client is a leading digital technology organisation delivering AI, data, and software solutions to UK public sector and national security customers.
Senior Machine Learning Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your expertise in Python and ML frameworks.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders.
✨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 get noticed by our hiring team.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with Python, MLOps, and any relevant projects that showcase your skills in deploying AI systems.
Showcase Your Projects: Include specific examples of projects you've worked on, especially those involving machine learning lifecycle and cloud technologies like AWS or Azure. This helps us see your hands-on experience in action!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your technical expertise and how it aligns with our needs in defence and national security.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at Anson McCade
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, PyTorch, TensorFlow, and cloud platforms like AWS or Azure. Brush up on your MLOps knowledge too, as you'll need to demonstrate your ability to design and deploy production-grade AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've tackled complex problems using machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show your potential employer that you can handle high-stakes projects effectively.
✨Communicate Clearly with All Stakeholders
Since the role involves engaging with both technical and non-technical stakeholders, practice explaining your work in simple terms. Think of examples where you’ve successfully communicated complex ideas to diverse audiences, as this will highlight your strong communication skills.
✨Demonstrate Leadership and Mentorship
If you have experience mentoring junior engineers, be sure to highlight this during your interview. Share specific instances where you guided others, as this will showcase your leadership abilities and your commitment to fostering a collaborative team environment.
