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- Tasks: Design and deploy advanced machine learning models for behavioural authentication.
- Company: Leading tech recruitment firm in the UK with a focus on AI innovation.
- Benefits: Autonomy, supportive culture, and impactful projects.
- Why this job: Join a rapidly growing AI team and make a real difference.
- Qualifications: Experience with deep learning frameworks and time-series data; PhD preferred.
- Other info: Opportunity to work in a dynamic environment with a focus on innovation.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech recruitment firm in the UK is looking for a Senior ML Engineer to join a rapidly growing AI team. The role involves designing and deploying advanced machine learning models for behavioural authentication using real-world sensor data.
Candidates should have experience with:
- Deep learning frameworks
- Time-series data
- Cloud deployment
A PhD in a relevant field is preferred. Enjoy autonomy and the opportunity to work on impactful projects in a supportive culture that values innovation.
Senior ML Engineer: Behavioral AI with Edge Inference in Manchester employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Behavioral AI with Edge Inference in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and behavioural AI. This will help you stand out and demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of time-series data and cloud deployment. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior ML Engineer: Behavioral AI with Edge Inference in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deep learning frameworks and time-series data. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about behavioural AI and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool machine learning projects, especially those involving real-world sensor data, make sure to mention them. We love seeing practical applications of your skills!
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 our team!
How to prepare for a job interview at 55 Exec Search
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models, especially those related to behavioural authentication. Be ready to explain how you've designed and deployed these models in the past, and how they can be applied to real-world sensor data.
✨Showcase Your Deep Learning Expertise
Prepare to dive deep into your knowledge of deep learning frameworks. Bring examples of projects where you've used these frameworks effectively, and be ready to discuss any challenges you faced and how you overcame them.
✨Demonstrate Your Cloud Deployment Skills
Since cloud deployment is key for this role, brush up on your experience with cloud platforms. Be prepared to talk about specific tools and services you've used, and how they contributed to the success of your machine learning projects.
✨Emphasise Your Autonomy and Innovation
This role values autonomy and innovation, so think of examples where you've taken initiative or led a project. Share how your innovative ideas have made an impact, and how you thrive in a supportive culture that encourages creativity.
