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- Tasks: Design and deploy machine learning models for national security projects.
- Company: Leading IT consulting firm with a focus on innovation.
- Benefits: Hybrid working, £7k tax-free DV bonus, and dynamic work environment.
- Why this job: Join an innovative team using cutting-edge technology to make a difference.
- Qualifications: Proficiency in Python, ML frameworks, and AWS ML services.
- Other info: Exciting opportunities for growth in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading IT consulting firm is seeking a Machine Learning Engineer specializing in designing and deploying machine learning models for national security projects. The ideal candidate will have proficiency in Python and ML frameworks, hands-on experience with AWS ML services, and familiarity with containerization and orchestration tools.
This position offers hybrid working and a £7k tax-free DV bonus after clearance completion. Join an innovative team utilizing cutting-edge technology in a dynamic environment.
GenAI & LLMOps ML Engineer for National Security (Hybrid) in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI & LLMOps ML Engineer for National Security (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in national security or ML roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to national security. This is your chance to demonstrate your expertise in Python and AWS ML services.
✨Tip Number 3
Prepare for the interview by brushing up on containerization and orchestration tools. Be ready to discuss how you've used these in past projects, as this will show you're not just a theory person but someone who gets their hands dirty.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GenAI & LLMOps ML Engineer for National Security (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and ML frameworks right from the get-go. We want to see how your skills align with our needs, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for this role. Mention your hands-on experience with AWS ML services and any relevant projects you've worked on. This helps us see how you fit into our innovative team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to understand your background and expertise without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in national security projects.
How to prepare for a job interview at Anson McCade
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and ML frameworks. Be ready to discuss specific projects where you've designed and deployed models, especially in the context of national security. This will show your technical prowess and relevance to the role.
✨Familiarise with AWS ML Services
Since the job requires hands-on experience with AWS ML services, take some time to review the key features and benefits of these tools. Be prepared to share examples of how you've used them in past projects, as this will demonstrate your practical knowledge.
✨Containerization and Orchestration Know-How
Get comfortable with containerization and orchestration tools like Docker and Kubernetes. You might be asked about how you've implemented these technologies in your work, so having a couple of solid examples ready will help you stand out.
✨Show Enthusiasm for National Security
This role is all about national security, so make sure to express your passion for the field. Research current trends and challenges in national security related to machine learning, and be ready to discuss how you can contribute to innovative solutions.
