GenAI & LLMOps ML Engineer for National Security (Hybrid) in England
GenAI & LLMOps ML Engineer for National Security (Hybrid)

GenAI & LLMOps ML Engineer for National Security (Hybrid) in England

England Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
Go Premium
A

At a Glance

  • 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 England employer: Anson McCade

As a leading IT consulting firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. With a focus on national security projects, we offer unique opportunities for professional growth and development, alongside competitive benefits such as a £7k tax-free DV bonus and the flexibility of hybrid working arrangements. Join us to be part of a forward-thinking team that leverages cutting-edge technology to make a meaningful impact.
A

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 England

✨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 technologies in past projects, as they’re key for this role.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 England

Machine Learning
Python
ML Frameworks
AWS ML Services
Containerization
Orchestration Tools
National Security Knowledge
Innovative Thinking

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and ML frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about national security and how your expertise in AWS ML services can contribute to our innovative team.

Showcase Your Hands-On Experience: We love candidates who can demonstrate their practical experience. Include specific examples of machine learning models you've designed or deployed, especially if they relate to containerization and orchestration tools.

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!

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 talking about containerization and orchestration tools like Docker and Kubernetes. Think of scenarios where you've implemented these technologies, as it will highlight your ability to work in a modern development environment.

✨Show Enthusiasm for National Security

Express your passion for working on national security projects. Research current trends and challenges in this field, and be ready to discuss how your skills can contribute to innovative solutions. This will help you stand out as a candidate who is genuinely interested in the mission.

GenAI & LLMOps ML Engineer for National Security (Hybrid) in England
Anson McCade
Location: England
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

A
  • GenAI & LLMOps ML Engineer for National Security (Hybrid) in England

    England
    Full-Time
    36000 - 60000 £ / year (est.)
  • A

    Anson McCade

    50-100
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>