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- Tasks: Design innovative AI features for a cutting-edge cybersecurity platform.
- Company: Leading UK cybersecurity software provider with a focus on innovation.
- Benefits: Competitive salary, remote work options, and comprehensive benefits package.
- Why this job: Join a dynamic team to shape the future of AI in cybersecurity.
- Qualifications: Expertise in Python, JavaScript/TypeScript, and experience with ML and generative AI.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A cybersecurity software provider in the UK seeks a Senior ML/AI Engineer to design innovative AI features for their platform. Candidates should have expertise in Python, JavaScript/TypeScript, and experience with machine learning and generative AI. This role emphasizes collaboration with product teams to enhance user experiences and requires a strong understanding of cloud computing and modern ML infrastructure. Competitive salary, remote working options, and various benefits offered.
Senior AI/ML Engineer - LLMs & GenAI in Production employer: Red Sift
Contact Detail:
Red Sift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer - LLMs & GenAI in Production
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, JavaScript/TypeScript, and generative AI. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud computing and modern ML infrastructure. Be ready to discuss how you've collaborated with product teams in the past to enhance user experiences.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that matches your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior AI/ML Engineer - LLMs & GenAI in Production
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, JavaScript/TypeScript, and any experience you have with machine learning and generative AI. We want to see how your skills can contribute to designing innovative AI features for our platform!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior ML/AI Engineer role. We love seeing candidates who understand what we’re looking for.
Collaborate and Communicate: Since this role involves working closely with product teams, make sure to mention any past experiences where you’ve collaborated effectively. We value strong communication skills and teamwork, so let us know how you’ve excelled in these areas!
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 about the hiring process!
How to prepare for a job interview at Red Sift
✨Know Your Tech Inside Out
Make sure you brush up on your Python and JavaScript/TypeScript skills. Be ready to discuss specific projects where you've implemented machine learning or generative AI. Having concrete examples will show your expertise and how you can contribute to their platform.
✨Understand the Company’s Product
Take some time to research the cybersecurity software provider and their platform. Familiarise yourself with their current features and think about how innovative AI could enhance user experiences. This will help you tailor your answers and demonstrate your genuine interest in the role.
✨Collaboration is Key
Since this role involves working closely with product teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to deliver AI solutions that meet user needs.
✨Cloud Computing Knowledge
Brush up on your understanding of cloud computing and modern ML infrastructure. Be ready to talk about how you've used these technologies in past projects and how they can be leveraged to improve the company's offerings.
