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- Tasks: Drive machine learning infrastructure from experimentation to production on cutting-edge AI projects.
- Company: Well-funded startup focused on innovative AI solutions.
- Benefits: Remote work, competitive salary, and opportunities for mentorship and growth.
- Why this job: Make a real-world impact while working with advanced ML systems and mentoring others.
- Qualifications: Extensive experience in ML systems and strong knowledge of neural networks.
- Other info: Collaborative environment with high-impact projects and career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A well-funded startup is seeking a Senior Machine Learning Engineer to drive machine learning infrastructure from experimentation to production. The ideal candidate will have extensive experience in building and scaling ML systems, a strong foundation in neural networks, and a collaborative mindset. This remote role allows working on cutting-edge AI projects with significant real-world applications, mentoring junior engineers while contributing to high-impact solutions.
Senior ML Engineer: Production LLMs & AI Systems (Remote) in London employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Production LLMs & AI Systems (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend virtual meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your experience with ML systems and neural networks. Share it on platforms like GitHub to give hiring managers a taste of your skills.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and consider mock interviews to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior ML Engineer: Production LLMs & AI Systems (Remote) in London
Some tips for your application 🫡
Showcase Your Experience: When writing your application, make sure to highlight your extensive experience in building and scaling ML systems. We want to see how you've driven projects from experimentation to production, so don’t hold back on the details!
Emphasise Collaboration: Since we value a collaborative mindset, be sure to mention any teamwork experiences you’ve had. Share examples of how you’ve worked with others to achieve high-impact solutions, especially in mentoring junior engineers.
Tailor Your Application: Take the time to tailor your application to our specific job description. Use keywords from the posting, like 'neural networks' and 'AI projects', to show that you’re a perfect fit for the role. It helps us see that you’ve done your homework!
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 ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Enigma
✨Know Your ML Fundamentals
Brush up on your knowledge of neural networks and machine learning principles. Be ready to discuss your past projects in detail, especially those involving production-level ML systems. This will show your depth of understanding and practical experience.
✨Showcase Your Collaboration Skills
Since this role emphasises a collaborative mindset, prepare examples of how you've worked effectively in teams. Highlight any mentoring experiences you’ve had with junior engineers, as this will demonstrate your leadership potential.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges related to ML infrastructure. Practise solving problems on platforms like LeetCode or HackerRank, focusing on algorithms and data structures relevant to machine learning.
✨Research the Company and Its Projects
Familiarise yourself with the startup's mission and recent projects. Being able to discuss how your skills align with their goals will show your genuine interest and help you stand out as a candidate who is not just looking for any job, but specifically this one.
