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- Tasks: Lead the development of machine learning infrastructure and production ML pipelines.
- Company: Innovative tech startup in the UK focused on AI-driven solutions.
- Benefits: Remote work, competitive salary, and opportunities for global impact.
- Why this job: Make a real difference in AI while collaborating with senior leadership.
- Qualifications: 5+ years in scaling production ML systems and strong AI knowledge.
- Other info: Join a dynamic team with a focus on innovation and growth.
The predicted salary is between 48000 - 72000 £ per year.
A tech startup in the United Kingdom is seeking a Senior Machine Learning Engineer to lead the development of machine learning infrastructure. In this critical role, you'll own evaluation frameworks and production ML pipelines.
You should have over 5 years of experience scaling production ML systems, a strong foundation in AI and deep learning, and the ability to integrate ML into real products.
The role offers a unique opportunity to impact AI-driven solutions globally, collaborating closely with senior leadership and product teams.
Senior ML Engineer – LLMs & Production Pipelines (Remote UK) employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer – LLMs & Production Pipelines (Remote UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving production pipelines and LLMs. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both tech and non-tech teams.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior ML Engineer – LLMs & Production Pipelines (Remote UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production ML systems and deep learning. 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! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for leading our ML infrastructure. Let us know what excites you about this opportunity!
Showcase Your Impact: When detailing your past experiences, focus on the impact you’ve made in previous roles. We love to see quantifiable results, so if you’ve scaled systems or improved processes, make sure to highlight those achievements!
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’re considered for this exciting role. Plus, it’s super easy!
How to prepare for a job interview at Enigma
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially around LLMs and production pipelines. Be ready to discuss your past experiences in scaling production ML systems and how you've integrated ML into real products.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to the job. Highlight your role in developing evaluation frameworks and any challenges you faced while building production ML pipelines. Real-world examples will make you stand out!
✨Understand the Company’s Vision
Research the tech startup and understand their mission and products. Be prepared to discuss how your skills can help them achieve their goals, especially in creating AI-driven solutions. This shows you're genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewers about their current ML infrastructure and future projects. This not only demonstrates your interest but also gives you a chance to assess if the company aligns with your career aspirations.
