At a Glance
- Tasks: Design AI solutions and manage the MLOps lifecycle for innovative data science projects.
- Company: 66degrees, a forward-thinking tech company based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team and enhance your career in a rapidly evolving field.
- Why this job: Make a real impact on how businesses leverage data with cutting-edge AI technology.
- Qualifications: Extensive machine learning experience and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
66degrees, located in London, is seeking an AI/ML Engineer to contribute to cutting-edge data science projects. The ideal candidate will have extensive experience in machine learning, strong Python skills, and a proven ability to communicate complex insights to stakeholders.
This role offers the opportunity to impact how businesses utilize data daily and includes responsibilities such as:
- Designing AI solutions
- Managing MLOps lifecycle
- Translating technical concepts into business value
London AI/ML Engineer — Generative AI & MLOps Expert employer: 66degrees
At 66degrees, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. Located in the vibrant city of London, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment where your contributions directly influence the future of data science. Join us to be part of a forward-thinking team that values creativity and impactful solutions in the realm of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land London AI/ML Engineer — Generative AI & MLOps Expert
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any generative AI work you've done. This gives potential employers a taste of what you can bring to the table, and we all know actions speak louder than words.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with MLOps. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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 London AI/ML Engineer — Generative AI & MLOps Expert
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and Python in your application. We want to see how you've tackled complex problems and what tools you've used to get there!
Communicate Clearly:Since you'll be translating technical concepts into business value, it's crucial to demonstrate your communication skills. Use clear language and examples in your application to show us how you can make complex insights understandable.
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 AI/ML Engineer role. We love seeing candidates who take the extra step to connect their experience with our needs.
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 opportunity to work on cutting-edge data science projects!
How to prepare for a job interview at 66degrees
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific projects you've worked on, especially those involving generative AI. The more you can demonstrate your technical expertise, the better!
✨Communicate Like a Pro
Since the role involves translating complex insights into business value, practice explaining your past projects in simple terms. Think about how you can convey technical details to non-technical stakeholders. This will show that you can bridge the gap between tech and business.
✨Showcase Your MLOps Knowledge
Familiarise yourself with the MLOps lifecycle and be prepared to discuss how you've managed it in previous roles. Highlight any tools or frameworks you've used, as this will demonstrate your hands-on experience and understanding of best practices.
✨Research 66degrees
Take some time to learn about 66degrees and their projects. Understanding their focus areas and values will help you tailor your answers and show genuine interest in the company. Plus, it’ll give you a chance to ask insightful questions during the interview!
