At a Glance
- Tasks: Lead AI/ML projects and design innovative Lakehouse architectures.
- Company: Dynamic technology consultancy based in Greater London.
- Benefits: 20 dedicated development days and support for professional accreditations.
- Other info: Opportunity to manage junior developers and grow in a supportive environment.
- Why this job: Make a real impact in AI/ML while advancing your career.
- Qualifications: Extensive ML experience and hands-on expertise with Databricks.
The predicted salary is between 70000 - 90000 £ per year.
A technology consultancy in Greater London seeks a Senior Machine Learning Engineer to drive AI/ML projects using Databricks. The role involves leading technical delivery, designing Lakehouse architectures, and managing junior developers. Candidates should have extensive experience in ML and hands-on Databricks expertise, focusing on delivering robust and scalable solutions. The position also offers 20 dedicated development days and support for professional accreditations in partner technologies such as Databricks and AWS.
Senior ML Engineer - Databricks & MLOps Lead in London employer: Kubrick
Join a forward-thinking technology consultancy in Greater London, where innovation meets collaboration. As a Senior ML Engineer, you'll thrive in a dynamic work culture that prioritises professional growth, offering 20 dedicated development days and support for accreditations in cutting-edge technologies like Databricks and AWS. With a focus on impactful AI/ML projects, this role not only enhances your technical skills but also empowers you to lead and mentor the next generation of developers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Databricks & MLOps Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Databricks or in AI/ML. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Lakehouse architectures and how you've led teams in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior ML Engineer - Databricks & MLOps Lead in London
Some tips for your application 🫡
Show Off Your Experience:When you're writing your application, make sure to highlight your extensive experience in ML and your hands-on expertise with Databricks. We want to see how you've driven AI/ML projects in the past, so don't hold back!
Tailor Your Application:Make your application stand out by tailoring it to the job description. Use keywords from the role, like 'Lakehouse architectures' and 'technical delivery', to show us you understand what we're looking for.
Be Clear and Concise:We appreciate clarity! Keep your application clear and to the point. Use bullet points where necessary to make it easy for us to read through your qualifications and experiences.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Kubrick
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with it, including any specific projects you've worked on. Highlight how you've used Databricks to solve real-world problems and improve ML workflows.
✨Showcase Your Leadership Skills
Since this role involves managing junior developers, be prepared to share examples of how you've led teams in the past. Discuss your approach to mentoring and how you've successfully delivered projects while fostering a collaborative environment.
✨Design Lakehouse Architectures
Familiarise yourself with Lakehouse architectures and be ready to explain your design process. Think about how you would approach building scalable solutions and be prepared to discuss any relevant experiences where you've implemented such architectures.
✨Emphasise Continuous Learning
With 20 dedicated development days and support for professional accreditations, show your enthusiasm for continuous learning. Talk about any certifications you're pursuing or plan to pursue, especially in Databricks and AWS, and how they align with your career goals.
