At a Glance
- Tasks: Lead AI/ML projects and design innovative Lakehouse architectures using Databricks.
- Company: Dynamic technology consultancy based in Greater London.
- Benefits: 20 dedicated development days and support for professional accreditations.
- Other info: Exciting opportunity for career growth in a collaborative environment.
- Why this job: Make a real impact in AI/ML while leading a talented team.
- 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 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
✨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 will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Lakehouse architectures and how you've led teams in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have 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
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 any hands-on work you've done with Databricks. We want to see how you've tackled challenges and delivered robust solutions in the past!
Tailor Your Application:Don’t just send a generic application! Tailor it to the role by mentioning specific projects or experiences that align with leading technical delivery and designing Lakehouse architectures. This shows us you’re genuinely interested in the position.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to break down your skills and experiences, especially when managing junior developers.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 and any projects you've led using this platform. Highlight specific challenges you faced and how you overcame them.
✨Showcase Your ML Expertise
Prepare to talk about your extensive experience in machine learning. Bring examples of robust and scalable solutions you've delivered, and be ready to explain the methodologies you used. This will demonstrate your capability to lead AI/ML projects effectively.
✨Leadership Skills Matter
Since the role involves managing junior developers, think about your leadership style. Be prepared to share examples of how you've mentored others or led a team through a project. This will show that you're not just technically skilled but also a great leader.
✨Embrace Continuous Learning
With 20 dedicated development days and support for professional accreditations, express your enthusiasm for continuous learning. Mention any relevant certifications you're pursuing or plan to pursue, especially in partner technologies like AWS. This shows you're committed to growing in your role.
