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- Tasks: Create innovative solutions using data science and machine learning to solve complex challenges.
- Company: Join Databricks, a leader in data analytics with a vibrant culture.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a mission to revolutionise data usage and make a real-world impact.
- Qualifications: Experience in data science, machine learning, and strong problem-solving skills.
- Other info: Collaborative team environment focused on creativity and continuous improvement.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, United Kingdom
Industry: Professional Business Services (Consultancy, Legal, etc)
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You will work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.
Join us in our quest to change how people work with data and make a better world!
Reporting to the Manager, Field Engineering.
The impact you will have:
- Develop customer engagement strategies in partnership with...
Sr. Solutions Architect (DS/ML/GenAI/LLM) in London employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Solutions Architect (DS/ML/GenAI/LLM) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your expertise in data science and machine learning. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to solutions architecture. We all know that confidence is key, so get comfortable talking about your experience!
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Sr. Solutions Architect (DS/ML/GenAI/LLM) in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and analytics shine through. We want to see how excited you are about the role and how you can contribute to our mission at Databricks.
Tailor Your CV: Make sure to customise your CV to highlight relevant experience in solutions architecture, especially in DS/ML/GenAI/LLM. We love seeing how your background aligns with our needs, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the role. Share specific examples of how you've tackled complex data challenges and how you can help our customers succeed.
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 the role. Plus, it shows you’re proactive, which we love!
How to prepare for a job interview at Menlo Ventures
✨Know Your Tech Inside Out
As a Sr. Solutions Architect, you'll need to showcase your expertise in data science, machine learning, and generative AI. Brush up on the latest trends and technologies in these areas, and be ready to discuss how they can be applied to solve real-world problems. Prepare examples of past projects where you've successfully implemented these technologies.
✨Understand Their Culture
Databricks values proactiveness and a customer-centric mindset. Research their core values and think about how your personal values align with theirs. Be prepared to share instances where you've demonstrated these qualities in your previous roles, showing that you can fit into their collaborative and innovative environment.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think through potential customer challenges related to data management and analytics, and prepare structured responses that highlight your approach to developing customised solutions. Use the STAR method (Situation, Task, Action, Result) to frame your answers effectively.
✨Showcase Your Communication Skills
As a Solutions Architect, you'll need to communicate complex ideas clearly to customers. Practice explaining technical concepts in simple terms, as if you were talking to someone without a technical background. During the interview, focus on being articulate and engaging, demonstrating your ability to connect with clients and team members alike.
