At a Glance
- Tasks: Lead AI projects and deliver innovative solutions for top clients using Databricks.
- Company: Join a dynamic data engineering and AI company backed by Databricks.
- Benefits: Remote work, flexible PTO, world-class educational benefits, and competitive salary.
- Why this job: Be the first AI Engineer in the UK and shape our growth journey.
- Qualifications: 5+ years in Data Science, strong Python skills, and experience with Databricks.
- Other info: Impactful role in a high-transparency culture with excellent career development.
The predicted salary is between 70000 - 100000 £ per year.
We are currently looking for a Principal AI Engineer to join us remotely in the UK. As we build out our UK hub to support our GTM strategy, this role will be our first AI Engineer hire, complementing the data engineering and sales teams we already have in place. In this role, you will work with our EMEA and US customers to help them solve their data architecture, ML, ML Ops, GenAI and cloud migration puzzles.
What (exactly) will you do?
- Project Planning & Delivery
- In the planning phase of a project, you’re expected to lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules.
- After the planning phase is over, you’ll deliver the project on your own or within a mixed DS/DE team setup where you’ll oftentimes take the role of a technical lead.
- During project delivery, you will be client-facing, acting as DATAPAO’s interface or SPOC to our customers.
- During non-delivery cycles, you will provide ML/DS consultancy to technical teams for our EMEA customers.
- Data Science & AI consultancy
- As a consultant, you will work closely with Databricks and cloud providers to understand the needs and requirements of clients.
- You will recommend solutions that leverage Databricks or native cloud features.
- You will be responsible for conducting workshops to enable clients on these platforms.
- You are to spearhead Machine Learning and (generative) AI projects in the Databricks platform, using the latest technologies to deliver real business impact for our top customers.
What does it take to fit the bill?
- Technical Expertise
- You (ideally) have 5+ years of experience as a Data Scientist, with a focus on cloud platforms (AWS, Azure, GCP).
- You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog).
- You have a good understanding of Large Language Models (LLMs), and you are familiar with their frameworks/libraries.
- You have strong Python knowledge of the most common DS libraries.
- Proficiency with MLOps.
- You have good knowledge of data visualization tools/libraries.
- [BONUS] You are proficient in any deep learning framework.
- [BONUS] Experience with distributed computing, preferably Spark.
- Consulting & Client-Facing Skills
- Ideally, you bring a proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders.
- You’ve successfully delivered projects like end-to-end, fully automated ML solutions, or production-ready Generative AI applications in Databricks.
- You excel in explaining technical concepts to non-technical audiences and drive decision-making.
- Operational Readiness & Soft Skills
- You’re (almost) ready to hit the ground running, immediately contributing to live client projects.
- In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you.
- Your communication skills are on point — whether you’re writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop.
What do we offer?
- The chance to work remotely - as we don’t have a physical office in the UK yet, we offer a fully remote setup for the time being.
- World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you’ll get access to Databricks’ public and internal courses.
- Flexible PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done.
- 4 weeks of paternity leave - because we think it’s important for both parents to be there when it matters the most.
- Employee Assistance Program (EAP) - life always happens! And we’d like to be there for you when it counts the most.
- Pension scheme enrollment and a comprehensive private health insurance plan.
- Top-notch working equipment - you will get a MacBook Pro, a phone, and a sign-up bonus of 500 GBP gross.
- The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot at DATAPAO.
IMPORTANT NOTE: Given that we are still sorting our ways out in the UK, this list will likely get an update in the following months.
The gross salary for this position ranges from 70,000 to 100,000 GBP/year, depending on your assessed seniority level during the selection process.
Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into the UK.
Want to know more about us? DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation.
Principal AI Engineer (Databricks) - UK in London employer: DATAPAO
Contact Detail:
DATAPAO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer (Databricks) - UK in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and Databricks. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 passionate candidates who are eager to join us!
We think you need these skills to ace Principal AI Engineer (Databricks) - UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal AI Engineer role. Highlight your experience with Databricks, cloud platforms, and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can contribute to our team. Keep it engaging and personal – we love getting to know the real you!
Showcase Your Projects: If you've worked on any cool projects related to ML, MLOps, or AI, make sure to mention them in your application. We’re keen to see how you've tackled challenges and delivered results in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at DATAPAO!
How to prepare for a job interview at DATAPAO
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Databricks, PySpark, and the cloud platforms mentioned in the job description. Be ready to discuss your experience with these technologies and how you've used them in past projects. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Prepare for Client-Facing Scenarios
Since this role involves a lot of client interaction, think about examples from your past where you've successfully communicated complex technical concepts to non-technical stakeholders. Practising how to explain your work in simple terms will help you shine during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles, especially those related to data architecture or ML Ops. Highlight how you approached these problems, the solutions you implemented, and the impact they had. This will demonstrate your resilience and ability to thrive in a fast-paced environment.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's culture, the team you'll be working with, and the projects you'll be involved in. This shows your genuine interest in the role and helps you assess if it's the right fit for you.