Senior AI Engineer
DATAPAO
Senior AI Engineer
DATAPAO
Cloud, data engineering, and analytics services
We are currently looking for a Senior AI Engineer to join us remotely in the UK. This will be our first AI hire in the UK.
What (exactly) will you do?
As our first AI Engineer in the UK, you’ll lead engagements to help our customers build and productionize tailored AI applications in the Databricks platform, using the latest technologies to deliver business impact for our top clients. You’ll own the technical delivery of AI solutions, whether you’re working solo as an AI Engineer or heading up a delivery team.
Your responsibilities will span across the following dimensions:
Project Planning & DeliveryTechnical Architecture: Lead the technical scoping, design high-level architectures, and define the roadmap for AI and Generative AI solutions.
Execution & Leadership: Take ownership - either delivering the project independently or acting as the Delivery Technical Lead for a small team of engineers.
Customer Interface: Serve as the primary technical contact for our customers, ensuring the systems you build solve their specific business challenges.
Strategic Advisory: Between active project cycles, act as a senior technical advisor for our EMEA customers and Databricks partners to navigate complex Generative AI and traditional Machine Learning challenges.
Production-Grade Solutions: Build robust and scalable solution architectures that leverage the latest technologies
What does it take to fit the bill?
Technical Expertise
You have 5+ years of experience in AI or Machine Learning Engineering with a focus on cloud platforms (preferably Azure or AWS, but GCP is also ok);
You are proficient in MLOps using MLflow - taking models from local environments to fully automated, monitored production pipelines;
You have experience building production systems in Databricks or in a comparable enterprise cloud environment,utilizing PySpark, SQL, Delta Lake, Unity Catalog (or similar enterprise governance), and Databricks AI features;
You have a good understanding of Large Language Models (LLMs) and experience implementing them using modern frameworks and libraries (e.g., LangGraph, Provider-specific agentic frameworks, like Claude Agents SDK)
You have strong Python knowledge of the most common Data Science and ML libraries
You have good knowledge of data visualization tools/libraries
[BONUS]: Proficiency in deep learning frameworks (PyTorch/TensorFlow) or distributed computing (Spark).
Consulting & Client-Facing Skills
Ideally, you bring a proven track record in consulting, from scoping and requirements gathering to solution design and effective stakeholder communication. If you bring a product company background with you, that's also fine as long as you can show a good consulting mindset and desire to be customer-facing;
You’ve successfully delivered projects like end-to-end, fully automated ML solutions, or production-ready Generative AI applications in Databricks or in a comparable enterprise cloud environment
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 come naturally to you. Furthermore, resilience and thriving in the face of challenges are essential traits in our industry.
We know that the perfect candidate doesn’t always check every single box. If you’re excited about this role and have the foundational skills we’re looking for, we encourage you to apply anyway.
What do we offer?
You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever UK AI Engineer hire, you’ll also get to spearhead our regional expansion.
Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras 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. However, given our strong community emphasis, we'd expect you to spend a couple of weeks in our Budapest hub during onboarding and a couple of times a year for community events. We also have a permanent coworking space in London, which would be great to attend at least once per month.
Educational benefits - you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, provide dedicated time for learning during work hours, and give you access to our internal library.
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. We also have a 15-day fully paid, no-questions-asked sick leave policy in place in the UK.
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. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person.
Pension scheme enrollment & comprehensive private health insurance - offered via Smart Pension (pension) and AXA (healthcare).
Top-notch working equipment - You will get a MacBook Pro and a sign-up bonus of 500 GBP gross (paid with your first payroll) to set up your home office or whatever else you need to give your best.
The standard gross salary for this position ranges from 80.000 to 100.000 GBP/year, depending on your assessed seniority level during the selection process. We also have an annual bonus scheme in place, ranging from 5.5% to 11% in the UK.
For particularly strong candidates (e.g., with a proven track record in the Databricks partner ecosystem, RSA, or DPP-vetted), we'd be open to considering a slightly higher compensation range or a more meaningful sign-on bonus, as we'd expect them to hit the ground running.
Please note that we're currently unable to support transfers or offer full sponsorship for Skilled Worker visas, as we’re just setting up in the UK.
Datapao provides Cloud, Data Engineering, and Data Science services that cover the full Data and Cloud Transformation journey from enablement through architecture to implementation. It designs and builds data and analytics systems to collect, store, and process data, creates analytics dashboards, and deploys production machine learning models to enable data-driven decisions, using platforms like Databricks, Azure, and AWS. It differentiates itself by offering end-to-end transformation support and industry-specific solutions across Manufacturing, Pharmaceuticals, Agriculture, Livestock, and Digital Products on a global scale. Its goal is to help clients unlock business value from data and cloud technologies to improve performance and outcomes.
Explore more opportunities at DATAPAO