At a Glance
- Tasks: Design and deliver scalable Data & AI products that transform Earth data into actionable insights.
- Company: Join Xoople, a pioneering tech company focused on Earth's data infrastructure for AI.
- Benefits: Competitive salary, wellness support, continuous learning, and meaningful ownership.
- Other info: Be part of a mission-driven team dedicated to protecting tomorrow.
- Why this job: Make a real impact by enabling AI to understand our planet's changes.
- Qualifications: Experience in cloud-native Data & AI products and strong Python programming skills.
The predicted salary is between 72000 - 88000 £ per year.
Xoople is Earth's System of Record™
At Xoople, we're building the Earth's data infrastructure layer for AI.
Our mission is to enable AI to understand and predict physical changes on the world's surface by creating Earth's System of Record™ a trusted, enterprise-grade data foundation that connects the physical world to digital systems.
We are Here to Protect Tomorrow.
Xoople is Earth's System of Record™.
At Xoople, we're building the Earth's data infrastructure layer for AI.
Our mission is to enable AI to understand and predict physical changes on the world's surface by creating Earth's System of Record™ a trusted, enterprise-grade data foundation that connects the physical world to digital systems.
By transforming vast amounts of Earth observation data into actionable insights, we help enterprises and governments make faster, smarter decisions about risk, operations, sustainability, and growth.
Working at Xoople means joining a team creating a world-first capability that will fundamentally change what AI can understand and do, bringing real-world context into every business decision.
About The Role
As a Senior Enterprise Product Engineer, you will design and deliver scalable Data & AI products that transform Xoople's Earth data into enterprise-grade, analytics-ready solutions.
You will combine large-scale data processing, machine learning, and modern data architectures to enable advanced analytics and decision-making for customers and internal teams.
Success in this role means taking solutions from concept to production, scaling AI workloads, and enabling seamless integration of Earth data into enterprise environments.
- Flexible work model depending on location (Spain or the UK)
- Impact You Own
- Design and deliver scalable, high-performance Data & AI products and pipelines.
- Develop machine learning and statistical models on large-scale datasets to enable advanced analytics.
- Design modern data architectures that make data reliable, accessible, and analytics-ready.
- Build and operate end-to-end data pipelines and AI workloads in cloud environments.
- Lead R&D initiatives, rapidly prototype new solutions, and evaluate emerging technologies to drive product innovation.
- Collaborate with product, engineering, and commercial teams to translate enterprise needs into scalable, production-ready solutions.
- Improve platform scalability, reliability, and efficiency through cloud-native and distributed computing practices.
What We're Looking For
- Strong, demonstrable experience designing and delivering cloud-native Data & AI products across the full product lifecycle.
- Hands-on experience with large-scale data processing and machine learning in production environments.
- Strong expertise in distributed computing frameworks such as Apache Spark or similar technologies.
- Solid understanding of machine learning workflows, including model development, deployment, and inference.
- Strong knowledge of modern data architectures, including data lakes, lakehouses, and transactional layers.
- Experience with cloud and data platforms such as Azure and Databricks.
- Strong Python programming skills and experience applying CI/CD practices to data and ML pipelines.
- Strong analytical and problem-solving skills, with the ability to collaborate effectively across engineering, product, and business teams.
- Degree in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience.
- What Makes You Stand Out
- Experience with geospatial, satellite, or imagery data.
- Familiarity with API design and enterprise integration patterns.
- Experience with MLOps and model monitoring tools such as MLflow.
- Experience with orchestration and data quality tools such as Airflow and Great Expectations.
- Industry experience in financial services or another data-intensive sector.
What We Offer
We offer a competitive compensation and benefits package designed to support your wellbeing and growth, together with meaningful ownership, continuous learning and the opportunity to build a world-first Earth data capability with a global, mission-driven team.
Our Value in Action
Our vision is 'To be the most trusted source of Earth intelligence'.
- We Live It Through Four Guiding Principles
- Everyone is welcome. We value uniqueness and authenticity.
- Think beyond boundaries. Real change comes from listening and thinking differently.
- Make a positive difference. We exist to protect tomorrow - for the planet and people's lives.
- Together we are stronger. We partner, share expertise and win as one.
- DEI & Belonging
At Xoople, our strength lies in our differences.
We're building a workplace where everyone feels safe to be themselves, heard, valued and empowered to shape a more inclusive future.
We welcome applicants of all backgrounds and are glad to make reasonable adjustments during hiring, just let us know.
Ready to help build Earth's System of Record™?
- Born in Spain, designed for the world. #Earth AI #Earth Intelligence #Tech For Good
- #J-18808-Ljbffr
Senior Data & AI Product Engineer in Leeds employer: Xoople
Xoople provides a unique opportunity to work on groundbreaking technology that fundamentally changes AI's capabilities. The company promotes a collaborative work culture and supports professional development, making it an attractive employer for those looking to grow in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Product Engineer in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Xoople!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Xoople.
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When you find a suitable opening like Senior Data & AI Product Engineer at Xoople, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data & AI Product Engineer in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Xoople, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Xoople. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Xoople
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Xoople!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
