Data Engineer (AI / ML)

Satalia is an enterprise AI company that provides AI-powered solutions to optimize complex operational processes and decision-making for businesses across various industries.

Satalia

Employee count: 51-200

GR and GB only

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Satalia is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues. We offer truly flexible working and allow our employees to find the working practice that makes them most productive.

Requirements

High proficiency in Python and SQL
Strong knowledge of data structures, data modelling, and database operation
Proven hands-on experience building and deploying data solutions on a major cloud platform (AWS, GCP, or Azure)
Familiarity with containerization technologies such as Docker and Kubernetes
Demonstrable experience building, implementing, and optimizing robust data pipelines for performance, reliability, and cost-effectiveness in a cloud-native environment
Experience in supporting data science workloads and working with both structured and unstructured data
Experience working with both relational (e.g., PostgreSQL, MySQL) and NoSQL databases
Experience with a big data processing framework (e.g., Spark)
API Development: Experience building and deploying scalable and secure API services using a framework like FastAPI, Flask, or similar
Experience partnering with data scientists to automate pipelines for model training, evaluation, and inference, contributing to a robust MLOps cycle
Experience or familiarity with Retrieval-Augmented Generation (RAG) applications and modern AI/LLM frameworks (e.g., LangChain, Haystack, Google GenAI, etc.)
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB)

Benefits

Enhanced pension
Life assurance
Income protection
Private healthcare
27 days holiday plus bank holidays and enhanced family leave
Annual bonus

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About the job

Apply before

Jan 17, 2026

Posted on

Nov 18, 2025

Job type

Full Time

Experience level

Mid-level

Location requirements

Greece

United Kingdom

Hiring timezones

United Kingdom +/- 0 hours, and 1 other timezone

About Satalia

Learn more about Satalia and their company culture.

View company profile

We are Satalia, an enterprise AI company founded in 2008 with a mission to radically improve the efficiency of organizations and reinvent how they operate. Our journey began as a spin-off from UCL's Computer Science department, and since then, we've grown into a global team of over 100 experts with deep knowledge in AI and optimisation. We're proud to have built enterprise AI solutions for some of the world's most recognizable names, including Tesco, PwC, and The Coca-Cola Company. Our work with Tesco, for instance, resulted in what they consider the world's best last-mile delivery system, which continues to optimize 100,000 deliveries daily. We are not just about building technology; we are thought leaders in AI safety, ethics, and governance, striving to create a future where everyone is free to live beyond themselves. We are purpose-driven, working with our clients and partners to tackle some of the most significant challenges facing humanity today.

Our expertise lies in combining machine learning with optimisation to build decision-making systems that drive significant value and operational efficiency. We offer a range of solutions, from AI strategy and custom development to specific products for logistics and workforce optimisation. For example, our Satalia Delivery product optimizes vehicle fleet routes and schedules in real-time, while Satalia Workforce automates the allocation of people to their work, enhancing productivity and employee satisfaction. In 2021, we were acquired by WPP, the world's largest marketing and communications company, becoming their dedicated AI experts. This partnership has allowed us to further develop our AI for marketing, launching innovative 'Brain' technologies that help brands understand their audiences better, create content at scale, and optimize it across all channels. We are committed to pushing the boundaries of AI innovation, delivering efficiency, revenue, and growth for our clients while always considering the ethical implications and societal impact of our work.