Data Scientist – Agentic AI - Permanent UK

Education & Experience Educational background in Computer Science, Data Science, or similar Professional experience in Data Science, AI/ML Engineering, Software Engineering, or related technical roles

Educational background in Computer Science, Data Science, or similar

Professional experience in Data Science, AI/ML Engineering, Software Engineering, or related technical roles

Core Programming & Development High proficiency in Python and working knowledge of SQL Experience building API services using FastAPI, Flask or similar Experience with containerisation, cloud platforms and CI/CD Experience with AgenticOps best practices, including evaluation, observability, safety guardrails, security, performance optimisation

High proficiency in Python and working knowledge of SQL

Experience building API services using FastAPI, Flask or similar

Experience with containerisation, cloud platforms and CI/CD

Experience with AgenticOps best practices, including evaluation, observability, safety guardrails, security, performance optimisation

Agentic AI Experience designing and building complex multi-agent systems using at least one of the major agent frameworks (e.g. ADK, AutoGen, LangGraph) Understanding of agent memory and state management patterns Familiarity with MCP servers Quality-first, test-driven mindset with focus on automated testing

Experience designing and building complex multi-agent systems using at least one of the major agent frameworks (e.g. ADK, AutoGen, LangGraph)

Understanding of agent memory and state management patterns

Familiarity with MCP servers

Quality-first, test-driven mindset with focus on automated testing

AI/ML & Data Deep understanding of LLMs, foundation models and embeddings Experience with structured and multi-modal data processing Experience building and evaluating production-grade RAG systems Practical experience with machine learning / deep learning models

Deep understanding of LLMs, foundation models and embeddings

Experience with structured and multi-modal data processing

Experience building and evaluating production-grade RAG systems

Practical experience with machine learning / deep learning models

Communication & Collaboration Excellent communication skills with technical / non-technical audiences Strong documentation and knowledge-sharing practices.

Excellent communication skills with technical / non-technical audiences

Strong documentation and knowledge-sharing practices.

Postgraduate degree in Computer Science, Data Science or similar

Experience with Google's Agent Development Kit (ADK)

Experience with Google's A2A protocol and agent coordination layers

Strong understanding of ML / DL algorithms and full model lifecycle experience

Experience with fine-tuning or model adaptation techniques

Experience with GraphRAG systems

Understanding of authentication/authorisation and API security

K8s familiarity for cloud-native design and debugging. Our Platform team manages the clusters.

Benefits - enhanced pension, life assurance, income protection, private healthcare;

Remote working - café, bedroom, beach - wherever works;

Truly flexible working hours - school pick up, volunteering, gym;

Generous Leave - 27 days holiday plus bank holidays and enhanced family leave;

Annual bonus - when Satalia does well, we all do well;

Impactful projects - focus on bringing meaningful social and environmental change;

People oriented culture - wellbeing is a priority, as is being a nice person;

Transparent and open culture - you will be heard;

Development - focus on bringing the best out of each other;

Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.

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