Data Scientist

🕒 April 11

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Satalia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

💰 Grant on 2016-02

Artificial Intelligence • B2B • Enterprise

Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.

📋 Description

• Design and deliver production-grade agentic systems, from multi-agent orchestration to the AI services and models that power them • Assess fit of agentic solutions per use case, being intentional in system design • Design the most suitable orchestration pattern per use case • Evaluate and recommend the best suited agent development framework • Engineer multi-step agent workflows that are reliable, auditable and modular, supporting both linear and non-linear control flows • Implement agent memory and state management systems • Optimise context assembly for each agent interaction • Evaluate and select the most appropriate foundation models, embeddings and context-specific model variants; apply fine-tuning or adaptation where needed • Implement guardrails to ensure operation within ethical, legal, brand boundaries • Build services for agent use, including ML models, GenAI and task-specific APIs • Process multi-modal data using appropriate embeddings and vector retrieval • Build, evaluate and maintain robust RAG and / or GraphRAG pipelines • Implement fallback strategies (e.g., retries, backup tools, escalation, safe exits) • Build and integrate MCP servers to expose and consume data and AI services • Use Google's A2A protocol to support independent agent communication, designing composable service boundaries and appropriate integration patterns • Containerise applications (Docker) – our platform team manages K8s • Apply AgenticOps practices, including evaluation, observability, guardrails, security, performance optimisation, CI/CD, versioning, rollback, drift detection • Design and implement testing strategies for non-deterministic behaviour • Stay abreast of the latest AI research trends and integrate them into our products • Maintain documentation for architectures, APIs and operational procedures • Communicate progress, blockers, technical approaches, challenges and potential solutions to technical colleagues and non-technical stakeholders.

🎯 Requirements

• Educational background in Computer Science, Data Science, or similar • Professional experience in Data Science, AI/ML Engineering, Software Engineering, or related technical roles • 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 • 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 • 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 • Excellent communication skills with technical / non-technical audiences • Strong documentation and knowledge-sharing practices

🏖️ 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