Senior AI/ML Data Engineer - Remote - EMEA

Jobgether; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A tech recruitment agency is seeking a Senior AI/ML Data Engineer to join a fast-growing SaaS company. This fully remote role involves building and maintaining data pipelines, optimizing AI capabilities, and collaborating with cross-functional teams. Candidates should have 5+ years of experience, strong Python skills, and expertise in SQL and data modeling. The position offers competitive compensation, stock options, and a global team culture.

Benefits

Competitive Compensation

100% Remote Work

Equity

Career Growth

Paid Annual Leave

Health & Pension Benefits

Global Team Culture

Qualifications

• 5+ years of experience in data or backend engineering, preferably within SaaS environments.
• Strong proficiency in Python (FastAPI, Pandas, and optionally PyTorch or TensorFlow).
• Expertise in SQL, data modeling, and relational databases.

Responsibilities

• Build and maintain scalable data pipelines and ETL/ELT processes.
• Design and optimize embeddings, vector databases, and RAG systems.
• Collaborate with product and platform engineering teams for data integration.

Skills

Data or backend engineering (5+ years)

Python (FastAPI, Pandas)

SQL and relational databases

Vector databases (e.g., Pinecone)

Collaboration with cross-functional teams

Tools

Cloud platforms (AWS, GCP)

Workflow orchestration tools (Airflow, Dagster)

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI/ML Data Engineer in EMEA.

In this role, you will play a key part in shaping the foundation of a fast-growing SaaS company's data and AI capabilities. As part of a highly collaborative AI team, you'll design and maintain data pipelines, embeddings, and retrieval systems that power innovative, customer-facing AI features. You'll work closely with cross-functional product and platform teams to integrate intelligent systems that enhance user experience and business performance. This position offers the opportunity to contribute directly to a transformative product ecosystem, in a fully remote and global work environment.

Accountabilities

• Build and maintain scalable data pipelines and ETL/ELT processes to support AI-driven product features.
• Design and optimize embeddings, vector databases, and Retrieval-Augmented Generation (RAG) systems.
• Experiment with LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex to enable next-generation AI applications.
• Collaborate with product and platform engineering teams to ensure seamless data integration and performance across systems.
• Establish and uphold best practices for data quality, observability, and reliability in AI workflows.
• Contribute to the deployment and monitoring of Python-based AI services in production environments.

Requirements

• 5+ years of experience in data or backend engineering, preferably within SaaS environments.
• Strong proficiency in Python (FastAPI, Pandas, and optionally PyTorch or TensorFlow).
• Expertise in SQL, data modeling, and relational databases.
• Experience working with vector databases such as Pinecone, Weaviate, or FAISS.
• Familiarity with RAG systems and AI orchestration frameworks (e.g., LangChain).
• Proven ability to collaborate effectively with cross-functional teams to deliver robust data solutions.
• Bonus: experience with cloud platforms (AWS, GCP) and workflow orchestration tools (Airflow, Dagster).

Benefits

• Competitive Compensation: Salary aligned with local market rates.
• 100% Remote: Work from anywhere within your country of residence.
• Equity: All employees receive stock options in a fast-growing and profitable company.
• Values-Driven Leadership: A culture rooted in transparency, learning, and collaboration.
• Career Growth: Exceptional opportunities for professional development and advancement.
• Paid Annual Leave: Country-specific paid time off aligned with local standards.
• Health & Pension Benefits: Offered where applicable based on the candidate's location.
• Global Team Culture: Work with a diverse, international team spread across 40+ countries.

Thank you for your interest!