Remote Data Engineer for AI/ML Pipelines & Multimodal AI

VML; Remote; GBP 50,000 - 70,000; Full time

Job summary

A forward-thinking AI company is seeking a Data Engineer (AI / ML) to design and maintain scalable data solutions that support innovative AI tools. The successful candidate will collaborate with data scientists and developers to optimize data workflows, leveraging cloud platforms and ensuring access to reliable data. Responsibilities include designing robust data pipelines, developing APIs for data services, and optimizing data transformations. A commitment to transparency, inclusivity, and personal growth within the team culture are emphasized.

Benefits

Enhanced pension

Private healthcare

27 days holiday plus bank holidays

Annual bonus

Flexible working hours

People-oriented culture

Focus on personal development

Qualifications

• High proficiency in Python and SQL.
• Proven hands-on experience building and deploying data solutions on a major cloud platform.
• Experience in supporting data science workloads with structured and unstructured data.

Responsibilities

• Collaborate with data scientists and stakeholders to understand business requirements.
• Leverage cloud-native tools for orchestrating data pipelines.
• Support development and deployment of AI model infrastructures.

Skills

Python

SQL

Data structures

Database operation

Cloud platforms (AWS, GCP, Azure)

Docker

Kubernetes

Retrieval-Augmented Generation (RAG)

Data pipeline design

Big data processing (e.g., Spark)

Tools

PostgreSQL

MySQL

Pinecone

Weaviate

ChromaDB

Job description

A forward-thinking AI company is seeking a Data Engineer (AI / ML) to design and maintain scalable data solutions that support innovative AI tools. The successful candidate will collaborate with data scientists and developers to optimize data workflows, leveraging cloud platforms and ensuring access to reliable data. Responsibilities include designing robust data pipelines, developing APIs for data services, and optimizing data transformations. A commitment to transparency, inclusivity, and personal growth within the team culture are emphasized.