Junior ai engineer remote Work, Jobs in Wadhurst, Esx (with Salaries)

Junior AI Engineer - Remote
Attercop —Brighton
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
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Junior AI Engineer - Remote / Contract
Attercop —Brighton
- Remote
- Azure
- Computer Science
- Engineering
Quick apply

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Junior AI Engineer - Remote / Contract
Attercop —Brighton
Write clean Python for data processing, inference, and APIs. Basic ML knowledge (supervised learning, neural networks, NLP). Cloud familiarity (Azure/AWS/GCP).
Quick apply
Staff AI Engineer
Bluefish AI —London
You’ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business…

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Junior AI Engineer - Remote

Attercop
Brighton

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Job details

Full-time

Qualifications

Azure
Computer Science
Engineering
Data structures
NumPy
NoSQL
SQL
Pandas
Analysis skills
ETL data integration
Docker
CI/CD pipelines
PostgreSQL
Natural language processing
Django
Data pipeline
Software development
Software testing
Flask
AI
Microsoft Azure

Full job description

About Attercop
Attercop is a knowledge engineering and agentic AI company built specifically for private equity and professional services. We turn fragmented, hard to use information into structured intelligence and deploy autonomous AI agents that make decisions, not just recommendations. Our systems deliver faster insights, operational efficiency gains, and real value creation across the PE lifecycle — from diligence and data organisation to portfolio wide transformation.
Role Overview
You’ll join our engineering team as a Graduate AI Engineer, working with experienced engineers and data scientists on applied AI projects. Expect hands-on model integration, agentic workflow development, data engineering fundamentals, and early exposure to deployment and DevOps. This role offers structured progression, mentorship, and real responsibility from day one.
Core Responsibilities
Model Engineering
Support senior engineers in building production AI services

Write clean Python for data processing, inference, and APIs

Contribute to testing, validation, and performance optimisation

Agentic Workflows
Learn frameworks like LangChain, LangGraph, and Microsoft Agent Framework

Build components for multi-agent systems

Apply prompt engineering and RAG techniques

Contribute to internal research and documentation

Data Engineering
Assist with ETL pipelines and dataset preparation

Work with PostgreSQL and gain exposure to NoSQL/vector databases

Support data quality and governance practices

Deployment & DevOps
Learn Docker and containerisation

Gain hands-on experience with Azure

Contribute to CI/CD pipelines and basic monitoring

What We’re Looking For
Education
Degree in Computer Science, AI, Software Engineering, Data Science, or similar

Strong academic performance

Essential Skills
Solid Python (NumPy, Pandas, core data structures)

Understanding of software engineering fundamentals (Git, testing)

Basic ML knowledge (supervised learning, neural networks, NLP)

SQL familiarity

Strong analytical problem-solving

Desirable Skills
Exposure to FastAPI/Flask/Django

Cloud familiarity (Azure/AWS/GCP)

Docker basics

Interest in LLMs, prompt engineering, or GenAI

Personal projects, hackathons, open-source contributions

Experience with async Python or type hinting

Quick apply

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