AI-Native ML Engineer: Build Production AI Workflows

Penta; Greater London; Hybrid; GBP 55,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Paid time off

Social events

Learning environment

Location-based benefits

Job summary

Penta is seeking Applied AI / ML Engineers early in their careers who are excited by AI-native software development. This hands‑on role focuses on designing, building, testing and deploying practical AI workflows using Python, LLMs, AWS and Claude Code.

You will build and operate real systems in AWS via Claude Code, drive infrastructure and contribute to data science delivery with Python, SQL and APIs. The team values practical builders who ship working software and learn quickly, with coaching

Qualifications

• Hands-on experience building with at least one modern AI-native tool or platform (e.g., Claude Code, OpenWebUI, LiteLLM).
• Strong Python coding ability to build, read, test and debug real software.
• Solid prompting and context‑engineering skills and familiarity with LLM workflows.
• Comfort with APIs, JSON, structured outputs and everyday developer tooling.
• Basic to intermediate SQL.
• Git version control.
• Bias towards shipping working software, not just analysis or notebooks.

Responsibilities

• Build AI-native tools and workflows using Claude Code and frontier AI tools.
• Create practical LLM workflows, agents, skills and tools to support teams and client delivery.
• Implement reusable AI capabilities using OpenWebUI, LiteLLM and MCP tools.
• Work across prompting, context engineering, structured outputs, evaluation, provider routing and human‑in‑the‑loop workflows.
• Move useful applications from prototype to production and ensure code is maintainable and safe.

Skills

Python

Claude Code

OpenWebUI

LiteLLM

AWS

SQL

Git

Prompting

Context Engineering

MLOps

Docker

Tools

Claude Code

OpenWebUI

LiteLLM

MCP tools

Job description

Penta is seeking Applied AI / ML Engineers early in their careers who are excited by AI-native software development. This hands‑on role focuses on designing, building, testing and deploying practical AI workflows using Python, LLMs, AWS and Claude Code.

You will build and operate real systems in AWS via Claude Code, drive infrastructure and contribute to data science delivery with Python, SQL and APIs. The team values practical builders who ship working software and learn quickly, with coaching