AI engineer (UK)

present of AI; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Python production ML

PyTorch/TensorFlow

LLM & NLP depth

Cloud & MLOps

Responsible AI

Job summary

Writer in London seeks a seasoned ML engineer to take AI features and agents from idea to production, working with research, data and product teams to deliver reliable, scalable components for enterprise AI. The role emphasizes clean, well-tested code and a bias-aware approach.

You will use Python and DL frameworks, along with cloud and MLOps tooling, deploying features with careful safety and fairness. Experience shipping model-backed features at scale and applying evaluation methods is highly

Qualifications

• Hands-on ML experience
• Strong Python and DL framework skills
• Comfort with cloud and lifecycle tooling
• Bias checks and explainability emphasized

Responsibilities

• Take AI features and agents from idea to production
• Collaborate with research, data and product teams
• Deploy agents and language model features to production
• Evaluate safety methods and governance design

Skills

Python production ML

PyTorch

TensorFlow

LLM

NLP

Cloud

MLOps

Responsible AI

Tools

Python

Job description

The role asks for someone who can take AI features and agents from idea to running production systems, working alongside research, data and product teams. A strong candidate brings several years of hands on machine learning work, solid Python and deep learning framework skills, and comfort with cloud and lifecycle tooling. Clear, well tested code and a habit of weighing safety and fairness in what gets shipped matter here.

How it fits the AI era

This is a build role inside an AI company, so the work is directly about making AI agents useful and dependable for large enterprises. Much routine model plumbing and evaluation can be sped up with tooling, which shifts the human effort toward design choices, grounding in company data, and judging when output is trustworthy. Responsible practice such as bias checks and explainability stays a human responsibility.

How it builds AI experience

A person here would gain hands on work deploying agents and language model features into production, plus practice with evaluation and safety methods. Building familiarity with retrieval over company knowledge and governance minded design would help, since the platform centers on grounding agents in enterprise data. Prior work shipping model backed features and testing them at scale is the most direct preparation.

Worth showing

• Python production ML
• PyTorch or TensorFlow
• LLM and NLP depth
• Cloud and MLOps
• Responsible AI practice

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.