Client-Facing ML Engineer: Production AI & Pipelines

Aimlroles; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Aimlroles is seeking a Machine Learning Engineer to join the Data & Analytics Consulting (DACs) team. The role is client‑facing, focusing on building and operationalising ML and AI solutions, with emphasis on reproducible training, deployment, and knowledge sharing.

The position is a 12-month contract with potential to become permanent. The role is hybrid, based in London, with occasional travel to client sites and responsibilities across data engineering, modelling, and technical leadership.

Qualifications

• 3–5+ years in ML engineering, taking models from development into production.
• Strong Python skills and experience with modern ML frameworks.
• Experience building reproducible training/evaluation pipelines and containerising/deploying models (Docker, FastAPI).
• Strong SQL and relational databases knowledge; DBT is a plus.

Responsibilities

• Lead the modelling and data engineering components of client projects.
• Configure OneView components linked to modelling outputs and feed improvements back into the platform.
• Produce documentation, templates and reusable components to raise delivery standards.

Skills

Python

ML frameworks

NLP/LLM

Docker

SQL

Model deployment

Data engineering

Client communication

Tools

FastAPI

DBT

Azure ML

Kubernetes

Job description

Aimlroles is seeking a Machine Learning Engineer to join the Data & Analytics Consulting (DACs) team. The role is client‑facing, focusing on building and operationalising ML and AI solutions, with emphasis on reproducible training, deployment, and knowledge sharing.

The position is a 12-month contract with potential to become permanent. The role is hybrid, based in London, with occasional travel to client sites and responsibilities across data engineering, modelling, and technical leadership.