ML Engineer (Outside IR35, £550 per day)

Oliver Bernard; London; Hybrid; GBP 83,025 - 101,475; Full time

Job summary

A technology recruitment agency is seeking a Machine Learning Engineer for a long-term project in the retail space. The role offers a hybrid working model, requiring strong expertise in machine learning deployments, API development, and cloud platforms like AWS and GCP. The ideal candidate will be able to work effectively in teams and communicate clearly. Immediate start available with competitive pay up to £550 per day.

Qualifications

• Experience in end-to-end ML deployments with GenAI.
• Proficiency with cloud platforms (AWS, GCP) and DevOps tooling.
• Strong problem-solving and communication skills.
• Experience with API development and integration.

Responsibilities

• Proven experience in end-to-end ML deployments.
• Skilled in building RESTful and GraphQL APIs.
• Strong problem-solving skills for scalable software delivery.
• Knowledge of monitoring best practices for GenAI.
• Experience with cloud services and DevOps practices.

Skills

End-to-end ML deployments

Building RESTful APIs

GraphQL APIs

Problem-solving

Effective communication

Monitoring/alerting best practices

Cloud experience (AWS, GCP)

DevOps practices

Event-driven architecture

Tools

Docker

Kubernetes

CI/CD

Kafka

Job description

Overview

Machine Learning Engineer - Outside IR35, up to £550 per day

Remote or London Hybrid. Immediate start.

Looking for multiple Machine Learning Engineers for a long term project with one of OB's clients in the retail space.

Responsibilities

• Proven experience in end-to-end ML deployments, including GenAI models, into scaled production systems.
• Skilled in building RESTful and GraphQL APIs for integrating GenAI systems with front-end and back-end platforms (UI, order systems, data stores).
• Strong problem-solving skills; capable of delivering scalable, maintainable software.
• Effective communicator and team player.
• Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge.
• Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC).
• Experience with event-driven architecture and streaming (Kafka a strong plus).
• Exposure to chat agents and customer service systems is a plus.

Qualifications

• Experience in end-to-end ML deployments, GenAI, scalable production systems.
• Proficiency with cloud platforms (AWS, GCP) and DevOps tooling.
• Strong problem-solving and communication skills.
• Experience with API development (RESTful, GraphQL) and integration with front-end/back-end systems.

Seniority level

Mid-Senior level

Employment type

Full-time