Machine Learning Engineer

London, England
7 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote
Spotlight

ML Runtime Engineer (Mid-Level and Senior)

Fractile London, United Kingdom
Hybrid

Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Machine Learning Engineer

Faculty AI London, United Kingdom
Remote Clearance Required

Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Machine Learning Engineer

ECM Selection Cambridge, Cambridgeshire, United Kingdom
£40,000 – £70,000 pa On-site Clearance Required

Machine Learning Engineer

PhysicsX United Kingdom
On-site

Machine Learning Engineer

PhysicsX United Kingdom
Remote
Posted
5 Jan 2026 (7 months ago)

Job Description

Job Title: Machine Learning Engineer

Location: London, UK

Employment Type: Full-time

Department: Data Science / AI Engineering

Role Overview

We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions that power intelligent products and services. You will work closely with data scientists, software engineers, and product teams to transform cutting-edge research into production-ready systems.

Key Responsibilities

  • Model Development: Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems.
  • Data Pipeline Engineering: Build and maintain robust data pipelines for feature extraction, transformation, and model training.
  • Deployment & Monitoring: Implement models into production environments using MLOps best practices (CI/CD, containerization, monitoring).
  • Performance Optimization: Continuously improve model accuracy, latency, and scalability.
  • Collaboration: Work cross-functionally with product managers and engineers to align ML solutions with business objectives.
  • Documentation & Compliance: Ensu...

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.