Machine Learning Engineer

NSD
London, UK
3 days ago
Apply on www.totaljobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

A/B Testing Python (Programming Language) Machine Learning Tensorflow Software Deployment Unstructured Data Feature Engineering Deep Learning Machine Learning Operations Data Pipelines

Job description

  • Develop and optimise ML models for personalisation and recommendations
  • Build scalable data pipelines and feature engineering workflows
  • Deploy, monitor and optimise ML models in production
  • Lead A/B testing and experimentation to improve model performance
  • Collaborate with cross-functional teams to deliver ML solutions
  • Evaluate and apply emerging ML and deep learning techniques

Requirements

  • Machine Learning / Deep Learning
  • Recommendation & Personalisation Systems
  • Data Pipelines & Feature Engineering
  • MLOps & Production Deployment
  • A/B Testing & Experimentation
  • Python / ML Frameworks
  • Large-scale Structured & Unstructured Data

About the company

This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.totaljobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

5:28 min

Navigating machine learning operations and maturity level frameworks

Julian Joseph · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

54 sec

Generating multiple hook options for outreach A/B testing

Leandro Gomes da Silva Leandro Gomes da Silva · World Congress 2025

2:47 min

Contrasting classical machine learning with deep learning approaches

Adrian Spataru +1 · LIVE

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

2:32 min

Framework integrations with Firebase and TensorFlow JS

Jessica Janiuk · JS Congress

Videos

See all

Related articles

See all