Machine Learning Engineer – Hybrid Working

Oliver Bernard
London, England
16 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

AI Compiler Engineer

IC Resources Bristol, Eng, United Kingdom
£80,000 pa Hybrid
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

Senior Machine Learning Engineer

Platform Recruitment Cambridge, United Kingdom

Senior AI/ML Engineer

Platform Recruitment London, United Kingdom
£90,000 – £120,000 pa Hybrid

Machine Learning Engineer

Vermelo RPO M43Aq, United Kingdom

Machine Learning Engineer Modelling

Newton Colmore Guatemala
Hybrid

Machine Learning Engineer, Driving Product

Wayve United Kingdom
Hybrid

Machine Learning Engineer, ADAS

Wayve London, United Kingdom
Hybrid
Posted
20 May 2025 (16 months ago)

Location: London, EC4N 6AP 🌎

Working Arrangements: 2-3 days per week in office

Salary: £50,000 - £70,000

Industry: SaaS

Tech Stack: Python, scikit-learn, Kubernetes, AWS 👩🏻‍💻


Great opportunity for a talented ML Engineer (Python, scikit-learn, Kubernetes, AWS) to join an AI driven SaaS platform for the publishing industry.


The Company🚀


Market leading business that works with publishing giants such as The Times and The Guardian. Their AI driven SaaS platform enables the automation of their social media and email outreach campaigns.


The Role


They are seeking a Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) to build out their business-critical platform.


You will be expected to work end-to-end across their ML (Python, scikit-learn, Kubernetes, AWS) platform and will be afforded a considerable amount of autonomy.


The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms.


Desired Skills⚙️


  • Python, Java
  • TensorFlow, scikit-learn, PyTorch
  • Kubernetes
  • MLOps
  • AWS


Benefits 🏖


  • Hybrid working
  • Regular team events


If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this role then please apply below and I will be in touch with more details.

Industry Insights

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

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.