Senior Machine Learning Engineer
On-site
Full-time
£80,000 - £120,000
Posted 1d ago
Salary
£80,000 - £120,000
Company
2 open positions
Platform Recruitment on JobsFeed.io
Location
Cambridge, Eastern England
123 jobs in Cambridge
Open until
Nov 7, 2026
posted Oct 8, 2026
About this job
Platform Recruitment is hiring a Senior Machine Learning Engineer in Cambridge, Eastern England. This is a full-time, on-site position, posted on October 08, 2026. The ideal candidate is comfortable with AI, AWS, Azure, CI/CD, Docker, Google Cloud, Kubernetes and Machine Learning.
Salary: £80,000 - 120,000 per year Requirements: 4 years experience in machine learning or AI roles Strong Python skills, with experience in frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience deploying ML models into production, including MLOps, CI/CD, Docker, and Kubernetes Solid understanding of statistics, data modelling, and software engineering principles Experience with cloud platforms such as AWS, GCP, or Azure Exposure to financial services or insurance domains is advant…
This is a short version of the job ad. Press Apply now to read the full ad on Adzuna.
Job details
- Company
- Platform Recruitment
- Location
- Cambridge, Eastern England, United Kingdom
- Work mode
- On-site
- Job type
- Full-time
- Category
- IT Jobs
- Salary
- £80,000 - £120,000
- Posted
- October 8, 2026
- Source
- Adzuna
Questions about this job
Is this Senior Machine Learning Engineer role remote?
No. This is an on-site role in Cambridge, Eastern England. Use the links below to find remote jobs too.
How much does this Senior Machine Learning Engineer job pay?
The advertised salary is £80,000 - £120,000.
Which skills do I need?
The job description mentions AI, AWS, Azure, CI/CD, Docker, Google Cloud, Kubernetes, Machine Learning.
How do I apply to Platform Recruitment?
Press "Apply now". You will go to the original job ad on Adzuna, where you can send your application.
How long is this job open?
It was posted on October 08, 2026 and is listed until November 07, 2026, unless the employer closes it earlier.