ML Engineer Salary in London (2026)
Quick Answer
How much does ml engineer in London make?
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In 2026, Machine Learning Engineers in London earn between £60,000 and £157,000 annually, with a median salary of £93,000. This reflects the high demand for ML expertise in the city's thriving tech sector.
Key Facts
- Median salary for ML Engineers in London is £93,000.
- Cost of living index in London is 81.4.
- Top employers include DeepMind, Google, and Facebook.
- Proficiency in Python and TensorFlow is highly valued.
- Experience with MLOps can significantly increase earning potential.
Salary by Experience Level
- Junior ML Engineer: £60,000 – £80,000
- Mid-Level ML Engineer: £80,000 – £110,000
- Senior ML Engineer: £110,000 – £140,000
- Lead ML Engineer: £140,000 – £157,000
How London Compares
London's cost of living index is 81.4, making it one of the most expensive cities globally. For comparison, New York City has a higher cost of living, requiring approximately $9,500 to maintain the same lifestyle as $7,200 in London. (cnbc.com)
Skills That Command Premium
Proficiency in Python, TensorFlow, and PyTorch is highly valued. Experience with MLOps and deploying models into production environments can significantly increase earning potential.
Work Culture & Benefits
Top companies like DeepMind, Google, and Facebook offer competitive salaries, comprehensive benefits, and opportunities for professional growth. The work culture emphasizes innovation, collaboration, and continuous learning.
Top Hiring Companies
Career Advice
To maximize earning potential, focus on developing expertise in Python, TensorFlow, and MLOps. Staying updated with the latest advancements in machine learning and actively participating in relevant projects can also enhance your career prospects.
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ML Engineer Insights — London
ML Engineer salaries in London range from £60,000 to £157,000, a 104% spread that reflects significant variation based on experience level, specialization, and company size. The median of £93,000 sits below the midpoint, suggesting more positions cluster toward the entry-to-mid-level end of the range.
London's cost of living index of 54/100 represents moderate living costs. At a median salary of £93,000, ml engineer professionals here enjoy solid purchasing power relative to higher-cost tech hubs.
The hiring landscape for ml engineer in London is anchored by employers like DeepMind, Google, and Facebook, along with 2 other notable employers. Larger employers in this market typically offer compensation at the upper end of the range, often supplemented with equity, signing bonuses, and comprehensive benefits.
Demand for ml engineer in London centers around expertise in Python, TensorFlow, PyTorch, plus 2 other core competencies. Candidates with strong proficiency across these areas tend to command offers closer to the £157,000 ceiling, and have natural transition paths into roles like Data Scientist or AI Engineer.
Related Roles in London
Explore salary information for similar positions and compare compensation across different roles.
| Role | Location | Salary Range | Median |
|---|---|---|---|
| QA Engineer | London | £30,000 - £110,000 | £58,750 |
| UX Designer | London | £28,000 - £80,000 | £55,000 |
| iOS Developer | London | £52,750 - £90,000 | £90,000 |
| Full Stack Developer | London | £60,000 - £140,000 | £80,000 |
| Data Scientist | London | £45,300 - £94,300 | £75,000 |
| Data Engineer | London |
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Frequently Asked Questions
What is the average salary for a Machine Learning Engineer in London?
The average salary for a Machine Learning Engineer in London is approximately £93,000 per year.
Which companies are hiring ML Engineers in London?
Top companies hiring ML Engineers in London include DeepMind, Google, Facebook, Amazon, and Microsoft.
What skills are essential for an ML Engineer in London?
Essential skills include proficiency in Python, TensorFlow, PyTorch, and experience with MLOps and deploying models into production environments.
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Data Source & Methodology
Salary data for ml engineer in London is compiled from multiple verified sources including:
- Public salary reports from major tech employers (FAANG, Fortune 500, and high-growth startups)
- Government labor statistics and occupational wage surveys
- Aggregated self-reported compensation data from verified professionals
- Job posting analysis from major tech job boards and company career pages
All figures represent base salary in GBP and are normalized to annual equivalents. Ranges reflect the 25th to 75th percentile of reported compensation, while median values represent the 50th percentile. Data is updated quarterly to reflect current market conditions.
Last updated: April 2026 | Sample size: Varies by role and location (minimum 30 data points required for publication)