Machine Learning Engineer - Up to £150k + Equity

JR United Kingdom; London; On-site; GBP 80,000 - 150,000; Full time

Job summary

A fast-growing AI startup in London is seeking a Machine Learning Engineer to enhance their cutting-edge video AI platform. The role involves optimizing models, integrating them into production, and collaborating with top engineers in a dynamic environment. Competitive salary up to £150k plus equity and comprehensive benefits.

Benefits

Fully paid private dental & vision insurance

Qualifications

• Solid software engineering skills with a focus on writing production-grade code.
• Strong foundations in machine learning.
• Experience with PyTorch and Python 3; familiarity with C++ preferred.

Responsibilities

• Fine-tune open-source PyTorch models using proprietary datasets.
• Convert and optimise models for high-performance C++ runtimes.
• Integrate ML models into production pipelines and own downstream performance metrics.

Skills

Software engineering skills

Machine learning

PyTorch

Python 3

C++

Containerisation (Docker)

Job description

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Machine Learning Engineer - Up to £150k + Equity, london

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Client:

Oliver Bernard

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

25.05.2025

Expiry Date:

09.07.2025

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Job Description:

Machine Learning Engineer - Up to £150k + Equity

Location: Central London, 5 days onsite

About Them

Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development.

Responsibilities

• Fine-tune open-source PyTorch models using proprietary datasets.
• Convert and optimise models for high-performance C++ runtimes.
• Design and execute experiments balancing latency, accuracy, and robustness.
• Integrate ML models into production pipelines and own downstream performance metrics.
• Maintain and improve existing ML systems in our production environment.
• Stay current with deep learning research and propose practical applications in the video AI domain.

About you

• Solid software engineering skills with a focus on writing production-grade code.
• Strong foundations in machine learning.
• Experience with PyTorch and Python 3; familiarity with C++ preferred.
• Experience with containerisation (Docker), model profiling.

Why Join Them

• Work with top engineers and AI researchers from leading tech firms and academic institutions.
• Backed by leading investors and operating in a high-growth market with tangible business impact.

Central London office, 5 days onsite

£80-150k base salary + meaningful early-stage equity.

Fully paid private dental & vision insurance.