Staff Machine Learning Engineer

2 days ago

London, Greater London, United Kingdom Jack & JillExternal ATS Full time £100,000 - £200,000 per year

This is a job that Jill is helping to recruit for on behalf of one of our customers. To apply, speak to Jack.

Title: Staff Machine Learning Engineer (Competitive + Equity) at VC-backed AI logistics platform

Job Title:

Staff Machine Learning Engineer

Salary:

Competitive + Equity

Company Description:

VC-backed AI logistics platform

Job Description:

Lead end-to-end ML system design and deployment for an AI platform transforming global logistics. This role focuses on leveraging LLMs for domain-specific tasks, optimizing inference, and building robust, compliant ML infrastructure. Drive innovation in enterprise AI solutions, ensuring high reliability, security, and data privacy standards while mentoring a growing engineering team.

Location:

London, UK

Why this role is remarkable:

- Join a dynamic, fast-growing company at the forefront of logistics technology.

- Backed by top-tier VCs, pioneering AI solutions in a $200B+ industry.

- Drive significant impact by solving real-world challenges for global businesses in a client-centric role.

What you will do:

- Lead end-to-end ML system design and deployment, from experimentation to production.

- Apply LLMs effectively, including fine-tuning, prompt engineering, and inference optimization.

- Build high-reliability ML infrastructure and ensure solutions meet enterprise compliance standards (SOC2, GDPR).

The ideal candidate:

- Strong Python developer with MLOps expertise in model serving, orchestration (Kubernetes), and experiment tracking.

- Experienced in deploying LLMs in production environments with enterprise compliance (SOC2/GDPR) muscle memory.

- A technical leader capable of mentoring engineers and influencing AI roadmap strategy.

How to Apply:

To apply for this job speak to Jack, our AI recruiter.

Step 1. Visit our website.

Step 2. Click 'Speak with Jack'.

Step 3. Login with your LinkedIn profile.

Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.

Step 5. If the hiring manager would like to meet you, Jack will make the introduction.

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