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

Jack & Jill/External ATS; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A VC-backed AI logistics platform in London seeks a Staff Machine Learning Engineer to lead the design and deployment of machine learning systems. The ideal candidate will have strong Python development skills, MLOps experience, and a track record of deploying LLMs in compliance with enterprise standards. This role offers a dynamic work environment at the forefront of logistics technology, with significant impact on global businesses.

Benefits

Competitive salary

Equity in the company

Qualifications

• Strong Python developer with MLOps expertise in model serving, orchestration, and experiment tracking.
• Experienced in deploying LLMs in production environments with enterprise compliance (SOC2/GDPR).
• Technical leader capable of mentoring engineers and influencing AI roadmap strategy.

Responsibilities

• 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 compliance standards are met.

Skills

Strong Python development

MLOps expertise

Kubernetes

Experiment tracking

Deploying LLMs

Job description

Title

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

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

1. Visit our website.
2. Click 'Speak with Jack'.
3. Login with your LinkedIn profile.
4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
5. If the hiring manager would like to meet you, Jack will make the introduction.