Senior Machine Learning Engineer in London

Location: Hybrid across sites in southern England, London HQ

Eligibility: Must be eligible to apply for Security Clearance (SC)

Salary range: £75,000 to £100,000

Technologies: Python, Machine Learning, Azure, Docker

Burns Sheehan are working with an AI consultancy operating at the intersection of bleeding edge technology & national security, as they look to add world class talent to a growing team. The organisation has advocates and sponsors at the highest level of public life, and has already delivered a laundry list of jaw dropping defence projects since its foundation.

What you'll get: an opportunity to work on fascinating projects you will want to tell your friends and family about, but the work is classified because of how important it is. You will be surrounded by some of the smartest technologists & minds in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud.

What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud, machine learning and software engineering. The successful candidate will tick most of these boxes:

• comfortable writing Python code and experience with a range of Python libraries.
• broad exposure to Machine Learning models and an understanding of how to build the scaffolding around them. an understanding of the full software development lifecycle, including deployment approaches and public cloud.
• a pragmatic mindset and the ability to conceive and develop innovative solutions for paying customers.
• the ability to effectively convey complex technical ideas to non-technical individuals.

Working patterns: the average expectation is three days per week on site. This may involve client sites across southern England and/or the company's London HQ. Travel expenses for client site work is expensed.

Salary & package: basic salary worth up to £100,000 supported by unlimited annual leave & generous wider package, including equity.

Next step: interested? Click Apply to begin the conversation.