Machine Learning Engineer

Job Title: ML Engineer

Salary: £85-£95K + Equity (0.5-0.8%).

Industry: AI / ML

Location: London - 5 days in the office

Type of Employment: Full-time/Permanent

Our Client

Immersum continue to support a stealth mode start-up that is changing the game with IP intelligence, powered by AI. You will join the 2 Founders and a team of 4 Engineers in their journey to build their product, solving complex challenges and making a meaningful difference in the world. They have just received a large round of funding from one of the largest VC's in the tech and AI space and are looking to capitalise on the growth of the business by bringing in an ML Engineer.

Job Description:

You will play a key role across the entire platform, from backend to ML to infrastructure, focusing on building pipelines that retrieve rich web data. You’ll collaborate closely with the engineering team and working with the ML Team Lead responsible for creating crawl-to-index pipelines that handle millions of unstructured documents, such as patents, designs, and product descriptions. In addition to developing ML and LLM-based pipelines, you’ll be responsible for productionising our models, which includes tasks such as serving fine-tuned embeddings, managing, maintaining, and versioning GPU models, and orchestrating the interface between our backend services and LLM output .

Their Stack:

Python, Java, Spark, ElasticSearch, PostgreSQL, TypeScript, React

• All programming languages considered as long as you are happy working in their stack.

Requirements:

• You are a thoughtful problem solver with a proven track record of deploying production grade AI apps (3-5 years of experience).
• You approach problems holistically, think critically about the value add of what you are building and the implications of your technical decisions on the product, user and technical architecture. You take pride in the value of the product you build, its maintainability and the quality of your code.
• You are self sufficient and are comfortable with ambiguity and with managing your own goals.

This role requires that you work onsite in London 5 days a week.