Senior Machine Learning Engineer

JR United Kingdom; City Of London; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

A leading AI scaleup in London seeks two experienced Senior Machine Learning Engineers. This pivotal role involves building agentic frameworks and deploying LLM applications. The company offers a competitive salary of up to £110,000, bonus, equity, and a pathway to a Lead position, coupled with a hybrid working policy.

Benefits

Equity package

Performance bonus

Career path to Lead ML Engineer

Enhanced parental leave

Qualifications

• Experience in building and deploying agentic systems in a commercial setting.
• Commercial experience deploying LLM applications to production.
• Experience taking the lead on projects for one of the roles is a plus.

Responsibilities

• Build and deploy agentic frameworks and multi-agent systems.
• Work closely with a technically brilliant AI team.
• Lead projects from a technical perspective, if applicable.

Skills

Deep understanding of NLP

Solid Python skills

Experience with agentic frameworks

Education

Strong academic background in ML theory

Tools

LangChain

LangGraph

AutoGen

Neo4J

Job description

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Senior Machine Learning Engineer, london (city of london)

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Client:

SR2 | Socially Responsible Recruitment | Certified B Corporation

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Up to £110k + bonus + equity

• Highly successful AI scaleup.
• Impressive founding team.

I’m looking for two experienced ML Engineers to join an established AI scaleup in London.

You’ll have the chance to rub shoulders with a very impressive and technically brilliant AI team and play a pivotal role in building agentic frameworks and multi-agent systems.

We have two opportunities, both at the senior level. There is scope for one of the positions to move further towards a lead role in time.

The ideal profile will be someone who combines a strong academic background and ML theory along with a track record of building and deploying agentic systems in a commercial setting.

The business is in a solid position from both a revenue generation standpoint but also from a funding runway perspective. They will be announcing Series B later this year, and having operated in their space for several years, they have a strong foothold in the market.

• Deep understanding of NLP and commercial experience in building and deploying LLM solutions.
• This place has a high technical bar, so solid Python skills are a must.
• Experience with agentic frameworks and familiarity with agentic systems – LangChain, LangGraph, AutoGen, etc.
• Commercial experience deploying LLM applications to production (this isn’t a research role).
• Experience taking the lead on projects from a "tech lead" perspective (only relevant for one of the roles).
• Bonus – any experience with knowledge graphs or graph databases like Neo4J.
• Base salary of up to £110k.
• Equity package.
• Performance bonus.
• Career path to Lead ML Engineer.
• Enhanced parental leave.

With offices in central London, this company operates a hybrid working policy with two days a week required in the office.

Reach out to Jamie Forgan at SR2 for more information.