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Senior Machine Learning Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™

London

Hybrid

GBP 93,000 - 110,000

Full time

7 days ago
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Job summary

A successful AI scaleup in London is seeking two experienced ML Engineers to contribute to building innovative agentic frameworks and deploying advanced LLM solutions. This role offers competitive compensation, equity options, and opportunities to advance into lead positions within a dynamic and technically skilled environment.

Benefits

Equity package
Performance bonus
Career path to Lead ML Engineer
Enhanced parental leave

Qualifications

  • Experience in building agentic systems in a commercial setting.
  • Commercial experience deploying LLM applications.
  • Taking the lead on projects as a tech lead (for one of the roles).

Responsibilities

  • Involve in building agentic frameworks and multi-agent systems.
  • Deploy LLM solutions in production environments.
  • Collaborate with a technically brilliant AI team.

Skills

NLP
Python
Agentic frameworks
LLM deployment
Knowledge graphs

Education

Strong academic background in ML theory

Tools

LangChain
LangGraph
AutoGen
Neo4J

Job description

SR2 | Socially Responsible Recruitment | Certified B Corporation provided pay range

This range is provided by SR2 | Socially Responsible Recruitment | Certified B Corporation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation

Principal AI Recruiter | Founder of The AI Collective

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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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