2mo ago

AI Engineer (Agents)

United KingdomUnited Kingdom·LondonFull-timemid
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

Building core agentic product features; researching, planning, refining,

Requirements Summary

Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning,

Technical Tools
Machine Learning EngineerData

Arondite enables organisations to wield autonomy, data and AI at scale. We equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission-critical decisions faster than their adversaries.

We exist to ensure the UK and its allies out-think, out-pace and out-adapt those who seek to threaten our values and way of life. Our technology is designed for deployment in the world’s most austere environments, and is relied upon by the world’s most demanding operators. We deploy alongside them, bringing our technical expertise wherever it is needed.

About the Role

~1 min read

Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don’t expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists.

  • Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field
  • 1 year of experience developing agentic AI in production ready environments
  • 3 years of relevant hands-on experience with machine learning algorithms
  • The ability to write clean and maintainable code in Python, Rust, C++ or Java
  • A strong background in the mathematical foundations of core ML algorithms, paired with hands-on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration
    ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP)
  • Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users
  • A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms
  • PhD in machine learning, or a related field
  • Authored publications in top-tier journals and conferences (e.g. NeurIPS, ICLR, ICML, EMNLP)
  • Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance
  • Experience working with AI in regulated environments
  • Created and optimised state-of-the-art AI models for resource-constrained hardware

We require that all candidates have an existing Right to Work in the UK at the time of application.

We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years.

We are focused on building a positive, collaborative engineering-driven culture. We therefore believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. Of course, there are times when it makes sense for you to work from home and that's OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you're excited to come into the office and work in person by default.

Our interview process for this role is normally:

  1. CV submission with initial questions
  2. Introductory Teams call (30-45 mins)
  3. In-person technical interview (1-2 hours)
  4. Final interview with one of Arondite’s Founders (30 mins)

What We Offer

~1 min read
✓Highly competitive base salary
✓Generous equity in EMI share options in a well-funded and growing startup
✓7% employer pension contribution
✓Free meals in the office every day
✓Private health and dental insurance, with opt-in cover for dependents
✓Cycle to work scheme
✓Relocation support
✓Access to any resources, equipment and training that you need to do your job in a world-class way

Location & Eligibility

Where is the job
London, United Kingdom
On-site at the office

Listing Details

Posted
July 23, 2026
First seen
September 1, 2026
Last seen
October 12, 2026

Posting Health

Days active
41
Repost count
0
Trust Level
23%
Scored at
October 12, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Employees
5
Founded
2023
View company profile
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AI Engineer (Agents)