Artificial Intelligence Engineer in London

Artificial Intelligence Engineer in London

London Full-Time 60000 - 80000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and deploy cutting-edge AI systems for defence and national security.
  • Company: Join Oxford Dynamics, a leader in AI and robotics innovation.
  • Benefits: Enjoy flexible hours, private healthcare, and 29 days holiday.
  • Other info: Collaborative environment where your contributions truly matter.
  • Why this job: Make a real impact in a fast-growing field with rapid career progression.
  • Qualifications: Experience in AI systems, strong Python skills, and teamwork abilities.

The predicted salary is between 60000 - 80000 € per year.

Oxford Dynamics is at an inflection point. We operate in some of the most complex and high-stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you.

What You Will Be Doing

We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped environments for defence and national security customers. This is a delivery role. You will own features end-to-end - from design through to deployment in constrained environments where reliability and security matter more than speed to market.

Key Responsibilities

  • Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent.
  • Integrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task execution.
  • Deploy AI systems into cloud, on-premises, and air-gapped environments.
  • Build production-ready pipelines from data ingestion through to inference.
  • Experience with observability for AI systems, including agent behaviour, model performance, and failure modes.
  • Collaborate with engineers, product leads, and customers to translate requirements into working systems.
  • Contribute to evaluation frameworks, system integration, and performance tracking.
  • Act as a technical authority for agentic AI - setting design patterns for junior engineers.

Requirements

  • Commercial experience building multi-agent or agentic AI systems in production.
  • Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar).
  • Experience deploying AI/ML systems into production environments.
  • Familiarity with Docker, Git, and cloud platforms (AWS preferred).
  • Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud.

Preferred

  • Experience with multimodal reasoning.
  • Experience with edge or offline AI deployments.
  • Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications.
  • MLOps experience - model evaluation, monitoring, reproducibility.
  • Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring).
  • Experience with agent orchestration patterns and inter-agent communication protocols (e.g. A2A).
  • Familiarity with MCPs for tool and context integration in agentic systems.
  • Familiarity with secure-by-design development principles (ISO27001, NIST, OWASP).
  • Experience in defence, national security, or similarly regulated environments.
  • Contributions to open-source AI/ML projects.

Soft Skills

  • Delivery-focused - you ship working systems, not prototypes.
  • Comfortable operating across the stack when needed.
  • Strong communicator - can present to technical and non-technical stakeholders.
  • Thrives in small teams with high ownership.

Why Oxford Dynamics

Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business.

Benefits

  • Rapid career progression and personal growth.
  • Flexible working hours.
  • Opportunity to shape the future of a fast-growing business.
  • Hybrid working model.
  • Company pension (NEST) with 4% employer contribution.
  • Private Healthcare.
  • 29 days holiday + public holidays.

We believe our work is at its best when everyone feels free to be their authentic self.

Artificial Intelligence Engineer in London employer: Oxford Dynamics Limited

At Oxford Dynamics, we pride ourselves on being at the forefront of AI and robotics, offering our employees a unique opportunity to work in high-stakes environments that truly matter. With a strong emphasis on personal growth, flexible working hours, and a hybrid model, we foster a collaborative culture where every team member can make a significant impact. Join us in London and be part of a dynamic team that values innovation, ownership, and the chance to shape the future of technology.

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Contact Detail:

Oxford Dynamics Limited Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Artificial Intelligence Engineer in London

Tip Number 1

Network like a pro! Reach out to people in the AI and robotics field, especially those at OxfordDynamics. A friendly chat can open doors that applications alone can't.

Tip Number 2

Show off your skills! If you’ve got a project or two that showcases your experience with multi-agent AI systems, don’t hesitate to share them during interviews or networking events.

Tip Number 3

Prepare for technical interviews by brushing up on your Python and LLM frameworks. We want to see how you think and solve problems, so practice coding challenges and system design questions.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at OxfordDynamics.

We think you need these skills to ace Artificial Intelligence Engineer in London

Multi-Agent AI Systems
Python
LLM Frameworks (LangGraph, LangChain, Haystack)
AI/ML System Deployment
Docker
Git
Cloud Platforms (AWS preferred)

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with multi-agent systems and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Showcase Your Technical Skills:Don’t hold back on your Python prowess and experience with LLM frameworks like LangGraph or Haystack. We’re keen to see specific examples of how you’ve deployed AI systems in production, so be detailed!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Oxford Dynamics Limited

Know Your AI Stuff

Make sure you brush up on your knowledge of multi-agent systems and the frameworks mentioned in the job description, like LangGraph and Haystack. Be ready to discuss your hands-on experience with LLMs and how you've deployed AI systems in production environments.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex problems in AI deployment. Think about times when you had to make critical judgment calls or optimise systems under pressure, especially in high-stakes environments like defence or national security.

Communicate Clearly

Since you'll be working closely with engineers and product leads, practice explaining technical concepts in a way that's easy to understand. Be ready to demonstrate your ability to present ideas to both technical and non-technical stakeholders.

Demonstrate Ownership and Delivery Focus

This role is all about taking ownership from design to deployment. Prepare to discuss how you've successfully shipped working systems rather than just prototypes. Highlight your experience in delivering reliable solutions in constrained environments.