Anson McCade
Senior AI Engineer
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Job Role: Senior AI Engineer
Location: London
Help Shape the Future of AI in National Security
This isn't another Machine Learning role focused on optimising click-through rates, ad performance or customer recommendations.
This is an opportunity to apply Machine Learning, Generative AI and advanced analytics to some of the most complex and meaningful challenges in the UK. Working within a specialist National Security AI team, you'll help develop cutting-edge solutions that directly support government, defence and security operations.
You'll be given the freedom to experiment, innovate and build production-ready AI systems while working alongside Data Scientists, Engineers and AI specialists on genuinely unique problems.
Why This Opportunity?
- The AI landscape is evolving rapidly, and few organisations are investing as heavily in applying Machine Learning and Generative AI to real-world operational challenges.
- You'll be joining a highly respected technical team that is actively shaping how AI is adopted across National Security environments, working with modern AWS infrastructure, MLOps tooling and next-generation LLM technologies.
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What's on Offer
- Work on challenging AI and Machine Learning problems with real-world impact
- Exposure to cutting-edge Generative AI and LLM technologies
- Opportunity to influence AI adoption within National Security environments
- Flexible and hybrid working arrangements
- Dedicated Career Manager and structured progression plans
- Company bonus scheme
- Private medical and dental insurance
- Competitive pension scheme
- 25 days annual leave with buy/sell options
- Access to ongoing training and development opportunities
- Inclusive and supportive engineering culture
What You'll Be Working On:
- Designing and developing Machine Learning and Generative AI solutions
- Building and deploying production-ready ML models
- Leading experimentation, testing and model validation activities
- Developing LLM-powered applications and RAG-based solutions
- Building scalable ML pipelines using AWS services
- Implementing MLOps and LLMOps best practices
- Monitoring, evaluating and continuously improving deployed models
- Applying responsible AI practices, governance and explainability principles
- Collaborating with Data Scientists, Engineers and business stakeholders
- Mentoring junior engineers and sharing technical expertise
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We're keen to speak with engineers who have experience in many of the following areas:
- Strong Python development experience
- Machine Learning frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost
- AWS services including SageMaker, Lambda and S3
- MLOps tooling such as MLflow, Weights & Biases or DVC
- Experiment design, testing and statistical evaluation
- Generative AI, LLMs and prompt engineering
- RAG architectures and LLM-powered applications
Ready to Work on AI That Actually Matters?
If you're looking for an opportunity to move beyond traditional Machine Learning use cases and work on innovative AI solutions that genuinely make an impact, we'd love to hear from you.
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