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AI/ML Engineer
£130,000 - 143,000
LA International Computer Consultants Ltd
Charing Cross, London
£130,000 - 143,000
Requirements
Must:
- Strong experience building secure, scalable backend systems in Python and/or Go.
- Deep understanding of containerized services, particularly in Kubernetes environments.
- Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies.
- Experience working in air-gapped or secure environments, or at minimum, a clear grasp of the constraints and workarounds involved.
- Comfort designing APIs for real-time and batch AI/ML pipelines.
- Candidates holding or who have held high-level security clearance in the past are encouraged to apply.
Responsibilities
- Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling.
- Develop pipelines for transcription ingestion and real-time analytical insight generation.
- Support graph and RAG-based inference layers using data from structured and unstructured sources.
- Build and expose APIs for frontend consumption, enabling natural language querying, dynamic visualization, and reporting.
- Ensure system portability via containerization.
- Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure.
- Work with platform engineers to tune deployments for hardware-limited environments.
Description
We are seeking a systems thinker with deep experience in backend engineering and distributed data infrastructure. You will thrive in high-stakes environments, knowing how to ship reliable code fast while being pragmatic about trade-offs. This role will focus on building and adapting backend services to support experimental AI systems deployed in sensitive Defence contexts. You will help create and manage robust, portable pipelines for data ingestion, orchestration, model interaction, and querying—all within a classified, compute-constrained environment. While our SaaS platform handles production-scale workflows, this project demands thoughtful downscaling and adaptation, not replication. You will work closely with a cross-functional team of frontend engineers, data scientists, platform engineers, and external partners. Please note that successful applicants will be required to be security cleared prior to appointment, which can take a minimum of 10 weeks. We are committed to welcoming applications from all sections of the community and from individuals with diverse experience and backgrounds.
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