Senior AI/ML Software Engineer for Defense Systems

Leonardo

Luton

Hybrid

GBP 70,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Time to Recharge
Pension scheme
Mental health support
Bonus scheme
Coursera/LinkedIn Learning access
Refer a friend
Flexible benefits up to £500 per year
Flexible working

Job summary

Leonardo UK is seeking Senior or Principal Software Engineers with a passion for AI/ML to join the Electronics UK software community in Luton. You will develop deployable AI/ML software for challenging civilian and military projects, collaborating with systems engineers on research projects and delivering end-to-end solutions.

The role emphasizes scalable pipelines, model integration, data governance, and responsible AI practices, with hybrid working arrangements and a comprehensive benefits

Qualifications

  • Degree in Computer Science, Engineering, or related technical discipline.
  • Experience delivering high-integrity software in regulated environments.
  • Experience on Agile projects across full software life cycle.

Responsibilities

  • Develop deployable AI/ML software for civil and military projects.
  • Support systems engineers on research projects with AI/ML capabilities.
  • Build scalable data pipelines, APIs, and orchestration frameworks.
  • Curate datasets and manage embeddings with security and privacy in mind.
  • Design and test prompts; improve prompts and assess model outputs for bias and reliability.

Skills

AI/ML
Agile projects
transformer architectures
tokenisation
embeddings
fine-tuning LLMs
prompt engineering
agentic workflows
governance & security
HPC & parallel processing

Education

Degree in Computer Science or Engineering

Tools

PyTorch
TensorFlow
APIs
vector databases
RAG

Job description

Leonardo UK is seeking Senior or Principal Software Engineers with a passion for AI/ML to join the Electronics UK software community in Luton. You will develop deployable AI/ML software for challenging civilian and military projects, collaborating with systems engineers on research projects and delivering end-to-end solutions.

The role emphasizes scalable pipelines, model integration, data governance, and responsible AI practices, with hybrid working arrangements and a comprehensive benefits

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