Mind Foundry

Forward Deployed Machine Learning Engineer

Mind Foundry

full-time

Posted on:

Location Type: Hybrid

Location: Oxford • United Kingdom

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

CloudDockerFlaskJavaJavaScriptKafkaLinuxMicroservicesNode.jsPostgresPythonReactSpark

About the role

  • Adapting solutions to client-specific data, systems, and interfaces by optimising data pipelines, training workflows, and inference paths for performance, scalability, and reliability.
  • Resolving unforeseen edge cases and challenges, providing on-site fixes or relaying them back to the product team.
  • Troubleshooting integration issues with existing systems.
  • Working directly with product teams to maintain deep technical expertise in Mind Foundry's products, capabilities and workflows.
  • Engaging directly with defence customers to translate their needs and goals into technical requirements.
  • Providing hands-on support to end users.
  • Extending and improving internal ML platforms, tooling, and best practices, incorporating learnings from deployments back into shared frameworks.

Requirements

  • Degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience)
  • Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, often embedded with customers or delivery teams.
  • Prior experience working with government customers, defence contractors, or in military environments.
  • Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc).
  • Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOPs, cloud platforms, and model serving architectures.
  • Broader software engineering experience (e.g. Java, Node.js, React, PostgreSQL, system architecture, DevOps).
Benefits
  • Hybrid working
  • Flexible hours
  • Professional and personal development
  • Salary Sacrifice Pension scheme with a 5% employer contribution (5% employee contribution)
  • Private Healthcare (including dental and optical cover)
  • Group Life Cover at three times your annual salary once you pass your probation period
  • Enhanced Parental and Sickness Leave
  • Home Office Setup Allowance
  • Dog-friendly office!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSparkKafkaFlaskFastAPIStreamlitPlotlyGradioDockerLinux
Soft Skills
problem-solvingcommunicationadaptabilitycustomer engagementtechnical expertisecollaborationambiguity managementtechnical translation