Machine Learning Engineer (Forward Deployed)
Mind Foundry · Oxford / Hybrid , England, United Kingdom
Posted about 2 months ago
or apply directly on Mind Foundry's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 53 days Mind Foundry's roles stay open a median of 53 days
- Reposted
- No
- Salary listed
- No 0% of Mind Foundry's roles list one
- Ghost-job risk at Mind Foundry
- high 9 stale, 0 reposted of 12 open
- Hiring momentum
- 13 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-25
Measured from postings appearing on and disappearing from Mind Foundry's own greenhouse board since 2026-08-03. Full hiring picture for Mind Foundry.
About this role
As a Forward Deployed Machine Learning Engineer at Mind Foundry, you will lead the deployment of AI/ML systems in critical Defence and National Security environments. Your role involves translating user problems into production-ready machine learning solutions, troubleshooting integration issues, and providing hands-on support to end users. You will work closely with product teams and clients, adapting models to specific needs and improving internal ML platforms based on deployment experiences.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Mind Foundry as an employer.
What you need
- Degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience)
- Strong proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code
- Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures
- 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
- Comfortable solving technical problems with limited internet access
Nice to have
- 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)
- Broader software engineering experience (e.g. Java, Node.js, React, PostgreSQL, system architecture, DevOps)
- Interest in knowledge sharing, mentoring, and delivering internal or external training sessions
- Experience deploying in the field, and working independently on site with remote support
What you get
- EMI options scheme
- 25 days of annual leave, plus Bank Holidays
- Salary Sacrifice Pension scheme
- Private Healthcare (including dental and optical cover)
- Group Life Cover
- Enhanced Parental and Sickness Leave
Worth weighing
- Role requires travel to client sites and partner locations
- UK Security Vetting (SC) eligibility is required
- The position involves working in complex environments with limited resources
Summarised from Mind Foundry's posting. Read the full original.
Listed by Mind Foundry on their greenhouse job board, last confirmed open on 2026-09-25. PitchMeAI is not the employer.
More roles at Mind Foundry
- Senior Software EngineerOxford / Hybrid , England, United Kingdom
- Software EngineerOxford / Hybrid , England, United Kingdom
- Director of SalesOxford / Hybrid , England, United Kingdom