At a Glance
- Tasks: Design and deploy cutting-edge Machine Learning solutions that tackle real-world challenges.
- Company: Join a fast-growing Defence and GovTech company with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with multidisciplinary teams and enjoy excellent career advancement opportunities.
- Why this job: Make a genuine impact by building AI systems that are deployed in operational environments.
- Qualifications: Experience in delivering production Machine Learning solutions and strong Python skills.
The predicted salary is between 80000 - 98000 £ per year.
Location: Bristol (Hybrid – 3 days/week onsite)
Salary: Competitive (Dependent on experience)
Security Clearance: Must be eligible for UK SC Clearance
We're partnering with one of the UK's fastest-growing Defence and GovTech companies, to help grow their Machine Learning team. This isn't a research role. It's an opportunity to build AI systems that solve real-world problems and are deployed into operational environments where reliability, performance and speed matter.
What you'll be doing:
- Designing, building and deploying production Machine Learning solutions from concept to release
- Owning the full ML lifecycle including data engineering, model development, evaluation, deployment and monitoring
- Developing modern AI systems using LLMs, RAG and agentic workflows where appropriate
- Deploying AI onto edge and embedded platforms alongside cloud infrastructure
- Building scalable MLOps pipelines including CI/CD, model versioning, automated evaluation and monitoring
- Collaborating with multidisciplinary engineering teams to solve complex technical challenges
- Providing technical leadership, mentoring engineers and driving engineering best practice
What we're looking for:
- Commercial experience delivering Machine Learning solutions into production
- Strong Python software engineering skills
- Experience with modern ML frameworks such as PyTorch or TensorFlow
- Experience building production LLM, RAG or agentic AI applications
- Strong understanding of MLOps, CI/CD and cloud deployment
- Experience working across the full ML lifecycle rather than pure research
- Excellent communication skills and a collaborative approach
Nice to have:
- Edge AI or embedded ML deployment (Jetson, Raspberry Pi, ARM or similar)
- Computer Vision
- Databricks, Spark, MLflow
- Docker, Kubernetes and AWS
- Experience working in defence, aerospace, robotics, autonomous systems or other safety-critical environments
- Current SC or DV clearance (although candidates eligible for SC are encouraged to apply)
What's on offer:
Work on AI systems that solve genuine operational challenges. End-to-end ownership of products from R.
Senior Machine Learning Engineer employer: Fortice
Join one of the UK's fastest-growing Defence and GovTech companies, where you'll have the opportunity to work on cutting-edge AI systems that address real-world challenges. With a hybrid working model in Bristol, you will benefit from a collaborative work culture that fosters innovation and technical leadership, alongside ample opportunities for professional growth and development. This role not only offers competitive remuneration but also the chance to make a meaningful impact in operational environments, making it an excellent employer for those passionate about technology and its applications in defence.
