> Markdown version of [/jobs/ext/1123632-senior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1123632-senior-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** fortice - **Location:** Bristol, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Cloud Computing, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Raspberry Pi, Tensorflow, Pytorch, Large Language Models, Apache Spark, Kubernetes, Machine Learning Operations, Virtual Agents, Software Version Control, Docker, Databricks - **Published:** July 2, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2850747729-2 ## About the Role * 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) ## Description * 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 ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [From A2A to MCP: How AI’s “Brains” are Connecting to “Arms and Legs”](https://www.wearedevelopers.com/videos/1631-from-a2a-to-mcp-how-ai-s-brains-are-connecting-to-arms-and-legs) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)