SC Cleared AI/ML Engineer

Salary: £42,000 - 72,500 per year

Requirements

: We require a proven track record of shipping and maintaining live machine learning or AI software in commercial environments.We require advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.We require hands-on engineering experience with major cloud platforms such as AWS, Azure, or GCP.We require a strong understanding of core data engineering practices and automated pipeline design.We require practical experience with Generative AI techniques, including Retrieval-Augmented Generation (RAG), prompt optimization, and model fine-tuning.We require the ability to thrive in a high-velocity, output-oriented engineering culture.We prefer familiarity with MLOps practices, including CI/CD for models, version control, and drift monitoring.We prefer working knowledge of embeddings and vector storage solutions.We prefer experience developing microservices and back-end API architectures.We prefer prior experience in consulting or stakeholder-facing engineering roles. Responsibilities: We architect, train, and launch production-grade artificial intelligence and machine learning applications.We own the end-to-end development cycle, from raw data ingestion through to model deployment and runtime optimisation.We adapt, fine-tune, and embed large language models directly into our operational workflows.We partner with infrastructure and data engineering teams to scale and productionise machine learning code.We construct resilient data pipelines and secure APIs to feed downstream AI services.We advise on high-level architecture across both machine learning stacks and cloud systems. Technologies: AIAPIAWSArchitectAzureCI/CDCloudGCPMachine LearningPyTorchPythonTensorFlowmicroservicesDevOps More: We are a rapidly scaling enterprise offering a fully remote UK-wide arrangement or a hybrid setup from our London or Manchester hubs.

This is a 6-month contract with a competitive daily rate, performance bonus, and a comprehensive

Benefits

package. We are looking for a delivery-focused engineer who turns machine learning concepts into functional, revenue-driving products. This is a practical deployment role, not an academic research position, and our team is built around speed-to-market, measurable impact, and high autonomy. last updated 37 week of 2026