Senior Machine Learning Engineer in Northumberland

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems Productionize AI models from research prototypes into scalable, deployable systems used in real world applications Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval Work with multi-modal AI systems across computer vision, audio, and natural language domains Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions Benefits Grow with us: Equity options so you share in our growth. Build your future as we build ours. Family first: Parental leave and fertility support for every stage of life. Your family matters here. Plan your future: A 401(k) to help you save and invest. Secure what's ahead with confidence. Stay well: Comprehensive health coverage for body and mind. Because balance fuels great work. Keep learning: A stipend to explore, study, and sharpen your skills. Growth never stops. Work anywhere: Remote-first with flexible time off to recharge. Find balance wherever you are. Requirements Familiarity with multi-modal models and synthetic data generation methods Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers Active US Security clearance Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments Proven experience deploying AI models across cloud, edge, and mobile hardware environments 4+ years of experience in applied AI, ML engineering, or production AI systems Expertise in model compression and optimization (quantization, pruning, distillation) Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone) Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients Truth - Emphasizing transparency and honesty in every interaction and decision Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement We seek individuals who exemplify the following: Strong understanding of GPU computing, CUDA, and performance profiling Excellent communication and technical documentation skills for collaboration across multi disciplinary teams Understanding of AI governance and compliance frameworks relevant to public sector deployments Experience with edge AI, federated learning, or offline inference systems Experience integrating models into large scale distributed systems or microservice architectures #J-18808-Ljbffr