Machine Learning Engineer £Up to £65,000 GBPCompetitive BonusHybrid WORKINGLocation: Central London, Greater London - United Kingdom Type: PermanentMachine Learning EngineerJoin a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors. This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.As a Machine Learning Engineer, you will design, develop, and deploy machine learning models that address some of the most complex challenges in national security. You will work in a consultative, hands-on role, collaborating with data scientists, software engineers, product managers, and stakeholders across the full lifecycle, from hypothesis through to production deployment.Due to the sensitive nature of this work, candidates must be willing to undergo DV (Developed Vetting) security clearance, be sole British nationals, and have not spent more than 29 consecutive days outside the UK in the last 5 years. Please note that this role does not provide visa sponsorship and is not open to applicants on Skilled Worker or Dependent visas.This role offers the opportunity to deliver real-world impact, working with diverse data types - including text, images, audio, video, and geospatial data - while applying cutting-edge methods in AI, machine learning, and MLOps/LLMOps practices.You'll have the opportunity to:Work alongside leading data scientists, ML engineers, and AI researchers on national security projectsDesign, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applicationsExplore and implement ML and LLM models on complex, multi-modal datasetsApply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platformsInfluence technical direction and best practice in ML and AI engineeringMentor and support junior engineers and graduatesEngage directly with clients to scope, design, and deliver operationally-ready AI and ML solutionsKey Responsibilities:Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applicationsLead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidlyTransition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoringBuild and optimise ML pipelines using cloud-based platforms and experiment tracking toolsImplement robust experiment tracking, model versioning, and reproducibility practices with full audit trailsSupport production models through monitoring, performance analysis, and continuous improvementApply responsible AI practices, including model explainability, fairness, and ethical considerationsPresent experiment findings and production outcomes to stakeholders, articulating operational and strategic valueMentor junior colleagues and share learnings across the teamKey Requirements:Willingness to undergo DV (Developed Vetting) security clearanceSole British national with no more than 29 consecutive days outside the UK in the last 5 yearsProven experience as a Machine Learning Engineer or equivalent roleHands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlowStrong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3)Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control)Experience developing LLM/GenAI applications, including prompt engineering and RAG architecturesAbility to absorb complex scientific and technical concepts and apply them to operational solutionsStrong communication skills for both technical and non-technical stakeholdersCuriosity, adaptability, and a desire to deliver real-world impactYou will gain exposure to:Advanced ML and LLM methods applied to national security challengesDeployment of ML models at scale using cloud platforms and MLOps/LLMOps pipelinesA broad range of data types, including text, images, audio, video, and geospatial dataEthical, privacy, and security considerations in AI/ML applicationsHigh-impact projects with government and defence clientsMentorship and development opportunities within a diverse, innovative environmentWhy Join:Work on high-impact projects that directly support national securityGain deep exposure to cutting-edge ML, LLM, and AI technologiesAccelerate your career in a supportive, high-performance consultancyBe part of a culture that values innovation, collaboration, and engineering excellenceInterested? Apply Now!Reference: AON/AMC/PGMachineLearning#aaonJBRP1_UKTJ