Artificial Intelligence/Machine Learning (AI/MI) Engineer

• Lead and contribute to ML projects, including forecasting, classification, anomaly detection, and LLM/GenAI applications.
• Design experiments, formulate hypotheses, evaluate results, and iterate rapidly to validate approaches.
• Transition experimental models into production-ready solutions, collaborating with engineers on deployment, monitoring, and optimisation.
• Build and maintain ML pipelines using AWS services and modern MLOps/LLMOps tooling.
• Implement robust versioning, experiment tracking, and reproducibility practices.
• Mentor junior engineers and contribute to team-wide AI knowledge sharing.
• Communicate complex technical concepts to both technical and non-technical stakeholders. Ideal candidate

• BSc, MSc, or PhD in a quantitative discipline (e.g., Maths, Physics, Computer Science).
• 4-5 years' experience in ML/AI engineering or data science roles (senior level).
• Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost).
• Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC).
• Proven track record transitioning models from experimentation to production with governance and quality controls.
• Experience developing LLM/GenAI solutions and familiarity with LLMOps tools.
• Strong problem-solving, communication, and project delivery skills.
• Eligible for UK DV security clearance; candidates without clearance must be able to undergo the process. Why this role is unique:
• Work on national security projects with niche datasets unavailable elsewhere., Senior (5+ years of experience)

Tagged as: Classification, Industry, Machine Learning, NLP, United Kingdom

• Influence AI adoption from the ground floor for high-profile government clients.
• Join a collaborative team of over 4,000 digital, cyber, and intelligence specialists across multiple locations.
• Hybrid working flexibility, generous benefits, career development support, and a culture valuing diversity and inclusion. For further information, feel free to reach me at 02895213213, or simply apply!