Senior Machine Learning Engineer

£55,000 – 65,000 GBP

Hybrid WORKING

Location:

Central London, Greater London – United Kingdom Type:
Permanent

Senior Machine Learning Engineer – National Security (London, Hybrid)

Salary:
Up to £65,000 per year + £7,000 DV clearance bonus (tax‑free, subject to eligibility)

Working Model:
Hybrid – 3 days on client site once clearance is granted, 1 day in central office, remainder remote

A leading UK national security-focused technology organisation is seeking a Senior Machine Learning Engineer to join its AI team. You will design, develop, and deploy ML models and LLM/GenAI solutions to solve real-world national security challenges. This is a highly innovative, collaborative, and impactful environment where you will apply cutting‑edge machine learning methods to unique datasets.

• 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.

• 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, Tensor Flow, XGBoost).
• Experience with AWS ML services (Sage Maker, 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.

• Work on national security projects with niche datasets unavailable elsewhere.
• 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 , or simply apply!

Anson Mc Cade

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