Senior Machine Learning Engineer

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.

Key responsibilities:

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.
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!

Reference: AMC/RKI

Reference:

AMC/RKI/Senior ML Engineer

Postcode:

SW1

#riki
TPBN1_UKTJ