Senior Machine Learning Engineer | London, UK

NLP PEOPLE; Greater London; Hybrid; GBP 55,000 - 65,000; Full time

Job summary

A leading UK technology organisation is seeking a Senior Machine Learning Engineer to contribute to national security projects. This role involves designing, developing, and deploying cutting-edge ML models and LLM/GenAI solutions. Candidates should have at least 4-5 years of senior-level experience and hands-on proficiency in Python ML frameworks and AWS ML services. This hybrid role offers the opportunity to influence AI adoption and work with unique datasets, fostering career development and collaboration within a diverse team.

Benefits

Generous benefits

Career development support

Diversity and inclusion culture

Qualifications

• 4-5 years’ experience in ML/AI engineering or data science roles at a senior level.
• Eligible for UK DV security clearance or undergo the process.
• Hands-on experience developing LLM/GenAI solutions.

Responsibilities

• Lead and contribute to ML projects involving forecasting and classification.
• Design experiments and validate approaches rapidly.
• Transition models into production with governance.

Skills

Python ML frameworks

Machine learning methods

Project delivery skills

Problem-solving

Communication

Education

BSc, MSc, or PhD in a quantitative discipline

Tools

AWS ML services

MLflow

scikit-learn

PyTorch

TensorFlow

XGBoost

Job description

£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 02895213213, or simply apply!

Company:

Anson McCade

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