Machine Learning Engineer

Machine Learning Engineer
£Up to £65,000 GBP
Competitive Bonus
Hybrid WORKING
Location:

Central London, Greater London - United Kingdom

Type:

Permanent

Machine Learning Engineer
Join 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 projects
Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications
Explore and implement ML and LLM models on complex, multi-modal datasets
Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms
Influence technical direction and best practice in ML and AI engineering
Mentor and support junior engineers and graduates
Engage directly with clients to scope, design, and deliver operationally-ready AI and ML solutions
Key Responsibilities:

Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications
Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly
Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring
Build and optimise ML pipelines using cloud-based platforms and experiment tracking tools
Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails
Support production models through monitoring, performance analysis, and continuous improvement
Apply responsible AI practices, including model explainability, fairness, and ethical considerations
Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value
Mentor junior colleagues and share learnings across the team
Key Requirements:

Willingness to undergo DV (Developed Vetting) security clearance
Sole British national with no more than 29 consecutive days outside the UK in the last 5 years
Proven experience as a Machine Learning Engineer or equivalent role
Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow
Strong 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 architectures
Ability to absorb complex scientific and technical concepts and apply them to operational solutions
Strong communication skills for both technical and non-technical stakeholders
Curiosity, adaptability, and a desire to deliver real-world impact
You will gain exposure to:

Advanced ML and LLM methods applied to national security challenges
Deployment of ML models at scale using cloud platforms and MLOps/LLMOps pipelines
A broad range of data types, including text, images, audio, video, and geospatial data
Ethical, privacy, and security considerations in AI/ML applications
High-impact projects with government and defence clients
Mentorship and development opportunities within a diverse, innovative environment
Why Join:

Work on high-impact projects that directly support national security
Gain deep exposure to cutting-edge ML, LLM, and AI technologies
Accelerate your career in a supportive, high-performance consultancy
Be part of a culture that values innovation, collaboration, and engineering excellence
Interested? Apply Now!

Reference:

AON/AMC/PGMachineLearning

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