Machine Learning Engineer

London, United Kingdom; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading tech company is seeking a Machine Learning Engineer in Central London to design and deploy ML models for national security applications. Responsibilities include building ML pipelines and developing innovative solutions using AWS infrastructure. The ideal candidate has proficiency in Python and experience with AWS ML services, as well as knowledge of LLMOps and responsible AI practices. This role offers a competitive salary, hybrid working options, and a £7k tax-free DV bonus. Apply today to make a real-world impact.

Benefits

£7k tax‑free DV bonus

Hybrid working

Flexible benefits

Qualifications

• Proficiency in Python and ML frameworks.
• Hands-on experience with AWS ML services.
• Knowledge of LLMOps and GenAI tools.

Responsibilities

• Build and optimise Machine Learning pipelines.
• Develop LLM-powered solutions and apply responsible AI practices.
• Collaborate with data scientists and engineers.

Skills

Proficiency in Python

ML frameworks (scikit‑learn, PyTorch, TensorFlow)

Hands‑on experience with AWS ML services

Familiarity with containerisation (Docker)

Knowledge of LLMOps and GenAI tools

Understanding of feature engineering

Strong grasp of CI/CD practices

Tools

AWS SageMaker

Docker

Kubernetes

ECS

Job description

£45,000 - £65,000 GBP

£7,000 DV Bonus

Hybrid WORKING

Location: Central London, Greater London - United Kingdom

Type: Permanent

Title: Machine Learning Engineer

Area: National Security Projects

Location: London (Hybrid) - 3 days per week

Security: Eligibility for Developed Vetting Clearance with the UK Government

Salary: Up to £65k + £7k annual DV bonus (once obtained)

About the Role

We're seeking Machine Learning Engineers to design and deploy ML models for national security applications. You'll work on GenAI, LLMOps, and traditional ML solutions using AWS infrastructure, unique datasets collaborating with data scientists and software engineers to build greenfield solutions.

What You'll Do

• Build and optimise Machine Learning pipelines
• Develop LLM-powered solutions and apply responsible AI practices
• Transition experiments into production‑ready solutions
• Implement experiment tracking and monitoring
• Collaborate with data scientists and engineers

What We're Looking For

• Proficiency in Python and ML frameworks (scikit‑learn, PyTorch, TensorFlow)
• Hands‑on experience with AWS ML services (SageMaker, Lambda)
• Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS)
• Knowledge of LLMOps and GenAI tools (LangChain, LangSmith)
• Understanding of feature engineering and vector databases
• Strong grasp of CI/CD practices for ML deployment

Why Join Us

• Work with niche datasets and cutting‑edge tech
• Hybrid working and flexible benefits
• £7k tax‑free DV bonus once clearance completes

Apply today and make a real‑world impact.