Senior ML Engineer - Real-World Impact, Onsite

Lorien; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Lorien in London seeks a Senior Machine Learning Engineer to deliver end-to-end ML in a secure, regulated environment. You will lead modelling efforts, design experiments, and work with real operational data, balancing rigour with pragmatic, production-ready solutions.

The role emphasizes independent ownership, strong math and statistics grounding, and clear communication with technical and non-technical stakeholders. Onsite work five days a week with a highly regulated setting.

Qualifications

• Proven senior practitioner level as ML Engineer or equivalent.
• Strong grounding in applied mathematics, statistics and scientific practice.
• Ability to evaluate ML models using quantitative evidence and structured experimentation.
• Excellent Python skills for building, evaluating, and iterating on ML solutions.
• Experience working with real-world, imperfect data from operational systems.
• Strong software engineering practices, readable and maintainable code.
• Understanding of data ethics, privacy, and responsible use of data.
• Clear communication across technical and non-technical audiences.
• Proven ability to lead work independently and take ownership of outcomes.

Responsibilities

• Lead end-to-end machine learning delivery from problem definition through evaluation and iteration.
• Apply mathematical and statistical reasoning to form hypotheses and quantify uncertainty.
• Design and run structured experiments to assess model behavior and impact.
• Work with real, imperfect operational data and transform data for model evaluation.
• Collaborate with internal teams and external partners on ML components and production systems.
• Communicate complex ideas clearly to non-technical stakeholders.
• Engage in deep technical design and review discussions within a strong assurance culture.

Skills

Senior practitioner level

Python

Structured experimentation

Production systems

Data ethics

Stakeholder communication

Tools

Weights & Biases

AWS SageMaker

Bedrock

Job description

Lorien in London seeks a Senior Machine Learning Engineer to deliver end-to-end ML in a secure, regulated environment. You will lead modelling efforts, design experiments, and work with real operational data, balancing rigour with pragmatic, production-ready solutions.

The role emphasizes independent ownership, strong math and statistics grounding, and clear communication with technical and non-technical stakeholders. Onsite work five days a week with a highly regulated setting.