Senior ML Engineer: Production AI/LLM Systems (Hybrid)

Xantura Limited; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work in London

Travel for client engagements

Maternity leave cover

Job summary

Xantura Limited in London is seeking a Machine Learning Engineer to design, train and productionise advanced ML models across client projects. You will build high-performance training pipelines, embed ML components into the OneView platform, and deliver robust, scalable AI solutions in live environments.

You will work with cross-functional teams, mentor on Python and data engineering, and contribute to the platform with modeling innovations. Hybrid office-based role with client work where needed.

Qualifications

• 3–5+ years’ experience in machine learning engineering
• Strong Python engineering skills and experience with modern ML frameworks
• Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based)
• Ability to build reproducible training and evaluation pipelines
• Experience containerising and deploying models (e.g., Docker, Fast API)
• Strong SQL and experience working with relational databases

Responsibilities

• Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models.
• Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability.
• Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation.
• Productionise models so they run reliably and efficiently at scale in client environments.
• Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference.
• Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads.
• Lead the modelling and data engineering components of client projects alongside DACs and Business Consultants.
• Acquire and extract data from client source systems
• Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs.
• Troubleshoot and resolve complex modelling and pipeline issues throughout delivery.
• Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models.
• Develop and deploy agentic and multicomponent AI systems using modern ML frameworks.
• Engineer high performance NLP and sequence models for information extraction, classification and risk prediction.

Skills

Python

ML frameworks

Model training

Docker

FastAPI

SQL

LLMs

NLP

Data pipelines

Client delivery

Tools

Docker

Azure ML

AKS

Job description

Xantura Limited in London is seeking a Machine Learning Engineer to design, train and productionise advanced ML models across client projects. You will build high-performance training pipelines, embed ML components into the OneView platform, and deliver robust, scalable AI solutions in live environments.

You will work with cross-functional teams, mentor on Python and data engineering, and contribute to the platform with modeling innovations. Hybrid office-based role with client work where needed.