Machine Learning Engineer

Location: London, UK (3 days in office)
SC Cleared: Required
Job Type: Full-Time
Experience: 10 –15 years (Relevant exp 5+ years)

Job Summary:

We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform).

Responsibilities:
Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed.
Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines.
Ensure the models are modular.
Ensure the model is source controlled with agreed release numbering.
Extract any hard-coded elements and parameterise them so that the model execution can be controlled through input parameters.
Ensure the model input parameters are version controlled and logged to the model execution runs for auditability.
Ensure model metrics are logged to the model runs.
Ensure model logging, monitoring, alerting to make sure any failure points are captured, monitored and alerted for support team to investigate or re-run
If the model involves running of multiple experiments and chooses the best model (champion challenger) based on the accuracy/error rate of each experiment, ensure this is done in an automated manner.
Ensure the model is triggered to run as per the defined schedule.
If the process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies.
Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit.
Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain.
Implement CI/CD pipelines for ML models and automate the deployment.
Maintain relevant documentation.
Requirements:
Bachelor's degree in a relevant field.
Minimum of 5 years of experience as a business analyst, with a focus on capturing and documenting business requirements and business processes.
Strong understanding of banking and financial industry practices and regulations.
Solid knowledge of Data Management process, data analysis and modeling techniques.
Experience in monetary policy analysis (nice to have)
Experience in time series database analysis
Familiarity with business intelligence tools and concepts.
Strong analytical and problem-solving skills.
Experience in managing software development lifecycles within Agile frameworks to ensure timely and high-quality delivery.
Excellent communication and collaboration skills.
Ability to adapt to changing requirements and priorities in a fast-paced environment.