Machine Learning Engineer
Posted 4 days ago by Qualient Technology Solutions UK Limited
Negotiable
Inside
Hybrid
London, UK
Summary: We at Qualient Solutions are seeking a Machine Learning Engineer to join our team in London, UK. The role involves collaborating with Data Scientists to operationalize machine learning models, ensuring they are modular, version-controlled, and monitored. The position requires active security clearance and is classified as a contract role inside IR35.
Key Responsibilities:
- Collaborate with Data Scientists and operationalize the model with auditing enabled, ensuring reproducibility.
- Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines.
- Ensure models are modular and source controlled with agreed release numbering.
- Parameterize hard-coded elements for controlled model execution through input parameters.
- Version control and log model input parameters for auditability.
- Log model metrics to execution runs.
- Monitor and alert on model logging and failures for support team investigation.
- Automate the running of multiple experiments to choose the best model based on accuracy/error rate.
- Trigger model runs as per defined schedules and orchestrate dependencies.
- Define and maintain ML Frameworks (Python, R & MATLAB templates) for reusable code.
- Capture data drift, concept drift, and model performance degradation signals for retraining.
- Implement CI/CD pipelines for ML models and automate deployment.
- Maintain relevant documentation.
Key Skills:
- Bachelor's degree in a relevant field.
- Minimum of 5 years of experience as a business analyst, focusing on capturing and documenting business requirements.
- Strong understanding of banking and financial industry practices and regulations.
- Solid knowledge of Data Management processes, data analysis, and modelling 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 life cycles within Agile frameworks.
- Excellent communication and collaboration skills.
- Ability to adapt to changing requirements in a fast-paced environment.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
We at Qualient Solutions are looking for a Machine Learning Engineer based in London, UK.
Role Title: Machine Learning Engineer
Role Location: London, UK (Hybrid)
Role Type: Contract (inside ir35)
Must: Active Security Clearance
Job Summary:-
Responsibilities:
- Collaborate with Data Scientists and operationalize 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 of 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 modelling 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 life cycles 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.