Scoring Engineer (AI/ML)
Posted 1 day ago by 1768024106
£523 Per day
Inside
Hybrid
London
Summary: The role of Scoring Engineer (AI/ML) involves analyzing business requirements and maintaining the Quantexa platform while building and delivering AI systems. The position requires collaboration with cross-functional teams and a focus on delivering impactful solutions in a fast-paced environment. Candidates should possess strong analytical skills and experience in machine learning and statistics. This is a hybrid role based in London, with a contract duration of 12 months and an inside IR35 status.
Key Responsibilities:
- Analyse business requirements and support and maintain Quantexa platform.
- Build and deliver AI systems as an individual contributor and in teams.
- Help design and maintain a solution using a rigorous hypothesis-based approach.
- Partner with cross-functional technical teams including solution architects and data engineers.
- Rapidly and iteratively deliver results in a fast-paced environment.
- Break down complex concepts into succinct components for stakeholders.
- Extract meaning from and interpret data using statistics and machine learning tools.
- Collect, clean, and organise data to generate insights for business problems.
- Explain and present analytical results.
- Analyse defects and provide fixes.
- Provide release notes for deployments and support release activities.
- Maintain a problem-solving attitude and keep up to date with new skills.
Key Skills:
- Exposure to fraud, financial crime, customer insights, or compliance-based projects.
- Strong knowledge of statistics, deep learning, machine learning, K-NN, random forest, ensemble methods.
- Experience with MLOps including model deployment, CI/CD, and unit testing (GIT, Azure DevOps).
- Experience in building ML pipelines and feature engineering.
- Experience with model governance including explainability and documentation.
- Desirable knowledge of Scala and Python, Apache Spark, and Azure platform.
- Strong knowledge of SQL.
- Strong analytical, machine learning, and deep learning skills.
Salary (Rate): £523 per day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job Description:
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role: Scoring Engineer (AI/ML)
Location: London
Working Mode: Hybrid (Weekly 2-3 days Onsite)
Contract Type: Inside IR35
Duration: 12 months
Rate: £523 per day Inside IR35
KEY ACCOUNTABILITIES
Analyse business requirements and support and maintain Quantexa platform.
Build and deliver AI systems as an individual contributor and in teams
Help design and maintain a solution using a rigorous hypothesis-based approach, partner with cross functional technical teams including solution architect and data engineers, and execute the development with focus on impact
Rapidly and iteratively deliver results in a fast-paced environment with skills creative to pivot quickly for alternative solutions
Break down complex concepts into succinct components which can be easily communicated to range of stakeholders
Able to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human
Able to collect, clean and organise data, to generate insights from data to solve business problems and create business value.
Explaining and presenting analytical results
Analyse defects and provide fixes
Provide release notes for deployments
Support Release activities
Problem solving attitude
Keep up to date with new skills - Develop technology skills in other areas of Platform
Skills and Experience:
Exposure to Fraud, financial crime, customer insights or compliance-based projects that utilize detection and prediction models
Strong knowledge of statistics, deep learning, machine learning, K-NN, random forest, ensemble methods etc
Experience with MLOps including model deployment, CI/CD and unit testing. (GIT, Azure devops etc)
Experience in building ML pipelines, feature engineering and ability to handle large dataset for business insights.
Experience with model governance including explainability, observability and documentations
Scala and Python knowledge desirable, Apache Spark, Azure platform knowledge is a plus
Strong knowledge of SQL
Strong Analytical, machine learning and deep learning skills
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.