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Job Description
- In this role, youll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms
- Day-to-day, youll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders
- If you see opportunities where others see challenges, youll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development
- Were offering this role at vice president level
Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. Youll also codify and automate complex machine learning model productions, including pipeline optimisation.
Well expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. Youll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business.
- Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy
- Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production
- Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance
- Understanding and addressing any shortfalls, for instance, through retraining
- Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes
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To be successful in this role, youll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. Youll also have the ability to use data to solve business problems, from hypotheses through to resolution.
Well look to you to have overall twelve years experience with machine learning on large datasets, as well as experience building, testing, supporting, and deploying advanced machine learning models into a production environment using modern CI/CD tools, including git, TeamCity and CodeDeploy.
Youll Also Need
- Proficiency in Python and relevant libraries and Machine learing framework e.g. Tensorflow, Pytorch
- Experience with AWS, Google Cloud Platform, or Azure for deploying machine learning models
- Strong understanding of CI/CD pipelines, version control (e.g., Git), and containerization (e.g., Docker) and MLOps, LLMOps experience preferred
- Knowledge of various machine learning algorithms and familiarity with concepts such as overfitting, and model evaluation metrics
Skills
PythonData ScienceMachine LearningScrumAnalyticsGoogle CloudIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
NatWest Group plc, a leading banking and insurance entity headquartered in Edinburgh, Scotland, provides a diverse range of financial services.
This prestigious group encompasses various banking brands, catering to personal and business banking needs, as well as offering services in private banking, investment banking, insurance, and corporate finance. Its prominent subsidiaries in the United Kingdom include National Westminster Bank, Royal Bank of Scotland, NatWest Markets, and Coutts, with the group also responsible for issuing banknotes in Scotland and Northern Ireland.
Historically, before the turmoil of the 2008 financial crisis, NatWest Group had ascended to become the world’s largest bank for a brief duration. It ranked as the second-largest in the UK and Europe, and fifth globally in terms of market capitalisation. However, the crisis led to a dramatic fall in its standings due to a plummeting share price and a significant erosion of confidence, necessitating a bailout through the 2008 United Kingdom bank rescue package. At one point in 2009, it became the largest company globally by assets (£1.9 trillion) and liabilities (£1.8 trillion).
The UK government, which had acquired a majority share as part of the bailout, maintained control until 28 March 2022, with the stake managed by UK Government Investments. Since then, the government has gradually reduced its shareholding through various transactions.
NatWest Group is listed on major stock exchanges, including the London Stock Exchange and the New York Stock Exchange. For those interested in exploring a career with NatWest, the group offers myriad opportunities across its extensive network. Positions are available in various fields, including banking, finance, technology, and customer service, reflecting the company's commitment to innovation and excellence in the financial sector. NatWest Group's career prospects are aimed at individuals seeking to contribute to a dynamic, evolving landscape, emphasizing professional growth and development within a globally recognized banking institution.
Important dates & deadlines?
Application Deadline
08 Jul 26, 02:56 PM IST
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Machine Learning Engineer, VP
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