Company

eFinancialCareersSee more

addressAddressMidlothian, Scotland
type Form of workPermanent, full-time
salary SalaryCompetitive salary
CategoryEngineering

Job description

Description:

We are looking for an experienced Machine Learning/ML Engineer to deploy at one of our financial services clients. This is a priority project for the them as they look to build and implement new forecasting and statistical models in a new business domain to help them engage with the market more effectively, gain larger market share, and have a more profitable and targeted product range.

They are also looking at creating cost optimisation tools that will be implemented across the org' that this individual will play an influential role in.

This role will be more focused on progressing/tools into production so that they can be consumed by other applications in future, to enable the business to be self-servant in accessing and publishing data. 

The key skills and technologies being used are AWS Sagemaker, Docker and use of APIs.

It will be predominantly remote, but ideally could come into the office 1 day a week on site at their Edinburgh office, for an initial 6 months, inside IR35 starting within 4 weeks.

Job Title:Machine Learning Engineer

Location: Edinburgh, UK

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Refer code: 2434769. eFinancialCareers - The previous day - 2024-01-06 09:58

eFinancialCareers

Midlothian, Scotland

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