Staff Software Engineer - Reference Data - AI/ML in Edinburgh, Scotland -UK-Based Applicants Only

Naija UK Connect Limited
Edinburgh, UK
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£70,314.0
Working hours
Regular working hours
Languages
Afrikaans

Tech stack

Artificial Intelligence Big Data Information Engineering Data Infrastructure Distributed Systems Machine Learning Reference Data Data Management Programming Languages

Job description

Staff Software Engineer - Reference Data - AI/ML in Edinburgh, Scotland - UK-Based Applicants Only

Company

Company Addepar

Location

Location Edinburgh, Scotland

Type

Type full_time

Sponsorship

Sponsorship Check with employer

UK-based applicants - this role does not advertise visa sponsorship. Right-to-work in the UK is preferred. Foreigners may still enquire with the employer.

Addepar is seeking a Staff Software Engineer - Reference Data - AI/ML to join their team in Edinburgh, Scotland. This full-time role is ideal for experienced tech professionals already based in the UK with existing right-to-work, though foreign applicants may still enquire directly with the employer. The position offers a competitive salary of £70,313.55, providing a fantastic opportunity to leverage AI and data within the financial sector.

Job Description

As a Staff Software Engineer focusing on Reference Data and AI/ML at Addepar, you will be instrumental in developing and enhancing a global data and AI platform that empowers investment professionals. Your work will involve transforming complex financial information into actionable intelligence, contributing to a system used by over 1,400 firms in nearly 60 countries.

You will be part of a team that unifies portfolio, market, and client data, delivering AI-powered insights within critical investment and client workflows. This role offers a unique opportunity to work with an open platform that integrates with nearly 650 software, data, and consulting partners, making a tangible impact on the financial technology landscape.

Requirements

  • Proven experience as a Staff Software Engineer or similar senior role, with a strong background in AI/ML.
  • Demonstrable expertise in reference data management and architecture.
  • Proficiency in relevant programming languages and technologies for AI/ML and data platforms.
  • Experience with large-scale data processing and distributed systems.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Applicants must have existing right-to-work in the UK.
  • Competitive salary of £70,313.55.
  • Opportunity to work with a leading global data and AI platform.
  • Be part of an innovative company transforming the investment industry.
  • Collaborate with a diverse team of experts in AI, data, and finance.
  • Professional development and growth opportunities within a dynamic tech environment.

How to Prepare

For Nigerian and African immigrants targeting this Staff Software Engineer role in the UK, it’s crucial to present a highly polished application that highlights your technical prowess and UK readiness. Ensure your CV is formatted to UK standards, emphasizing your experience in AI/ML and reference data, using keywords relevant to the fintech industry. Your LinkedIn profile should be meticulously updated, showcasing your projects and endorsements that align with Addepar’s needs.

While this role prefers UK-based applicants with right-to-work, if you are a foreign applicant, your cover letter is your chance to make a strong case. Articulate clearly your transferable skills, any UK-recongnised credentials you possess, and demonstrate a deep understanding of the UK tech market. Focus on how your unique experience can add value to Addepar, even if your current status requires a conversation.

  • Tailor your CV to UK formats, highlighting AI/ML, data platform, and fintech experience.
  • Optimize your LinkedIn profile to attract UK tech recruiters and demonstrate expertise.
  • Craft a compelling cover letter that addresses the UK-based requirement and showcases transferable skills.
  • Prepare for technical interviews that will assess your depth in AI, ML, and data engineering.
  • Research Addepar’s specific projects and technologies to demonstrate genuine interest and fit.

Visa sponsorship is NOT advertised for this position. The employer explicitly prefers UK-based applicants with existing right-to-work. Foreign applicants without current UK right-to-work may still apply but should clearly confirm their eligibility and potential need for sponsorship directly with the employer during their application process.

We’ll show you our communities first, then take you to the employer’s site.

Requirements

  • Proven experience as a Staff Software Engineer or similar senior role, with a strong background in AI/ML.
  • Demonstrable expertise in reference data management and architecture.
  • Proficiency in relevant programming languages and technologies for AI/ML and data platforms.
  • Experience with large-scale data processing and distributed systems.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Applicants must have existing right-to-work in the UK.

Benefits & conditions

  • Competitive salary of £70,313.55.
  • Opportunity to work with a leading global data and AI platform.
  • Be part of an innovative company transforming the investment industry.
  • Collaborate with a diverse team of experts in AI, data, and finance.
  • Professional development and growth opportunities within a dynamic tech environment.

About the company

Addepar is seeking a Staff Software Engineer - Reference Data - AI/ML to join their team in Edinburgh, Scotland. This full-time role is ideal for experienced tech professionals already based in the UK with existing right-to-work, though foreign applicants may still enquire directly with the employer. The position offers a competitive salary of £70,313.55, providing a fantastic opportunity to leverage AI and data within the financial sector.

Apply for this position

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