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10,000+

Compliance jobs in United Kingdom

AI Machine Learning Principal Engineer

-

Singapore
On-site
SGD 125,000 - 150,000
4 days ago
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APAC Real Estate Tax Structuring Lead

HSBC

Singapore
On-site
SGD 80,000 - 120,000
4 days ago
Be an early applicant

Accountant - Dec 2025

Internetwork Expert

Singapore
On-site
SGD 55,000 - 75,000
4 days ago
Be an early applicant

Customer Service Specialist (Order Fulfillment) #66066

-

Singapore
On-site
SGD 60,000 - 80,000
4 days ago
Be an early applicant

SENIOR HAIRSTYLIST

LESS IS MORE (S) PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
4 days ago
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Construction Manager / Construction Project Manager - YL38

-

Singapore
On-site
SGD 80,000 - 100,000
4 days ago
Be an early applicant

Strategic CFO for Global Manufacturing Growth

StriveX

Singapore
On-site
SGD 180,000 - 250,000
4 days ago
Be an early applicant

Asia Global Payments Strategy Lead for Key Accounts

2C2P

Singapore
On-site
SGD 90,000 - 130,000
4 days ago
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Chief Private Wealth Advisory & HNW Strategy

Great Eastern

Singapore
On-site
SGD 60,000 - 80,000
4 days ago
Be an early applicant

Business Development Manager

Cyclect Holdings

Singapore
On-site
SGD 80,000 - 100,000
4 days ago
Be an early applicant

Strategic HR Partner & People Champion

Banyan Tree Hotels & Resorts Pte Ltd

Singapore
On-site
SGD 60,000 - 90,000
4 days ago
Be an early applicant

HR Executive (1-Year Contract) — Talent & Compliance Lead

CADMUS RESOURCES

Singapore
On-site
SGD 45,000 - 65,000
4 days ago
Be an early applicant

Senior Electrical Engineer - Data Center & MEP Design

Fashion Institute of Design & Merchandising

Singapore
On-site
SGD 60,000 - 90,000
4 days ago
Be an early applicant

Head of Tax Structuring, APAC, Based in Singapore/Hong Kong

HSBC

Singapore
On-site
SGD 80,000 - 120,000
4 days ago
Be an early applicant

Event Operations Specialist

Maker Lab

Singapore
On-site
SGD 55,000 - 75,000
4 days ago
Be an early applicant

Senior Executive - PMO Analyst (Cluster Office)

Synapxe

Singapore
On-site
SGD 50,000 - 80,000
4 days ago
Be an early applicant

Senior Credit Documentation & Risk Assurance Lead

Charterhouse Pte Ltd

Singapore
On-site
SGD 70,000 - 90,000
4 days ago
Be an early applicant

Construction Field Supervisor - YL38

THE SUPREME HR ADVISORY PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
4 days ago
Be an early applicant

Site Construction Supervisor – Lead & Ensure Safe Projects

THE SUPREME HR ADVISORY PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
4 days ago
Be an early applicant

HR Manager

Banyan Tree Hotels & Resorts Pte Ltd

Singapore
On-site
SGD 60,000 - 90,000
4 days ago
Be an early applicant

Strategic IT Expense & Asset Leader

Chubb European Group Ltd.

Singapore
On-site
SGD 70,000 - 90,000
4 days ago
Be an early applicant

Credit Documentation Assurance Specialist

Charterhouse Pte Ltd

Singapore
On-site
SGD 70,000 - 90,000
4 days ago
Be an early applicant

IT Ops Support

RAPSYS TECHNOLOGIES PTE LTD

Singapore
On-site
SGD 50,000 - 70,000
4 days ago
Be an early applicant

CPO GMP Quality Manager

Novartis

Singapore
On-site
SGD 60,000 - 80,000
4 days ago
Be an early applicant

Senior Hospital Construction Project Director

-

Singapore
On-site
SGD 80,000 - 100,000
4 days ago
Be an early applicant

Top job titles:

Work From Home jobsCfo jobsHealthcare jobsHuman Resouces jobsManager Hrm jobsStudent jobsArchitect jobsBusiness Development Manager jobsFacilities jobsQuality Analyst jobs

Top companies:

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Similar jobs:

Risk And Compliance jobsCompliance Officer jobsCompliance Manager jobs
AI Machine Learning Principal Engineer
-
Singapore
On-site
SGD 125,000 - 150,000
Full time
4 days ago
Be an early applicant

Job summary

A leading technology firm in Singapore is looking for an AI Machine Learning Principal Engineer. This role involves developing scalable machine learning models, optimizing code and collaborating with various stakeholders to implement solutions. The ideal candidate will have at least 8 years of relevant experience and a strong background in machine learning, statistics, and software engineering. Leadership and communication skills are essential for driving results and influencing internal and external partners. Competitive compensation and benefits are offered.

Qualifications

  • 8+ years experience in a related professional role.
  • Knowledge of compliance, Safety, EMC, Wireless, Telecom, and Environmental legislation is a plus.
  • Experience leading and influencing stakeholders.

Responsibilities

  • Develop and optimize scalable machine learning models.
  • Collaborate with stakeholders to align end-to-end solutions.
  • Lead the design and testing of analytical technologies.
  • Identify gaps and collaborate with engineering teams.
  • Drive partnerships for analytical solutions.

Skills

AI machine learning
Statistics
Optimization techniques
Software engineering
Data engineering
Analytical thinking
Leadership

Education

Bachelor's degree
Master's degree
PhD
Job description
What you'll achieve

An opening based in Singapore Design Centre (SDC) for AI Machine Learning Principal Engineer of Global Regulations/Standards and Environmental Affairs is available.

The primary responsibility will be Engineering end-to-end, performant, modifiable and scalable machine learning models using techniques from statistics, optimization, software engineering and data engineering. Uses machine language and statistical modelling to evaluate performance, quality, data management and accuracy. Uses a variety of techniques in order to improve the predictive capability of natural language processing and/or machine perception algorithms. This person will interface with all levels of the organization, as well as, Dell IT team (in US and India)

You will:

  • Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models. Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
  • Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design. Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
  • Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest. Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
  • Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
  • Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

Take the first step towards your dream career,

Essential Requirements
  • Requires 8+ years of related experience in a professional role with a Bachelor's degree; or 6+ years with a Master's degree; or 3+ years with a PhD; or equivalent experience
  • Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus.
  • Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes.
Desirable Requirements
  • Education in Engineering, Computer Science, or other related subjects.
  • Exceptional organizational and communications skills
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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