UiPath

ML Engineer, Peak

Manchester, England, United Kingdom

$120,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field, along with at least one year of industry experience alongside their academic background. Strong Python programming skills and problem-solving abilities are required, as well as a solid foundation in statistical techniques and expertise in machine learning, mathematical optimization, or statistical modeling.

Responsibilities

As a Machine Learning Engineer, you will develop and implement sophisticated machine learning models and statistical algorithms for pricing and inventory optimization, collaborating with cross-functional teams to build innovative software solutions. You will also write clean, maintainable code, design and maintain efficient APIs, conduct thorough testing and documentation, research and implement state-of-the-art techniques, and stay current with advancements in machine learning and software engineering.

Skills

Python
Machine Learning
Statistical Modeling
Mathematical Optimization
API Design
Testing
Data Analysis
Problem-Solving

UiPath

Robotic process automation software solutions

About UiPath

UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.

Key Metrics

New York City, New YorkHeadquarters
2005Year Founded
$1,936.8MTotal Funding
IPOCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Flexible Work Hours
Remote Work Options

Risks

Rapid AI agent evolution may outpace UiPath's current RPA offerings.
High implementation costs and rigidity of traditional RPA tools could deter clients.
Emergence of platforms like Salesforce's Agentforce may provide competitive alternatives.

Differentiation

UiPath offers AI-driven workflows enhancing business efficiency through intelligent automation.
The company provides robust governance and multiple robots on a single virtual machine.
UiPath's marketplace for third-party integrations expands its ecosystem and customer solutions.

Upsides

UiPath leads the 2024 Everest Group automation assessment, showcasing industry leadership.
The launch of AI Trust Layer enhances governance of GenAI features across the platform.
Collaboration with The Bank of East Asia expands UiPath's enterprise automation solutions.

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