Principal Machine Learning Scientist - Optimization Expert

intelmatix; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading deep-tech AI company is seeking a Principal Machine Learning Scientist specializing in optimization to join their team in London. The role involves developing scalable solutions that drive business value through advanced computational models. Candidates should possess a Master's degree in a relevant field and significant experience in optimization techniques, alongside proficiency in Python and SQL. Competitive salary offered, with a rich benefits package designed to meet employee needs.

Benefits

Medical insurance for you and your dependents

Salary advance for housing costs

Role-related training support

Children's school allowance

Relocation support

Travel tickets

Wellness programs

Pension contributions

In-office snacks pantry

Qualifications

• 5-7+ years in quantitative analytics, data modeling, or operations research.
• Expertise in Python and SQL, significant experience with optimization libraries.

Responsibilities

• Develop scalable optimization solutions leveraging machine learning.
• Collaborate to transition optimization model prototypes into applications.
• Utilize optimization models for actionable business insights.

Skills

Optimization

Python

SQL

Education

Master’s degree in Operations Research, Computer Science, Engineering

Tools

Optimization libraries (e.g., PuLP, Gurobi, CPLEX)

Job description

Principal Machine Learning Scientist - Optimization Expert

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About Intelmatix

We are a deep-tech AI company founded by a group of MIT technologists and with global presence with offices located strategically in Riyadh, London and Boston, enabling international operation and diverse collaborations with businesses worldwide. We are committed to transforming companies into cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate

About Intelmatix

We are a deep-tech AI company founded by a group of MIT technologists and with global presence with offices located strategically in Riyadh, London and Boston, enabling international operation and diverse collaborations with businesses worldwide. We are committed to transforming companies into cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate

Job Overview

We are seeking a Principal Machine Learning Scientist with a specialization in optimization to join our dynamic team. This role is pivotal in merging cloud infrastructure, DevOps practices, and machine learning to automate and deploy advanced computational models focused on optimization across various industries. You will lead the innovation in optimization algorithms, enhancing our product offerings and driving our technological evolution with a focus on efficiency and problem-solving at scale.

Key Responsibilities

• Develop Scalable Optimization Solutions: Craft scalable and adaptable optimization solutions that deliver tangible improvements and efficiencies, leveraging the latest in machine learning and operations research
• Prototype to Production: Collaborate with engineering teams to transition optimization model prototypes into optimized, scalable, and fully integrated applications that drive significant business value
• Drive Business Insights with Optimization Models: Utilize optimization models to extract actionable insights that inform strategic decisions, promoting significant business improvements and effectively communicating findings to stakeholders
• Specialize in Optimization: Develop and implement cutting-edge optimization algorithms that solve complex problems in areas such as logistics, scheduling, resource allocation, and network design
• Ensure Data Integrity for Optimization Models: Conduct thorough data audits and cleansing, focusing on the unique demands of optimization problems to power insightful and effective solutions
  
  

Required Qualifications

• Advanced Expertise in Optimization: Master’s degree (or equivalent) in Operations Research, Computer Science, Engineering, or a related field with a strong focus on optimization.
• Proven Experience: 5-7+ years in quantitative analytics, data modeling, or operations research, with a deep understanding of optimization techniques and their application in machine learning.
• Technical Proficiency: Expertise in Python and SQL, with significant experience using optimization libraries (e.g., PuLP, Gurobi, CPLEX)
  
  

Preferred Qualifications

• Leadership in Optimization Projects: Experience leading complex projects that focus on optimization, demonstrating an ability to mentor teams and manage cross-functional projects effectively
• Machine Learning Integration: Knowledge in integrating optimization with machine learning techniques (using TensorFlow, PyTorch) to enhance decision-making processes and model performance
• Cloud and MLOps for Optimization Models: Familiarity with deploying and managing optimization models on cloud platforms (AWS, GCP, Azure) and employing MLOps practices (with tools like MLFlow, BentoML) to ensure efficient lifecycle management of optimization solutions
• Ethical AI and Continuous Learning: A robust understanding of AI ethics and privacy considerations, especially relevant to optimization, coupled with a commitment to continuous learning and staying current with the latest trends and research in optimization and machine learning
  
  

Employee Benefits

At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their well-being and professional growth. Depending on your office location and specific needs, our benefits may include:

• Medical insurance for you and your dependents
• Salary advance for housing costs
• Role-related training support
• Children's school allowance
• Relocation support
• Travel tickets
• Wellness programs
• Pension contributions
• In-office snacks pantry
  
  

We are committed to continuously enhancing our benefits package to adapt to the unique needs and circumstances of our valued team members, ensuring a supportive and enriching environment for everyone at Intelmatix.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Software Development

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