Principal Machine Learning Scientist - Optimization Expert

Intelmatix; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player seeks a Principal Machine Learning Scientist specializing in optimization to lead innovative projects. This pivotal role merges cloud infrastructure, DevOps practices, and advanced computational models to enhance efficiency across various industries. You will craft scalable optimization solutions, transition prototypes to production, and drive actionable insights through optimization models. Join a dynamic team dedicated to transforming enterprises into cognitive powerhouses, all while enjoying a comprehensive benefits package tailored to support your well-being and professional growth. If you're passionate about optimization and machine learning, this is the opportunity for you!

Benefits

Medical insurance

Salary advance for housing

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 with a focus on optimization techniques.
• Master's degree in Operations Research or related field required.

Responsibilities

• Develop scalable optimization solutions leveraging machine learning and operations research.
• Drive business insights using optimization models to inform strategic decisions.

Skills

Optimization Techniques

Data Modeling

Quantitative Analytics

Problem-Solving

Communication Skills

Education

Master's in Operations Research

Bachelor's in Computer Science

Tools

Python

SQL

PuLP

Gurobi

CPLEX

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

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:

1. 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.
2. Prototype to Production: Collaborate with engineering teams to transition optimization model prototypes into optimized, scalable, and fully integrated applications that drive significant business value.
3. 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.
4. 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.
5. 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:

1. 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.
2. 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.
3. Technical Proficiency: Expertise in Python and SQL, with significant experience using optimization libraries (e.g., PuLP, Gurobi, CPLEX).

Preferred Qualifications:

1. Leadership in Optimization Projects: Experience leading complex projects that focus on optimization, demonstrating an ability to mentor teams and manage cross-functional projects effectively.
2. Machine Learning Integration: Knowledge in integrating optimization with machine learning techniques (using TensorFlow, PyTorch) to enhance decision-making processes and model performance.
3. 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.
4. 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.