Operations Research Engineer (Remote - UK)

Jobgether; United Kingdom; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading company seeks an Operations Research Engineer to design optimization models for logistics and resource allocation. Applicants should have a Master's degree and experience with tools like Python and SQL. This role includes flexible working conditions and offers the chance to impact global trade and supply chains positively.

Benefits

Flexible working hours

Comprehensive healthcare coverage

Generous paid time off

Annual learning & development stipend

Collaborative team culture

Qualifications

• Strong understanding of optimization and statistical analysis.
• 1-2 years of hands-on experience applying OR techniques preferred.
• Familiarity with machine learning is a plus.

Responsibilities

• Develop mathematical models for real-world business challenges.
• Design algorithms for logistics and inventory management.
• Collaborate with engineering teams to improve processes.

Skills

Analytical Thinking

Problem Solving

Communication Skills

Education

Master's degree in Operations Research or related field

Tools

Python

SQL

Data Visualization Tools

Job description

This position is posted by Jobgether on behalf of Kpler. We are currently looking for an Operations Research Engineer in the United Kingdom.

We are seeking a curious and analytical Operations Research Engineer to help design and implement optimization and simulation models that drive smarter business decisions. This role is ideal for someone who thrives on solving complex problems with practical impact, enjoys working across cross-functional teams, and brings strong technical skills in modeling, data analytics, and automation. You'll contribute to innovation across logistics, scheduling, and resource allocation, helping shape scalable solutions for real-world challenges in global trade and supply chains.

Accountabilities:

• Develop and apply mathematical models (optimization, simulation, and statistical) to address real-world business challenges.
• Design and implement algorithms for logistics, scheduling, inventory management, and resource allocation tasks.
• Leverage tools such as Python, SQL, and optimization libraries (e.g., OR-Tools, Gurobi, PuLP) to build and test models.
• Analyze model outputs, extract insights, and create reports and visualizations tailored to various stakeholders.
• Collaborate with senior engineers and cross-functional teams on validation, deployment, and iterative improvements.
• Stay current with emerging methodologies in operations research, machine learning, and analytics.
• Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences.

Requirements

• Master's degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field.
• Strong understanding of optimization (linear, integer, nonlinear), simulation, graph theory, and statistical analysis.
• Solid programming skills in Python, Java, or C++ with practical experience in applying OR libraries (e.g., OR-Tools, Gurobi, CPLEX).
• Excellent analytical thinking and structured problem-solving abilities.
• Strong communication skills in English, both written and verbal.
• Comfortable working independently and collaboratively within multicultural, cross-functional teams.
• 1-2 years of hands-on experience applying OR techniques in industry or academic settings is preferred.
• Familiarity with data visualization tools (e.g., Tableau, Streamlit) and basic knowledge of machine learning are a plus.

Benefits

• Competitive compensation package
• Flexible working hours and a hybrid or remote work model
• Comprehensive healthcare coverage
• Generous paid time off and holiday allowance
• Annual learning & development stipend
• Collaborative and inclusive team culture with a global mindset
• Access to modern tools and a forward-thinking, impact-driven environment
• Opportunity to make a real impact in energy, commodities, and logistics markets

Jobgether Hiring Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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