527 Supply Chain Optimization jobs in the United Kingdom

Our client is seeking a meticulous and analytical Supply Chain Optimization Specialist to join their growing team. This is a fully remote role, allowing you to contribute to our logistics and warehousing operations from any location within the UK. You will play a crucial role in identifying inefficiencies within the supply chain and implementing strategies to enhance productivity, reduce costs, and improve overall performance. Your responsibilities will include analyzing current logistics processes, mapping supply chain flows, and identifying bottlenecks. You will develop and implement optimization projects focused on inventory management, transportation, warehousing, and order fulfillment. This role requires strong data analysis skills to track key performance indicators (KPIs), generate reports, and provide actionable insights to stakeholders. You will collaborate with internal teams and external partners to ensure smooth execution of supply chain strategies and identify areas for continuous improvement. The ideal candidate will have a strong understanding of logistics principles, advanced analytical capabilities, and experience with supply chain management software. Excellent communication skills are essential to effectively present findings and recommendations. If you are passionate about driving efficiency and innovation in logistics, this is the perfect opportunity for you.

Responsibilities:

• Analyze existing supply chain processes to identify areas for improvement and cost reduction.
• Develop and implement strategies to optimize inventory levels, warehousing operations, and transportation networks.
• Monitor and report on key supply chain performance indicators (KPIs).
• Collaborate with cross-functional teams, including procurement, operations, and sales, to ensure supply chain alignment.
• Utilize data analytics tools to forecast demand, manage stock, and improve delivery times.
• Identify and implement best practices in logistics and warehousing.
• Manage relationships with third-party logistics providers (3PLs) and carriers.
• Develop project plans for supply chain initiatives and track progress towards goals.
• Ensure compliance with industry regulations and safety standards within the supply chain.
• Drive continuous improvement initiatives to enhance overall supply chain efficiency and reliability.

Qualifications:

• Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
• Proven experience in supply chain analysis, logistics, or operations management.
• Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL, Power BI).
• Familiarity with supply chain management software and ERP systems.
• Excellent communication and presentation skills, with the ability to influence stakeholders.
• Ability to work independently and manage multiple projects in a remote setting.
• Knowledge of lean principles and process improvement methodologies.

Our client is looking for a strategic and analytical Supply Chain Optimization Manager to drive significant improvements across their logistics and warehousing operations. This position is based in Leicester, Leicestershire, UK , but offers a fully remote working arrangement for the right candidate. The ideal individual will possess a strong understanding of supply chain principles, inventory management, network design, and the implementation of technology solutions to enhance efficiency and reduce costs.

Key Responsibilities:

• Analyze and map existing supply chain processes to identify bottlenecks and areas for improvement.
• Develop and implement strategies to optimize inventory levels, reduce lead times, and improve order fulfillment accuracy.
• Design and evaluate the efficiency of warehouse layouts and operations.
• Utilize data analytics and performance metrics to monitor supply chain health and identify trends.
• Collaborate with internal departments (procurement, sales, operations) and external partners (suppliers, carriers) to ensure seamless supply chain integration.
• Lead projects focused on implementing new supply chain technologies, such as Warehouse Management Systems (WMS) or Transportation Management Systems (TMS).
• Develop and manage key performance indicators (KPIs) for supply chain operations.
• Conduct cost-benefit analyses for proposed supply chain changes and investments.
• Stay informed about industry best practices and emerging trends in supply chain management and logistics.
• Manage relationships with third-party logistics providers (3PLs) and ensure service level agreements (SLAs) are met.

Qualifications:

• Bachelor's degree in Supply Chain Management, Logistics, Business Administration, Engineering, or a related field. Master's degree preferred.
• Minimum of 6 years of progressive experience in supply chain management, logistics, or operations.
• Proven track record of successfully implementing supply chain optimization initiatives that resulted in cost savings and efficiency gains.
• Strong analytical skills with expertise in data analysis tools (e.g., Excel, SQL, Power BI) and supply chain modeling software.
• Experience with WMS and TMS implementation and management.
• Excellent understanding of inventory management techniques, forecasting, and demand planning.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Exceptional communication, negotiation, and interpersonal skills.
• Ability to work independently and effectively in a remote environment.

This role offers the unique opportunity to shape the future of our client's supply chain from a remote-first perspective, with competitive compensation and benefits. The operational hub for this role is associated with Leicester, Leicestershire, UK .

Description
Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year.
The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network.
The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance.
We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment.
As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows.
This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs.
Key job responsibilities
- Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings
- Design and engineer algorithms using Cloud-based state-of-the art software development techniques
- Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones
- Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate
- Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap
- Lead complex analysis and clearly communicate results and recommendations to leadership
- Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry
Basic Qualifications
- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in developing OR algorithms for non-convex and non-linear optimization problems
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year.
The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network.
The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance.
We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment.
As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows.
This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs.
Key job responsibilities
- Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings
- Design and engineer algorithms using Cloud-based state-of-the art software development techniques
- Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones
- Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate
- Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap
- Lead complex analysis and clearly communicate results and recommendations to leadership
- Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry
Basic Qualifications
- PhD, or a Master's degree and experience applying theoretical models in an applied environment
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- 3+ years experience in commercial OR tools (e.g. CPLEX, Gurobi, XPRESS)
- 3+ years experience in developing OR algorithm for non-convex and non-linear optimization problems
- 2+ years experience with Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting
- Sharp analytical abilities, excellent written and verbal communication skills
- Ability to handle ambiguity and fast-paced environment
Preferred Qualifications
- Experience in professional software development
- Reinforcement Learning
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
- Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our client, a key player in the manufacturing sector, is looking for a detail-oriented and proactive Purchasing Officer to support their procurement operations in **Stoke-on-Trent, Staffordshire, UK**. This role is essential for ensuring the timely and cost-effective acquisition of raw materials, components, and services needed for production. The ideal candidate will have experience in purchasing, strong organizational skills, and the ability to manage multiple tasks efficiently. You will work closely with suppliers and internal departments to streamline the purchasing process, maintain inventory levels, and contribute to supply chain efficiency. This is an excellent opportunity to develop your career in procurement within a well-established company.

Key Responsibilities:

• Process purchase requisitions and generate purchase orders in a timely manner.
• Source and evaluate potential suppliers based on price, quality, delivery, and reliability.
• Negotiate terms and prices with suppliers to achieve cost savings.
• Maintain accurate purchasing records and supplier databases.
• Monitor supplier performance and address any issues related to delivery or quality.
• Collaborate with inventory management to ensure adequate stock levels of materials and components.
• Assist in the preparation of tenders and quotation requests.
• Ensure compliance with company purchasing policies and procedures.
• Resolve invoice discrepancies and payment issues with suppliers and accounts payable.
• Support the implementation of new procurement systems and processes.

Qualifications and Skills:

• Bachelor's degree in Business, Supply Chain Management, or a related field, or equivalent experience.
• Previous experience in a purchasing or procurement role (1-3 years).
• Familiarity with procurement processes and terminology.
• Good negotiation and communication skills.
• Proficiency in Microsoft Office Suite, particularly Excel.
• Experience with ERP or purchasing software is an advantage.
• Strong organizational skills and attention to detail.
• Ability to manage time effectively and prioritize tasks.
• A team player with a willingness to learn and contribute.

This role offers a competitive salary and benefits, along with the chance to grow within a stable and reputable organization. If you are keen to build a career in procurement and contribute to supply chain success, apply now.

Description
Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year.
The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network.
The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance.
We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment.
As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows.
This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs.
Key job responsibilities
- Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings
- Design and engineer algorithms using Cloud-based state-of-the art software development techniques
- Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones
- Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate
- Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap
- Lead complex analysis and clearly communicate results and recommendations to leadership
- Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry
Basic Qualifications
- Master's degree
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

We are seeking a strategic and results-driven Senior Logistics Manager to lead our transportation and warehousing operations. This role, based in **Manchester, Greater Manchester, UK**, offers a hybrid working arrangement. You will be responsible for optimizing our entire logistics network, ensuring efficient and cost-effective movement of goods. Your expertise in supply chain management, route planning, fleet management, and inventory control will be crucial in enhancing our operational performance and customer satisfaction. You will manage a team of logistics professionals and work closely with various departments to streamline processes.
Key Responsibilities:

• Develop and implement strategies to optimize logistics operations, including transportation, warehousing, and inventory management.
• Manage the company's fleet, ensuring compliance with safety and environmental regulations.
• Plan and execute efficient shipping routes and delivery schedules.
• Negotiate contracts with transportation providers and third-party logistics (3PL) partners.
• Oversee warehouse operations, including receiving, storing, and dispatching goods.
• Implement and manage inventory control systems to maintain optimal stock levels.
• Monitor key performance indicators (KPIs) and identify areas for improvement.
• Ensure compliance with all relevant transport and customs regulations.
• Manage the logistics budget and identify cost-saving opportunities.
• Lead, mentor, and develop the logistics team.
• Collaborate with sales, procurement, and operations teams to ensure seamless supply chain integration.

Qualifications:

• Bachelor's degree in Logistics, Supply Chain Management, Business Administration, or a related field.
• Minimum of 5-7 years of experience in logistics and supply chain management.
• Proven experience in managing transportation, warehousing, and inventory.
• Strong understanding of supply chain principles and best practices.
• Excellent negotiation, analytical, and problem-solving skills.
• Proficiency in logistics software and ERP systems.
• Demonstrated leadership and team management abilities.
• Knowledge of UK and international transport regulations.
• Excellent communication and interpersonal skills.

Take charge of our logistics and drive efficiency in a key role for our **Manchester, Greater Manchester, UK** operations.

We're Hiring: Procurement & Supply Chain Manager

Location: Mansfield, NG19

Salary: £40,000 – £5,000 DOE plus Bonus

Company: Kingfisher Lighting Ltd

Kingfisher Lighting Ltd is a UK-based leader in innovative, energy-efficient lighting solutions. We design, manufacture, and supply high-quality lighting products for commercial and residential sectors, with a strong focus on sustainability and cutting-edge technology.

We’re looking for an experienced and dynamic Procurement & Supply Chain Manager to join our team and lead the full purchasing and supply chain function. Reporting directly to the Managing Director, this is a fantastic opportunity to make a real impact in a forward-thinking company.

Key Responsibilities

Procurement & Supplier Management

• Lead procurement activities and negotiate supplier contracts
• Develop SOPs for procurement and supply chain processes
• Ensure supply security at competitive costs
• Build strong supplier relationships to achieve >95% OTIF
• Drive profitability through cost-saving initiatives

Supply Chain Operations

• Manage supply chain activities aligned with business goals
• Improve forecasting and demand planning
• Collaborate with Sales to align purchasing with forecasts
• Support third-party manufacturers in China and Italy
• Coordinate logistics for international shipments

Strategic & Compliance

• Lead new product introductions with R&D and Quality teams
• Ensure compliance with electrical component regulations
• Implement cost-saving strategies while maintaining quality

Experience & Qualifications

• 5+ years in supply chain management (lighting/electrical preferred)
• Proven international supply chain management experience
• Strong negotiation and strategic contract skills
• ERP system implementation experience
• In-depth compliance knowledge
• Leadership and cross-functional collaboration skills

Education: Degree preferred, MCIPS qualification desirable

Skills: Organised, numerate, commercially astute, strategic thinker

Driving Licence: Full, clean UK licence required

Salary & Benefits

• £4 000 – £4 000 DOE
• Bonus Scheme (up to 15%)
• Share Incentive Plan (SIP)
• Pension Plan
• Holiday Buying Scheme
• 25 Days Holiday + Public Holidays
• Financial Planning Services
• Health & Wellbeing Programme
• Life Insurance

Why Join Us?

At Kingfisher Lighting Ltd, we value innovation, sustainability, and quality. Join a team that supports professional development and offers the chance to shape our operations and growth.

Job Type: Full-time

Schedule: Monday to Friday

Work Location: In-person, Mansfield NG19

Position Overview

A global leader in pharmaceuticals is seeking a Head of Supply Chain Management to lead local supply chain functions and drive operational performance. This role oversees distribution, logistics, forecasting, and service delivery—ensuring efficiency, cost control, and high customer satisfaction in line with global and local strategy.

Key Responsibilities

• Lead, develop, and support the operations team; manage recruitment, training, and succession planning.
• Oversee logistics, warehousing, and local manufacturing to meet service levels and optimise costs.
• Manage relationships with 3PL partners and key retail customers; conduct regular performance reviews.
• Ensure accurate forecasting and optimal stock levels through regular analysis and planning.
• Collaborate with central planning and order-to-delivery teams to streamline operations.
• Define and monitor KPIs; lead improvement initiatives and cross-functional projects.
• Deploy global standards locally and run monthly S&OP meetings.
• Conduct annual customer surveys and drive follow-up actions.

Requirements

• Master’s degree in Supply Chain, Business, or Engineering with logistics training.
• Proven experience across supply chain functions (demand planning, logistics, distribution).
• Strong leadership, communication, and stakeholder management skills.
• Analytical, structured, and proactive approach to problem-solving.
• Proficient in Excel and ERP systems; comfortable with data and KPIs.