214 Process Optimization jobs in the United Kingdom
Process Optimization Engineer
EC2N 2AN London, London
£60000 Annually
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Job Description
Our client is seeking a highly analytical and innovative Process Optimization Engineer to join their manufacturing division. This is a fully remote position, allowing you to contribute to improving production efficiency and quality from anywhere in the UK. You will be responsible for analyzing existing manufacturing processes, identifying bottlenecks, and implementing data-driven solutions to enhance productivity, reduce waste, and lower operational costs. The ideal candidate will have a strong background in industrial engineering, lean manufacturing principles, and statistical analysis, coupled with excellent problem-solving skills.
Key Responsibilities:
Qualifications:
This remote role offers a significant impact on the operational efficiency of a leading manufacturing company, providing a challenging and rewarding career path.
Key Responsibilities:
- Analyze manufacturing workflows and production data to identify areas for improvement.
- Develop and implement strategies for process optimization using methodologies like Lean, Six Sigma, and Kaizen.
- Design and test new manufacturing processes and equipment to improve efficiency and output.
- Conduct time and motion studies to optimize workflow and resource allocation.
- Utilize statistical process control (SPC) techniques to monitor and control production quality.
- Collaborate with production teams, engineers, and management to implement process changes.
- Develop and maintain process documentation, including standard operating procedures (SOPs).
- Train production staff on new processes and best practices.
- Monitor the effectiveness of implemented solutions and make necessary adjustments.
- Prepare reports and presentations on process improvements and their impact on key performance indicators.
- Stay abreast of new technologies and methodologies in manufacturing and process engineering.
Qualifications:
- Bachelor's degree in Industrial Engineering, Mechanical Engineering, Chemical Engineering, or a related field.
- Master's degree or relevant certifications (e.g., Lean Six Sigma Black Belt) are a plus.
- Minimum of 4 years of experience in process engineering, manufacturing, or operations.
- Proven experience in applying Lean manufacturing principles and continuous improvement methodologies.
- Strong analytical and problem-solving skills, with a data-driven approach.
- Proficiency in statistical analysis software (e.g., Minitab) and process simulation tools.
- Excellent understanding of manufacturing operations and equipment.
- Strong project management and communication skills.
- Ability to work independently and manage projects remotely.
- Experience with CAD software is advantageous.
This remote role offers a significant impact on the operational efficiency of a leading manufacturing company, providing a challenging and rewarding career path.
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0
Process Optimization Engineer
CB2 1TN Cambridge, Eastern
£55000 Annually
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Our client, a renowned innovation-driven company, is seeking a talented Process Optimization Engineer to join their sophisticated team in **Cambridge, Cambridgeshire, UK**. This role is integral to enhancing the efficiency, safety, and cost-effectiveness of our client's chemical processes. You will be responsible for analyzing existing manufacturing operations, identifying bottlenecks, and implementing innovative solutions through rigorous engineering principles. The ideal candidate will possess a strong background in chemical engineering with a passion for continuous improvement and process innovation. Your responsibilities will include designing and conducting experiments, analyzing process data, developing process simulation models, and collaborating with R&D and production teams to translate theoretical improvements into practical applications. You will apply principles of thermodynamics, fluid mechanics, reaction kinetics, and mass
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1
Process Optimization Engineer
NG1 3AA Nottingham, East Midlands
£45000 Annually
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Our client is seeking a highly skilled and analytical Process Optimization Engineer to join their dynamic team in **Nottingham, Nottinghamshire, UK**. This role offers a hybrid working model, blending essential on-site collaboration with remote flexibility. You will be responsible for identifying inefficiencies in manufacturing and production processes, developing data-driven solutions, and implementing improvements to enhance productivity, quality, and cost-effectiveness. Your expertise will be crucial in analyzing complex operational data, mapping existing workflows, and designing streamlined processes that adhere to industry best practices and regulatory standards.
The successful candidate will possess a strong foundation in industrial engineering principles, lean manufacturing methodologies, and Six Sigma techniques. You will conduct detailed process audits, root cause analyses, and performance benchmarking to pinpoint areas for enhancement. This involves collaborating closely with cross-functional teams, including production, quality assurance, and R&D, to gather insights and ensure the successful implementation of optimization strategies. Your role will also include developing and maintaining process documentation, standard operating procedures (SOPs), and training materials for operational staff.
We are looking for an individual with exceptional problem-solving skills, a keen eye for detail, and the ability to translate complex technical concepts into actionable improvements. Proficiency in process simulation software, statistical analysis tools, and project management is highly desirable. You should be comfortable working in a fast-paced environment and possess strong leadership potential to drive change initiatives. A commitment to continuous improvement and a proactive approach to identifying and addressing operational challenges are key attributes for this position.
Key Responsibilities:
The successful candidate will possess a strong foundation in industrial engineering principles, lean manufacturing methodologies, and Six Sigma techniques. You will conduct detailed process audits, root cause analyses, and performance benchmarking to pinpoint areas for enhancement. This involves collaborating closely with cross-functional teams, including production, quality assurance, and R&D, to gather insights and ensure the successful implementation of optimization strategies. Your role will also include developing and maintaining process documentation, standard operating procedures (SOPs), and training materials for operational staff.
We are looking for an individual with exceptional problem-solving skills, a keen eye for detail, and the ability to translate complex technical concepts into actionable improvements. Proficiency in process simulation software, statistical analysis tools, and project management is highly desirable. You should be comfortable working in a fast-paced environment and possess strong leadership potential to drive change initiatives. A commitment to continuous improvement and a proactive approach to identifying and addressing operational challenges are key attributes for this position.
Key Responsibilities:
- Analyze and evaluate existing production processes to identify areas for improvement.
- Develop and implement process optimization strategies using lean and Six Sigma methodologies.
- Design and test new process flows to enhance efficiency and reduce waste.
- Collaborate with manufacturing and engineering teams to implement process changes.
- Monitor process performance and implement corrective actions as needed.
- Develop and maintain process documentation, SOPs, and training materials.
- Conduct feasibility studies for new process technologies and equipment.
- Utilize statistical tools and software for data analysis and process control.
- Bachelor's degree in Industrial Engineering, Mechanical Engineering, or a related field.
- Minimum of 5 years of experience in process engineering or manufacturing operations.
- Proven experience with lean manufacturing, Six Sigma (Green Belt or Black Belt preferred), and continuous improvement methodologies.
- Strong analytical, problem-solving, and critical thinking skills.
- Proficiency in process simulation software (e.g., Arena, Simio) and statistical analysis tools (e.g., Minitab).
- Excellent communication and interpersonal skills, with the ability to influence stakeholders at all levels.
- Experience in project management and leading cross-functional teams.
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2
Process Optimization Engineer
CV1 2GN Coventry, West Midlands
£50000 Annually
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Our client, a leading industrial manufacturing company, is seeking a proactive Process Optimization Engineer to join their team in Coventry, West Midlands, UK . This role is focused on enhancing the efficiency, quality, and cost-effectiveness of our production processes. You will be instrumental in identifying and implementing improvements across various manufacturing stages, contributing directly to operational excellence and business success.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Analyze existing industrial processes to identify areas for improvement in terms of speed, quality, cost, and safety.
- Develop and implement process optimization strategies using methodologies such as Lean Manufacturing, Six Sigma, and Total Quality Management (TQM).
- Design and conduct experiments to test and validate process improvements.
- Utilize data analysis tools and statistical methods to monitor process performance and identify trends.
- Collaborate with production, engineering, and quality teams to implement changes and ensure smooth integration.
- Develop and update Standard Operating Procedures (SOPs) and process documentation.
- Train operational staff on new processes and best practices.
- Troubleshoot process issues and implement effective corrective actions.
- Evaluate new technologies and equipment for potential process enhancements.
- Contribute to capital expenditure requests for process improvement projects.
- Measure and report on the impact of implemented process changes.
- Ensure compliance with all relevant health, safety, and environmental regulations.
Qualifications:
- Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or a related field.
- Minimum of 4 years of experience in process engineering, optimisation, or continuous improvement within an industrial manufacturing setting.
- Proven experience with Lean Manufacturing and/or Six Sigma methodologies (Green Belt or Black Belt certification is a plus).
- Proficiency in data analysis, statistical process control (SPC), and relevant software (e.g., Minitab, Excel).
- Strong understanding of manufacturing operations and quality systems.
- Excellent analytical and problem-solving skills.
- Good communication, teamwork, and interpersonal abilities.
- Ability to work effectively on the shop floor and collaborate with diverse teams.
- Project management skills are beneficial.
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3
Process Optimization Engineer
OX1 1AA Oxford, South East
£55000 Annually
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Posted 2 days ago
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Our client is seeking a talented Process Optimization Engineer to join their team. This is a fully remote position, perfect for individuals who excel in analyzing and improving industrial processes from anywhere in the UK.
The Process Optimization Engineer will be responsible for identifying inefficiencies in manufacturing and operational processes and implementing solutions to enhance productivity, reduce costs, and improve quality. You will use data analysis, statistical methods, and process mapping tools to understand current operations and design improvements.
Key responsibilities include conducting detailed process analyses, developing and testing new process designs, and implementing process changes. You will collaborate with cross-functional teams, including production, engineering, and quality assurance, to ensure successful integration of optimized processes. This role requires a strong understanding of industrial engineering principles and a data-driven approach to problem-solving.
Key Responsibilities:
The Process Optimization Engineer will be responsible for identifying inefficiencies in manufacturing and operational processes and implementing solutions to enhance productivity, reduce costs, and improve quality. You will use data analysis, statistical methods, and process mapping tools to understand current operations and design improvements.
Key responsibilities include conducting detailed process analyses, developing and testing new process designs, and implementing process changes. You will collaborate with cross-functional teams, including production, engineering, and quality assurance, to ensure successful integration of optimized processes. This role requires a strong understanding of industrial engineering principles and a data-driven approach to problem-solving.
Key Responsibilities:
- Analyze existing industrial processes to identify areas for improvement.
- Develop and implement strategies to optimize operational efficiency and reduce waste.
- Utilize statistical analysis and process simulation tools.
- Design and implement new processes or modifications to existing ones.
- Collaborate with production, engineering, and quality teams to ensure successful implementation.
- Develop Standard Operating Procedures (SOPs) for optimized processes.
- Monitor and evaluate the effectiveness of implemented changes.
- Troubleshoot process-related issues and provide solutions.
- Train staff on new or improved processes.
- Contribute to a culture of continuous improvement.
- Bachelor's degree in Industrial Engineering, Mechanical Engineering, or a related field.
- Minimum of 4 years of experience in process improvement or industrial engineering.
- Strong knowledge of Lean Manufacturing, Six Sigma, or similar methodologies.
- Proficiency in process mapping, data analysis, and statistical software (e.g., Minitab).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and manage projects remotely.
- Experience with project management is a plus.
- Familiarity with manufacturing execution systems (MES) is advantageous.
- Detail-oriented with a focus on data accuracy.
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4
Process Optimization Engineer
ST4 7LT Staffordshire, West Midlands
£40000 Annually
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Posted 10 days ago
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Our client, a leading manufacturing company in **Stoke-on-Trent, Staffordshire**, is seeking an experienced Process Optimization Engineer to enhance the efficiency and productivity of their industrial operations. This role is critical in identifying bottlenecks, implementing process improvements, and driving cost reduction initiatives. You will be responsible for analyzing existing manufacturing processes, designing and implementing new workflows, and ensuring the adoption of best practices in lean manufacturing and Six Sigma methodologies. The ideal candidate will have a strong background in industrial engineering or a related field, with proven experience in process improvement and project management within a manufacturing environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Analyze current manufacturing processes to identify areas for improvement, waste reduction, and efficiency gains.
- Develop and implement strategic plans for process optimization using lean manufacturing and Six Sigma principles.
- Design and test new workflows and production methodologies.
- Manage improvement projects from conception to completion, ensuring on-time and within-budget delivery.
- Develop and maintain standard operating procedures (SOPs) and process documentation.
- Collaborate with production, quality control, and maintenance teams to implement and sustain process changes.
- Utilize data analysis tools and statistical methods to monitor process performance and identify trends.
- Train and mentor production staff on new processes and best practices.
- Ensure compliance with health, safety, and environmental regulations.
- Contribute to the overall strategic goals of the manufacturing operations in **Stoke-on-Trent, Staffordshire**.
Qualifications:
- Bachelor's degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field.
- Minimum of 3 years of experience in process engineering, continuous improvement, or manufacturing operations.
- Certified Lean Six Sigma Green Belt or Black Belt is highly desirable.
- Proficiency in process mapping tools, statistical analysis software, and project management tools.
- Strong understanding of manufacturing principles and technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and leadership abilities, with experience in cross-functional team collaboration.
- Experience within the manufacturing sector in the **Stoke-on-Trent, Staffordshire** area is preferred.
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5
Senior Process Optimization Engineer
M1 1AA Manchester, North West
£60000 Annually
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Our client is seeking a highly skilled and motivated Senior Process Optimization Engineer to join their dynamic virtual team. This is a fully remote, permanent position offering the flexibility to work from anywhere within the UK. As a Senior Process Optimization Engineer, you will be instrumental in analysing, redesigning, and implementing innovative solutions to enhance operational efficiency across various industrial processes. You will collaborate closely with cross-functional teams, including production, quality assurance, and supply chain, to identify bottlenecks, streamline workflows, and reduce waste. Your expertise in lean manufacturing principles, Six Sigma methodologies, and statistical process control will be critical in driving continuous improvement initiatives. Key responsibilities include developing process maps, conducting time studies, implementing data-driven recommendations, and monitoring the performance of implemented changes.
The ideal candidate will possess a Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, or a related field, coupled with at least 5 years of experience in process improvement, operations management, or a similar role. Proficiency in simulation software, statistical analysis tools (e.g., Minitab, R), and project management methodologies is essential. Excellent communication and interpersonal skills are required to effectively present findings and collaborate with stakeholders at all levels. You should be adept at problem-solving, possess strong analytical abilities, and have a proven track record of delivering measurable results. Experience with digital transformation initiatives and automation technologies is highly desirable. This role provides an excellent opportunity to contribute to significant operational advancements while enjoying the benefits of a remote-first work environment. Our client values innovation, collaboration, and a commitment to excellence.
The ideal candidate will possess a Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, or a related field, coupled with at least 5 years of experience in process improvement, operations management, or a similar role. Proficiency in simulation software, statistical analysis tools (e.g., Minitab, R), and project management methodologies is essential. Excellent communication and interpersonal skills are required to effectively present findings and collaborate with stakeholders at all levels. You should be adept at problem-solving, possess strong analytical abilities, and have a proven track record of delivering measurable results. Experience with digital transformation initiatives and automation technologies is highly desirable. This role provides an excellent opportunity to contribute to significant operational advancements while enjoying the benefits of a remote-first work environment. Our client values innovation, collaboration, and a commitment to excellence.
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Senior Process Optimization Engineer
SW1A 0AA London, London
£55000 Annually
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Our client, a leading industrial innovator based in the heart of London, England, UK , is seeking an experienced and highly motivated Senior Process Optimization Engineer to join their dynamic team. This role is crucial in driving efficiency and continuous improvement across our client's diverse manufacturing and operational processes. You will be responsible for analyzing existing workflows, identifying bottlenecks, and implementing data-driven solutions to enhance productivity, reduce waste, and improve overall operational performance.
Key responsibilities include:
Key responsibilities include:
- Conducting comprehensive studies of current industrial processes using lean manufacturing, Six Sigma, and other relevant methodologies.
- Developing and implementing innovative solutions to streamline operations, reduce cycle times, and improve quality.
- Designing and conducting experiments to validate process improvements and measure their impact.
- Creating detailed process flow diagrams, standard operating procedures (SOPs), and training materials.
- Collaborating with cross-functional teams, including operations, R&D, and quality assurance, to ensure successful implementation of process changes.
- Utilizing statistical analysis and simulation software to model and predict process outcomes.
- Monitoring and evaluating the effectiveness of implemented changes, making adjustments as needed.
- Mentoring junior engineers and sharing best practices in process improvement.
- Staying abreast of the latest advancements in industrial engineering and automation technologies.
- Ensuring all process changes comply with industry standards and regulatory requirements.
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7
Senior Process Optimization Engineer
BD1 1AB Bradford, Yorkshire and the Humber
£50000 Annually
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Our client is seeking an experienced Senior Process Optimization Engineer to join their dynamic team in **Bradford, West Yorkshire, UK**. This role is pivotal in driving continuous improvement across our industrial operations. You will be instrumental in analyzing existing manufacturing and production workflows, identifying inefficiencies, and implementing data-driven solutions to enhance productivity, reduce waste, and improve overall quality. The ideal candidate will possess a deep understanding of Lean Manufacturing principles, Six Sigma methodologies, and statistical process control (SPC). You will work closely with cross-functional teams, including production, quality assurance, and engineering, to develop and implement process improvements. Responsibilities include:
The successful candidate will have a Bachelor's degree in Industrial Engineering, Mechanical Engineering, Chemical Engineering, or a related field, coupled with significant hands-on experience in process improvement within a manufacturing environment. A Green Belt or Black Belt certification in Lean Six Sigma is highly preferred. Strong analytical, problem-solving, and communication skills are essential. You should be adept at using various data analysis tools and software. This hybrid role requires a commitment to on-site collaboration as needed, alongside the flexibility to work remotely, balancing team synergy with individual focused work. Our client is committed to fostering a culture of innovation and continuous learning, providing ample opportunities for professional growth and development. This position offers a unique opportunity to make a significant impact on the operational excellence of our manufacturing facilities. You will be at the forefront of implementing best practices and driving operational excellence, contributing directly to our company's success and competitive edge in the market. Our client values individuals who are proactive, results-oriented, and possess a strong commitment to quality and efficiency.
- Conducting comprehensive analyses of current manufacturing processes, identifying areas for optimization and cost reduction.
- Developing and implementing strategies to improve efficiency, throughput, and yield using Lean and Six Sigma tools.
- Designing and executing experiments (DOE) to validate process changes and improvements.
- Implementing and monitoring Statistical Process Control (SPC) techniques to ensure consistent product quality.
- Leading cross-functional teams in problem-solving initiatives and Kaizen events.
- Developing Standard Operating Procedures (SOPs) and training materials for new and improved processes.
- Analyzing production data to identify trends, root causes of defects, and opportunities for improvement.
- Collaborating with the engineering department on the design and implementation of new equipment and technologies.
- Tracking and reporting on key performance indicators (KPIs) related to process efficiency and quality.
- Mentoring junior engineers and technicians on process improvement methodologies.
- Evaluating and recommending new technologies and software to enhance process control and data analysis.
- Ensuring that all process improvements align with safety and environmental regulations.
The successful candidate will have a Bachelor's degree in Industrial Engineering, Mechanical Engineering, Chemical Engineering, or a related field, coupled with significant hands-on experience in process improvement within a manufacturing environment. A Green Belt or Black Belt certification in Lean Six Sigma is highly preferred. Strong analytical, problem-solving, and communication skills are essential. You should be adept at using various data analysis tools and software. This hybrid role requires a commitment to on-site collaboration as needed, alongside the flexibility to work remotely, balancing team synergy with individual focused work. Our client is committed to fostering a culture of innovation and continuous learning, providing ample opportunities for professional growth and development. This position offers a unique opportunity to make a significant impact on the operational excellence of our manufacturing facilities. You will be at the forefront of implementing best practices and driving operational excellence, contributing directly to our company's success and competitive edge in the market. Our client values individuals who are proactive, results-oriented, and possess a strong commitment to quality and efficiency.
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8
Lead Process Optimization Engineer
CF10 1AB Cardiff, Wales
£65000 Annually
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Our client is looking for a highly skilled Lead Process Optimization Engineer to drive efficiency and innovation within their industrial operations. Based in **Cardiff, Wales, UK**, this role requires a blend of on-site analysis and remote strategic planning. You will be responsible for analyzing existing industrial processes, identifying bottlenecks, and implementing solutions to improve throughput, reduce waste, and enhance overall productivity. This involves utilizing advanced data analytics, simulation software, and lean manufacturing principles. You will lead a team of engineers, mentoring junior staff and fostering a culture of continuous improvement. Key responsibilities include designing and implementing new process flows, developing and maintaining process documentation, and conducting feasibility studies for new technologies. The ideal candidate will have a strong background in industrial engineering, mechanical engineering, or a related field, with a proven track record of successfully optimizing complex manufacturing or production systems. Excellent project management skills and the ability to manage multiple projects simultaneously are essential. You should be adept at using CAD software, simulation tools, and statistical analysis packages. Strong leadership qualities, excellent communication skills, and the ability to collaborate effectively with cross-functional teams are crucial. This role offers a competitive salary, comprehensive benefits, and the opportunity to make a significant impact on our client's operational success. You will work closely with production, quality assurance, and R&D departments to ensure seamless integration of optimized processes. The ability to interpret technical drawings and specifications is a must. We are seeking individuals who are passionate about engineering excellence and driving operational improvements. Your expertise will be instrumental in maintaining our client's competitive edge in the industry through superior process design and execution. The hybrid nature of this role allows for flexibility while ensuring critical on-site engagement.
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