508 Supply Chain Optimization jobs in the United Kingdom
Applied Scientist, Supply Chain Optimization
Posted 10 days ago
Job Viewed
Job 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.
Applied Scientist, Supply Chain Optimization
Posted 10 days ago
Job Viewed
Job 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.
Sr. Applied Scientist, Supply Chain Optimization
Posted 10 days ago
Job Viewed
Job 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.
Supply Chain Management
Posted 8 days ago
Job Viewed
Job Description
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
Head of Supply Chain Management
Posted 1 day ago
Job Viewed
Job Description
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.
Head of Supply Chain Management
Posted 1 day ago
Job Viewed
Job Description
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.
Head of Supply Chain Management
Posted 8 days ago
Job Viewed
Job Description
The Head of Supply Chain will be responsible for the effective development, operation and management of subcontractor and procurement processes, including direct engagement with suppliers working closely with the Commercial Managers and Production Operations teams.
Role: Head of Supply chain
Location: Bristol
Industry: Aerospace/Defence
Salary: £80,000 - £90,000 + Bonus, Car allowance
Reporting to: Operations Director
Direct Reports: Supply Chain Managers with potential growth to include operational staff
Security Clearance: SC (Held, or clearable)
Role
Responsibilities include:
- Contribution to development of and implementation of Supply Chain Strategy
- Functional management of supply chain team
- Development of policies and refinement of processes for:
- Supplier assessment and approvals
- Supplier selection eg tenders, price lists, frameworks
- Supplier management – quality, performance monitoring, expediting, problem resolution
- Subcontracting
- Procurement planning
- Optimisation of goods inwards/inspection, stock control and planning
- Continuous improvement.
- Create environment for collaboration with other departments, such as programmes, engineering and quality.
- Negotiate prices and terms with key suppliers.
- Supplier relationship management.
- Planning and forecasting, market awareness.
- Identification and qualification of key or critical suppliers, second sources, strategic partners and monitoring of supplier risk including financial robustness.
- Support to bids and partnering strategies and product development to assess and provide cost effective supply chain solutions.
- Implement and monitor systems to provide traceability and parts tracking.
- Monitoring of long lead items.
- Obsolescence monitoring and reporting.
- Management of protectively marked and export-controlled material.
- Management of cryptographic devices.
- Ownership of management processes for customer furnished items of data, equipment and tools.
- Strategy for applying environmental regulations such as REACH, COSHH, WEEE and safety including storage and handling.
- Social value, net zero and ethical trade practices (modern slavery, conflict minerals, embargoed material/countries)
- Rejection of items and disposals/repairs in line with security guidance and environmental requirements.
- Management of customer returns.
- Reporting and record keeping in line with contractual obligations and standards compliance.
- Shipping and logistics planning.
- Use of Incoterms.
- Customs procedures.
With the establishment of new factory facilities, this role will include support to production planning, establishment of a repair and maintenance supply chain and supplier warranty management for our systems integration business.
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Oracle Supply Chain Management (SCM) Consultant
Posted 1 day ago
Job Viewed
Job Description
Oracle SCM Functional Consultant
Salary: 70,000 - 73,000 Base Salary Plus Benefits / Perks / Healthcare Options
Client: Global IT Consultancy
Location: UK Wide Offices - Hybrid Role
Are you ready to help shape the future of Oracle delivery across a diverse portfolio of clients?
We're looking for an experienced Oracle SCM Functional Consultant to join a fast-growing Oracle SaaS team and play a key role in delivering cutting-edge solutions that drive tangible benefits.
The Role:
As an Oracle SCM Functional Consultant, your core focus will be Oracle Supply Chain Management - though experience with Financials or HCM is also a plus. You'll work closely with stakeholders and SMEs to guide solution design, optimise processes, and lead end-to-end implementation activities.
You'll be involved in:
- Leading client workshops and process design discussions
- Configuration, testing, training, and data migration
- Supporting go-live, hyper-care and handover to support teams
- Occasionally assisting in pre-sales with solution design, fit-gap analysis, and demos
What You'll Bring:
- Strong hands-on experience delivering Oracle Supply Chain Management solutions (Cloud preferred)
- Proven expertise in functional configuration, stakeholder engagement, and Oracle SaaS implementation cycles
- Ability to communicate complex solutions clearly and confidently to a variety of audiences
- Additional understanding of Oracle Financials or HCM is advantageous
Shape your future. Build smarter supply chains. Make a real-world difference!
Oracle Supply Chain Management (SCM) Consultant
Posted 4 days ago
Job Viewed
Job Description
Oracle SCM Functional Consultant
Salary: 70,000 - 73,000 Base Salary Plus Benefits / Perks / Healthcare Options
Client: Global IT Consultancy
Location: UK Wide Offices - Hybrid Role
Are you ready to help shape the future of Oracle delivery across a diverse portfolio of clients?
We're looking for an experienced Oracle SCM Functional Consultant to join a fast-growing Oracle SaaS team and play a key role in delivering cutting-edge solutions that drive tangible benefits.
The Role:
As an Oracle SCM Functional Consultant, your core focus will be Oracle Supply Chain Management - though experience with Financials or HCM is also a plus. You'll work closely with stakeholders and SMEs to guide solution design, optimise processes, and lead end-to-end implementation activities.
You'll be involved in:
- Leading client workshops and process design discussions
- Configuration, testing, training, and data migration
- Supporting go-live, hyper-care and handover to support teams
- Occasionally assisting in pre-sales with solution design, fit-gap analysis, and demos
What You'll Bring:
- Strong hands-on experience delivering Oracle Supply Chain Management solutions (Cloud preferred)
- Proven expertise in functional configuration, stakeholder engagement, and Oracle SaaS implementation cycles
- Ability to communicate complex solutions clearly and confidently to a variety of audiences
- Additional understanding of Oracle Financials or HCM is advantageous
Shape your future. Build smarter supply chains. Make a real-world difference!
Software Engineer, Uncertainty Quantification in Supply Chain Management (GB)
Posted 548 days ago
Job Viewed
Job Description
Signaloid is the leading computing platform to quantify, transmit, and track data uncertainty dynamically and throughout computations in unmodified computing workloads. Our technologies are used in applications including materials modeling, autonomous systems, computational finance, machine learning, and quantum computing. Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARC, ARM, Bell Labs, CMU, University of Cambridge, EPFL, IBM Research, Intel, Max Planck, MIT, and NEC Labs. Find out more at and try out the Signaloid uncertainty-tracking computing platform by signing up for free at .
In this role, you will:
- Be responsible for leading the implementation of applications for Uncertainty Quantification in Supply Chain Management, in collaboration with other members of the engineering team.
- Be responsible for identifying appropriate algorithms that solve the problem at hand and creating the implementation of those algorithms in C or C++, for execution on Signaloid's compute engine.
- Be responsible for designing and implementing a testing and validation strategy for the Uncertainty Quantification in Supply Chain Management applications you implement.
After a year in this role, based on your demonstrated performance, you will have the opportunity to:
- Expand your role to other priority application domains of Signaloid's compute engine's use cases.
- See the applications you developed deployed with paying customers of Signaloid's compute engine.
- Use your experience from application development to influence the teams improving the architecture and performance of Signaloid's compute engine.
- Expand your role if desired, to include more customer-facing engagement with Signaloid's international partners.
Requirements
- Masters degree (or higher) in computer engineering, computer science, or a related discipline.
- At least three years experience with C.
- Experience developing applications starting from a fundamental description of an algorithm (e.g., from a research article or from an international standard or specification).
- Experience analyzing the computational complexity of the algorithms underlying a software implementation.
- Experience improving the performance of applications based on both algorithmic and implementation optimizations.
- In-depth understanding of version control tools in general and Git in particular.
- A willingness to listen to people until they feel understood.
- Honesty, empathy, and a willingness to see the world from the viewpoint of others.
- Additional Desirable Skills and Experience:
- Good working understanding of digital arithmetic and numerical methods.
- Good working understanding of GitHub's project management tools.
- Previous experience with continuous integration.
- Our Recruiting Procedure
- All positions require you to write a letter (you can also substitute the cover letter for a snippet of code that will run on the signaloid.io platform; be creative!) . We use the cover letter / code snippet to screen for communication skills, as clear communication is essential in a remote working environment.
- Applicants who pass the cover letter screening receive an initial 15-minute Zoom screening call with a member of our People Development Team to discuss your CV.
- Applicants who pass the screening interview will be asked to implement and point us to a public implementation on GitHub, for a problem we suggest and which the applicant implements themselves. To keep the interview timeline compact, we suggest applicants provide the pointer to the public GitHub repository within two weeks, but we expect the applicants to spend no more than a few hours on the coding project. As a token of our appreciation for your time however, we send you two popular books: Build and Remote .
- Applicants who successfully complete the project are invited for a short interview session with people from our core teams. In this session, you will speak with up to four technical team members who will use the project you completed as one of the discussion points.
- In the final stage, applicants are invited for an on-site interview with members of the team in Cambridge, or a "virtual onsite" interview where a team from Signaloid will be at your disposal to implement a solution to a representative challenge you could face in the role.
Benefits
A flexible remote-first work environment
- Be part of an international team with the flexibility to choose where you live, as long as you are available to be online and available during the hours 09:00 to 17:00 UK.
- Regularly join the rest of the team for in-person sessions somewhere in Europe (travel and lodging expenses covered by Signaloid).
Competitive compensation
- Yearly bonus based on company's Objectives and Key Results (OKR) performance and bi-yearly bonus based on your project team's OKR performance.
- Simple transparent compensation across the company.
- All full-time employees receive attractive stock options package.
A driven but respectful environment
- We never speak ill of others even if we differ in our viewpoints; we show up every day with a sense of urgency; we treat each other with respect as though each day were our last.
- No isolated "projects": No person in the team works in isolation and a successful outcome for the thread of work you lead will inherently depend on getting help from (and helping) other members of the team.