McLaren Group is globally renowned as one of the world’s most illustrious high-technology brands. Since the formation of McLaren Racing in 1963, McLaren has been pioneering and innovating in the competitive world of Formula 1, forging a formidable reputation which has seen the racing team win 20 World Championships and over 180 races.

McLaren Woking, UK
22/04/2019
Full time
When our founder Bruce McLaren passed away at the age of 32 he left behind a legacy that has shaped who we are today. We have an unrivalled heritage which has its roots in racing; but McLaren Automotive is now creating a story of its own and we want you to be a part of it. As part of our Track25 business plan we will launch 18 new models or derivatives of our vehicles and look to expand our retailer network into new markets with an aim of having 100 retailers globally.   Track 25 and McLaren Automotive’ s growing reputation is testament to our world class employees. To ensure McLaren Automotive continues to be at the forefront of the Automotive market, we are looking for a Pats Operations Business Analyst to join our Aftersales team. Purpose of the role: The core responsibility of this role is to support the Aftersales Parts Operations management team with business analysis, reporting, and improvements. The end goal of the role is to provide financial & business insights that help the decision-making process, and align capital and resource allocation within the business objectives, budget and performance targets. As well as drive, fresh initiatives for financial, operational planning and business intelligence systems. Principal accountabilities: Create detailed business analysis, outlining problems, opportunities and solutions for MAL AFS Business Generate and present commercial & business insights Support budgeting and forecasting activities Maintain and monitor key performance indicators Formulate and execute continuous improvements of processes and systems Reporting, templates and dashboard development Process improvement and project management Diverse reporting Work across teams to defining business requirements and reporting them back to stakeholders Support to perform and develop financial and operational modelling to support sound business decisions Streamlining and improving of internal and external reporting Ensure competitive pricing of Aftersales parts is in place for our Global Retailer network Knowledge, skills & experience: Numerical and analytical skills Proven analytical background Strong attention to details and organisational skills Experience working with senior decision makers Able to engage with and influence stakeholders Excellent communication skills (written and verbal) Highly IT literate (Microsoft applications incl. 365/Power tools, SAP, Business Objects, and others) Educated to Degree/Bachelors level or equivalent. The International Institute of Business Analysis (IIBA) certification beneficial Automotive parts experience beneficial Personal attributes: Ability to work independently Thrives in a fast paced, challenging and dynamic environment Proactive approach to influencing others Exceptionally organized with high levels of self-motivation Meticulous attention to detail even when under pressure Approachable Confident Professional at all times Able to multi-task We recognise that we can only achieve our vision with the dedication and collaboration of our world class employees.  It is our aim to become the employer of choice within the global automotive industry. At McLaren Automotive we are constantly looking to improve. To become the employer of choice we are always looking to develop our employee offerings. We currently offer a range of benefits to employees at all levels of the business including Private Healthcare, Contributory Pension Scheme, Life Assurance and Personal Lease Car Scheme. We also offer a range of discounts with our partner organisations.
McLaren London, UK
22/04/2019
Full time
  McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team As a part of Modelling and Decision Sciences, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships. Our Decision Science team form the front line to understand client needs and convert them into technical solutions. Working closely with the clients, partners, and internal business units, to build the definition of the problem, as well as with technical teams to deliver complex solutions. Combining relevant market and commercial expertise with hands on data science/modelling/simulation skills alongside a comprehensive view of solutions architecture. In a unique position to drive innovation in line with the strategic goals of MAT/MDSci, by bridging the gap between the various technical teams and business / market facing units. The role We are looking for the right individual to help enhance our already ‘world class’ team of data scientists and Simulation engineers. Requirements Previous Experience Leading a high performance, multidiscipline team. BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline MSc or PhD in operational research Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python Skills and experience Experience in combining modelling and data-driven techniques Experience of developing models to solve problems in the healthcare or transport industries Personal attributes                                       A problem solver, using innovative cutting-edge techniques who is passionate about technology We are looking for someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team A keen interest in a specific area of systems modelling (e.g. discrete-event simulation) would be beneficial The work environment You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry over a drink or two. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required. McLaren’s Product Innovation Framework Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.                                      Recruitment process If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters. If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge and a video interview. This will be completed in your own time. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
McLaren Woking, UK
15/04/2019
Full time
When our founder Bruce McLaren passed away at the age of 32 he left behind a legacy that has shaped who we are today. We have an unrivalled heritage which has its roots in racing; but McLaren Automotive is now creating a story of its own and we want you to be a part of it. As part of our Track25 business plan we will launch 18 new models or derivatives of our vehicles and look to expand our retailer network into new markets with an aim of having 100 retailers globally. Track 25 and McLaren Automotive’ s growing reputation is testament to our world class employees.  The Role This role is as an Engineer within Advance Engineering, working in the Technology Discovery team. In this role, you’ll be focussing on the development of tools, processes and solutions that allow us to determine how future McLaren vehicles should perform. This role requires experience in the following areas: Vehicle Simulation tools & processes Software Programming Data Analytics Data Management Responsibilities: In the Technology Discovery team, you’ll be working with the engineering and product teams to define targets and technologies for future McLaren vehicles. You’ll develop tools to bring information into, manage and drive the target setting process. You’ll develop tools to bring engineering roadmaps together and align them with the future vehicle plan. This may involve learning new software languages & platforms, as we develop state of the art toolsets. As part of this role, you’ll also be simulating future vehicles and using the results along with the engineering roadmaps to understand gaps in our technology forecasts, and will develop recommendations for how to fill them. You’ll be comfortable with building simulation models of new vehicle systems as required, working with the CAE and Controls teams. As a technical specialist with strong ‘doing’ skills you’ll be responsible for contributing to AE projects related to your technical expertise in collaboration with other AE and McLaren employees. As part of the team, you’ll be expected to help your team mates with their projects with technical support or simply brainstorming ideas. You’ll be expected to expand and broaden your areas of technical competence, especially in areas we identify as being particularly relevant to our technology roadmap. You’ll have an excellent first-principles understanding of your field of expertise and a broad understanding of other related fields relevant to automotive applications. You’ll use this knowledge to uncover emerging technology and understand state of the art through publications, news, external contacts, etc. You’ll contact and build relationships with external partners, finding ways of collaborating with those that share our vision. You’ll develop innovative solutions from initial idea through to functional prototype as quickly as possible. The process must include sense-checks of feasibility through, for example, design studies, modelling and simulation. These demonstrations can be virtual or physical. Needless to say, you’ll be responsible for operating within the budget allocated and honouring commitments. As a member of an exceptionally creative, motivated and technically strong team you will be expected to share your expertise with the team, developing their understanding and skills. In addition, it’s expected that you’ll learn from other team members in return and to contribute to developing the team’s innovation culture. Qualifications  Very high results in an Engineering Degree. Demonstrate strong first principles understanding across multiple engineering fields and have a broad skill set across design, modelling, simulation, coding/calibration and testing. Demonstrate a logical and methodical approach to data analysis, taking information available from a variety of sources and forming sound conclusions based on this. It would be advantageous to have some experience of delivering high tech prototypes (hardware or software) in a very small team. Personal Attributes: You’ll have experience of developing and delivering solutions, and a proven track record in using your knowledge to be fearless in your projects’ ambition without being reckless. Self-reliant and self-starting Good communicator and ability to form strong working relationships internal to the team, in the broader business and externally. Pragmatic approach, prepared to kill an idea when necessary. Enthusiastic about learning and exploring new ideas and willing to ask questions. Curious about and driven to find out about emerging and developing technologies in the field of expertise and beyond. We recognise that we can only achieve our vision with the dedication and collaboration of our world class employees. It is our aim to become the employer of choice within the global automotive industry. At McLaren Automotive we are constantly looking to improve. To become the employer of choice we are always looking to develop our employee offerings. We currently offer a range of benefits to employees at all levels of the business including Private Healthcare, Contributory Pension Scheme, Life Assurance and Personal Lease Car Scheme. We also offer a range of discounts with our partner organisations.
McLaren London, UK
15/04/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team As a part of our Modelling and Decision Sciences function, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships. The Modelling and Decision Sciences has three core capabilities: Modelling – to understand the behaviour of complex systems through dynamics or data driven modelling; Optimization – to make recommendations about a system and its operation; Control -  enacting recommendations through either closed-loop control or human-in-the-loop decision making. The role We are looking for an experienced data scientist to lead our capability in statistical machine learning. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. Specifically, you will tackle problems in which: Modelling and quantification of uncertainty is important; Machine learning is used to complement more traditional system modelling approaches (e.g. simulation) You will also be collaborating with our software engineers to productise our solutions, and identifying opportunities to harvest capability into our core platforms. You will lead on improving quality and processes through team activities such as project estimation, code reviews and retrospectives. Requirements MSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline Experience in solving complex problems using statistical machine learning techniques, such as Gaussian processes, Bayesian inference, or graphical models. Experience developing algorithms and productionising solutions Experience in developing and testing algorithms in Python or R. Desirable PhD in mathematics, computer science, statistics, operations research, or other relevant numerate discipline. Experience with probabilistic programming packages. Experience with scaling statistical machine learning approaches. Experience in applying machine learning to healthcare applications. Personal attributes                                        A problem solver, using innovative cutting-edge techniques who is passionate about technology Someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team. An active mentor to junior members of the team. The work environment You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required. McLaren’s Product Innovation Framework Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.                                      Recruitment process If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters. If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time. If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
McLaren London, UK
18/03/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team Our self-organised and agile concept teams work collaboratively to solve crucial challenges in the health and transport industries. Concept teams are formed of Data Scientists, C#, Scala, Java, Front End, Mobile and Simulation Engineers, and are responsible for the design, commit, deploy, maintenance and operations of our projects guided by the governance of our delivery framework. The role As a Software engineer who is passionate about technology, you will use the latest open-source technologies to create robust and scalable software that runs in the cloud. You will develop small prototypes and spikes that reduce risk and actively contribute to agile ceremonies. You will work on a variety of projects, often highly complex and based around mission critical systems, delivering real time telemetry, visualisation, modelling and data analytics, underpinned by high performance databases. You will help to refine and optimise our methods of data streaming, aggregation, asset management, manipulation, modelling and visualisation, through clean and consistent coding. Requirements First-class or Upper 2nd class degree in Computer Science, or equivalent. Demonstrable programming experience in Java Good understanding of agile practices Ability to work with highly complex, scalable code Skills and expertise Experience designing, developing and creating RESTful web services and APIs Experience with Amazon Web Services or Azure Familiarity with Front-end technologies such as Angular.js or node.js Experience with SQL and NoSQL databases Experience in Scala or other functional programming languages desirable Familiarity with CI/CD and configuration tools e.g. Jenkins or Puppet/Chef is also desirable Personal attributes We are looking for someone who shares our love for software development and delivering high quality products. Willingness to learn quickly. You’re not going to know everything about the company straight away, but we need you to proactively seek learning opportunities. Likes to have fun. Yes, we work hard, but working at McLaren is like no other job in the world, so we want you to enjoy your time here. The work environment You will be based at our new, unique and spacious offices in the South Bank area of London. The building has bike storage space, showers and stunning views of London. The building hosts weekly networking events, happy hours, classes and workshops. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required. McLaren's Product Innovation Framework Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies. Recruitment Process If our experienced technical recruiters find your application is suitable for the role, you will be asked to complete a coding assessment. The assessment will be completed in your own time. If your coding assessment is successful, you’ll be invited for a phone interview with one of our hiring managers which will include technical questions relating to the job role. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team. This interview will include a pair programming exercise.                                        
McLaren London, UK
18/03/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team As a part of our Modelling and Decision Sciences function, you will build the modelling components that underpin our data-driven products and solutions from research and design, prototype and validation, through to deployment. You will work as part of cross-disciplinary teams alongside software engineers, systems engineers, and designers. You will also contribute to our core technology platforms for data and model management, as well as pushing forward our capability in our three key areas of Modelling and Decision Science: modelling insight, optimisation and control. The role This is an exciting opportunity to join our ConditionInsight portfolio team. In this team we develop condition monitoring solutions across public transport and automotive applications. We are looking for someone who has an appreciation of both simulation-driven and data-driven modelling to understand the behaviour of physical systems. You could be developing machine learning anomaly detection algorithms to identify unusual behaviour of mechanical systems, building predictive maintenance solutions driven by physics-based models, fusing sensor-based telemetry data with contextual information about a system such as maintenance logs, or using parameter estimation techniques to tune models based on a system’s behaviour. You will be motivated and excited by delivering impactful solutions into the hands of end-users, and also curious and passionate about cutting-edge technology. Principal accountabilities Identify and develop core analytical components for delivery of products Plan and lead development of analytical solutions from design through to implementation and testing Own an area of technical specialism within the team and drive forward best practice and development in that area Mentor other team members and contribute to the continuous improvement of the team Act as technical lead on team-specific projects, and as functional lead on cross-functional projects Drive the improvement of team processes by taking a lead role in team activities such as project estimation, code reviews and retrospectives Identify the 'right tool for the job' for different tasks, including technical and commercial considerations Manage interactions with other functions in the company, and provide technical input to proposals/commercial activities Engage and influence key stakeholders in making recommendations on technical approaches, data or tools Knowledge, skills, qualifications and experience BSc/MSc in Mathematics, Physics, Mechanical/Control Engineering, Computer Science, or other numerate discipline. Demonstrable experience in using physics-based modelling to understand the behaviour of physical systems. Demonstrable experience in developing models based on time-series data. Proficiency in at least one of Python or MATLAB, including good software practices (clean code, version control, unit testing). Desirable: Experience in writing object-oriented code. Demonstrable technical expertise in applying data science/machine learning approaches to engineering challenges. Experience with some of the following: Distributed processing technologies (e.g. Spark, Dask) Messaging technologies (Kafka, MQTT) Cloud deployment of algorithms (e.g. AWS, Docker) Proficiency in text mining/natural language processing, Expertise in condition monitoring/predictive maintenance applications. Values and behaviours Demonstrates a collaborative approach by sharing information and ideas openly with others. Demonstrates a strong desire to learn new approaches and ability to learn – act – reflect. Helps others to learn by sharing knowledge and experience and demonstrating skills as needed. Passion for innovation and excellence. Respects different views and opinions and takes time to understand other perspectives. Where differences occur, the ability to tactfully challenge. Demonstrates personal ownership for delivering their role, their learning and their career, but also will seek out support when required. Work environment You will be based in our London offices which are designed to offer the best possible environment to our Software & Analytics teams. There may be occasional travel to the world-famous McLaren technology Centre. Recruitment process If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters. If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time. If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
McLaren London, UK
06/03/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team As a part of Modelling and Decision Sciences, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships. Our Decision Science team form the front line to understand client needs and convert them into technical solutions. Working closely with the clients, partners, and internal business units, to build the definition of the problem, as well as with technical teams to deliver complex solutions. Combining relevant market and commercial expertise with hands on data science/modelling/simulation skills alongside a comprehensive view of solutions architecture. In a unique position to drive innovation in line with the strategic goals of MAT/MDSci, by bridging the gap between the various technical teams and business / market facing units. The role We are looking for the right individual to help enhance our already ‘world class’ team of data scientists and Simulation engineers. Requirements Previous Experience Leading a high performance, multidiscipline team. BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline MSc or PhD in operational research Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python Skills and experience Experience in combining modelling and data-driven techniques Experience of developing models to solve problems in the healthcare or transport industries Personal attributes                                         A problem solver, using innovative cutting-edge techniques who is passionate about technology We are looking for someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team A keen interest in a specific area of systems modelling (e.g. discrete-event simulation) would be beneficial The work environment You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry over a drink or two. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required. McLaren’s Product Innovation Framework Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.  Recruitment process If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters. If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge and a video interview. This will be completed in your own time. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
McLaren London, UK
25/02/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team As a part of our Modelling and Decision Sciences function, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships. The Modelling and Decision Sciences has three core capabilities: Modelling – to understand the behaviour of complex systems through dynamics or data driven modelling; Optimization – to make recommendations about a system and its operation; Control -  enacting recommendations through either closed-loop control or human-in-the-loop decision making. The role We are looking for an experienced data scientist to lead our capability in statistical machine learning. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. Specifically, you will tackle problems in which: Modelling and quantification of uncertainty is important; Machine learning is used to complement more traditional system modelling approaches (e.g. simulation) You will also be collaborating with our software engineers to productise our solutions, and identifying opportunities to harvest capability into our core platforms. You will lead on improving quality and processes through team activities such as project estimation, code reviews and retrospectives. Requirements MSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline Experience in solving complex problems using statistical machine learning techniques, such as Gaussian processes, Bayesian inference, or graphical models. Experience developing algorithms and productionising solutions Experience in developing and testing algorithms in Python or R. Desirable PhD in mathematics, computer science, statistics, operations research, or other relevant numerate discipline. Experience with probabilistic programming packages. Experience with scaling statistical machine learning approaches. Experience in applying machine learning to healthcare applications. Personal attributes                                         A problem solver, using innovative cutting-edge techniques who is passionate about technology Someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team. An active mentor to junior members of the team. The work environment You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required. McLaren’s Product Innovation Framework Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.                                      Recruitment process If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters. If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time. If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.