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 London, UK
23/11/2018
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 (MDSci), 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 Data Scientists at McLaren Applied Technologies solve problems using innovative cuting-edge techniques. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. You will be exploring and visualising a complex data sets in MATLAB, Python or R; building models using the appropriate technical methods; developing algorithms to deliver insight; and collaborating with our software engineers to productise our solutions. You will solve complex analytical problems using existing modelling and optimisation techniques in a fresh way. Whilst identifying and developing reusable components to solutions, including documentation and appropriate levels of testing of code. You will actively contribute to improve quality and processes through team activities such as project estimation, code reviews and retrospectives. Whilst liaising with project managers to update on progress and flag up project risks where appropriate. Requirements BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline MSc or PhD in mathematics, operational research, or other relevant field Experience in solving complex optimisation problems using tools such as MATLAB, R or Python (preferable) Experience developing algorithms and productionising solutions Ability to work autonomously and shape technical work Ability to work in a fast moving environment, always striving for excellence Skills and experience Experience in combining modelling and data-driven techniques Experience of developing models to solve problems in the supply chain, manufacturing and production 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. 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 Woking, UK
23/11/2018
Full time
The CFD Data Scientist will develop technologies to enhance McLaren's CFD process and analytics capability, delivering improved solutions to complex CFD problems for the Aerodynamics department. The role will include close collaboration with CFD R&D engineers and Software developers to integrate solutions that can leverage vast amounts of data to improve McLaren’s process and analytical capabilities.  Role Dimensions:   Part of the CFD Methodology team, reporting to the CFD Methodology Team Leader. This role is predominantly carried out within core hours, though some flexibility in working hours may be needed. This role is predominantly factory based.  Key Relationships:  HPC and CFD Methodology teams. Aerodynamicists. Software and applications team.  Principal Accountabilities:  Modelling: understand the behaviour of complex fluid dynamic systems through data driven modelling. Optimization of process, accuracy, predictive capabilities for complex CFD applications and workflows in collaboration with other members of the CFD R&D Team. AI Control: enacting recommendations through either closed-loop control or human-in-the-loop decision making. Explore new ways of using available CFD and HPC data to improve methodology, result analysis and process.  Leverage collaborations with leading Universities and external partners to transfer and exploit cutting edge machine learning advancements into the McLaren Racing processes and technology. Keep a strong link with the Aerodynamic Development teams, CFD R&D Engineers and the Software development team to develop novel solutions for CFD in the Aerodynamic department.  Knowledge, Skills and Experience:  A post graduate level in Aeronautics dealing with CFD or numerical methods in combination with data driven approaches would be preferred. Alternatively, Mathematics, Computational science, Statistics or other relevant fields with exposure to CFD would be considered Knowledge & experience of relevant machine learning frameworks like TensorFlow or others. Comfortable with working in Linux environment, shell scripting, Java, Python and C++ programming. Desirable:  Experience in combining modelling and data-driven techniques for CFD. Knowledge & experience on CFD software development using high level programming languages. Knowledge of common CFD solvers (CCM+ / Fluent / OpenFoam).  Personal Attributes:  A team player but with the initiative to make own decisions and work with minimal supervision. Self-starter, able to identify requirements independently, then make proposals for solutions. Excellent problem-solving skills and analytical approach, with attention to detail. Good communication skills. Aptitude to learn from others and share knowledge with others. 
McLaren London, UK
22/11/2018
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 Woking, UK
22/11/2018
Full time
McLaren Racing has one single mission: To win Grands Prix and World Championships.  To design, build and operate a Formula One car at race-winning levels requires focus, ambition, imagination, dedication and attention to detail. We're looking for an experienced software engineer to help us take our bespoke software applications to the next level.  You'll need an obvious passion for coding and a significant interest in new technologies.  The role will be involved in all stages of the development life cycle from initial analysis to deployment, so you'll need to be able to elicit requirements and see them through to delivery using best practice agile techniques. About You You have a strong academic background; BSc in Computer Science or equivalent discipline (2:1 or above) You’re an excellent full stack developer and you know what good software architecture looks like, and why it's important You understand how to engineer quality software, and promote the benefits of automated tests and peer review You've lead or participated in development projects working with agile/lean methodologies You recognise the importance of continuous learning and sharing that knowledge with others You enjoy working with people to solve problems, choosing the simplest and most elegant approach then iterating Knowledge, Skills and Experience Essential Extensive commercial C#/.NET or Python development experience Web development experience using technologies such as JavaScript, TypeScript, React, and CSS Using git in a collaborative environment (pull requests, git flow) Experience building maintainable codebases using the SOLID principles Experience of multi-threaded application development High competency in written and oral English language Desirable Experience with microservice based architectures and Docker Experience using cloud technologies e.g. Microsoft Azure Experience with MATLAB development Experience with SQL and document databases e.g. SQL Server and MongoDB Experience writing data processing, analysis, or visualisation tools within a data centric organisation