Values-driven culture - we're really proud of our culture.
Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute to HQ in London, Chiswick 1-2 times per week.
We won't rest until we've got all our customers to net zero by 2050 - and we know that some of them feel more comfortable with a female working in their home.
We've written this advert with one thing in mind - to inspire more females to roll up their sleeves and try their hand at fitting smart meters.
You will partner with teams across Arm to support them to reduce their GHG emissions and achieve their renewable energy goals.The ideal candidate will have the data skills, and interest in climate change to help Arm decarbonise and to report its progress.Arm's energy-efficient compute platforms are foundational to the world's most advanced technology and the future of AI computing, that is redefining the way people live and businesses operate.
Job Overview:We are looking for a Climate Data Specialist to contribute to Arm's response to the climate crisis.You will focus on collecting and analysing technical data for internal and external reporting.
The EU Process Engineering Team is seeking a customer-focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in Fulfillment Centre Operations.
Collaborating closely with Amazon Fulfillment Center Operations and data teams, you will be responsible for developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and insights.
Are you interested in a high-impact role with exposure to senior leaders?
We are looking for experienced ML Engineers who will build a range of innovative algorithm solutions, aimed to guide architecture definition of the next-gen Arm compute platforms.You will be working in a team of computer vision and machine learning engineers to prototype algorithms for graphics (gaming) that pushes the state of the art.
We are looking for experienced engineers with a hands-on machine learning background, and good understanding of graphics and gaming, to develop new neural graphics algorithms.
In Arm's Central Technology group we are building trail-blazing future technology which will keep Arm-based products redefining the state-of-the-art.
You will partner with various stakeholders and teams around the world to support methane and vapor intrusion mitigation program development and ongoing facility management including standards and policy development, implementation, and execution.To be successful in this role, you will possess exceptional organizational and communication skills and be able to send clear, concise and consistent messages, both verbally and in writing.
You will have extensive methane and vapor intrusion experience, mitigation system experience including design, construction, operations, maintenance, and monitoring (OMM), understand the regulatory environment, and demonstrate this expertise when working with internal and external teams.This role will be based in London and requires UK and EU travel 25% of the time.Key job responsibilitiesProvide a single point of contact to internal and external teams to support them on developing, understanding, and executing Amazon's methane and vapor intrusion programs.Complete due diligence reviews of properties to assess ground gas risk.
As an Amazon Worldwide (WW) Workplace Health & Safety (WHS) Methane and Vapor Intrusion Mitigation Specialist and Risk Manager, you will be responsible for all aspects of supporting one of the safest real estate programs in the world!
The Reliability Maintenance Engineering (RME) team at Amazon is fundamental to our operations they're the ones keeping vital machinery running at all times.
As an RME Technician, you'll maintain a wide range of equipment and workspaces while upholding Health and Safety best practices.
You'll help to keep your colleagues safe and prevent machine downtime.