25 of 25 Virtual Reality Jobs in the North of England

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience More ❯

join their skilled team. This is a hybrid role with 2 days per week working in the company's' impressive offices kitted out with VR headsets and plenty of areas for hackathons, ideas sharing and a well-stocked beer (and soft drink) fridge! If you're interested in building quality More ❯

join their skilled team. This is a hybrid role with 2 days per week working in the company's' impressive offices kitted out with VR headsets and plenty of areas for hackathons, ideas sharing and a well-stocked beer (and soft drink) fridge! If you're interested in building quality More ❯

in amazing offices. Salary: £60,000 to £80,000 plus benefits This company is at the forefront of leveraging cutting-edge technology encompassing AR, VR, AI and 3D Rendering to redefine their sector. Started three years ago, they are fully funded and now have a major organisation as their majority More ❯

A Level, grade BBB (Essential) About the Employer Bank of America Here at Bank of America, we’re developing innovations in emerging fields like virtual reality, artificial intelligence and machine learning. Through our cutting-edge projects and prototypes, we help all kinds of businesses to access finance more More ❯

a Computing Lecturer eager to be part of a growing division, contributing to the academy's expansion and specializing in emerging technologies like AI, VR, AR, MR, robotics, and Esports. The Role: Leading lessons and workshops Training and progression opportunities Monday to Friday, 37-hour week The Candidate: Experienced in More ❯

Engineering Lifecycle Sound knowledge in simulation, software, and engineering Knowledge of aircraft and their systems operation and key performance parameters Familiarity with modelling/virtual reality toolsets Ideally experienced with logical and mathematical based engineering tools (e.g. SysML, Matlab/Simulink, Cameo System Modeller) Benefits: You'll receive More ❯

no: 502607 Work type: Early Career, Experienced Professional Location: Cambridge UK, Manchester UK, Kings Langley UK, Bristol UK Categories: Graphics The role The Power VR Hardware Graphics team has been innovating and delivering GPU IPs for the last 30 years. Our mission is to create through constant innovation the best … This is an excellent opportunity to take your ASIC design verification career to a whole new level on cutting-edge designs within our Power VR Hardware Graphics group. Day to day, you'll take responsibility for applying modern techniques to design and verify complicated hardware modules. You will: Design and More ❯

a Computing Lecturer eager to be part of a growing division, contributing to the academy's expansion and specializing in emerging technologies like AI, VR, AR, MR, robotics, and Esports. The Role: Leading lessons and workshops Training and progression opportunities Monday to Friday, 37-hour week The Candidate: Experienced in … and Information Technology Holds a degree-level qualification in a related subject Interested in a fulfilling career in education Keywords: Computing, Information Technology, AI, VR, AR, MR, Robotics, Esports, Lecturer, Teacher, Wigan Reference Number: BBBH243156 To apply for this role or to be considered for further roles, please click 'Apply More ❯

a Computing Lecturer eager to be part of a growing division, contributing to the academy's expansion and specializing in emerging technologies like AI, VR, AR, MR, robotics, and Esports. The Role: Leading lessons and workshops Training and progression opportunities Monday to Friday, 37-hour week The Candidate: Experienced in … and Information Technology Holds a degree-level qualification in a related subject Interested in a fulfilling career in education Keywords: Computing, Information Technology, AI, VR, AR, MR, Robotics, Esports, Lecturer, Teacher, Wigan Reference Number: BBBH243156 To apply for this role or to be considered for further roles, please click 'Apply More ❯