Reading, Berkshire, United Kingdom Hybrid / WFH Options
Cerebras
the combination of Cohesity with Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We've been named a Leader by multiple analyst firms More ❯
and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology More ❯
InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯
Experience of managing Linux systems at scale. o Experience managing IT projects. o Experience setting up and supporting batch queueing systems (i.e. slurm) o Experience setting up and supporting Nvidia GPU systems o Ability to write well documented code in a high-level language or script (Python/Perl) o Experience in managing Unix systems other than Linux would be More ❯
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
MBDA
opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a wider cohort of summer placements and graduates on the Early Careers Programme; benefits from this include receiving More ❯
unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We've raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. Role Overview Synthesia is building a modern, AI-powered back office. We are hiring a More ❯
InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯
InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯
Leatherhead, Surrey, South East, United Kingdom Hybrid / WFH Options
Recruitvirt
VMware NSX VMware Live Recovery VMware vSphere with Tanzu VMware Avi Advanced Load Balancer VMware Site Recovery Manager VMware vSphere Replication VMware HCX vCloud Director (vCD) Private AI with NVIDIA Product lifecycle processes, such as certificate replacement, password rotation and product upgrades. Other Benefits 25 days holiday plus bank holidays Hybrid working Pension and life assurance Wellbeing, financial and legal More ❯
HPC, or related infrastructure technology sectors. A proven track record of developing and executing product strategies that delivered measurable commercial success. Deep technical understanding of Generative AI, GPU architectures (NVIDIA H100/H200, A100, A6000), HPC, and ML/AI workloads. Ability to operate strategically but remain hands-on in execution when required. Strong commercial acumen with the ability to More ❯
system testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯
R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Synthesia
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team More ❯
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team More ❯
london, south east england, united kingdom Hybrid / WFH Options
Synthesia
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Synthesia
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team More ❯
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our More ❯
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our More ❯
Cambridge, Cambridgeshire, England, United Kingdom
Redline Group Ltd
Science, or equivalent Provable experience working with C++14 and Linux Extensive experience with ROS1/ROS2 (Robot Operating System) Familiarity with UML, microcontroller programming, embedded devices for robotics (e.G., NVIDIA Xavier/Jetson), Docker, Jira is beneficial This role offers a competitive salary and benefits package. You will join a pioneering technology company with excellent career growth opportunities and profit More ❯
Cambridge, Cambridgeshire, East Anglia, United Kingdom
Redline Group Ltd
Science, or equivalent Provable experience working with C++14 and Linux Extensive experience with ROS1/ROS2 (Robot Operating System) Familiarity with UML, microcontroller programming, embedded devices for robotics (e.G., NVIDIA Xavier/Jetson), Docker, Jira is beneficial This role offers a competitive salary and benefits package. You will join a pioneering technology company with excellent career growth opportunities and profit More ❯
R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Computer Vision Engineer - Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from More ❯
R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Computer Vision Engineer - Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from More ❯
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Certain Advantage
system testing and debugging on Linux-based systems. Would be useful: Knowledge of UML and experience of Rhapsody. Experience using Matlab and Python applications for data analysis. Experience of NVIDIA CUDA. Experience of OpenDDS. More ❯
product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation More ❯
challenges. Architect & Build AI-Powered Solutions : Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage More ❯