Latest ai analyst Jobs

Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)

This role involves deep technical work on GPU compute software, focusing on Vulkan-based optimization across Windows, Linux, and ChromeOS. You'll collaborate with ISVs, open-source communities, and internal teams to enable and enhance GPU workloads on Intel platforms, using low-level programming and performance analysis. The position emphasizes full-cycle development, from prototyping to go-to-market support, with a strong focus on cross-platform software-hardware integration.

Intel Germany €130,300 pa

Hybrid Permanent

Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)

This role involves enabling and optimizing GPU compute workloads on Intel platforms, with a focus on Vulkan-based applications across Windows, Linux, and ChromeOS. The engineer will collaborate with ISVs, open-source communities, and internal teams to develop, debug, and optimize software solutions leveraging Intel GPU capabilities. Key responsibilities include performance tuning, technical consultation, and influencing future hardware and software architectures through direct feedback to Intel engineering teams.

Intel €130,300 pa

Hybrid Permanent

Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)

This role involves enabling and optimizing GPU compute workloads on Intel platforms using Vulkan across Windows, Linux, and ChromeOS. The engineer will collaborate with ISVs, open-source communities, and internal teams to develop, debug, and optimize software solutions, while providing technical feedback to shape future Intel GPU technologies. The position emphasizes performance tuning, cross-OS development, and ecosystem engagement for client systems including laptops, desktops, and workstations.

Intel €130,300 pa

Hybrid Permanent

Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)

This role involves deep technical work on GPU compute software, focusing on Vulkan-based optimization across Windows, Linux, and ChromeOS. You'll collaborate with ISVs, open-source communities, and internal teams to enable and optimize workloads on Intel GPUs, covering areas like AI/ML, media, and productivity applications. The position emphasizes low-level programming, performance tuning, and influencing future Intel GPU architecture through hands-on software development and partner engagement.

Intel €130,300 pa

Hybrid Permanent

Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)

This role involves developing and optimizing GPU compute software using Vulkan across Windows, Linux, and ChromeOS to ensure high-performance execution on Intel client platforms. The engineer will collaborate with ISVs, open-source communities, and internal teams to enable and enhance GPU workloads in areas like AI/ML, media, and productivity applications. Responsibilities span full lifecycle development, performance tuning, technical consultation, and influencing future Intel GPU architecture through direct feedback.

Intel €130,300 pa

Hybrid Permanent

Software Optimization Engineer – GPU / Hardware-Accelerated Media (FFmpeg / HandBrake / Intel® Quick Sync Video) (f/m/d)

This role involves deep technical work on hardware-accelerated video processing, focusing on optimizing and contributing to open-source media projects like FFmpeg and HandBrake. The engineer will collaborate with open-source communities, ISVs, and internal Intel teams to enhance media performance on Intel platforms using technologies like Intel® Quick Sync Video and oneVPL. The position emphasizes upstream contributions, performance analysis, and integration of advanced codecs and AI-enhanced media workflows.

Intel Germany €112,550 pa

Hybrid Permanent

Software Optimization Engineer – GPU / Hardware-Accelerated Media (FFmpeg / HandBrake / Intel® Quick Sync Video) (f/m/d)

This role involves deep technical work on hardware-accelerated video processing using Intel's GPU and media technologies. You'll contribute directly to open-source projects like FFmpeg and HandBrake, optimize media pipelines for Intel Quick Sync Video, and collaborate with internal teams and external partners to improve performance and adoption. The position emphasizes low-level media software development, performance analysis, and leadership within the open-source media ecosystem.

Intel €112,550 pa

Hybrid Permanent

Software Optimization Engineer – GPU / Hardware-Accelerated Media (FFmpeg / HandBrake / Intel® Quick Sync Video) (f/m/d)

This role involves optimizing and advancing hardware-accelerated video technologies on Intel's GPU architectures, with a strong focus on open-source media ecosystems like FFmpeg and HandBrake. You'll develop, debug, and upstream software enhancements while working closely with open-source communities, ISVs, and internal Intel teams to improve media performance across client and workstation platforms. The role emphasizes deep technical work with modern codecs, video acceleration APIs, and AI-enhanced media pipelines, combining software engineering with architectural influence.

Intel €112,550 pa

Hybrid Permanent

Software Optimization Engineer – GPU / Hardware-Accelerated Media (FFmpeg / HandBrake / Intel® Quick Sync Video) (f/m/d)

This role involves deep software engineering work on GPU-accelerated video technologies, focusing on optimizing and upstreaming contributions to open-source media projects like FFmpeg and HandBrake. The engineer will collaborate with open-source communities, ISVs, and internal teams to enhance Intel's media capabilities across codecs such as AV1, HEVC, and VP9 using Intel® Quick Sync Video and oneVPL. Key responsibilities include performance analysis, debugging, and influencing hardware-software co-design for next-generation media solutions on Intel platforms.

Intel £112,550 pa

Hybrid Permanent

Software Optimization Engineer – GPU / Hardware-Accelerated Media (FFmpeg / HandBrake / Intel® Quick Sync Video) (f/m/d)

This role involves deep technical work on optimizing open-source media software such as FFmpeg and HandBrake for Intel's GPU and hardware-accelerated video technologies. You'll develop and upstream code improvements, analyze performance across codecs like AV1 and HEVC, and collaborate closely with open-source communities and Intel engineering teams. The position emphasizes hands-on contributions to media pipelines using Intel® Quick Sync Video and oneVPL, with a focus on real-world applications in transcoding, streaming, and AI-enhanced video workflows.

Intel €112,550 pa

Hybrid Permanent

Senior Applied Data Scientist

As a Senior Applied Data Scientist, you will lead and deliver complex data science projects, applying machine learning and human creativity to solve real-world business problems. You will work closely with the Tesco Personalisation team to develop and deploy scalable personalisation solutions, collaborating with a team of 30+ data scientists.

dunnhumby London, United Kingdom

Hybrid Permanent

Senior Machine Learning Applications and Compiler Engineer, LPX

You will develop and optimize algorithms for NVIDIA's LPX inference and compiler stack, focusing on high-performance runtime and compiler components. Your work will involve benchmarking, profiling, and collaborating with hardware teams to influence future architectures and improve performance.

NVIDIA Cambridge, United Kingdom

Hybrid Permanent

Principal Machine Learning Engineer

The role involves developing and optimizing machine learning models for personalized recommendations, working with large-scale data pipelines, and deploying models in production. You will collaborate with data scientists, engineers, and product managers to enhance the Machine Learning Platform and drive innovation in recommendation systems.

Sky Tw75Qd, TW7 5QD, United Kingdom

On-site Permanent

Senior Machine Learning Engineer (Recommendation)

This role involves developing and optimizing machine learning models for personalized content recommendations, working with large-scale data pipelines, and deploying models in production. The successful candidate will collaborate with cross-functional teams to enhance the Machine Learning Platform and drive innovation in recommendation systems.

Sky Tw75Qd, TW7 5QD, United Kingdom

On-site Permanent

Senior Machine Learning Applications and Compiler Engineer, LPX

You will develop and optimize algorithms for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. Responsibilities include building high-performance runtime and compiler components, benchmarking performance, and collaborating with hardware and software teams to influence future architectures.

NVIDIA

Hybrid Permanent