51 to 64 of 64 Machine Learning Jobs in the East of England

associated experience, then apply with your CV below. br p strong Design Engineer - FPGA - C++ - Software Development - Embedded Linux - Python - SystemVerilog - Altera - Engineering - Design - Machine Learning - Digital Design/strong/p p Are you passionate about shaping the future of AI technology? Do you thrive in a more »

and architecture from system requirements • A structured approach to firmware design (RTCA DO-254 or similar) • Cryptography and anti-tamper techniques • Artificial Intelligence including machine learning and genetic algorithms • Electronics test methods and equipment more »

particles. The organisation is focusing on the improvement of gene therapy delivery, developing a drug delivery platform which utilises both highly engineered nanoparticles and machine learning methodology. They have already created several effective partnerships with pharma and biotech companies to create an impressive research pipeline, with a particular more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

Hybrid Working Model This new start-up will offer the opportunity to work on ground breaking technology developing ultra-low power sensors, whilst incorporating machine learning. With the current focus firmly centred around flow-sensing, the team are now looking to add a dynamic Embedded Software Engineer to the more »

Experience needed: Prior working experience with compiler technologies may that be with LLVM or GCC, or if you have experience working on AI/ML related compilation infrastructure such as MLIR this could also be of interest. Knowledge of at least one Graphics API (DirectX, OpenGL, Vulkan). Strong programming more »

ML System Performance Engineer I am seeking an experienced ML System Performance Engineer who has a track record of using ML models to carry out performance analysis on NPUs, CPUs or GPUs and to be based in Cambridge working on a hybrid basis. Must have a track record of utilising … ML models to investigate simulators for system performance analysis. E.g., bottlenecks, latency, workload analysis, changes and debugging. Primary Responsibilities Working closely with the modelling and performance team to apply ML models to investigate simulations and carry out performance analysis on NPUs (Neural Processing Unit). Required Experience Masters or PhD … in Computer Science, Electronic Engineering or similar. At least 4 years of industry experience working with ML models for system performance analysis. Strong background with CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at leading NPU more »

ML Compiler Engineer Top of the market salaries + bonus & healthcare! I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who are focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative products … chance for an engineer to progress their career and achieve future aspirations. They provide a stable and supportive environment. They are looking for an ML Compiler Engineer to develop a commercial-level compiler that can take full advantage of their HW capabilities and develop a variety of software stacks that … can handle large-scale parallelism. You will also analyse various ML and HPC benchmarks and applications, developing and applying new optimisations. What's required for this ML Compiler Engineer position? Extensive experience in compiler development Generating compiler back-end code Parallel programming experience - OpenCL, CUDA, OpenMP etc Experience with Assembly more »

and accessibility of data to support analytics, business intelligence, and operational needs across the organisation. The client has plans to invest in Data Science, ML and Advanced Analytics in the future, therefore expect the role to eventually own an ML Ops capability. We are looking for: Proven experience in a more »

ATAC-seq analysis, DNA methylation age clocks, data from in vitro models, and ageing biology. Experience working in HPC or cloud environments, familiarity with ML tools and packages, and working with databases (preferred MongoDB). Ability to communicate complex topics to non-bioinformaticians. Excellent attention to detail, the ability to … on experience. Benefit from our salary sacrifice pension scheme, life cover, sickness benefit, and Cyclescheme. Thrive in our startup environment where professional growth, continuous learning, and making a significant impact on our mission await you. We value diversity, teamwork, and excellence. Experience a supportive workplace that fosters innovation and more »

ML Systems Performance Analysis - AI Accelerator I am seeking someone experienced in Systems Performance Analysis, specifically using performance simulators to develop benchmarks and to analyse and identify bottlenecks in NPUs/AI Accelerators. Must be able to work closely with HW and SW teams to provide optimisation recommendations by understanding … performance opportunities on current processor architecture. Based in Cambridge on a hybrid basis. Primary Responsibilities Using ML models to carry out performance analysis on NPUs. Working closely with the modelling and performance teams utilising the simulator for NPU performance analysis. Pinpointing problems in the HW/problems in the compiler … performance analysis for NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor manufacturers. What’s on offer Competitive more »

ongoing development of graphics applications with an understanding of how standard graphics APIs map to Imagination products.Spearhead the software architecture of new AI/ML capabilities for future generations of GPU and CPU platforms.Own the technical software architecture for compute applications and their mapping to underlying hardware.Evolve and develop the … and profilers.Knowledge of accelerated computing software architecture for GPUs and other hardware accelerator architectures and the associated software ecosystems for applications.Experience with AI/ML applications and there mapping to GPU/hardware accelerator platforms and the associated software ecosystems for applicationsUnderstanding of graphics application APIs and the software ecosystems … that support them across both desktop and mobile platforms.A technical background in AI/ML software infrastructure across data centre, automotive and embedded devices, with particular focus on inference application deployment and optimization.A technical background in system level software for interfacing hardware such as GPUs to CPU platforms covering drivers more »

Although fully remote work is welcomed for Engineers within the UK and unable to relocate. You would join a team working on AI/ML/Data Analytics acceleration. Key skills Strong SystemVerilog skills. Strong micro-architecture skills; ability to take ML/AI/Data Analytics concepts and come more »

aspirations. They provide a stable and supportive environment. They are looking for a Compute Library Engineer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join a talented team of 5 engineers at an exciting time of growth … a successful Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a Compute Library Engineer looking more »