61 Machine Learning Jobs in the East of England

What we need: Strong proficiency in CUDA, OpenCL programming and GPU architecture Strong experience in Kernal development for GPU's or similar Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or CUDA-based libraries like cuDNN is a plus. more »

science and robust drug development. You will be a key player in designing and operating software that integrates cutting-edge knowledge graphs, LLMs and ML techniques into our biomedical data processing and drug discovery platforms. We are open to applicants at various career stages, but we are particularly interested in … Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge … science, bioinformatics, software development, or a related field. Strong proficiency in Python and experience with Large Language Model integration. Proofed experience in applying modern ML/LLM frameworks and concepts Good understanding of ML principles including embeddings, cross-validation and fine-tuning. Proficiency in common data preprocessing task and normalisation more »

Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge … the ecosystem of biomedical and/or clinical data resources Knowledge of human genetics, genomics, and/or drug discovery - or are interested in learning about these topics. Experience working with knowledge graphs (e.g., https://biocypher.org) and graph databases (e.g., Neo4j). Experience leveraging embeddings derived from … graph-based representations and/or machine learning. Experience building high-quality software and making frequent deployments as part of a regular software release process. Experience working with infrastructure-as-code, continuous integration, containers, Cloud infrastructure, and deployment. Interest in promoting your work and the ways we have solved more »

Salary: Up to £85,000 BOE + Bonus Location: Cambridge/Remote We’ve partnered with an award-winning Cambridge company that develops deep learning software solutions for the life sciences. Come join an open-minded and collaborative team as a Principal Java Engineer! This role is what you … working policies. Does the below sound interesting to you? If so, it’s likely you’d be interested in their projects: NLP AI/ML/Data Analytics Working in the life sciences/pharmaceutical domain to drive life-changing research This is a rough guideline of the tech they more »

We're working with an award-winning Cambridge company that develops deep learning software solutions for the life sciences. Come join an open-minded and collaborative R&D team as a Principal Java Engineer, as they design and develop their new platform. This role is what you make it … like. Does the below sound interesting to you? If so, it's likely you'd be interested in their projects: NLP & LLM AI/ML/Data Analytics Working in the life sciences/pharmaceutical domain to drive life-changing research This is a rough guideline of the tech they 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 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 »

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 … 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 »

that you will be getting involved with as a Systems Administrator (scripting/degree/security) role? *Configuration and general upkeep on computer Systems. *Learning about a Cutting Edge industry and developing within this. *Being involved with installing new software/hardware. … Troubleshooting, understanding problems at a deep level whilst sharing ideas with the team. This is an amazing chance to join a leading AI/ML in Cambridge. Do not delay in sending your application via the link below! Please be assured that your CV will be treated in the strictest more »

They provide a stable and supportive environment. They are looking for a Senior 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 … successful Senior 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 Extensive experience with mentorship or leading a team Ability to work independently in a fast-paced environmentIf 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 environmentIf you are a Compute Library Engineer looking for more »