601 to 625 of 742 PyTorch Jobs in the UK

cross-functional teams.Excellent communications skills both written and verbal“Nice To Have” Skills and Experience:Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes.System bring-up and JTAG debugging expertiseGood background of system performance analysisExperience with RTL simulation tools and software development toolsIn Return ...

Ability to lead complex research efforts while staying grounded in product impact, user experience, and real‐world performance. Strong coding and experimentation skills (Python, PyTorch/JAX, audio processing libraries). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Proven experience mentoring ...

generative modelling, ideally applied to sequential or multimodal data. Hands‐on experience with large language models or similar transformer‐based architectures. High proficiency in PyTorch, including distributed training and model optimisation. A solid grasp of time‐series modelling and tokenisation, preferably in the context of audio, speech, or video. ...

area of machine learning, together with strong mathematical and experimental fundamentals Strong hands-on implementation skills in Python and modern ML frameworks such as PyTorch, with the ability to debug models, experiments, and systems from first principles The ability to independently own an ambiguous, long-running research agenda while collaborating ...

demonstrate: Proven product management in development tools and software including CLIs, SDKs and APIs. Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT. Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

runtime, compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility, and reproducibility Experience in ML systems ...

improving sampling efficiency or model throughputExperience working with high-dimensional temporal or spatial-temporal data (e.g., video, multi-sensor fusion).Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.Strong publication record or contributions to open-source ML tooling.Ability to work collaboratively in a fast-paced, innovative ...

sampling efficiency or model throughput Experience working with high-dimensional temporal or spatial-temporal data (e.g., video, multi-sensor fusion). Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools. Strong publication record or contributions to open-source ML tooling. Ability to work collaboratively ...

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines ...

scalable solutions. Work closely with data scientists to deploy machine learning models into production environments; optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post‐deployment. Keep up‐to‐date with the latest developments in Python … Learning is a plus. Must have 8 years’ experience working as a Software Engineer on large software applications. Proficient in technologies including Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, and Apache Spark. Experience working with one or more of the following database systems: DynamoDB, DocumentDB ...

Machine Learning Engineer London Outside IR35 £500-£600 per day The Company They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy ...

Machine Learning Engineer London | Outside IR35 £500-£600 per day The Company They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy ...

boost AI model inference performance on CPU and CPU/XPU hybrid systems, using advanced compiler techniques. You will profile frameworks such as TensorFlow, PyTorch and ONNX, optimize graph execution, and contribute to open research with practical insights and publications. #J-18808-Ljbffr ...

ideal candidate would have a strong publication record and hands‐on ML research experience, with the ability to write clean, documented research code in PyTorch and related tools. You’ll work with frontier researchers and government partners, with opportunities to collaborate across teams and disciplines and contribute #J-18808-Ljbffr ...

frontier model development. You will contribute to native multimodal modelling, large-scale pre-training, data pipelines, and evaluation benchmarks, requiring strong Python and PyTorch expertise and a track record of top-tier publications. #J-18808-Ljbffr ...

algorithm, architecture, and hardware teams to extract value for customers. Ideal candidates combine Python/C++ proficiency with hands‐on DL framework experience (PyTorch/TensorFlow) and familiarity with MLIR/TVM, focusing on performance and power efficiency for edge devices. #J-18808-Ljbffr ...

with teams for data quality, and ensure continuous training cycles. Preferred qualifications include 3+ years in deep learning, proficiency in Python and frameworks like PyTorch/JAX, and effective communication. The role offers 23 days off, private healthcare, and a pension scheme. #J-18808-Ljbffr ...

with software, product management and research teams. You will require BS+10y or MS+7y in CS/ML/Robotics, expert Python and CUDA/PyTorch skills, and a track record in computer vision and model fine-tuning. #J-18808-Ljbffr ...

engineers to move research into production. The role emphasises robust, scalable pipelines, containerised workflows, and secure, compliant deployment in cloud environments. Strong Python and PyTorch skills are essential. #J-18808-Ljbffr ...

product, research and engineering to deliver high‐quality AI-based diagnostics. The role emphasizes producing production‐readied ML systems from research, using Python and PyTorch, with cloud, hybrid and on‐prem deployments, in a healthcare‐focused setting. Hybrid work and equity are offered. #J-18808-Ljbffr ...

functional teams to ensure timely delivery of high-quality ML systems. You will operate across the full ML lifecycle, applying frameworks like TensorFlow or PyTorch, and leverage cloud platforms and container orchestration to deploy at scale. #J-18808-Ljbffr ...

simulations. You will design MuJoCo environments and train agents using PPO, SAC, and TD3, crafting reward and observation spaces for robust policies. Strong Python, PyTorch/JAX skills and experience with Mujoco/MJCF are essential. You'll collaborate asynchronously with research teams, stay current with the latest in robot ...

training and alignment while scaling training across large GPU clusters. You will apply your deep knowledge of transformers, distributed frameworks, and PyTorch/Hugging Face to deliver robust, efficient models. This remote, international role invites collaboration with researchers worldwide on cutting-edge AI R&D. #J-18808-Ljbffr ...

throughput improvements Preferred: Experience with LLVM/MLIR development AI Model Profiling & Framework Optimization: Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations) Preferred: Experience optimizing models on multiple ...

against a live training/matchday schedule, not just be technically neat. Python/SQL/TypeScript, PyData stack (Pandas/Polars, Altair, etc.), PyTorch/JAX/TF. You'll own things end-to-end, data through UI. Looking for strong quant background, first-principles engineering judgment, and taste ...