601 to 625 of 802 PyTorch Jobs in England

field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high More ❯

background in object detection, tracking, segmentation, or visual understanding. Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier conferences. More ❯

develop best practice. What we’re looking for Strong foundation in Data Science, Machine Learning and AI engineering . Proficiency with Python and modern data/AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Comfortable working on-site with clients multiple times per week — building relationships and credibility. Consulting mindset: analytical, inquisitive, adaptable, and outcome-focused. Passion for turning data More ❯

000. 1-2 years experience working in AI development environments. Comes from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Good understanding of LLMs. Strong technical background in Data, Development & Cloud – Python/Azure. Excellent collaboration and stakeholder management skills. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

and commercial teams to bring ideas to life What they're looking for: 1-3 years' experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

000. 1-2 years experience working in AI development environments. Comes from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Good understanding of LLMs. Strong technical background in Data, Development & Cloud – Python/Azure. Excellent collaboration and stakeholder management skills. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self More ❯

000. 1-2 years experience working in AI development environments. Comes from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Good understanding of LLMs. Strong technical background in Data, Development & Cloud – Python/Azure. Excellent collaboration and stakeholder management skills. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

We're Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets - financial or otherwise - and turn them into production More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

principles. What we’re looking for Significant hands-on Data Science experience, ideally within consulting or digital transformation. Depth in Machine Learning, Predictive Modelling, and LLM frameworks (Python, TensorFlow, PyTorch, Hugging Face, etc.). Ability to translate complex data science outcomes into clear business narratives. Comfortable leading engagements in hybrid models — client site and remote. Confident, credible communicator able to More ❯

principles. What we’re looking for Significant hands-on Data Science experience, ideally within consulting or digital transformation. Depth in Machine Learning, Predictive Modelling, and LLM frameworks (Python, TensorFlow, PyTorch, Hugging Face, etc.). Ability to translate complex data science outcomes into clear business narratives. Comfortable leading engagements in hybrid models — client site and remote. Confident, credible communicator able to More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

principles. What we’re looking for Significant hands-on Data Science experience, ideally within consulting or digital transformation. Depth in Machine Learning, Predictive Modelling, and LLM frameworks (Python, TensorFlow, PyTorch, Hugging Face, etc.). Ability to translate complex data science outcomes into clear business narratives. Comfortable leading engagements in hybrid models — client site and remote. Confident, credible communicator able to More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches. Experience deploying to and managing workloads on MCP or distributed processing environments. Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus. Ability to write clean, efficient, and well-documented code in a collaborative environment. Desirable: Experience with multi-agent coordination or LLM-based autonomous agents. More ❯

Learning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2).- Proficiency in PyTorch (or similar) and comfortable optimizing GPU inference.- Experience deploying ML models to production and integrating via APIs.- Familiarity with AWS, GCP, or Azure for scalable deployment. Desirable:- Understanding of speaker More ❯

OSCP, or NCSC CCP (Senior Practitioner+). Threat modelling experience for exascale/GPU workloads in classified environments. Desirable Skills/Experience Secure AI/ML pipelines on HPC (PyTorch/TensorFlow + CUDA hardening). Quantum-resistant cryptography for future HPC roadmap. Cross-domain/air-gapped solutions (data diodes, guarded transfers). Containerised HPC (Apptainer/Singularity, Kubernetes More ❯

or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement More ❯