26 to 50 of 60 PyTorch Jobs in Central London

Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people ...

Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people ...

transformer-based models, and prompt engineering . Expertise in cloud platforms (Azure, AWS, or GCP) and MLOps pipelines . Proficiency in Python , TensorFlow/PyTorch , and API integration . Understanding of data governance, security, and compliance in AI systems. Excellent communication and stakeholder management skills. Nice to Have Experience with ...

data scientists and help shape AI best practice Requirements Strong experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda ...

calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth ...

Work closely with product and domain experts to translate requirements into robust ML solutions. Who You Are Strong proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs ...

Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data ...

forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with ...

reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training ...

Bachelor’s degree 2:1 or above in a quantitative subject). Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch). Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts). A collaborative mindset with strong communication skills and experience ...

recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication ...

recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication ...

recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication ...

deployment, evaluation, monitoring, optimisation Familiarity with agentic frameworks (ReAct, LangGraph, tool orchestration) Strong communication skills for technical workshops and solution shaping Preferred Experience with PyTorch/TensorFlow, vector DBs, RAG, distributed inference Background in start-ups, high-performance engineering groups, or technical consulting Experience navigating complex industries or regulated environments ...

architectures (ReAct, CoT loops, LangGraph, tool orchestration). Excellent communication skills with the ability to run workshops and shape technical direction. Preferred Experience with PyTorch, TensorFlow, vector DBs, RAG, and distributed inference. Background in dynamic, high-performance environments (start-ups or technical consultancies). Exposure to regulated industries or complex ...

running cost-effective serverless architecture. Understand Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, JavaScript, Azure Pipelines, and Databricks is desirable, but not essential. Experience of participation in software engineering efforts for AI-enabled SaaS products ...

running cost-effective serverless architecture. Understand Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, JavaScript, Azure Pipelines, and Databricks is desirable, but not essential. Experience of participation in software engineering efforts for AI-enabled SaaS products ...

cost-effective serverless architecture. Experience working with Python, C#, and Angular. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, Databricks, JavaScript, and Azure Pipelines is desirable, but not essential. Experience in leading software engineering efforts for AI-enabled SaaS products ...

Machine Learning, or a related discipline Strong hands-on experience with transformer-based models/LLMs Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) Proven publication record at leading conferences such as NeurIPS, ICML, or ICLR On Offer Collaborate with an elite, research-driven team in a rapidly ...

operate distributed data processing across Spark, Databricks, and Kubernetes. Improve developer productivity through faster builds, better orchestration, and scalable infra. Productionize ML models (PyTorch), from prototype to deployment. We are seeking someone with the following experience: Strong Python programming and solid data engineering fundamentals. Hands-on with Ray, Spark, Databricks ...

analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance and compliance frameworks (GDPR ...

architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.). Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow). Ability to bridge high-level research with practical implementation. Curious, humble, and excited to work on hard technical problems with real enterprise ...

industry research experience. • Ideally 3+ years in machine learning/deep learning/LLMs or adjacent advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving ...

solutions, and deliver insights that directly influence strategy. Responsibilities: Develop data pipelines using Python, Pandas, and SQL Build and deploy machine learning models with PyTorch Create LLM and workflow integrations using LangChain Consolidate and prepare datasets for analysis and modelling Provide clear, actionable insights to technical and non-technical stakeholders ...

physics, computer science...) Expertise in machine learning, with a strong understanding of flow matching, diffusion and/or GANs Machine learning orientated programmed skills (Pytorch, Python...) Experience in developing and benchmarking new machine learning models Working with multi-GPU models Industrial experience in machine learning applications for either chemistry ...