18 of 18 TensorFlow Jobs in Central London

experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI ...

healthcare). Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation ...

experience shipping AI or ML systems to a live production environment Solid Python across the core stack: Pandas, NumPy, Scikit-learn, and PyTorch or TensorFlow Real hands-on experience with LLMs — fine-tuning, prompt engineering, agentic orchestration A working understanding of MLOps: you don't just build models ...

models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications ...

1+ year of commercial experience in machine learning or data science Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Exposure to AWS services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation, and experimentation Familiarity with MLOps ...

working as a data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). Comfortable designing ...

Learning Engineer or equivalent role Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version ...

ICML, or ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply Compensation ...

quality, and regulatory compliance Also Valuable Experience with healthcare data interoperability (FHIR, HL7, DICOM) Exposure to ML model serving, MLOps pipelines, or ML frameworks (TensorFlow, PyTorch) Understanding of GDPR, HIPAA, or UK Data Protection Act compliance Experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK) Experience designing data ingestion ...

deployment, and monitoring Experience with tools/frameworks like LangGraph, ReAct, CoT — or ability to build systems from first principles Familiarity with PyTorch/TensorFlow, RAG pipelines, vector DBs, and modern infra Background in startups (builders) or consultancies (client-facing delivery) Self-directed, adaptable, and comfortable operating in ambiguity ...

statistics, linear models & model evaluation techniques Experience with the Python data stack (NumPy, Pandas, etc.) and ML libraries Familiarity with tools such as PyTorch, TensorFlow, JAX, Plotly, Altair Experience working with large datasets and performance-sensitive systems Strong problem-solving ability with attention to detail Ability to communicate complex ...

strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models ...

hardware Optimising inference (TensorRT, compression, etc.) Integrating into real-world systems Across both, you’ll need: Strong Python + deep learning experience (PyTorch/TensorFlow) Proven experience either in advanced ML development OR deployment Ability to deliver in complex, real-world environments Must hold active SC or DV clearance ...

following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe ...

systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models to edge or hardware-constrained systems Familiarity with tools like TensorRT or similar optimisation frameworks Ability to work with customers ...

you. What You’ll Do Own end-to-end ML model lifecycles from training to deployment to monitoring Productionise models built in PyTorch, TensorFlow, or Scikit‐learn Use MLflow for experiment tracking, model versioning, deployment, and release workflows Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs) Design … Work closely with engineering teams to deliver real-world ML systems across multiple sectors. Tech Stack You’ll Work With Python, SQL, PySpark PyTorch, TensorFlow, Scikit‐learn MLflow (core focus), Databricks, Azure IaC: Terraform, ARM, Ansible Git, Azure DevOps, Jenkins What We’re Looking For ✔️ 3+ years ...

frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark … passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ...

We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that ...