1 to 25 of 260 Permanent TensorFlow Jobs in the UK

design, low-level design, API development, and data modelling for production machine learning systems. Build and operate production solutions using technologies such as Python, TensorFlow, PyTorch, Redis, Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop … environments. Proficient programming and software engineering skills in Python, including experience building production-grade services and APIs. Experience with machine learning frameworks such as TensorFlow and/or PyTorch. Experience owning machine learning solutions across the full lifecycle, including experimentation, evaluation, deployment, monitoring, and operational improvement. Experience building ...

equivalent practical experience. Strong Python programming and software-engineering skills. Experience developing machine-learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference optimisation ...

Machine Learning Software Engineer/Senior Machine Learning Software EngineerAccelerate Scientific Discovery with Oxford Instruments Andor; ImarisAt Oxford Instruments Andor, we are dedicated to enabling the world's greatest scientific breakthroughs. Our cutting-edge imaging ...

resiliency and security expectations; experience coaching engineers on safe, compliant adoption. Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS).Hands-on practical experience delivering system design, application ...

implementing machine learning solutions, including model training, deployment, and inference at scale, with working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn. You have a background in a customer-facing technical role (solutions architect, ML engineer, data scientist, or technical consultant ...

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our ...

focused on timeseries data and text Strong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorch Experience working with data systems, structured and unstructured databases such as ClickHouse or MongoDB Familiarity with APIs, pipelines, kubernetes and linux environments. Experience ...

DescriptionWe are looking for a passionate AI Engineer specialising in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work ...

DescriptionPost Number: OMC OXXX 1020Job Title: Data EngineerNATO Grade: NATO GRADE 15NATO Body: Headquarters Allied Maritime Command (HQ MARCOM) Location: Northwood, Middlesex, UKSecurity Clearance Level: NATO Secret Basic Monthly Salary: 6204.99 (tax free)Closing Date ...

across a small ML team. What they're looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real ...

grade Python toolboxes, automation scripts, and spatial data pipelines for ArcGIS Pro, ArcGIS Enterprise, and SDE environments. Integrate deep learning frameworks (e.g. PyTorch or TensorFlow) and ML libraries (such as scikit-learn or Hugging Face) into geospatial workflows to solve client-specific problems at scale. Lead technical delivery … geospatial problems (e.g. object detection, image classification, feature extraction, or spatial prediction).Working knowledge of at least one deep learning framework (PyTorch or TensorFlow).Experience with ArcGIS Pro, ArcGIS Enterprise, and File or SDE geodatabases. Ability to communicate technical outputs clearly to non-GIS audiences. Degree ...

machine learning lifecycle, from problem definition and experimentation through to deployment and monitoring. Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies. Experience working with large datasets and distributed data processing environments. Applying software engineering best practices including testing, version control and developing ...

large or high dimensional datasets. Proficiency in Statistical programming languages including SAS, R and Python: familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) preferred. Solid understanding of causal inference and observational study design. Excellent communication skills and ability to collaborate effectively in cross functional, global teams. Experience with ...

Learning, Ranking and Recommendation, or Time Series AnalysisKnowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statisticsUnderstanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-LearnStrong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using ...

evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks (PyTorch, TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal frameworks across the globe Excellent written ...

Python services as required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled ...

production environments. Strong understanding of machine learning engineering principles and modern software engineering practices. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar. Experience training and optimising models using large datasets and distributed compute infrastructure. Experience working with recommendation systems, ranking, retrieval, personalisation or related ...

least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real ...

least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real ...

least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real ...

observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability ...

observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability ...

services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. Mastery of SQL (including advanced optimisation ...

data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied ...

Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks ...