201 to 225 of 331 TensorFlow Jobs in the UK

and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU's and GPU's. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams More ❯

funded R&D projects. Proficient programming skills in Python, with extensive experience in ML development using libraries and toolkits. Familiarity with at least one major ML framework such as TensorFlow or PyTorch. Desirable Technical Expertise: Candidates should demonstrate expertise (through publications, industrial applications, or open-source contributions) in one or more of the following areas: Graph-based machine learning More ❯

1+ years of relevant experience (industry, academia, or self-driven projects). Experience in C/C++ is essential. Strong Python skills, especially with libraries such as OpenCV, NumPy, TensorFlow, and PyTorch. Exposure to real-time camera feeds, image acquisition and synchronisation, and fluorescence imaging pipelines. Familiarity with embedded systems, edge devices, or low-level control APIs. Solid understanding More ❯

presales, client partner, or solution principal role. Experience supporting sales forecasting, pipeline management, deal structuring, and sales coaching. Familiarity with AI/ML and Data Management frameworks and tools (TensorFlow, PyTorch, Keras, Spark, Databricks etc.) Experience in on-premise data center infrastructures relevant to AI/ML, Data and Data Management Strong cross-functional leadership and internal stakeholder management More ❯

to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and More ❯

cloud services) to ensure smooth deployment of 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, AI/… Machine Learning is a plus. Must have 8 years' experience working as a Software Engineer on large software applications Proficient in many of the following technologies - Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing More ❯

What You Will Do Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and … and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. More ❯

and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly Desirable Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. Understanding More ❯

by your tech lead and colleagues from the wider Data Science chapter at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have More ❯

you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we More ❯

across a diverse software environment Desirable Skills, Knowledge and Competencies: Publications in top ML conferences (e.g. ICML, ICCV, SysML or similar)Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of real More ❯

Present findings to technical and non-technical stakeholders What You'll Need: PhD with 4+ years post-PhD experience Strong Python programming skills Experience with ML frameworks (e.g. PyTorch, TensorFlow) Proven track record in team leadership and proposal writing Expertise in NLP, LLMs, knowledge graphs, or graph ML Desirable Skills: Tools: PyTorch-Geometric, PyKeen, Neo4j Languages: SQL, Cypher Familiarity More ❯

mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? you'll join a high-impact More ❯

mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high-impact More ❯

technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This is a unique opportunity to influence high-impact innovation in a multi-disciplinary, research-driven environment. Reference: AMC More ❯

technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This is a unique opportunity to influence high-impact innovation in a multi-disciplinary, research-driven environment. Reference: AMC More ❯

mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high-impact More ❯

R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), knowledge graph tools (e.g. Neo4j) Familiarity with query languages More ❯

linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice to have: Familiarity with tools like PyTorch-Geometric, PyKeen, or Neo4j Experience with SQL, Cypher, or More ❯

linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice to have: Familiarity with tools like PyTorch-Geometric, PyKeen, or Neo4j Experience with SQL, Cypher, or More ❯

or Azure Familiarity with Docker/Kubernetes Infrastructure-as-Code tools like Ansible or Terraform Knowledge of database technologies (SQL/NoSQL/Graph) Exposure to ML platforms (e.g. TensorFlow, Azure ML) 🎁 The Package: Salary up to £72,000 Hybrid working (3 days a week in Leeds) Private medical, enhanced pension & life assurance Inclusive culture with a focus on More ❯

in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please note More ❯

of modern machine learning, statistics, and computational modelling Experience leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature More ❯

mitigation. Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on AI/ML security. Strong knowledge of AI/ML technologies, frameworks (e.g. TensorFlow, PyTorch), and threat landscapes. Background in development or data science is highly advantageous. Expertise in secure development practices and cloud-native architectures. Hands-on experience with threat modelling, adversarial More ❯

focused environment that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in More ❯