601 to 625 of 982 TensorFlow Jobs in England

Data Science Engineer Crawley 1 day a month in the office At Peregrine, were constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals More ❯

Social network you want to login/join with: Position: Senior Data Scientist Experience: 5+ years in a Senior Data Science role Eligibility: UK British passport holders only The successful candidate will be responsible for developing actionable insights across projects More ❯

Our client is revolutionising healthcare for millions of patients worldwide. They are at the forefront of wearable technology, connecting patients and physicians with continuous, data-driven dialogue. This unique position offers daily directed guidance that redefines primary care while helping More ❯

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart More ❯

documentation. Required Skills Expertise with Python and/or C/C++ Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques. Development with machine learning frameworks (JAX, Tensorflow, and/or PyTorch) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Fundamentals of modern Deep Learning Desired Skills Track record of successfully scaling ML models. Experience writing More ❯

of AI technologies, machine learning algorithms, and data science principles. Excellent problem-solving and analytical skills. Ability to communicate complex concepts to non-technical stakeholders. Experience with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, or Google Cloud. Ability to work independently and collaboratively. Skills: Agile Delivery Management Kanban Solutions Architecture What you can expect from More ❯

Being comfortable working with a hybrid team. Nice to Haves Experience with Go, C++, Java, or another systems language. Experience with Docker, Kubernetes, and ML production infrastructure. PyTorch/Tensorflow deep learning experience. Experience using dbt Benefits Flexible Working Hours & Remote-First Environment — Work when and where you’re most productive, with flexibility and support. Comprehensive BUPA Health Insurance More ❯

to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Strong knowledge of linear algebra, calculus and statistics Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics More ❯

or similar. Industry experience of ideally 3+ years within AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as More ❯

scientists. Qualifications & Skills: A good understanding of modern machine learning techniques A good foundation of coding practices, preferably in Python A reasonable proficiency with Python Proficiency with PyTorch or TensorFlow A critical mindset and understanding of scientific principles Ability to work in a team of scientists and exchange views and ideas based on evidence A quality degree in a … Knowledge of a Python API package such as FastAPI Experience developing software as part of a team Familiarity with version control systems, especially git High proficiency with PyTorch and TensorFlow Ability to confidently produce and deliver presentations on their work, within a team and to a wider audience Ability to create and maintain relationships with external collaborators Seniority level More ❯

We’re searching for Senior ML Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers.Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are … s roadmap that unlock key high-impact technical and business milestones that drive the success of Flux. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers … experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong More ❯

We’re searching for Senior ML Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers.Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are … s roadmap that unlock key high-impact technical and business milestones that drive the success of Flux. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers … experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong More ❯

re searching for Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we … debugger requirements with the OTPU design; ensure software and hardware are designed together to deliver maximum performance. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimize Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximize throughput. Mentor & Define Standards: Lead code reviews, coach peers … of experience in software engineering with a focus on C/C++ programming. Extensive experience in ML framework internals, compilers, low-level programming, and optimisation techniques. Extensive experience optimising Tensorflow, PyTorch or JAX deep learning models. Extensive experience with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong More ❯

re searching for Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we … debugger requirements with the OTPU design; ensure software and hardware are designed together to deliver maximum performance. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimize Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximize throughput. Mentor & Define Standards: Lead code reviews, coach peers … of experience in software engineering with a focus on C/C++ programming. Extensive experience in ML framework internals, compilers, low-level programming, and optimisation techniques. Extensive experience optimising Tensorflow, PyTorch or JAX deep learning models. Extensive experience with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong More ❯

Frameworks, and EC2 Instances. Deliver ML/DL projects end-to-end: understand needs, data aggregation, exploration, model building & validation, deployment, and impact delivery. Utilize frameworks like MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras for DL models. Use SparkML and Amazon Machine Learning for ML models. Collaborate with Big Data and DevOps teams to analyze, normalize, label data, and operationalize … internal or external customers. Experience delivering end-to-end ML/DL projects, understanding business needs, data handling, model building, validation, and deployment. Skilled in DL frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, AML). 7+ years in IT platform implementation, consulting, and distributed solutions design. Experience with databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis More ❯

the AI workflowfrom exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g., DVC) is highly valued. A … learning within the team. Skills & Experience: You will have the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists, engineers and More ❯

business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. • Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. • Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. • Work with … business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. - Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS - 7+ years of IT platform implementation in a technical and analytical More ❯

in a relevant discipline Strong background in AI/ML and/or statistical signal processing applied to time-series or sequential data Proficiency in Python with experience using TensorFlow, PyTorch, scikit-learn, or similar ML frameworks Experience leading R&D projects and mentoring early-career researchers Ability to work independently or within collaborative team Reference: AMC/DRI More ❯

lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points More ❯

lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points More ❯

Publish research and engage with academic partners What You'll Bring: PhD or equivalent experience in AI/ML or signal processing Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong experience with time-series data, decision-making models, or sensor fusion A track record of innovation and delivering complex R&D Preferred Expertise: RF comms, radar More ❯

Publish research and engage with academic partners What You'll Bring: PhD or equivalent experience in AI/ML or signal processing Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong experience with time-series data, decision-making models, or sensor fusion A track record of innovation and delivering complex R&D Preferred Expertise: RF comms, radar More ❯

Publish research and engage with academic partners What You'll Bring: PhD or equivalent experience in AI/ML or signal processing Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong experience with time-series data, decision-making models, or sensor fusion A track record of innovation and delivering complex R&D Preferred Expertise: RF comms, radar More ❯

About the job Machine Learning Engineer NLP Specialist Employment Type: Permanent Private healthcare and well-being programme 28 days annual leave plus bank holidays Enhanced parental leave policies Annual performance-based bonus Budget for personal development and certifications About the More ❯

applications. Conduct performance optimisation and fine-tuning of AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ More ❯