26 to 50 of 68 TensorFlow Jobs in England

machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines ...

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 ...

version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ...

essential. •You should have strong Python development skills •Solid understanding of machine learning fundamentals and AI concepts •Experience with frameworks such as PyTorch, TensorFlow or LangChain •Experience developing and deploying machine learning models into production •Knowledge of data pipelines and CI/CD practices •Experience with Docker, Kubernetes ...

computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch - Excellent communication skills with the ability to translate complex AI concepts for both technical and business audiences PREFERRED QUALIFICATIONS: - Experience leading ...

delivery of AI/ML systems at scale within or for financial services organisations - Deep understanding of modern AI/ML stacks - PyTorch or TensorFlow, Hugging Face, LLM serving infrastructure - and strong familiarity with agentic frameworks (Strands, LangGraph, CrewAI) and how they manage complex, stateful workflows - Strong technical foundation ...

stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.) Familiarity with ...

individuals who combine strong technical ability with curiosity and a problem-solving mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases ...

Node.js, Python, REST & GraphQL APIs Cloud & Infra: AWS (ECS, S3, Lambda), Docker, Cloudformation, Pulumi, CI/CD with GitHub Actions ML/AI: PyTorch, TensorFlow, scikit‐learn, MLflow for experiment tracking, Zenml for ML pipelines Data: PostgreSQL, DynamoDB, data pipelines with Zenml (We’re open to evolving the stack ...

individuals who combine strong technical ability with curiosity and a problem-solving mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases ...

series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Why BAE Systems Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work ...

Engineer or Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated ...

take ownership of complex problems Strong communication skills, with the ability to explain technical concepts clearly Technical Environment Python (e.g. pandas, scikit-learn, TensorFlow/PyTorch where relevant) SQL and large-scale data processing Cloud-based environments (e.g. AWS, Azure, or similar) Experience with model deployment, monitoring, and lifecycle ...

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 ...

leading ML initiatives • Strong Python programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week ...

software engineering background - Python, JavaScript, Typescript node.js etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - AWS preferred but all considered - Very strong communication skills - Experience working ...

sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries ...

Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers). Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Advanced programming skills in Python. Solid understanding of model training, evaluation, and scaling. Strong problem-solving, analytical, and communication skills. Ability to work ...

relevant work experience PREFERRED QUALIFICATIONS: - Experience using managed ML/AI solutions - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that ...

design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch. - 4+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general ...

Essential Requirements You will have a PhD in a relevant topic. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Experience working with LLMs, knowledge graphs, or graph machine learning Of particular interest are candidates with the following experience (evidenced by a track ...

equivalent work experience delivering state-of-the-art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state-of-the-art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise ...

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 ...

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 ...

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 ...