176 to 200 of 555 TensorFlow Jobs in England

deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with More ❯

deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with More ❯

deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with More ❯

deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with More ❯

deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with More ❯

ensure data quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization models aligned with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or More ❯

ensure data quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization models aligned with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or More ❯

communication and stakeholder management skills. Background in product management with a focus on AI; engineering experience is a plus but not required. Familiarity with tools and platforms such as TensorFlow, PyTorch, AWS/Azure/GCP, and agile methodologies. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. 5+ years in product More ❯

mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting all genders, sexualities, race, disability or More ❯

mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting all genders, sexualities, race, disability or More ❯

mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting all genders, sexualities, race, disability or More ❯

learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the More ❯

learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the More ❯

learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the More ❯

procedures for information governance, especially when using patient data Qualifications Essential Expertise building statistical models and use of machine learning using Python libraries such as Scikit-learn, Keras, and TensorFlow frameworks Experience in natural language processing Experience with one or more data management tools (SQL etc.) Demonstrable use of programming in collaborative and reproducible analysis pipelines Experience using data More ❯

Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Experience working with AI-driven development tools such as Cursor, Copilot, or Replit Ghostwriter. Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). More ❯

in data science, with at least 2 years in a leadership role managing teams and projects. Technical Skills : Proficiency in Python, SQL, and machine learning libraries (e.g., scikit learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud). Domain Knowledge : Experience in credit risk modeling, fraud detection, or financial services is highly desirable. Leadership More ❯

derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and More ❯

quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS, GCP), and ethical AI practices. Monitor sector and regulatory trends in AI, proactively updating content to maintain relevance, compliance, and industry alignment. Maintain More ❯

quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS, GCP), and ethical AI practices. Monitor sector and regulatory trends in AI, proactively updating content to maintain relevance, compliance, and industry alignment. Maintain More ❯

AI Engineer Location: Weybridge, Surrey Remuneration: £40,000 - £50,000 depending on experience Leading the way in tech innovation, our client is seeking a dynamic AI Engineer to join their ambitious and forward-thinking team. This role offers an exciting More ❯

career technologist seeking formal qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven person Desirable skills: Experience More ❯

e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills, with the ability to synthesize technical observations More ❯

we're looking for: Prior experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have: MLOps More ❯

we’re looking for: Prior experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have: MLOps More ❯