76 to 100 of 352 TensorFlow Jobs in the UK

ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to 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 ❯

model training, and deployment techniques. 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker More ❯

model training, and deployment techniques. 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker More ❯

Experience and Qualifications Required: Deep hands-on experience with Azure Databricks, particularly in developing and deploying machine learning solutions using Delta Lake, MLflow, and Spark ML/PyTorch/TensorFlow integrations Strong programming skills in Python (including ML libraries like scikit-learn, pandas, PySpark) and experience using SQL for data preparation and analysis Experience orchestrating end-to-end ML More ❯

stakeholders. Stay ahead of the curve by experimenting with emerging AI and ML techniques. What You’ll Bring Strong background in Python or R (e.g., Pandas, NumPy, Scikit-learn, TensorFlow). Skilled in SQL and statistical analysis. Proven experience in data science, ideally within energy, optimisation, or IoT-focused applications. Solid grasp of machine learning techniques such as regression More ❯

Comfortable shipping AI features or automation products Essential skills: Strong experience with Machine Learning, LLMs, NLP and Data Science Proven track record of building and deploying AI models (Python, TensorFlow, PyTorch, LangChain) Hands-on with cloud platforms (preferably Azure, or AWS, GCP) Good understanding of APIs, microservices, and data pipelines Able to prototype quickly and communicate findings clearly Why More ❯

Comfortable shipping AI features or automation products Essential skills: Strong experience with Machine Learning, LLMs, NLP and Data Science Proven track record of building and deploying AI models (Python, TensorFlow, PyTorch, LangChain) Hands-on with cloud platforms (preferably Azure, or AWS, GCP) Good understanding of APIs, microservices, and data pipelines Able to prototype quickly and communicate findings clearly Why More ❯

translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP More ❯

container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation: We're looking for individuals who are constantly exploring 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 ❯

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 with real-time streaming technologies (Kafka, Apache Storm). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or More ❯

optimising inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands-on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured More ❯

Contribute to shared libraries and frameworks that support model training, evaluation, and deployment. Innovation & Research: Stay ahead of developments in GenAI (e.g. LLMs, multimodal models), ML frameworks (e.g. PyTorch, TensorFlow, Scikit-learn), orchestration tools (e.g. LangChain, LangFuse) and stay connected with AI community e.g. Hugging Face. Engineering Excellence: Apply SOLID principles, design patterns, and dependency injection to AI systems More ❯

contribute to overall project objectives. Understanding of how to use APIs to deploy machine learning models. Hands-on experience with containerization. Strong grasp of machine learning frameworks (e.g. PyTorch, Tensorflow). Knowledge of machine learning architectures, loss functions, tools and techniques. Experience developing & training machine learning models, including hyperparameter tuning and optimizing model performance. Experience with (or at least More ❯

Strong interest in Generative AI with the ability to understand and articulate key concepts. ● Experience working with LLMs, LangChain and other AI technologies. ● Familiarity with machine learning frameworks like TensorFlow or PyTorch is a bonus. — What They Offer: ● Impactful Work: Contribute to a mission-driven company revolutionising adult social care. ● Equity Opportunity: Competitive salary with equity options. ● Growth Potential More ❯

Strong interest in Generative AI with the ability to understand and articulate key concepts. ● Experience working with LLMs, LangChain and other AI technologies. ● Familiarity with machine learning frameworks like TensorFlow or PyTorch is a bonus. — What They Offer: ● Impactful Work: Contribute to a mission-driven company revolutionising adult social care. ● Equity Opportunity: Competitive salary with equity options. ● Growth Potential More ❯

AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in More ❯

AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in More ❯

automation and tooling that enhance efficiency and insight generation. Promote best practices in data governance and software design. You’ll need: Strong programming skills in Python (NumPy, Pandas, PyTorch, TensorFlow, or Scikit-learn). Experience building data pipelines and working with structured/unstructured data (SQL/NoSQL). Familiarity with the AI/ML model lifecycle from experimentation More ❯

automation and tooling that enhance efficiency and insight generation. Promote best practices in data governance and software design. You’ll need: Strong programming skills in Python (NumPy, Pandas, PyTorch, TensorFlow, or Scikit-learn). Experience building data pipelines and working with structured/unstructured data (SQL/NoSQL). Familiarity with the AI/ML model lifecycle from experimentation More ❯

Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow) Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction) Benefits Share options and More ❯

and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science More ❯

and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science More ❯

active role in open source communities. Excellent programming abilities with experience in relevant languages (Python, Rust, C++ and/or Go). Experience with relevant libraries/tools (PyTorch, Tensorflow, Neo4j) and/or AI accelerators (GPU, TPU) is a plus. Deep understanding of open source development processes (RFCs/proposals, GitHub pull requests) with demonstrable contributions to open More ❯