26 to 50 of 100 TensorFlow Jobs in England

in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and More ❯

in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and More ❯

on experience as a Data Scientist, with exposure to productionised models. Proficiency in Python (production-level) and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure). It would be great if you had: Experience in the retail energy sector. More ❯

code reviews, architectural decision-making, and technical debt management Ability to establish coding standards and best practices across teams AI/ML Expertise Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with LLM integration (OpenAI, Anthropic, open-source models) Knowledge of RAG architectures, prompt engineering, and vector databases (Pinecone, Weaviate) Experience with MLOps tools and monitoring More ❯

skills in Python, plus experience with languages such as Java, C++, or Go. Familiarity with modern UI frameworks (TypeScript, Node.js). Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) applied to financial datasets. Minimum 4 years in AI-focused roles within finance or technical consulting, with exposure to regulatory compliance. Deep understanding of AI ethics, governance, and More ❯

and advanced AI architectures. You are an industry expert in ML model development, deployment, and MLOps at scale. You are deeply comfortable with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch) and have experience working in a microservices architecture (Go Lang experience is a plus). You have extensive experience with real-time ML applications, reinforcement learning, graph-based More ❯

Java, C++) Analytical mindset with strong problem-solving skills and attention to detail Desirable Experience with Python and familiarity with data science or machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Interest or experience in signals, RF, or SDRs Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud) Academic or project experience in ML, data More ❯

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 ❯

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 ❯

Collaborate on research-to-product translation, turning cutting-edge AI safety research into deployable tools. We're Looking For: Experienced AI/ML engineer with strong Python, PyTorch, or TensorFlow skills. Familiarity with LLMs, reinforcement learning, or generative AI. Passion for AI safety, alignment, or ethics. Problem-solver mindset; comfortable building from scratch in a fast-paced startup environment. 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 ❯

as C++, Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution More ❯

field Strong proficiency in Python Proficiency in C++ Experience with Linux operating systems Must be a fast learner Desirable Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience with hardware architectures or compilers Experience with test automation in a CI/CD 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 ❯

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 ❯

safe AI adoption. Qualifications Degree in Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge of AI ethics, compliance, and data privacy. Excellent communication and stakeholder engagement skills. Desired Traits Passion 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 ❯

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 ❯

AI operations. Strong expertise in designing and deploying LLMs in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid working arrangement: 2 days in the Warwick office and More ❯

accuracy and interpretability. Develop and validate machine learning and statistical models for prediction, classification, clustering, or optimization. Apply supervised and unsupervised learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch. Implement NLP, time-series forecasting, or optimization algorithms based on project requirements. Evaluate models using appropriate metrics and perform hyperparameter tuning for optimal performance. Convert proof-of More ❯

Transformers, OpenAI API, LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of LLM evaluation methods, including human-in-the-loop and automated metrics Familiarity with deploying LLMs in cloud or More ❯

deploying AI models, preferably within high-performance or real-time environments. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data analysis, statistical methods, and predictive modelling. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Preferred Skills More ❯

weekends Who You Are 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects Python proficiency Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools A passion for connecting with real users and enabling them to be power users of the More ❯

Engineer based near Birmingham should have most of the following key skills: - Demonstrated experience delivering business impact and growth through ML solution design and development - Proven experience in Python, TensorFlow/PyTorch, and modern ML frameworks. - Strong background in data modelling, feature engineering, and model deployment. - Experience with SQL, cloud platforms (AWS/GCP/Azure), and API integration. More ❯