476 to 500 of 959 TensorFlow Jobs in England

breakthroughs into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling More ❯

bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their More ❯

fraud detection, anomaly detection, credit scoring, AML/KYC, operational risk. Technical Proficiency Strong command of Python and experience with ML/DL frameworks such as scikit-learn, PyTorch, TensorFlow, XGBoost etc. Comfortable working with complex, multimodal datasets including tabular, textual, and time-series data. Familiarity with ML Ops pipelines for deployment, monitoring, and lifecycle management of models in More ❯

deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently formulate More ❯

Power BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their workstack, clearly communicating More ❯

years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical More ❯

technologies. Collaborate with data and software engineers to deliver integrated solutions. Degree in Computer Science, Engineering, or a related field. Hands-on experience with AI technologies and frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, Java, or C#. Experience with API design and management, as well as data integration techniques. Strong experience of setup of More ❯

bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their More ❯

and preparing datasets, demonstrated through coursework, internships, or personal analytical projects You have demonstrated initiative by independently exploring additional analytical and machine learning tools or frameworks, such as BigQuery, TensorFlow, PyTorch, or similar Progression This is an initial six-month engagement. If you perform well, the expectation is that you’ll move into a promoted, permanent role at the More ❯

Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - 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 opportunity employer and does not discriminate on the basis of protected More ❯

developing embedded or cloud software (python, C/C++, or equivalent) with exposure to Linux or RTOSs. • Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent). • Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets). • Track record More ❯

commerce - this is essential as you’ll be the domain expert from day one. Excellent Python programming skills and strong familiarity with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, Keras etc. Proven track record deploying ML models to production (API, batch, or streaming contexts) Solid understanding of the modern software engineering, infrastructure and data technologies Experience working More ❯

strong emphasis on multi-agent architectures or related areas such as prompt engineering or reinforcement learning from human feedback. Extensive hands-on proficiency with leading AI frameworks including PyTorch, TensorFlow, or Hugging Face libraries alongside advanced Python programming skills. Applied expertise in natural language processing (NLP), generative AI models, or reinforcement learning methodologies is highly desirable. Exceptional communication abilities More ❯

applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python and using common libraries (numpy, pandas, sklearn, pytorch/tensorflow, etc.) Experience building robust ML and data science pipelines. Experience with git version control, with familiarity of different branching and merging strategies. Compensation & Benefits At Insmed, we're committed More ❯

developers. You will have a strong record of securing funding for and delivering innovative R&D. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph More ❯

Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent More ❯

infrastructure Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or More ❯

Team: Tech Hours: Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our More ❯

About the Client The client is a global quantitative investment firm that develops and implements systematic financial strategies across diverse asset classes and markets. Their mission is to generate high-quality predictive signals (alphas) using a proprietary research platform, targeting More ❯

We welcome applications from candidates with disabilities, neurodiversity and long-term health conditions, and we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the recruitment and interview process wherever it is reasonable More ❯

analysis to explain technical problems and provide detailed feedback and solutions Preferred Qualifications: Masters degree or PhD in Computer Science or a related technical field Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis Understanding of information retrieval concepts, such as indexing, querying, and ranking Demonstrated experience with More ❯

you have: 3–5 years of experience in software engineering, with some hands-on exposure to AI/ML projects Familiarity with AI/ML tools and platforms (e.g., TensorFlow, PyTorch, OpenAI API, LangChain, etc.) Experience developing backend services and integrating APIs Comfort with deploying cloud-based solutions (AWS preferred) and an understanding of modern DevOps practices A pragmatic More ❯

algorithms, and data science principles. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to non-technical stakeholders. Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, Google Cloud). Ability to work independently and as part of a team. #CF-1 Together, as owners, let’s turn meaningful More ❯

learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice More ❯

within ML development and deployment. Tech & Team leadership of small to medium size teams. Experience of the UAV/Drone/Autonomous Systems sector. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. Familiarity with Cloud environments (AWS, GCP etc.). This is a chance to join a business with real purpose, where you work More ❯