Proficient in Python, R, or other programming languages for data analysis and machine learning. Familiar with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, etc Experience with Microsoft Azure AI services. Experience with Azure data and analytics services, such as Azure Data Factory, Azure Data Lake, Azure more »
high-performing, cross-functional team of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions … Hands-on experience in building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and ethical AI more »
and delivering successful data science projects. Proficiency in programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms more »
in data manipulation Prior work experience with analytical/statistical data analysis tools such as R and Python and deep learning libraries such as PyTorch, TensorFlow, Keras Familiarity with data visualization and dimensionality reduction algorithms Ability to develop, benchmark and apply predictive algorithms to generate hypotheses Comfortable working in cloud more »
a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a more »
London, England, United Kingdom Hybrid / WFH Options
AWTG Ltd
developers, and contribute to the overall improvement of development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor more »
least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
AI strategy. Key skills: Python for Machine Learning and Data Science Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such more »
a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization more »
and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic more »
London, England, United Kingdom Hybrid / WFH Options
IO Associates
Proficient in Python, R, or other programming languages for data analysis and machine learning. Familiar with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, etc.. Experience with Microsoft Azure AI services. Experience with Azure data and analytics services, such as Azure Data Factory, Azure Data Lake, Azure more »
background in computer vision ML models and using modern frameworks for deploying these models. Proficient in Python, and familiar with deep learning frameworks like PyTorch (required) and TensorFlow. Skilled in using cloud services (GCP, AWS or Azure) If you’re interested in this role, please apply through the advert to more »
Ensure code quality, performance, and scalability. Qualifications Bachelor’s Degree in Computer Science, Information Systems, Mathematics, etc. 7+ years in Python and libraries like PyTorch, NumPy, Pandas, Matplotlib, QuantLib, etc Experience in Systems that handle high-throughput, low-latency data Experience with multi-threading, concurrency, and high-frequency trading (HFT more »
engineering. 3+ years of experience managing software engineering teams. Proficiency in code review and technical problem-solving to support and unblock engineers. Experience with PyTorch or Python. Hands-on experience with LLMs, multimodal, and NLP applications is highly desirable. Proven people management or mentoring experience. Strong project management skills, including more »
SLURM, Ray, or similar. Experience in creating and managing multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI more »
processing experience(RISC-V Vector) Strong software development skills using standard development tools (e.g., Git, Jira, etc.) Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.) Excellent problem-solving skills with a logical and analytical mindset Strong communication and interpersonal skills to collaborate effectively within a team environment Ability to more »
SLURM, Ray, or similar. Experience in creating and managing multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
IC Resources
principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms, and frameworks (TensorFlow, PyTorch) and their integration with specialised hardware platforms. What’s On Offer ~£80-120K + share options Hybrid working Guide long term roadmap And much more »
to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing academic publications Excellent written and more »
and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance and reliability more »
techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using ESRI’s pre-trained models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications, applying libraries such … as Pandas and GeoPandas for data analysis and geospatial data manipulation. Advanced AI and computer vision expertise, with practical knowledge in using C++, TensorFlow, PyTorch, and OpenCV for object detection, image segmentation, and optical character recognition. Excellent analytical skills, able to work effectively in a multidisciplinary team. Desirable: Familiarity with more »
engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO, SVP of Legal Services … solutions, from data ingestion and preprocessing to model training, evaluation, and productionization. - Strong programming skills in Python, with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable ML model more »
Cambridge, England, United Kingdom Hybrid / WFH Options
IC Resources
Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a Compute Library Engineer looking for a new more »
ll be responsible for Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks. Work extensively with PyTorch and other machine learning frameworks to build and iterate on models. Optimise and productionise models inside the AWS ecosystem, making use of accelerated hardware resources … track record of deploying models in production settings. Advanced proficiency in Python and familiarity with machine learning and deep learning frameworks (e.g. Scikit-learn, PyTorch, TensorFlow). Experience with containerization technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning. Expertise in a range of machine learning more »
Extensive experience MLIR/LLVM Compiler Development Advanced C++ programming skills Understanding of AI Processors is preferred Familiarity of AI frameworks such as Tensorflow, PyTorch, etc. If you’re a MLIR Compiler Lead looking for an exciting new challenge within a great company, then please apply today to learn more more »
