A minimum of 4 years' experience in Python, with a strong foundation in machine learning principles. Proficient in modern AI frameworks and libraries, notably PyTorch and Hugging Face. Experienced with foundational Large Language Models (LLMs) APIs in production environments. Skilled in deploying machine learning solutions to production. Strong communication skills 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 »
IAM, S3, Lambda, Step Functions, Athena/Glue, CodePipeline Containers orchestration using CloudFormation, Terraform, Docker, Kubernetes Experience in development using Python, particularly using TensorFlow, PyTorch, scikitlearn, boto3 and the Python Data Science stack (pandas, numpy etc.) Why work at GlobalLogic. Our goal is to build an inclusive positive culture where more »
Machine Learning Engineer or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/Keras/etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS more »
and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI more »
Oxford, Oxfordshire, South East Hybrid / WFH Options
IC Resources
working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialised hardware platforms PyTorch, TensorFlow Python, C/C++, Desired experience HDL What’s on offer? £60-90k, share options and a growing benefit package Hybrid working (preferably more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
IC Resources
working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialized hardware platforms PyTorch, TensorFlow Python, C/C++, Desired experience HDL What’s on offer? £60-90k, share options and a growing benefit package Hybrid working (preferably more »
transformers-based models such as BERT, GPT, etc. Extensive Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like more »
relational databases, and programming experience in Python or Scala. Experience with Snowflake and its tooling (Snowpark, Snowpipe, etc.). Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL frameworks and tools. Understanding of DataOps, data mining, and data visualization/BI more »
for deep learning framework (TF-light, GGML, ONNX, ...) Excellent Python programming skills Expert in at least one popular machine learning framework such as Pytorch Knowledge of real-time audio signal processing and/or real-time machine learning Proven experience of applying and optimising AI/ML techniques and more »
maintain pipelines for data acquisition, cleaning, and preprocessing to ensure high-quality input for models. Utilise popular ML models and ML frameworks like TensorFlow, PyTorch, or Scikit-learn to create and train models. Work within a team to integrate ML models into larger systems, ensuring that models interface seamlessly with more »
Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: £65,000-£90,000. Equity ownership in the company. Comprehensive benefits package. HOW TO APPLY Please more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: £65,000-£90,000. Equity ownership in the company. Comprehensive benefits package. HOW TO APPLY Please more »
Key Experience: Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent more »
Hampshire, South East, United Kingdom Hybrid / WFH Options
JLA Resourcing Ltd
with our AR solutions. Solid background in machine learning and AI, particularly in an AR setting. Proficiency in utilising machine learning frameworks like TensorFlow, PyTorch, and programming languages such as Python, Java, and C++. Demonstrated capability in leading and overseeing a team of developers. Bachelor's or Master's degree more »
model development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge and experience more »
related domains. Leadership experience in managing technical teams. Familiarity with NLP, GANs, VAEs, and other generative AI techniques. Skills: Strong programming skills (Python, TensorFlow, PyTorch, etc.). Strategic thinking and ability to align GenAI initiatives with business goals. Excellent communication and stakeholder management skills. more »
needs of users, creators and content stakeholders Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine more »
technologies e.g. linux, python, bash, docker, kubernetes, jenkins Extra Kudos if you have Previous role as an MLOps engineer Use of ML frameworks e.g. pytorch, tensorflow Familiarity with MLOps platforms e.g. Kubeflow, MLFlow, Tensorflow Extended, ClearML, VertexAI, Amazon SageMaker Experience deploying ML models in production environments Benefits We provide: Competitive more »
of ML development and deployment in a commercial environment Understanding of hardware AI accelerators architectures Embedded AI Applications C/C++, Python TensorFlow and PyTorch What’s on offer? Competitive base and stock options Hybrid or remote within NL (minimum quarterly visits to the NL HQ) And more! Interested? This more »
and interest in adapting state of the art AI and NLU algorithms for high-performance applications Experience with mobile products C++ or Python OpenCV PyTorch, TensorFlow Fluent English, German is a benefit! What’s on offer? €75-100k <20% bonus And much more! Interested? This is a great opportunity more »
of technologists. About you: 5+ years experience in software engineering or data science with a focus on machine learning Experience in the python library - Pytorch, Pandas, Numpy, Tensorflow, Scikit-learn Experienced working in a microservice-based architecture# Experience working with Docker or Kubernetes Strong interest in ML and keeping up more »
Dataflow, BigQuery, and Cloud Storage. Proficiency in programming languages such as Python, Java, or Go. Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Salary and Benefits: Competitive salary based on experience, with a salary range up to £92,000. Comprehensive benefits package including health insurance more »
Oxford, Oxfordshire, South East Hybrid / WFH Options
IC Resources
architect, in the domain of specialized hardware platforms and preferably for AI processors Deep understanding of AI model architectures, algorithms, and frameworks (e.g., TensorFlow, PyTorch) and their integration with specialized hardware platforms Experience with tools and libraries for AI model quantization, compression, and optimization to maximize performance on specialized hardware more »
