City of London, London, United Kingdom Hybrid / WFH Options
WWT AI Tech
computing (e.g., AWS Certified Machine Learning Specialty). Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow). Working Conditions: Office environment with potential for remote work. May require occasional on call duty or afterhours support for critical issues. How to more »
techniques (e.g., TensorFlow, PyTorch). Cloud and MLOps: Familiarity with deploying and managing models on cloud platforms (AWS, GCP, Azure) and using MLOps tools (MLFlow, BentoML). Ethical AI: Strong understanding of AI ethics in optimization and a commitment to continuous learning. If you are looking for a fast paced more »
experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI) Why work at GlobalLogic. Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering our people more »
proven knowledge of the implementation of Machine Learning models/LLM Models. MLOPs/DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. Expertise more »
of Machine Learning models and Large Language Models, including multimodal LLMs. MLOps/DevOps experience with CI/CD pipelines. Proficiency in TensorFlow, Kubernetes, MLFlow, Kafka, and Airflow. Strong Python skills are essential; experience with AWS and Spark is beneficial. Excellent communication skills and experience engaging with team members and more »
proven knowledge of the implementation of Machine Learning models/LLM Models. MLOPs/DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. Expertise more »
data pipelines and deploying ML models Preference for experience in retail/marketing but not required Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs If this role looks of interest, please reach out to Joseph Gregory more »
not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs If this role looks of interest, please reach out to Joseph Gregory. more »
not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs If this role looks of interest, please reach out to Joseph Gregory. more »
not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs If this role looks of interest, please reach out to Joseph Gregory. more »
Brentford, England, United Kingdom Hybrid / WFH Options
DiverseJobsMatter
experience in developing machine learning models Knowledge and experience of data science libraries such as pandas, scikit-learn, matplotlib, seaborn, TensorFlow, Torch, pySpark ML, MLFlow or other model lifecycle management tools. Experience in developing ML models and understanding the key concepts including regression, clustering, classification and architectures such as neural more »
cutting-edge, AI-powered features, working across the entire product lifecycle from concept to deployment. You'll leverage technologies like LLMs, Python, Kubernetes, and MLflow to build robust tools and collaborate closely with engineers to rapidly prototype and implement solutions. Essential Skills: Hands-on experience deploying ML models in production more »
Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly at henry.clay-davies more »
Familiarity with TensorFlow, PyTorch, Keras, and Scikit-learn Data Engineering: Knowledge of Apache Spark, Hadoop, and Kafka Model Deployment: Experience with Docker, Kubernetes, and MLflow Testing: Knowledge of AI testing frameworks and methodologies Frontend Technologies: Experience with React and TypeScript Financial Services: Experience in the financial services industry is a more »
If you are looking for a role in which you can utilise your experience with infrastructure as code, such as terraform and working with MLflow and Seldon Deploy, then this could be the role for you. You’ll get a highly competitive remuneration and benefits package. This is kept under more »
to independently propose, design, and lead initiatives, guiding a team to achieve these goals. If you have experience with infrastructure as code (e.g., Terraform), MLflow, and Seldon Deploy, this role could be an ideal fit for you. ** Please not, this role does not provide visa sponsorship more »
If you are looking for a role in which you can utilise your experience with infrastructure as code, such as terraform and working with MLflow and Seldon Deploy, then this could be the role for you. Our culture Inclusion & Diversity is at the heart of our business at Ki. We more »
ML Models. ROLE: Apply Machine Learning Engineering projects to industry settings You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of … implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »
Role: As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will … implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »
databases. 5+ years of experience with Python API frameworks (FastAPI, Django, Flask). AWS certifications (Solutions Architect, DevOps Engineer). Experience with MLOps tools (MLFlow, TensorBoard) and containerization (Docker). Requirements: Advanced degree (Master's/Ph.D.) in Computer Science or related field. Experience with Docker, CI/CD pipelines … GitLab), and automation tools. Proven track record of deploying and managing ML models in production with MLOps tools (MLFlow, TensorBoard, Weights & Biases). Strong knowledge of cloud security, data protection, and AWS platforms. Proficiency in Python, with experience in PyTorch and scikit-learn (TensorFlow is a plus). Leadership experience more »
