17 MLOps Jobs in the South East

be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/ more »

cloud SDKs and APIs. Deep understanding of AI/ML to enhance pipeline efficiency, with experience in TensorFlow, PyTorch, AutoML, Python/R, and MLOps platforms like MLflow and Kubeflow. Solid background in DevOps , including CI/CD automation with Bitbucket Pipelines, Azure DevOps, and GitHub. Capability to automate the more »

for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors more »

for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors more »

be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as more »

and libraries. Experience with ML experiment tracking and collaboration tools like MLflow and Weights & Biases . A strong foundation in software engineering, DevOps practices, MLOps deployment, and infrastructure management. An affinity for generative AI frameworks and SDKs , such as RAG, Langchain, Semantic Kernel, and tools like MS tooling, Co-Pilot more »

environments, ensuring seamless integration with legacy systems. S trong AI and ML principles , with a track record of model development, deployment, and mastery of MLOps practices. Experienced in crafting enterprise-scale cloud-native AI/ML solutions Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure more »

Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You can 📧 your cv to matt@hawksworthuk.com or message me on LinkedIn. Ideally you'll have plenty more »

Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You can your cv to matt@hawksworthuk.com or message me on LinkedIn. Ideally you'll have plenty more »

Principal AI Engineer – GenAI MLOps and GenAI – Hybrid working As a Principal AI/ML Engineer, are you ready to pioneer the future of GenAI technology? You'll have the opportunity to work on the forefront of GenAI technology, strategizing, building, driving innovation and shaping the future of automation solutions. more »

team members from multidisciplinary backgrounds. Interest in promoting your work and the ways we have solved complex challenges. You might also have Experience in MLOps including experiment tracking and model deployment Experience with current LLM frameworks, such as LangChain and open-source LLM deployment (e.g., llama-cpp, ggml, Xorbits Inference more »

from leading investors so far, with $140 million raised in the last Series C funding round in January 2023. Your Role As a Senior MLOps Engineer you will be responsible for designing and building cloud solutions to support the activities of machine learning engineers across the company. You will build … On a day to day basis you will prototype tools and APIs to allow ML engineers to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service. In developing solutions you will carefully consider the skillset of the end user and design and document tools … accordingly. ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools. In addition to supporting ML teams with their custom MLOps requirements, you will form part of the MLOps platform more »

will be the Senior Product Manager for a group of cross-functional Data Platforms teams within Oxa, incorporating the following key teams: Data Engineering; MLOps; Replay/Simulation as a Service; and Telemetry & Metrics. These teams are located in both our Oxford, UK HQ & Toronto, CA offices and support the more »

CD best practices to increase the efficiency in deployment and management of resources. Experience with building and or using model management tools (e.g. MLflow)& MLOps (model orchestration, updating, etc.) Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to more »

Kudos Will Be Awarded For Experience with efficiently benchmarking and validating synthetic data Familiarity with cloud platforms, preferably Google Cloud Platform (GCP) Experience with MLOps Experience working with driving simulators, autonomous driving software, or traffic modelling Familiarity with C or C++ Benefits We provide: Competitive salary, benchmarked against the market more »

Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Machine Learning more »

ideal Python Engineer candidate will have: · Strong background in Python of Machine Learning or AI · Strong knowledge of PyTorch, Hugging Face, TensorFlow · Experience of MLOps would be a benefit · Experience of working in a small but growing team. What is in it for you? As a talented Python Engineer you more »