1 to 25 of 39 MLOps Jobs in the UK excluding London

datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong analytical and problem-solving abilities, with the capability to work on complex issues and drive innovative solutions. Deep understanding of more »

learning: supervised & unsupervised · Instruct external annotators and manage annotation tasks · Written and verbal communication skills · Presentation skills Desirable skills · SQL · Cloud: AWS · Programming languages · MLOps processes and tools · Interest in the dairy industry is useful · Team leadership or mentoring experience What we’ll offer you in return Full-time, Permanent 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, 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 »

MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior 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 »

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 »

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 »

techniques as well as evaluating metrics to drive optimizations using tools like Elastic stack, Prometheus, Alibi detect, etc. A solid background in DevOps and MLOps practices, and familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts. Proficiency with pipeline orchestration tools, such as 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 »

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 in deploying models into business processes, preferably in the healthcare, insurance or financial more »

would be an advantage. Other languages such as C# would be beneficial but not essential. · Machine Learning and Data Science Tools - Any experience in MLOps and productionising data science initiatives would be beneficial. Data Analysis and Storytelling - Proficiency in interpreting data analysis results and drawing meaningful conclusions Please don't 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 »

Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience 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 »

highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer Science or a related field Salary: £70,000 - £100,000 DOE 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 »

🧠 Machine Learning Ops Engineer Are you ready to leverage AI for unforgettable customer experiences? 🔍 We're hunting for a Machine Learning Engineer to join our pioneering team, shaping the future of customer interaction through NLP and Machine Learning Ops. Your more »

and apply it to business needs. Experience with modern technologies like Cloud native, containers and serverless technologies. Desirable Knowledge of frontend technologies and frameworks MLOps knowledge Benefits 27 days of annual leave Healthy half (0.5 day leave every 6 months for wellbeing) Leave- study/volunteer/reserve forces Pension 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 »