1 to 25 of 29 Permanent MLOps Jobs with Remote Work Options

and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc are desirable We’ll help you gain Experience working in more »

in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB.Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services more »

agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines. Package Description 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 »

editor of choice Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential.Knowledge of MLOps is not essential, but some awareness of this emerging space is good to have.Experience with Kubernetes is a strong plus Fluency in English Our commitment more »

Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services more »

command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent in utilizing Linux, Docker, AWS, Kafka, and git Consistent practice of best software development methodologies more »

solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. Great people skills will be also vital in the role. You will be working with, and expected to influence, colleagues more »

solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. Great people skills will be also vital in the role. You will be working with, and expected to influence, colleagues more »

its enormous benefits safely.What You'll Be DoingWorking in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and more »

options, generous paid leave, and trips abroad #WhatWillYouBuild Why We Need This Role We are looking for a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting … data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team. We need this role to keep … on development, deployments, monitoring and maintenance from the Intelligent Systems team. The role is needed to effectively plan and execute the roadmap for the MLOps team accounting for data science and product stakeholders, infrastructure and cost constraints. Support the definition of service architectures for new services while continuously working towards more »

RLHF), as well as optimised training procedures (e.g. QLora & Adapters) Comfortable with the machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation, intent 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.) Additional Information Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are more »

Have some familiarity multi-GPU accelerated AI research, particularly using the pytorch framework ● Have worked with containers and their orchestration, as well as other MLOps tasks ● Are familiar with AWS machine learning services ● Worked in a start-up before ● Love plants as much as we do! What we offer ● Competitive more »

employee stock options, generous paid leave, and trips abroad #WhatWillYouBuildWhy We Need This RoleWe are looking for a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting … data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team.We need this role to keep upgrading … on development, deployments, monitoring and maintenance from the Intelligent Systems team. The role is needed to effectively plan and execute the roadmap for the MLOps team accounting for data science and product stakeholders, infrastructure and cost constraints. Support the definition of service architectures for new services while continuously working towards more »

ll be working closely with Data Scientists and Software Engineers to develop and productionise a greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 more »

Prometheus Graphana Cloud provided (preferably GCP but AWS and Azure are also considered) CI/CD with Jenkins or Octopus Nice to have Datadog MLOPS Salary Up to £100K basic + £112.500K RSUs + 7.5% bonus Submit your details for more information about this opportunity. RedCat Digital is acting as more »

We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable more »

Realtime are extremely proud to be partnering with a global tech leader on their search for an experienced Machine Learning Engineering Manager to lead their agile ML Engineering team here in Belfast. This team are providing word class machine learning more »

Python and MLOps Developer - London - Hybrid My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and often ineffective workarounds for collaborations between trusted partners. My client … accelerating the delivery of critical medicines to those in need. Thanks to growth, they're seeking a senior Python Software Engineer with expertise in MLOps and ideally desktop app development to join their Engineering team. This role involves developing a cutting-edge desktop application and its associated Python backend. The … maintaining flexibility and robustness across different environments. Key Technologies Needed for the Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies more »

This remote position is open to any qualified applicant in the United States. It is preferred that a qualified candidate is local to Chicago, Illinois, and they must be open to travel. Please note, this role is not able to more »

Senior MLOps Engineer Contract 4-6 months Fully Remote Start Mid March - 1st April latest We have a need to hire a Senior MLOps Engineer on a 4-6 months contract for a growing Biotechnology company. Your primary responsibilities will include: • Designing and implementing an innovative platform architecture for machine … Working closely with data scientists to comprehend their requirements and ensuring a seamless workflow for model development and deployment. Required Skills Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with more »

while pushing the boundaries of technology.Your key outcomes will be:Building and enhancing our ML platform to enable the smooth operation of ML models.Implement MLOps best practices to improve the development, deployment and monitoring of ML models (including NLP models and GenAI).Providing advice and guidance on ML best practices … best practices and software engineering guidelines.Contribute to the development and enhancing of our ML platform.Mentoring and educating other teams about effective ML practices and MLOps strategies.Systems: GCP services (BigQuery, Cloud Composer, DataForm, VertexAI, etc), GitHub, DataRobot. You’ll be a successful Senior Machine Learning Engineer at OVO if you…Experience … in developing ML models and building training/validation/test datasets.Experience in repeatable cloud infrastructure provisioning, configuration management across the MLOps architecture (including CI/CD pipelines) and database systems.Fluency in Python and SQL.Strong understanding of software testing and continuous integration.Proven ability to deliver high-quality data and software more »

Our client based in Brentford is seeking a Systems Integration Specialist/Senior Software Engineer to join their team.MFK Recruitment has successfully recruited 4 individuals to the team in the past 3 years, all 4 candidates are still with the more »

Data Scientist (Pharma) Fully remote (UK/Ireland/Europe) Salary up to £75k depending on experience MBN Solutions are delighted to have been retained by their client, a powerhouse in the Pharmaceuticals industry, to onboard a talented and innovative more »