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 salary, benchmarked against the market and reviewed annually more »
experience (Docker, Kubernetes, etc.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow Unfortunately sponsorship isn't provided for this role If you are interested please apply here or reach out to morgan.beck@xcede.com more »
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Hargreaves Lansdown Asset Management Limited
Teams to drive innovation and excellence About you Ability to Design and implement MLOps pipelines on AWS Experience with MLOps Frameworks, mainly SageMaker and MLFlow Strong programming experience in production environments (Python) Strong infrastructure knowledge (Terraform) Experience with DevOps tools (Docker, Kubernetes) Experience with integrating with data warehouses (Snowflake) and more »
Employment Type: Permanent, Part Time, Work From Home
Cheltenham, Gloucestershire, South West, United Kingdom
Searchability NS&D Ltd
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 . For more »
Manchester, England, United Kingdom Hybrid / WFH Options
Anson McCade
Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents). • Understanding and application of key considerations for Ethical AI. Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents). • Understanding and application of key considerations for Ethical AI. Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa more »
Strong experience in data pipelines and deploying ML models Preference for experience in retail/marketing Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
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. 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 »
London, England, United Kingdom Hybrid / WFH Options
Harnham
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 »
Guildford, England, United Kingdom Hybrid / WFH Options
Hawksworth
Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras more »
Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
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 a high-performance environment where collaboration and business impact are BAU. Experience more »
Vision applications.• Strong understanding of basic probability concepts.• In-depth knowledge of the machine learning lifecycle and collaboration facilitation.• Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents).• Understanding and application of key considerations for Ethical AI.Benefits:• Base Salary: £45,000 - £75,000 (DoE)• Discretionary Bonus: Circa 10% per more »
Processing and Computer Vision applications.Strong understanding of basic probability concepts.In-depth knowledge of the machine learning lifecycle and collaboration facilitation.Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents).Understanding and application of key considerations for Ethical AI.Benefits:Base Salary: £45,000 - £75,000 (DoE)Discretionary Bonus: Circa 10% per annumDV more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration facilitation. Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents). Understanding and application of key considerations for Ethical AI. Benefits: Base Salary: £45,000 - £75,000 (DoE) Discretionary Bonus: Circa more »
Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »
Cheltenham, England, United Kingdom Hybrid / WFH Options
Anson McCade
Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents). • Understanding and application of key considerations for Ethical AI. Benefits: • Base Salary: £60,000 - £85,000 (DoE) • Discretionary Bonus: Circa more »
Luton, England, United Kingdom Hybrid / WFH Options
Ventula Consulting
practices sch as CI/CD. Experience deploying/monitoring machine learning models and following best practices. The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks. Strong experience with data programming frameworks such as Apache Spark. Understanding of common Data Science and Machine Learning models, libraries and frameworks. more »
DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. … AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML, Databricks MLFlow, LLMOps. Familiarity with data governance, data cataloging tools (Collibra, Talend Data Catalogue). Experience with visualization and reporting tools like Power BI, Tableau, and front more »
Solid knowledge of Data Governance, Data Catalog, and Master Data Management. Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
We are currently recruiting for one of our trusted clients who are look for a Data Engineer. Join our client, a leading player in the pet health services and insurance industry, as they aim to secure the coveted position of more »
work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers and Data … Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy more »