326 to 350 of 1,206 MLOps Jobs in the UK

like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving skills, with the ability to troubleshoot both ML models and data systems. A collaborative mindset and ability to work More ❯

Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you’ll receive from us: No matter where you may be in your career or personal life, our benefits are More ❯

Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you’ll receive from us: No matter where you may be in your career or personal life, our benefits are More ❯

Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you’ll receive from us: No matter where you may be in your career or personal life, our benefits are More ❯

Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you’ll receive from us: No matter where you may be in your career or personal life, our benefits are More ❯

of Machine Learning development lifecycle Hands-on experience in delivering Machine Learning models A basic knowledge of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks About Us Bumble Inc. is the parent company of Bumble, Badoo, Bumble For Friends, and Geneva. The Bumble platform enables people to build More ❯

Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. Experience with simulation and optimization techniques. What you’ll receive from us: We offer benefits designed to support and recognize your contributions, including flexible working arrangements, private medical cover More ❯

Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or More ❯

Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or More ❯

AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability to translate AI solutions into measurable business impact. Why Wowcher is your Next Stop: Our More ❯

SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar), and understanding of best practices for the full software development life cycle. Strong programming skills: Proficient in Python More ❯

our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet More ❯

managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience More ❯

managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience More ❯

managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience More ❯

to AI/LLM projects Proficiency with modern AI/LLM tools and frameworks (e.g. PyTorch, HuggingFace, OpenAI, Mistral, Llama, etc.) Strong Python skills and familiarity with cloud platforms, MLOps, and enterprise tech stacks Experience framing customer problems and delivering impactful AI solutions in real-world settings Excellent communication and presentation skills, able to connect technical capabilities to business value More ❯

SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar), and understanding of best practices for the full software development life cycle. Strong programming skills: Proficient in Python More ❯

or above) in Business, Management, Economics, Finance, or a closely related field, or equivalent professional experience in a consulting If you know some of this, even better: AI, Cloud & MLOps Familiarity Experience on projects deploying AI/optimization solutions on cloud platforms (AWS, Azure, GCP). Data Visualization & BI Tools Proficiency in dashboarding and visualization platforms (Tableau, Power BI, Looker More ❯

UK Work to implement 3rd party data integrations to support internal and external use cases Skills and experience required Experience in any related software/DevOps/DevSecOps/MLOps/AI roles within a regulated engineering environment. CI/CD deployment Software/AI development and deployment in complex programmes Technical Documentation production to a high standard Logical Analysis More ❯

and SDLC concepts in development of an application. Preferred Skills and Experience: Have experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and More ❯

or above) in Business, Management, Economics, Finance, or a closely related field, or equivalent professional experience in a consulting If you know some of this, even better: AI, Cloud & MLOps Familiarity Experience on projects deploying AI/optimization solutions on cloud platforms (AWS, Azure, GCP). Data Visualization & BI Tools Proficiency in dashboarding and visualization platforms (Tableau, Power BI, Looker More ❯

Senior Data Scientist, Creative Optimization Who we are: Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled More ❯

Senior Data Engineer - Greater Manchester An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation More ❯

Software Development Engineer- Finance AI and ML Dev, PXT Finance - ML Forecasting and Core Engineering Amazon Finance Tech team leads innovation to combine data-driven finance with the AI approach driving accuracy, next gen forecasting capabilities, speed, efficiency, and reliability More ❯

Join to apply for the Data Scientist role at Codat Join to apply for the Data Scientist role at Codat Get AI-powered advice on this job and more exclusive features. This range is provided by Codat. Your actual pay More ❯