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 ❯
language model training Collaborate with researchers to implement novel data processing pipelines Develop an easy-to-use, secure, and robust developer experience for researchers and engineers Contribute to the MLOps best practices at Lila Sciences and write technical documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying 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 ❯
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 ❯
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 ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
ASDA
strong sense of ownership. A numerate degree (e.g. Maths, Stats, Engineering, Computer Science). Desirable: Experience using Databricks or working in a cloud-based environment like Azure. Exposure to MLOps, version control, or productionising models. Experience working with Jira and Confluence in an Agile environment is advantageous. Streamlit, Power BI or other standard BI software experience Experience from outside the More ❯
learning and delivering them from prototype through to production Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps Comfortable working with Docker and containerised applications Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Experience using AWS or similar cloud computing platform Great 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 ❯
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 ❯
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 ❯
version control tools like GitHub. Expertise in data wrangling, modelling, data visualisation, and building end-to-end data science solutions. Experience or familiarity with Databricks, Agile Framework, Asset Bundles, MLOps Stacks, GitHub actions and Generative AI is a plus. Proven ability to balance multiple priorities, manage projects from start to finish, and deliver high-quality results at pace. Strong communication More ❯
Hart, Yorkshire, United Kingdom Hybrid / WFH Options
Cinch Cars
and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel algorithmic approaches. Key Responsibilities: Lead the Data Science Operations Team More ❯
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯
Senior Data Engineer An exciting opportunity has arisen for a Senior Data Engineer to join my clients dynamic and growing data team. In this role, you will work across the full data lifecyclestreaming, enrichment, and curationwithin a cloud-based environment. More ❯
You will be joining the Data Science and Engineering team to help get the most value out of our real-time data streams with a focus on elevating business decisions and ensuring genuine fans have the best opportunity to buy 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 ❯
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges More ❯
MLOPS ENGINEER LONDON - HYBRID £80,000 - £95,000 This is a great opportunity for an MLOps engineer from a DevOps background with ML experience to drive cutting-edge work at a data-driven retail tech start-up! ROLE: In this role you will: Design, deploy and scale on their cloud platform (AWS/GCP) Implement and maintain CI/CD … pipelines Engineering data working closely with the Computer Vision team Deploying APIs and packages Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value. Tech stack: Python, AWS/GCP, Docker, CI/CD, Deep Learning, Kubernetes, DevOps REQUIREMENTS: MSc in a numerical or relevant field is … preferred MLOps experience is required An excellent understanding of DevOps processes and techniques Happy working in a fast-paced environment Any experience working with computer vision engineers is a bonus! How To Apply Please register your interest for this role by sending your CV to Joseph Gregory via the apply link on this page. More ❯
MLOPS ENGINEER LONDON - HYBRID £80,000 - £95,000 This is a great opportunity for an MLOps engineer from a DevOps background with ML experience to drive cutting-edge work at a data-driven retail tech start-up! ROLE: In this role you will: Design, deploy and scale on their cloud platform (AWS/GCP) Implement and maintain CI/CD … pipelines Engineering data working closely with the Computer Vision team Deploying APIs and packages Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value. Tech stack: Python, AWS/GCP, Docker, CI/CD, Deep Learning, Kubernetes, DevOps REQUIREMENTS: MSc in a numerical or relevant field is … preferred MLOps experience is required An excellent understanding of DevOps processes and techniques Happy working in a fast-paced environment Any experience working with computer vision engineers is a bonus! How To Apply Please register your interest for this role by sending your CV to Joseph Gregory via the apply link on this page. More ❯
to stay informed on lower-level work. Required Skills and Attributes: 7 years or more of coding experience, with at least 3 years primarily focused on Python. Knowledge of MLOps principles and practices, especially in implementing them within production settings. Worked on cloud infrastructure (AWS, Azure, GCP) Worked on data-intensive products which are heavy on either volume (big data More ❯
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences More ❯
