8 of 8 Machine Learning Jobs in York

Architecture, and Portfolio Management. The role will sit within the Data service vertical, led by a Head of Data Engineering, and reports into the ML Engineering Manager. Machine Learning Engineer We are looking for an experienced machine learning engineer to join a newly formed ML Engineering … will be key to delivering robust, high‐impact machine learning solutions. You’ll be expected to understand and implement methodologies from the ML OPs life cycle. You’ll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly ...

Hiscox is seeking an experienced Machine Learning Engineer to join a newly formed ML Engineering team. You will build and maintain infrastructure to deploy data‐driven models, and develop Python APIs to serve ML models in production within Azure, AWS, or GCP. You’ll collaborate with Data Scientists … Platform Engineers and Developers to ensure scalable, reliable services. The role focuses on production‐grade ML pipelines, model registry improvements, and CI/CD for data science workloads in an #J-18808-Ljbffr ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

beyond pipelines feeding dashboards into a Modern Data Architecture environment. Your QualificationsEducation: Bachelor's or Master's degree, Computer Science, Data Engineering, AI/ML, Math or a highly quantitative field of study. Leadership experience of 12+ years in data and software engineering environments, with at least 5 years … Datawarehouse/lakehouse (AWS Redshift, Databricks), streaming/batch, APIs, data products, ELT, CDC, structured + unstructured data experience. Proven experience with AI/ML engineering and success deploying ML models into production, feature engineering, model serving, monitoring, MLOps. Exceptional ability to translate complex agentic systems, context-engineering strategies ...

.NET Developer - Fastest Growing Social Media Firm - York (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution … user trust What You Will Need Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. AI & ML experience Hands-on exposure ...