526 to 550 of 1,153 Machine Learning Jobs in the UK excluding London

PEOPLE is seeking an experienced AI and Machine Learning Team Leader to oversee the delivery of innovative AI solutions within the travel industry. In this role, you will drive the development of scalable AI products, overseeing a team of engineers and managing multiple high-impact initiatives. The ideal ...

Site) Salary: up to £54,000 per annumStudy Group attracts a diverse, international student body seeking high-quality teaching, combined with an industry-focussed learning experience and strong employability opportunities within London’s dynamic, professional environment.The University of Huddersfield London Campus is an exciting new academic institution … London Campus. ABOUT THE ROLE Design teaching material and deliver across a range of modules or within a subject area using appropriate teaching learning support and assessment methods to ensure student’s progress Design, mark and give feedback on appropriate formative and summative assessments, providing opportunities for students ...

United States Digital Space LLC is building a multinational Machine Learning Hardware Architecture team in Cambridge to craft the direction of ML technology. You will develop tools that expose hardware features and evaluate performance, collaborating with hardware architects to define software interfaces for new features. The role emphasizes ...

Engineer in Birmingham to lead AI projects that enhance program delivery. The role demands a strong background in software development, particularly in Python and machine learning systems. Ideal candidates should possess a Bachelor's degree or higher and 5+ years of relevant experience, alongside practical skills in large ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Proven ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience in developing, debugging and automated ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry and IT systems Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Hands ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

Analytics Customer Insights CRM Billing & Charging BSS/OSS Digital Channels & Self-Service APIs & Systems Integration Cloud Data Platforms (AWS, Azure or GCP) AI, Machine Learning or Advanced Analytics Key Skills Product Strategy Product Roadmaps Scrum Agile Delivery Data Products Data Platforms Customer Data Analytics Product Discovery Backlog ...

Azure DevOps, Git, APIs, and Agile methodologies Desirable: Microsoft Fabric Azure Data Factory Azure Functions Power Apps Power Automate SSRS/SSIS AI and Machine Learning exposure. Why Join Us? At Ascent, we pride ourselves on creating a supportive, inclusive, and collaborative environment where your contributions truly make ...

projects. About You You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Proven ...

architecture, development, integrations, security and operations. You'll work alongside two developers, one focused on full stack delivery and one focused on AI and machine learning features, while still writing code yourself, owning the Azure DevOps and AKS infrastructure, and setting the technical direction as the business works ...

making platforms measurably better, you’ll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

cloud technologies and cloud-native development patterns Knowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobile Ability to work effectively within large, collaborative teams to achieve shared organizational goals Passion for building an innovative, inclusive engineering culture ...

platforms, with enough technical fluency to partner effectively with engineering and analytics teams. Some other highly valued skills may include: Experience applying AI and machine learning within enterprise‐scale products. Background in financial services or other highly regulated industries where data products are central to business value. Familiarity ...

automation, CI/CD and DevSecOps. Data and AI adoption. Experience of leading data-enabled services and introducing emerging technologies, including artificial intelligence or machine learning, with appropriate attention to governance, assurance, security and ethics. Commercial and supplier awareness. Experience of working with third‐party suppliers and platform ...

approach to discovering new pharmaceuticals. As a Solution Architect, you will champion the adoption of modern pharmaceutical development systems including High Performance Computation, AI & Machine Learning, Electronic Lab Notebooks, and Laboratory Execution systems to enable drug discovery and development in areas such as bioinformatics, computational chemistry, genomics ...

team within AI Foundations. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery‐focused team that sits ...

solutions that enable analytics, automation and AI-driven business outcomes. You will develop Snowflake-based data platforms to support reporting, data science and ML workloads, and create automated data pipelines with governance. You will collaborate with stakeholders, promote best practices in SQL, Python, data modelling and AI development, and drive ...

effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability ...

product performance analysis. • Build recommendation models, segmentation solutions and AI-powered product features. • Develop lightweight data products, automation and proof-of-concepts. • Apply ML and LLMs to improve customer experiences and internal workflows. • Present clear, data-driven recommendations to senior stakeholders. Requirements • 6+ years' experience in Data Science/Decision ...

fast feedback loops, and clear rollback mechanisms. Champion DevOps best practices across engineering teams - documentation, runbooks, and post-mortems. MLOps Support the operationalization of ML models - model versioning, experiment tracking, and deployment workflows. Work with data science teams to configure MLOps tooling such as Vertex AI, MLflow, Kubeflow, or similar ...

Analysts, and commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. ...