10 of 10 Machine Learning Jobs in Glamorgan

customers across our diverse suite of UK based products. In this role, you will collaborate with the wider data teams within this area, leveraging machine learning and AI techniques to deliver data driven insights to our stakeholders across the business and provide tailored actions to our customers. With … the customer remains central to everything we do, embedding customer-centric service design, and developing a holistic view of the customer. Key Responsibilities: Building machine learning solutions to solve an array of complex problems across our customer space, including initiatives such as Customer Lifetime Value, Customer Churn, Next … the team forward. Collaborating with the wider Data Science and AI Community, exploring innovative concepts and keeping up to date with technological advancements in machine learning. Working with other senior members of the department to outline and communicate best practices and lead wider department level projects. Skills and Experience More ❯

customers across our diverse suite of UK based products. In this role, you will collaborate with the wider data teams within this area, leveraging machine learning and AI techniques to deliver data driven insights to our stakeholders across the business and provide tailored actions to our customers. With … the customer remains central to everything we do, embedding customer-centric service design, and developing a holistic view of the customer. Key Responsibilities: Building machine learning solutions to solve an array of complex problems across our customer space, including initiatives such as Customer Lifetime Value, Customer Churn, Next … and existing models. Collaborating with the wider Data Science and AI Community, exploring innovative concepts and keeping up to date with technological advancements in machine learning. Skills and Experience: Essential: Consistent track record as a Data Scientist, or equivalent role, with previous experience in customer analytics. Experience in the More ❯

Yolk Recruitment are currently hiring for an ML Engineer on an initial 6 month contract with likely extension. We're working with a growing tech startup based in South Wales that's doing exciting things with data and AI. They're on the hunt for a Machine Learning Engineer to help scale, optimise, and productionise their ML pipelines and infrastructure. This isn't a research role, it's all about getting models into production, making them scalable, maintainable, and deployable across a cloud-first environment. (There is no set budget for this role - Candidates will be submitted … at desired rates with the expectation to be on site once per month or as project dictates) Responsibilities: Design, build, and deploy robust ML pipelines in Python Use Azure ML and Azure Web Apps to host and scale models Automate workflows with Airflow and manage infrastructure with Terraform Version and More ❯

Project Management & Delivery : Manage IT projects to ensure strong delivery on time and within budget, while engaging users to shape expectations and foster innovation. Machine Learning & AI Integration : Lead initiatives on machine learning, automation, and AI to meet PSOW's needs while ensuring accountability, transparency, and More ❯

working with cross-functional teams to deliver high-quality solutions within agreed timelines. Preferred Skills & Experience: Experience with healthcare data analytics and AI/machine learning applications in healthcare. Familiarity with healthcare systems like NHS Digital, EHR systems, or experience implementing solutions in hospital environments. Certification in healthcare More ❯

better, made data intelligence accessible to all businesses big and small but most importantly, opened up new avenues of data intelligence for businesses with machine learning, AI, and connected data. From risk management through to opportunity identification, our industry-leading solutions power decisions for companies by turning their … Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company Pension. Cycle to work and Wellbeing Programme. Global Company gatherings and events. E-learning and excellent career progression opportunities. Plus more that can be found on the benefits section on the Careers page. Creditsafe is an equal opportunities More ❯

projects dealing with different teams and stakeholders PREFERRED QUALIFICATIONS Master's degree in Automation Engineering, Mechatronics Engineering, Electrical Engineering, or equivalent Experience building with Machine learning, IoT, AI platforms More ❯

Online and the broader Microsoft suite, ensuring they meet the evolving needs of the knowledge team. Evaluating and integrating emerging technologies, including AI and machine learning, to improve knowledge management practices and enhance search capabilities. Search Expertise: Leading initiatives to enhance search functionalities within knowledge systems, ensuring that … on progress, challenges, and opportunities to senior leadership and recommend adjustments as necessary. Team Development: Mentor and develop a high-performing team, promoting continuous learning and professional growth. Champion knowledge sharing and best practices within the team and across the organization. Role-modelling Oliver Wyman values. Who We Are More ❯

understanding of Microsoft Server Technology and Hyper-V clustering. * Experience in one or more of the following areas: - Database Architecture - Business Intelligence - Big Data - Machine Learning - Advanced Analytics Benefits: * Public Sector Pension * 36 Days Annuel Leave * Professional Development support If you're looking for a role with a More ❯

the most senior levels. You'll lead a talented team of just over 20 analysts, data scientists, and managers, driving advanced analytics, AI/ML innovation, and a culture of insight-led thinking across the business. This role is as much about strategic leadership as it is about hands-on … with key business goals and product ambitions. Champion a product mindset and the use of modern data tools and best practices - from AI/ML and experimentation to self-serve analytics and CI/CD. Build scalable, governed analytics infrastructure in partnership with data engineering. Coach, develop, and inspire a … and finance, translating insight into strategic impact. Here's a flavour of what your team might work on in a typical week: Launched an ML-powered model to personalise product recommendations and drive up conversion. Ran an experiment with the pricing team to test behavioural response to incentive-based offers. More ❯