20 of 20 Machine Learning Jobs in Glamorgan

models and systems yourself, and is excited to grow into a broader leadership role.Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.You’ll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou’ll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.Leading the design, build ...

growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications and internal processes, helping shape how clients and contractors get to work faster, stay compliant … Master's degree in Data Science, Computer Science, Statistics or a related discipline A proactive, curious mindset with a passion for emerging AI and ML technologies If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part ...

DescriptionWe are looking for a passionate AI Engineer specialising in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine … evaluate machine learning and deep learning algorithms for Natural Language Processing/Understanding.Assist in the design, development, and testing of ML models and pipelines for real-time processing of unstructured data.Collaborate with senior team members to analyze the impact of algorithm changes.Learn and grow under mentorship, gaining ...

experience in either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. ð You’ll play a key role … by...Leading hands-on independent validation of models used for credit decisioning within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expectedSupporting oversight and validation of broader ...

credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.About the roleThe mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary … expertise also applied to predict and optimise utilisation, pricing, collection and marketing.You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design ...

grow in the UK, expand into new customer segments, and build the underwriting capability needed to scale into Europe.We’re looking for a senior ML leader to help shape that next phase.You’ll lead a high-calibre team of ML scientists and help define Borrowing’s ML roadmap across … advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI. The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

other disciplines (Finance and Credit) to manage peak demand and utilising areas of specific knowledge.Research and learn latest modelling and validation techniques , such as machine learning, to enable expansion of validation capability.Support the effective operation of the Model Risk Oversight Committee as a regular attendee, contributing … statistical techniques for management of risksExperience of managing a modelling project through its full lifecycleStrong technical skills such as SQL or PythonWorking knowledge of machine learning models: gradient boosted trees, etcIf possible, some understanding of some of the following:Customer Risk assessment controls at point of Current Account ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

enable our data driven approach, and:Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.Help define ...

mentoring or coaching other Product Owners would be highly advantageous. Desirable Experience delivering products across multiple countries or regulatory environments. Exposure to AI or Machine Learning within software products. Strong understanding of product analytics, KPIs and outcome-based product development. Technical awareness of software architecture and modern SaaS ...

required.RequirementsExperience recruiting, leading and developing product teams with strong coaching and people leadership skills.Domain knowledge in fraud prevention, statistical modelling and AI/machine learning.Strong product management experience, preferably within a large B2B organisation.Ability to understand and analyse complex data associated with machine learning and AI algorithms.Experience ...

with intention on culture: building a team where we play, where psychological safety is real, experimentation is welcomed, and failure is treated as a learning opportunityCreate the conditions in which researchers can do their best work — protected time, clear priorities, and a management layer that absorbs complexity rather than … tick every box, we’ll help you develop along the way.Familiarity with the kind of problems the lab works on — advanced data science, machine learning, or quantitative methods applied to high-stakes professional judgement — even if you’re not a domain expert yourselfExperience building a function or team ...

Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

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 ...

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs by 2030 and ...

interfaces. You’ll work with teams across Borrowing and Data Platform to define what makes a Borrowing dataset “production-grade” and consumable by analytics, ML, decisioning, and regulatory teams.Building feature stores and reusable analytical assets. Identifying cross-product signals (credit behaviour, repayment patterns, affordability, risk indicators) that should be modelled … design reusable feature layers. You’ve designed, contributed to, or have a clear vision for reusable feature layers that serve multiple consumers, including ML pipelines, dashboards, decisioning engines, and regulatory reporting. You understand the trade-offs between freshness, cost, granularity, correctness, and ease of use.You’re comfortable at the platform ...

.NET Developer - Swansea (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 Developer) Since 2006 our client ...