15 of 15 Remote/Hybrid Machine Learning Jobs in Wales

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 ...

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 #J-18808-Ljbffr ...

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 ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

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 ...

heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo … where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these ...

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 UK growth … 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 ...

diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self‐development. Experience with agile delivery‐lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through … development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days ...

Monzo is seeking a Lead Machine Learning Scientist for its FinCrime team. You will lead development and deployment of advanced ML models to detect financial crime, protecting customers while optimising costs. The role includes mentoring others and collaborating with product managers, engineers and designers in an agile setting. … will work on real-time models, including neural networks and graph-based architectures, and help drive ML tooling and practices across the team. #J-18808-Ljbffr ...

direction and partner with senior stakeholders to place data at the heart of decision making. You will guide experimentation, causal inference, statistical modeling and ML efforts, ensuring rigor and translating insights into product and customer impact. #J-18808-Ljbffr ...

based, hybrid work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs, and partner with product and engineering to deliver production-ready models across AWS and Azure, improving compliance and safety outcomes. ...

.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 ...

discipline or equivalent experience Extensive experience in B2B technical sales or solutions engineering. Technical Skills Strong grasp of the Defense industry technologies (AI/ML, cybersecurity, networking, cloud). Ability to conduct system architecture reviews and translate specifications into Business value. Sales Skills Solution selling methodology. Negotiation and contract management … work in fast paced environment. Willingness to travel internationally. (Customer sites, Trade Shows, conferences). Experience working with or familiarity with AI/ML models is preferred. Additional Information This role is part of our Mission Systems International team . As such the role could be undertaken with hybrid working ...

Engineering, and translate complex analyses into practical actions that drive customer and business outcomes. You will leverage experimentation, causal inference, statistical modelling and ML to shape product strategy, while building credibility with senior leaders and guiding teams across the data ecosystem. #J-18808-Ljbffr ...