1 to 25 of 55 Permanent 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 ...

taking a different approach to AI. Rather than relying on off-the-shelf products, we build our own enterprise-grade AI and machine learning solutions, tailored to the unique needs of our business and the 30,000+ colleagues who use them every day. As our investment … function within Iceland, responsible for delivering solutions across all areas of the business. Our AI Squad focuses exclusively on developing enterprise-grade AI and machine learning capabilities. The team has grown significantly in recent years, and we now operate in agile squads, each owning its own workstream ...

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 ...

opportunities, define project requirements, and drive initiatives that push the boundaries of data-driven solutions in aerospace. You'll leverage Python and lmachine learning frameworks to build scalable AI algorithms, process complex datasets, and create impactful reports and visualizations for stakeholders. Your expertise will ensure robust, compliant AI solutions … skills in Python; knowledge of R, SQL, or other languages is a plus Strong analytical and problem-solving mindset ideally focused on AI and machine learning Ability to communicate complex concepts to non-technical audiences Good project management skills, able to handle multiple projects concurrently Attention to detail ...

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 ...

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 ...

looking for a Predictive AI Operations & Knowledge Lead to raise AI and Machine Learning capability across the Group. This role focuses on turning emerging practice into practical, reusable knowledge, driving consistency, and accelerating adoption across all entities. This is an individual contributor role initially, with scope to build … team as the capability grows. What You’ll Be Doing Lead the development of the learning ecosystem across AI and advanced analytics, including communities of practice, showcases, and reusable use case libraries Translate AI and Machine Learning strategy into clear, practical guidance teams can adopt locally Drive ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

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 ...

design, and machine learning. Design and run experiments, iterate based on results, and document and share learnings with the team. Use pre-trained ML models, and train or fine-tune models on internal datasets with proper evaluation and validation. Communicate regularly with team members, the team lead, and cross … data science or a related field (Master's degree preferred).Proficient in at least one programming language—ideally Python—with experience in common ML libraries. Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs).Comfortable working with relational, NoSQL, and graph databases. Strong data-processing skills, including ...

will work hybrid in one of our hub locations (North Wales or Crawley) and you will be working alongside our teams of data engineers, machine learning engineers and software developers. Key ResponsibilitiesImplement cloud architecture in Viridien and client cloud environments, translating designs into working, production-grade deployments Build … Additional InformationHybrid working available from North Wales or Crawley. Opportunity to work across both Viridien and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *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 … 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 ...

maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies … Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements ...

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 ...

data standards and definitions Business Intelligence tools Knowledge of NHS administrative systems. Experience of Developing & contributing to Warehouse Design Experience of NLP, AI and Machine Learning Essential Aptitude and abilities Essential Good data interrogation, visualisation and presentation skills, Strong written and verbal communication skills Strong information modeling skills ...

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. ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

including semantic modelling, DAX, and the design of executive‐ready dashboards and reports for non‐technical audiences. Demonstrable experience applying LLMs and/or ML to real workflow problems — e.g. document extraction, classification, summarisation, retrieval‐augmented generation (RAG), structured output generation. Familiarity with the wider Microsoft 365 and Power Platform ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

performance and diagnostics/observability for system-level softwareExperience collaborating across teams on system integration and software releases for complex systemsExperience delivering AI/ML capabilities in productsUX skills including wireframing, prototyping, and user flow designMinimum QualificationsBachelors degree (required) with significant relevant experience; Masters or advanced degree (desired) with relevant ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...