1 to 25 of 30 Permanent Machine Learning Jobs in South Wales

role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn … this is the perfect opportunity to kickstart your career. What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work … and selection of relevant input features to improve model performance Model Evaluation : Learn to test models for accuracy, robustness, and fairness using best practices Deployment : Help package and deploy ML models into production using tools like Docker, APIs, or cloud platforms Collaboration : Work closely with software engineers, data scientists, and product teams to integrate ML into real products and services More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead … Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation. Key Responsibilities: Data Architecture Schema & Model Ownership: Design, implement … Maintenance: Establish retraining workflows and manage model updates as systems and data evolve. Cross-functional Collaboration Project Engagement: Work closely with project managers and stakeholders to align data and ML capabilities with new features and strategic initiatives. Requirements Gathering: Collaborate with business teams to define clear, actionable requirements for data pipelines, storage solutions, and ML workflows. If you are interested More ❯

What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You … will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing the companies view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

selling products - we want to solve problems and change lives through Monzo ️ Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our … customers' problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You'll work closely with the Product and Engineering in an agile product environment. You'll champion the use of data … how to build confidence with senior leaders across the business You have strong product knowledge and have built data products previously You have experience working with teams that build ML models and you understand how to build the right data set for ML models The interview process: Our interview process involves 3 main stages. We promise not to ask you More ❯

include: Mining data from a variety of company databases and systems Preparation of data for analysis Data analysis and interpretation, identifying patterns and potential insights Statistical modeling and using machine learning techniques to identify trends and make forecasts Evaluating model performance using different metrics and refining models to improve performance Create visual representation of data to include graphs … science or related field preferred Experienced with database systems, SQL and full proficiency in Power BI Mathematically minded with solid knowledge of statistical methods and probability Experienced with various machine learning algorithms and frameworks Analytical with a sound problem solving ability Task orientated with a solid sense of urgency Excellent communication skills with the ability to explain complex More ❯

VP of AI/ML and Data ?? UK - Cardiff, London or Remote (with occasional travel) ?? £100,000 - £200,000 total package What You'll Do: Define and lead the company-wide AI and data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish a modern data platform … requirements into scalable AI solutions. Champion an AI-first culture , embedding automation and data-driven decision-making across the organisation. What You'll Bring: Proven experience delivering AI/ML capabilities in production , ideally within a SaaS or enterprise setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and More ❯

Overview VP of AI/ML/Data - UK (Hybrid role with offices in South Wales & London). Highly Competitive (circa £100,000 - £150,000) + Bonus + Equity. What You'll Do Step into a senior leadership role with a mission to drive innovation across an AI-powered SaaS platform. As VP of AI, you'll shape the vision … and delivery of embedded AI/ML capabilities that improve real-world decision-making for thousands of users. Working closely with Product, Engineering, and Executive teams, you'll own the AI roadmap and deliver intelligent features, predictive models, and automation at scale. This role has a strong focus on production-grade AI solutions-not just experimentation-so your impact will … and streamlining the platform's AI and data infrastructure, championing MLOps best practices, and aligning technical delivery with strategic goals. What You'll Bring Significant experience leading AI/ML teams in fast-paced, SaaS-driven environments Proven ability to deliver AI capabilities in production, including model training, deployment, monitoring, and lifecycle management Strong technical background across machine learning More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

Ensure robust data governance, security, and compliance. Troubleshoot and resolve complex data issues, delivering long-term solutions. Work with analytics, product, and engineering teams to support advanced analytics and machine learning initiatives. The skills you’ll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of … give back to yourself or your community Cycle-to-work Scheme Pension scheme with employer contributions Life Assurance – 3x base salary Rewards Programme – access to discounts and cashback LinkedIn Learning Licence for upskilling & development Ready to Apply? Please apply with your latest CV. Know someone who’d be great for this role? We offer a referral scheme—just get More ❯

Ensure robust data governance, security, and compliance. Troubleshoot and resolve complex data issues, delivering long-term solutions. Work with analytics, product, and engineering teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of … give back to yourself or your community Cycle-to-work Scheme Pension scheme with employer contributions Life Assurance - 3x base salary Rewards Programme - access to discounts and cashback LinkedIn Learning Licence for upskilling & development Ready to Apply? Please apply with your latest CV. Know someone who'd be great for this role? We offer a referral scheme-just get More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

dream, changed the market for the better, made data intelligence accessible to all businesses big and small but most importantly, opened 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 data into actionable insights that … supplied. Bonus Scheme. 25 Days 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, https://careers.creditsafe.com/gb. Creditsafe is an equal More ❯

in leading AI or digital transformation projects, ideally in manufacturing or FMCG. Practical experience with AI tools like ChatGPT, Microsoft Copilot, and predictive analytics platforms. Familiarity with AI/ML frameworks (e.g., OpenAI API, TensorFlow, PyTorch) and automation platforms. Strong understanding of data integration, APIs, and enterprise architecture. Ability to translate business challenges into scalable technical solutions. Project management expertise More ❯

The desire and drive to learn, develop and create a positive impact as part of a growing internal audit function Strong technical understanding merging technologies such as Artificial Intelligence, Machine Learning, and Robotic Process Automation, with the ability to assess related risks, controls, and governance frameworks. Strong up to date technical knowledge gained from a consultancy firm, bank More ❯

Apache Spark Implement ETL/ELT workflows to extract, transform and load large-scale datasets efficiently Develop and optimize Python-based applications for data ingestion Collaborate on development of machine learning models Ensure data quality, integrity, and performance across distributed environments Contribute to the design of data architectures, storage strategies, and processing frameworks Work with cloud data platforms More ❯

from beginner level all the way 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 2 - CompTIA Data+ CompTIA Data+ More ❯

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

get involved in some awesome tech projects. This is an exciting and rewarding opportunity working with cutting-edge cloud technologies, modern delivery processes, and innovative projects involving AI and ML which provides a dynamic and stimulating work environment. Collaborating with experts in their respective fields enabling you to learn and make valuable contributions to ground breaking projects. My client offers More ❯

Our team is growing, and we’d love for you to be part of the journey. Role Summary You’ll play a key part in supporting our product team — learning the product inside out, assisting with configuration and administration, and helping to deliver high-quality outcomes for our customers in the rail industry. The role would suit someone technically … internal needs. Carry out proactive tasks to assist customers and monitor the performance of our product. Assist the product team in completing validation and ground truth exercises of our machine learning models and positioning data. Personal Qualities and Experience Essential A collaborative, positive & flexible approach. The ability to learn quickly and accurately communicate detailed technical information. Strong interpersonal More ❯