1 to 25 of 116 Machine Learning Jobs in Wales

learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities … Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics More ❯

learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities … Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics More ❯

join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You … won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for … optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine More ❯

features. Join Admiral's quest for innovation as we seek a curious mind eager to make waves with advanced analytics. With a passion for machine learning and a drive to stay ahead of the curve, you'll be instrumental in shaping the future as the industry evolves. Data … Claims Departments in Motor and Household, helps provide essential assistance to our customers in their time of need. Admiral is committed to leveraging Data & ML for the greater good, enhancing both customer and employee experiences. Our progressive ethos, core principles, and dedication to diversity and inclusion cultivate an idea-rich … software development tools and version control systems such as GIT Knowledge of DevOps projects and MLOps Experience of thinking about the wider impact of ML models and techniques on the customer and what considerations to put in place Passionate about making a positive difference in the workplace and beyond, with More ❯

features. Join Admiral's quest for innovation as we seek a curious mind eager to make waves with advanced analytics. With a passion for machine learning and a drive to stay ahead of the curve, you'll be instrumental in shaping the future as the industry evolves. Data … Claims Departments in Motor and Household, helps provide essential assistance to our customers in their time of need. Admiral is committed to leveraging Data & ML for the greater good, enhancing both customer and employee experiences. Our progressive ethos, core principles, and dedication to diversity and inclusion cultivate an idea-rich … of software development tools and version control systems such as GIT and knowledge Dev Ops practices. Experience of thinking about the wider impact of ML models and techniques on the customer and what considerations to put in place. Passionate about making a positive difference in the workplace and beyond, with More ❯

and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective … experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or … similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing More ❯

and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective … experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or … similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing More ❯

a fantastic opportunity to contribute to cutting-edge projects in data science, supporting senior team members in solving complex business challenges through advanced analytics, machine learning, and algorithm development. Your Role As a Junior Data Scientist, you’ll work closely with experienced team members on tasks that include … researching new methodologies, writing Python code, and applying machine learning techniques. You’ll assist in developing and validating models, analyzing data, and building tools that empower Altenar’s decision-making. This role is designed to provide exposure to advanced concepts while building a strong foundation for your career. … Key Responsibilities Develop and refine your skills in Python (e.g., Pandas, NumPy) and SQL for data manipulation and analysis. Support the development of machine learning models and algorithms, assisting in testing and validation processes. Contribute to research efforts by exploring and applying the latest data science techniques. Collaborate More ❯

to join our growing Glasgow-based team. This is a chance to be part of a fast-moving, forward-thinking company applying AI and ML to complex operational challenges—making work faster, smarter, and more valuable. What You’ll Do: Develop, train, and deploy machine learning models to … data to create predictive and prescriptive insights Collaborate with analysts, developers, and client-facing teams to deliver impactful solutions Help shape and evolve the ML capabilities of the business, with a focus on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise More ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise More ❯

are looking for talented Data Scientists with experience working in Financial crime and Anti-money laundering to help the bank solve complex problems using Machine Learning. This role will be broad in scope and you can expect to collaborate with many teams in order to advise, support and develop … processes using the most appropriate methodology for the topic in hand. If you love building Machine Learning based solutions in an R&D driven environment then we’d love to hear from you. Responsibilities: You will be part of a team delivering data driven solutions and insights to … such as git Demonstrable experience deploying machine learning solutions in a production environment Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interviewing is a two way process and we want you to have the time and opportunity to get to More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

and industry engagement activities. The purpose and scope of the role We are looking for a technically strong and strategically minded Senior AI/ML Technology Advisor to provide expert guidance on the technical aspects of artificial intelligence and machine learning as they relate to online safety. The … a passion for applying AI responsibly in complex socio-technical environments. Your Key Responsibilities Technical Advisory & Policy Support Provide expert guidance on AI/ML technologies to policy, supervision and enforcement teams. Advise on the technical feasibility and risks of proposed regulatory interventions. Translate complex AI concepts into actionable recommendations … for senior leaders, policy experts, and external stakeholders. AI/ML Research Independently lead AI/ML research projects—ranging from literature reviews of publishable standard to experimental studies — on new capabilities, system performance, safety, and effectiveness, often in collaboration with multidisciplinary internal teams (e.g., lawyers, economists, data scientists). More ❯

and develop data-driven solutions to support our social media app for diverse creators. Responsibilities include developing data analysis strategies, building data pipelines, applying machine learning techniques, creating dashboards, and optimizing data architecture. Responsibilities: Understand business objectives and define analytics goals. Develop strategies using AWS services like Amazon … Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes. Apply statistical and machine learning techniques for analysis. Create dashboards and KPIs for decision-making. Conduct exploratory data analysis to identify trends. Collaborate on data architecture and governance in AWS. Requirements: Bachelor's or master's in … AWS analytics services. Proficiency in AWS analytics tools and programming languages like Python, R, or Scala. Knowledge of data modeling, ETL, data warehousing, and machine learning. Experience with SQL, NoSQL, data visualization, and social media analytics. Familiarity with big data technologies and AWS machine learning services. Strong More ❯

in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy … Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a … view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business More ❯

in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy … Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a … view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business More ❯

in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy … Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a … view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business More ❯

in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy … Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a … view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business More ❯

which makes everything possible. The Senior Manager, Data Science & Machine Learning for Cytiva is responsible for leading a team of AI/ML professionals, providing technical guidance and apply strategic vision to drive projects that enhance business outcomes. This position is part of the Data and Analytics Team … Krakow. At Cytiva, our vision is, to advance future therapeutics from discovery to delivery. What you will do: Lead a team of data scientists, ML engineers and AI specialists, driving innovation by implementing new AI/ML technologies Oversees and coordinates the planning, execution, and completion of AI/ML … audience Coordinate collaboration with multiple technical teams ensuring effective cooperation Who you are: Experienced Project Manager with thorough understanding and passion for AI/ML technology At least 5 years’ hands on experience in AI/ML technologies including but not limited to: Python, R, platforms (AWS, Azure), MLOps models More ❯

crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape … of media. Our team is building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key … team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯