25 of 25 Machine Learning Jobs in Cardiff

chance to shape both models 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 fraud prevention tools and solutions … and non-technical stakeholders Demonstrable 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 is a two way process and we want you to have the time and opportunity More ❯

heart of an exciting journey, 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 role in driving our ambition to build an outstanding software engineering team, environment, and culture. … dives, brown bags, internal tech talks, and cross-team collaboration. Your Skills And Experience Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

deliver change Work closely with Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university … discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar More ❯

deliver change Work closely with Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university … discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar More ❯

changed the market for the better, made data intelligence accessible to all businesses big and small but most importantly, opened up 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 … Company Laptop supplied. 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. Creditsafe is an equal opportunities employer that values diversity. Please More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … 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 and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL 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 models and data warehousing solutions. More ❯

providing data-driven guidance at the most senior levels. You'll lead a talented team of just over 20 analysts, data scientists, and managers, driving advanced analytics, AI/ML innovation, and a culture of insight-led thinking across the business. This role is as much about strategic leadership as it is about hands-on excellence: from scaling self-serve … company-wide analytics strategy, aligning with key business goals and product ambitions. Champion a product mindset and the use of modern data tools and best practices - from AI/ML and experimentation to self-serve analytics and CI/CD. Build scalable, governed analytics infrastructure in partnership with data engineering. Coach, develop, and inspire a high-performing, consultative analytics team … leaders across product, commercial, marketing, and finance, translating insight into strategic impact. Here's a flavour of what your team might work on in a typical week: Launched an ML-powered model to personalise product recommendations and drive up conversion. Ran an experiment with the pricing team to test behavioural response to incentive-based offers. Partnered with the product team More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have … joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud More ❯

Requirements A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience Domain knowledge in fraud prevention, statistical modelling or AI/machine learning is essential Ability to understand and analyse complex data in association with machine learning and AI algorithms Committed to delivering high quality to the users More ❯

changed the market for the better, made data intelligence accessible to all businesses big and small but most importantly, opened up 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 ❯

and dashboards that provide insights and promote rapid, data-driven decisions. Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely You should apply if: What … meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion More ❯

We Are Creditsafe is the world’s most used provider of business credit reports with coverage of more than 430 million businesses worldwide. We deliver actionable intelligence powered by machine learning, AI, and connected data to help companies grow, thrive, and identify opportunities. Founded in 1997, we have offices in 16 countries serving more than 110,000 customers. … Competitive Salary 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 More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You’ll Be Doing Building & integrating AI models – Design, develop, and deploy AI solutions that make a real difference. Optimising … align with business goals. Communication & leadership – Break down complex AI concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch. Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience More ❯

and practices to support iterative and incremental development of digital services, fostering inclusive collaboration, adaptability, and continuous improvement. Aware of coaching approaches that balance guidance and autonomy, supporting diverse learning styles and professional development needs. Familiarity with communicating effectively through accessible presentations, tailored to the audience and the communication environment (face-to-face or online). Desirable Experience in … evaluating or designing AI-driven applications, including integrating machine learning APIs and automation tools and understanding ethical AI considerations and regulatory frameworks for AI deployment. Good understanding of Agile methodologies and their impact on architectural decision-making with experience in Agile backlog refinement. Skills and Attributes Essential Analytical thinking skills to understand complex problems by breaking them down … and risks, and taking action to deliver positive outcomes Creativity skills to generate new ideas and approaches to improve outcomes, remove barriers, and deliver better services, encouraging experimentation, continuous learning, and inclusive collaboration. Cross-functional and inter-disciplinary awareness skills to build shared understanding across functions and disciplines, acknowledging others' priorities, constraints and goals to enable effective, joined-up More ❯

functional team that deals with ambiguity and have experience helping your team and partner team resolve that ambiguity. You have experience with or a strong desire to work with Machine Learning specialists to apply various models (including large language models) to real-world problems. You have demonstrable experience working with stakeholders, especially non-technical stakeholders at the senior … London) We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote More ❯

a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or More ❯

for hundreds of users. You'll become an expert in ePMA data and collaborate with those who want to use ePMA data and with your team members on AI machine learning python projects such as predicting which drugs a patient will need in hospital, who are the patients consuming the most drugs and forecasting drug usage and costs. More ❯

maybe even voice tech, and want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to build. Strong communicator, stakeholder-friendly. More ❯

automation testing using Appium, XCUITest, TestFairy. Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica, Talend, SSIS, Snowflake. AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and IT Consulting Employment Type Full More ❯

tape-out and lab-based silicon validation. Mentor junior engineers and help grow team capabilities. Requirements: Proven experience in digital IC design with a strong background in AI/ML hardware, compute, or DSP architectures. Deep understanding of SoC architecture, PPA trade-offs, and modern design flows. Confident user of Cadence tools and design environments. Prior experience leading or mentoring More ❯