17 of 17 Remote Machine Learning Jobs in South Wales

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 ❯

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 ❯

technical depth with strong product instincts, and enjoys turning complex problems into working products. Who You Are You've got 3+ years of hands-on experience in AI/ML - with a solid mix of practical application and research depth. You've worked with LLMs and/or computer vision models in real-world settings, and you know what it … based in (or happy to travel to) either Cardiff or London 2-3 days a week. Bonus points if you also have: A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt … and engineering teams to bring AI features to life Help shape our internal AI practices - from evaluation frameworks to responsible deployment What We Offer Equity options New MacBook Online learning subscription Flexible hybrid working (2-3 days a week in our Cardiff or London office) 28 days holiday (plus your birthday off) Annual pay review Autonomy, ownership, and the 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 ❯

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 ❯

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 ❯

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. This is a great opportunity to apply your knowledge to solutions utilizing Azure cloud technologies, employ modern delivery processes, and work on 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. This is a great opportunity to apply your knowledge to solutions utilizing Azure cloud technologies, employ modern delivery processes, and work on 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 ❯

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 ❯

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 ❯

of creative ideas and capable of teasing out novel ideas and solutions from your team as well. You're data-driven, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can work effectively with a diverse range of people and working styles … intellectually honest about your work's performance, relying on data to measure your success and continually striving for improvement. You're a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience. The interview process: Our interview process usually involves 3 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 … 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 ❯

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. Key Responsibilities Architect and document solutions in a cloud-first environment. Design and configure Dataverse/Dynamics entities and forms. Develop Power 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. Key Responsibilities Architect and document solutions in a cloud-first environment. Design and configure Dataverse/Dynamics entities and forms. Develop Power More ❯

Product Employment Type: Permanent Location: Cardiff, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic asset to deliver actionable insights, enable innovation through ML … Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML/AI capabilities. What that means day to day Architecture & Platform Leadership: - Architect a unified and scalable enterprise data platform supporting structured and unstructured data. - Build a modern Data Lakehouse … self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high 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. Key Responsibilities Lead Agile Delivery : Facilitate core ceremonies (daily stand-ups, planning, retros, reviews) to support team rhythm and continuous improvement. Plan … metrics to improve predictability and performance. Report Progress & Risks : Provide regular updates on progress and key milestones while proactively identifying and addressing risks. Drive Improvement : Foster a culture of learning by promoting agile best practices and removing delivery obstacles. Coordinate Across Teams : Manage inter-team dependencies to ensure alignment and smooth delivery across the wider programme. Essential Skills & Experience More ❯