26 to 50 of 94 Machine Learning Jobs in South Wales

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 ❯

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 … Dynamics 365 are a plus. Experience with Power BI or other visualization tools. BENEFITS Company Laptop supplied. 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 ❯

biggest names in the entertainment, 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 generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative 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 driving innovation in AI-driven More ❯

biggest names in the entertainment, 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 generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative 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 driving innovation in AI-driven More ❯

with Women in Tech. We 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 improve the speed, efficiency, and quality of decision-making Work proactively with technical and non … experience using version control tools 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 know us, as much as 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 ❯

highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data science workflows Proven ability to deliver end-to-end data solutions Knowledge of Terraform, Ansible, or similar IaC tools Interested? If you're ready More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

collaborate with cross-functional teams, 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 Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with 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 communication, problem-solving, and attention to detail. Compensation: This is an More ❯

and drive their professional growth 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 • Guide teams to develop metrics … experience in a similar role • 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 processes • Experience mentoring and developing team members Having a background in financial services would be More ❯

and drive their professional growth 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 • Guide teams to develop metrics … experience in a similar role • 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 processes • Experience mentoring and developing team members Having a background in financial services would be 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 ❯

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 ❯

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 ❯

you want to login/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 will be working alongside them … consultancy partners who have recently 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 portfolio optimisation, risk analysis, and … different market conditions and generate 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 learning models using frameworks More ❯

Ofcom, during policy development processes 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 successful candidate will play a … with deep technical expertise and 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). Explore novel and emerging AI/ML techniques that may impact online safety, such as 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 ❯

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 ❯

our growing team. This is 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 with cross-functional teams to define and improve data collection and integration strategies. Assist in creating dashboards and reports using BI tools (e.g., Power BI 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 ❯

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 ❯

and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: 7+ years engineering experience … with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯

someone who has been working within banking or financial sector for some time, but really looking for a more meaningful & purpose-driven business to join. They are investing within Machine Learning & AI to improve digital experiences for their customers, and plan to keep growing the team whilst they move towards their next funding round. The role is remote More ❯