4 of 4 Machine Learning Scientist Jobs in the UK excluding London

have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. … we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring More ❯

Senior Research Scientist - AI/ML & Signal Processing Location: Great Baddow (Hybrid, 2 days onsite per week) Salary: Up to £70,000 + benefits We are seeking a Senior Research Scientist to join a growing Data and Decision Support capability within a leading global technology and defence organisation. This role is focused on developing novel AI/ML … algorithms and statistical signal processing techniques , with applications across sectors including space, defence, security, and commercial industries. You'll work at the forefront of innovation, applying advanced machine learning and data science techniques to time-series, sensor and sequential data , delivering high-impact research, prototypes, and demonstrators. You'll also collaborate with academic partners and multidisciplinary teams working … across areas such as radar, sonar, RF, distributed sensing, reinforcement learning, computer vision, NLP, and generative AI. Key Responsibilities Lead delivery of technical research projects, mentoring junior researchers. Develop prototypes, proof-of-concepts, and novel inference algorithms. Produce technical reports, proposals, and present findings to technical and non-technical stakeholders. Contribute to publications, patents, and academic partnerships. Work on More ❯

themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: As a Data Scientist in the Machine Learning Observability & Governance team, you will play a crucial role in enabling Starling Bank to maximally exploit AI in line with its risk appetite … concepts clearly and effectively to non-technical stakeholders, with a passion for explaining data science products and insights. End-to-End ML Lifecycle Ownership: Experience developing and deploying complex machine learning models, owning the entire lifecycle from exploratory data analysis to production monitoring. MLOps Familiarity: Familiarity with GCP's MLOps suite including Vertex Pipelines (or similar platforms). More ❯

collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Senior Research Scientist Requisition ID: 121740 Grade: GG11 Referral Bonus: £5,000 Role and team BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our … interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will work with these colleagues in multi-disciplinary teams. Typical Responsibilities Lead technical delivery of … AI/ML and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Domains of Particular Interest RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar More ❯