51 to 56 of 56 Machine Learning Jobs in the City of Westminster

inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational models. Your work will involve delivering synthetic datasets for key Android … more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: Master ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle exposure ...

implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into … methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator Comfort working across research and data engineering contexts — this role spans all three Experience with Docker ...

work on proposals with your technical skills Use your expertise to provide some thought leadership Significant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi cloud with strong AWS depth). Deep understanding of AI/ML … environments to enterprise ready architectures, balancing speed, robustness, and long term maintainability. Strong background in cloud security, networking, and cost optimisation for AI/ML workloads. Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams. Qualifications Essential criteria ...

will partner with cross-functional teams to understand user behavior, run experiments, and apply statistics to improve engagement and bookings. You will develop production ML/NLP models, design end-to-end data pipelines, and mentor peers while collaborating with Product and engineering leadership to shape roadmap through data storytelling. ...

Murphy AI, a UK-based AI voice recovery platform, is seeking a Data Scientist to build the ML brain that decides who to contact, when, and how often, while respecting legal limits. You own the data problem and shape models behind every agent interaction. You'll collaborate with product, engineering ...