1 to 25 of 62 Machine Learning Jobs in the City of Westminster

Paddington, United Kingdom Hybrid working from home and Central London Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies. As part … their audio technology research team, you'll be responsible for: Carrying out research on deep learning audio Evaluating and testing AI and ML models Implementing and training models Model research, implementation, training, evaluation and inference Writing reports and research papers With several products already on the market and thousands ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high … Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer ...

this role, you will: Lead and develop a team of analytics managers and senior analysts, creating an environment of collaboration, accountability, and continuous learning Partner with VP/SVP-level stakeholders within B2B’s Commercial Operations and Partner Experience team to influence organizational strategy, translating complex business challenges into … delivery of multi-year analytics roadmaps and programs, ensuring alignment with business objectives and measurable impact Guide teams in applying advanced analytics techniques, machine learning concepts, and statistical methods to create meaningful change for our B2B partners Establish best practices for analytics engineering, model development, and data visualization ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning ...

Share Senior Research Engineer, ML Lead, Health Frontiers Google London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Share Senior Research Engineer, ML Lead, Health Frontiers Bachelor’s degree or equivalent practical experience. 5 years of experience … training dynamics). Domain knowledge for health or fitness, combined with experience in scientific study design and causal inference. Record of influential research, deployed ML systems, open-source contributions, or technical leadership in an advanced ML organization. About the job The Health Intelligence team is focused on developing frontier technologies ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

research, road-mapping, and engineering work to deliver world models. When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously. Artificial intelligence will be one of humanity … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, Machine Learning ...

client is a leading British bank. Join us at our client as an Integrated Financial Crime Model Developer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. You will work within the Integrated Financial Crime portfolio … robustness, accuracy and performance of existing models. To be successful in this role, you will have experience in the following areas: Strong experience in machine learning and advanced analytics. Advanced Python skills for data processing and model development. Proven experience working with Databricks. Solid software engineering practices, including ...

seeking a Senior Machine Learning Scientist You'll play a key part in designing, building, deploying, and operating production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases In this role you'll: Design, build, deploy, and operate production … grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/CD, automated ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related … Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience. 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow). Experience in one core area: Reinforcement Learning (RL), Post ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective … effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. ...

York. In this role, you'll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate … successful in this role, we're seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding ...

deployments, ensuring they meet our customers’ requirements and align with best practice. Deliver secure and compliant AI engagements: leveraging Agent 365, Azure OpenAI, Azure Machine Learning, and Microsoft Cognitive Services tailored to client business needs. Monitor evolving: data privacy and AI compliance regulations (e.g., GDPR, AI Act, HIPAA … ensuring our organisation is a forerunner in the AI race. Required Skills & Expertise: Deep experience implementing Microsoft Purview, M365 Copilot, Agent 365, Cognitive Service, Machine Learning, and similar. Strong understanding of data protection and governance across cloud and hybrid deployments. Strong understanding of regulations and frameworks (e.g. GDPR ...

plus the option to buy extra holiday What you'll be doing.... • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk … ability to explain technical work clearly Experience with Emblem, Radar, Excel VBA or similar pricing software would be advantageous, as would knowledge of machine learning techniques and pricing optimisation. Why you'll love this job... • A team of experienced pricing specialists who make training and supporting new joiners ...

coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact ...

Investment platform data solutions Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing … implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. xehkeey We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

Learning, Mathematics, or a related technical field, or equivalent practical experience. 3 years of experience in Python programming. 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow. Preferred qualifications: Master's degree or PhD in Computer Science, Engineering, or a related field with a focus … machine learning. Experience in Python and C++ for high-performance ML library development. Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation. Experience working directly on AI safety, or responsible AI research. Experience building evaluation frameworks, benchmarks, or automated testing pipelines ...

translate them into clear business outcomes Desirable experience Experience working within financial services, fintech, banking, lending or property technology Experience delivering AI or machine learning products Knowledge of modern data architecture and cloud‐based data platforms Experience working with APIs, data pipelines or data products Understanding of Agile ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience ABOUT US Our client ...

digital products for architecture, design, and the unbuilt environment. We are pioneering the future of real-time 3D experiences by fusing cutting-edge generative Machine Learning with immersive rendering technologies. Our projects span architectural visualization, software, interactive simulations, and creative media. We have studios in New York, London ...

operate within our risk appetite. You will collaborate with stakeholders to develop and implement solutions that support our commercial goals, harnessing artificial intelligence and machine learning. Your work will contribute to a culture of integrity, innovation, and excellence. Job Responsibilities: Support and drive adherence to data risk management standards ...

software architecture, technology stacks, cloud and mobile computing, technical debt, functional and non-functional roadmaps, hosting, cybersecurity, databases, data and analytics, and AI/ML technologies. Experience assessing R&D organizations and software development practices, including testing, quality assurance and continuous integration/continuous delivery processes. A solid understanding ...

NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience using Machine Learning and building solutions. Experience working with systems (e.g., Linux, Unix, Windows). About the job gTech’s Professional Services team takes a creative ...

senior and lead analysts by building pipelines, preparing reports, and visualisations Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models and integrate with external vendors, and make our risk assessment models faster. Building the framework for managing risk and customer experience ...