1 to 25 of 70 Machine Learning Jobs in the City of Westminster

assess model performance and guide technical direction. Collaborate with engineers, product managers, applied scientists, and domain experts to translate ambiguous business problems into scalable ML solutions. Contribute to system design, low-level design, API development, and data modelling for production machine learning systems. Build and operate production solutions … using technologies such as Python, TensorFlow, PyTorch, Redis, Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. Lead the end-to-end design, development ...

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 ...

people who thrive at Oritain are motivated by building, improving and creating. They enjoy helping others succeed and are open to feedback and learning, regardless of experience level. They bring energy, curiosity and a clear point of view. They can make progress when information is incomplete and know … balance speed with quality. Key Responsibilities Provide technical leadership across statistical and machine learning projects. Mentor and support other data scientists, helping raise capability across the team. Lead a high-performing, engaged team that delivers meaningful outcomes and contributes positively to Oritain's culture. Partner with stakeholders ...

/Machine Learning Software Engineer to join our team. This role is located in Manchester or London. Role Summary: The AI/ML Software Engineering within the Enterprise Transformation Hub will help drive the acceleration of AI-enabled solution delivery across the ecosystem. This role is responsible … practices that help BNY deliver more integrated and effective AI outcomes. In this role, youll make an impact in the following ways: Leads complex machine learning initiatives with direct strategic impact, applying deep knowledge of machine learning concepts and their practical business applications Directly contributes ...

including deposit analytics, liquidity management, balance sheet optimization, and revenue enhancement. Job responsibilities Lead the end-to-end delivery lifecycle of analytics, AI/ML, and business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization … implementation and adoption of business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics ...

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 ...

Full Stack Engineer - ML Platform, Applied AI in the Doc AI team within Commercial and Investment Banking, you will design and deliver production architectures for AI-powered products and services. You will work at the intersection of software engineering and applied research to translate innovative ideas into scalable, enterprise-grade … learning systems Implement distributed, multi-threaded, and scalable applications Build, test, and deploy highly secure automated pipelines for cloud systems, desktop applications, and ML solutions Apply software engineering and computer science best practices Develop and deploy business-critical, data-intensive applications Leverage foundational libraries and services for reuse across ...

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 ...

data engineering, including one or more programming languages (e.g., Python, Go, Java), and with design patterns, testing frameworks, and API contract design. Experience using machine learning methodologies (deep learning, reinforced learning), model identification, selection and AI operations (e.g., model monitoring). Experience using Generative … + 20% bonus target + equity + benefits Learn more about benefits at Google . Design and build autonomous agentic workflows utilizing machine learning and generative AItechnologies as part of a fully autonomous or human-in-the-loop agentic workflow. Partner with client leads(business user) to identify ...

seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best‐in‐class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering and will share in the ownership and delivery of cutting … edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series ...

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile … Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

York. In this role, youll 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 business … successful in this role, were 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 of how AI can be embedded ...

optimization, or microstructure modeling. Experience across FICC markets or multiple asset classes; outstanding equities specialists interested in transitioning to FICC are encouraged. Familiarity with machine learning, deep learning, or reinforcement learning applied to limit-order-book modeling, execution, or control problems. Research publications, open-source contributions ...

Will Be To Technical Leadership Platform Engineering & AI Infrastructure Design, build, and operate scalable, high-performance services and platform components that expose AI/ML capabilities across Pandora's digital ecosystem. Own and define the standards and governance for Terraform-based Infrastructure as Code (IaC) - ensuring all Azure infrastructure … egress controls, while collaborating with security stakeholders to uphold the platform's overall security posture. Leverage Databricks for big data processing, feature engineering, and ML pipeline support. AI Services & Agentic Development Integrate and operationalise AI services including LLM APIs, vector search, RAG pipelines, embeddings, and multi-layer caching into platform ...

Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted … strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought leader in AI/ML Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organisations through developing ...

teams to integrate AI solutions into business processes. Present research outcomes to stakeholders and at industry conferences. Stay current with advancements in AI and machine learning. Foster a culture of innovation and continuous improvement within the team. Qualifications Ph.D. in computer science, machine … learning, or related fields, or a Master's degree with equivalent applied research and engineering experience. Ability to build and ship AI/ML systems, ideally involving LLMs. Proficiency in Python and modern ML frameworks such as PyTorch or JAX. Hands-on experience across the LLM lifecycle, including fine ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

technical as well as non-technical audiences Over 2 years of experience with Python and SQL Over 2 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python and R Understanding of underlying data systems such as Cloud architectures, Hadoop … Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects ...

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 ...

financial problems Implement guardrails, validation frameworks, and monitoring systems for AI applications Data Engineering & Integration Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content Develop ETL processes for preparing training data and maintaining knowledge bases Create APIs and microservices … governance requirements Stay current with emerging AI technologies and evaluate their applicability to Global Rates business needs Contribute to the firm's AI/ML community of practice and knowledge sharing initiatives Professional Experience Professional experience in AI/ML engineering, software development, or data science roles Demonstrated experience building ...

data science, statistical modelling, or large-scale data analysis. Experience developing front-office applications, automation frameworks, or other business-critical software. Experience building AI, machine learning, or LLM-based solutions. Familiarity with financial markets, electronic trading systems, Equities, ETFs, Delta One products, distributed systems, or KDB+/q. ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...