1,576 to 1,600 of 2,170 Data Science Jobs in London

meetings as the BIM operational lead.Support compliance of all Information deliverables with HS2 and project Information requirements including the integration of CSM and CDM data and asset UAIDs into graphical models.Support Project and supply chain use of the PIM and AIM CDEs in line with WI requirements including metadata … Interface Manager e.g. Attend interface meetings and track information related actions, Monitor representation of interface requirements within models and documentation.Support coordination of structured asset data delivery: e.g. Monitor progressive completeness and consistency of asset data outputs, Assist in preparation for validation activities ahead of sectional completion etc.Prepare ...

because our product is customer-facing, building and maintaining reliable, trustworthy systems is central to what we do. You will work alongside the lead Data Science/AI engineer and report to the Head of AI Product — both of whom are hands-on developers, so this is very … prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data pipelines. Experience with deployment, Docker, logging and configuration. Understanding of the internal Marsh Tech landscape — OSS2, networking, the Voyager process, and similar ...

anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks. Productionise AI/ML models, collaborate with data science and engineering teams to deploy models in live RAN environments and support clients in building responsible AI governance frameworks. Lead and mentor … world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...

planning, anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks.Productionise AI/ML models, collaborate with data science and engineering teams to deploy models in live RAN environments and support clients in building responsible AI governance frameworks.Lead and mentor teams … world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...

team covering the breadth of the company’s Applied AI division. In partnership with our Business Units, we form multidisciplinary teams and work with data scientists, engineers and delivery colleagues to create durable AI-powered software solutions for clients across a variety of industries. Both product management and design … critical disciplines to create impact with AI. While data science and machine learning offer a powerful means to build insight and predictive capability, those insights are often consumed within a complex operational environment where human and organisational factors determine whether solutions are adopted and ultimately successful. Closing ...

raise performance for our merchants: resolving acceptance-rate issues that originate at the bank level through various types of collaborations, from investigations to proactive data sharing. As a Product Engineer on the team, you will build the foundational layer to productize and scale this value stream. You will design … build and ship agentic workflows, APIs, and internal tools for the team to drive our merchants and issuers performance proactively – as well as the data products we deliver to issuing banks directly. You will own what you build from prototype to production. You will work closely with data ...

priced and dispatched, and how our marketplace operates at scale. This is a high-ownership, high-impact role at the intersection of operations, data, and product and it's one of the most complex and consequential domains in the company.What you will ownYou will lead a domain of five … Domain, ensuring every team is working on the highest-impact problemsManage, mentor, and grow five Product Managers across different seniority levelsPartner closely with engineering, data science, and operations to solve genuinely hard technical problemsBalance chauffeur and partner needs against guest experience requirements, making smart trade-offs at paceStay ...

company Group is seeking a Senior Director, Machine Learning to spearhead ML, data science and experimentation efforts across our Experiences marketplace. You will report to the VP of Engineering and set the technical direction for personalization, ranking, and generative AI, while growing the team and maintaining a strong ...

Description Total Experience: 8+ years We’re specifically looking for professionals with: 2+ years of hands-on industry experience in Gen AI — beyond traditional Data Science, ML or Predictive Modelling At least 2 end-to-end Gen AI projects that they can explain in depth Strong experience with ...

other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today. ...

Quantitative Researcher - FXMillennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics and trader support ...

Quantitative Researcher - RatesMillennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics and trader support ...

talent to solve the most complex challenges in high‐DOF autonomous systems and embodied AI. Expertise areas AI/Machine Learning MLOps Software Engineering Data Science The environment The mission is driven by high‐bandwidth, in‐person collaboration. This is a 5‐day‐a‐week, onsite role ...

join our high profile client.Our client is a well-known technology driven hedge fund, they are known to leverage innovations in technology and data science given them an edge in capital markets. This mid-level role sits in a new Quant Technology.The successful technologists will be interested ...

high profile global quantitative hedgefund client.Our client is a well-known Quantitative hedgefund, they are committed to leveraging innovations in technology and data science to solve complex problems. This I a new expansionary role in London due to an increase in quantitative commodities, Fixed Income (and a small ...

company – Lead AI Solutions Engineer About the job the company delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders ...

Quantitative Finance, Statistics, or a relevant scientific field or relevant work experience Strong mathematical knowledge of financial derivatives pricing and risk management models Good data science experience C++/C#/Java or Python programing skills Experience with SQL Solid numerical programming abilities Excellent attention to detail with ...

assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement.Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations.Ensure ongoing AI performance: Establish ...

assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement. Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations. Ensure ongoing ...

operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many ...

compliance whilst supporting the business with its international growth. Your remit covers legal support to the global digital and technology teams encompassing product, engineering, data science, performance marketing and transformational outsourcing. You will support the business negotiating and drafting a wide range of commercial contracts relating to outsourcing ...

team. You will design, scale, and maintain high-performance MLOps and LLMOps infrastructure supporting our AI-infused scenario planning platform. You will collaborate with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while optimizing GPU utilisation, reliability, and cost-efficiency. #J ...

delivering models to thousands of devices globally and contribute to a platform that compiles models into hardware-specific inference engines. You will work with Data Scientists, Embedded Engineers and Product Managers to enable robust, scalable deployments, automate testing on production devices, and monitor drift, latency and #J-18808-Ljbffr ...

cases. You will shape end-to-end ML deployments and contribute to resilient, observable systems in a global banking environment. You will collaborate with data scientists, platform teams, and governance stakeholders to ensure robust technical designs, clear trade-offs, and compliant implementations that uplift #J-18808-Ljbffr ...

will work across model serving, inference engines, GPUs, and observability to deliver low-latency endpoints and cost-efficient systems. Collaboration with ML engineers, data scientists, and platform teams across partners is key. #J-18808-Ljbffr ...