1,451 to 1,475 of 2,167 Data Science Jobs in London

against each other. You should also be comfortable enough with computer vision (CNNs, vision transformers, detection and segmentation methods) to push back on a data science team's approach when needed. Day to day, you'd be: Taking ownership of the model lifecycle - pipelines, registry, versioning, CI/…/SQS Comfortable working across TOGAF, ArchiMate, C4, UML and BPMN Hands-on with MLOps tooling and platforms - SageMaker, OpenVINO or equivalent Experience architecting data for large volumes of imagery - tiering, retention, lineage, provenance Familiar with the governance side of AI - DPIAs, model documentation, bias and fairness checks Strong ...

applications.Cross-functional collaboration: Take ownership of features from initial concept to launch. You'll work with loose requirements and collaborate with Product, Design, and Data Science to define the necessary technical steps and drive projects forward.Engineering Excellence: Champion core engineering practices. You are passionate about automated testing, ensuring … practices, including a continuous deployment pipeline and thorough production monitoring. Our teams are integrated, working side-by-side with developers, product managers, designers, and data scientists, and we are committed to building a culture of inclusivity and diversity.Benefits of Working at Rover:Long-term incentive plan with a company ...

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 … accurate, consistent,and highly automated. Perhaps unusually we prefer a leader with deep personal interest in the software and technology industry, and ideally some data analytics and software engineering experience. The Cost Accounting Manager will ensure the proper application of cost accounting guidance for public market scrutiny. This ...

wide strategic projects, including new market expansion strategies, global regulatory licensing roadmaps, and cross-functional operating model redesigns. Compliance Transformation & Automation: Partner with Product, Data Science, and Engineering to identify, architect, and deploy AI-driven tools, automation workflows, and scalable tech infrastructure across regulatory and compliance operations. Operating … structure ambiguous strategic questions into clear hypotheses, analytical frameworks, and operational roadmaps. Strong quantitative and analytical capabilities, with a track record of translating complex data into actionable executive insights. Superior communication, storytelling, and executive presence, with experience influencing C‐suite stakeholders and matrixed global teams. Preferred qualifications: Advanced degree ...

systematic exposure. The role sits with the trading team on the bleeding edge of technology as well as execution.This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching … clusterThe most important part of their product will be the enterprise-grade technology platform written in C++ and Python.Quant Developers Must Ideally Have:Computer Science or Engineering degree.Substantial modern C++ programming experienceGood knowledge of design patterns, data structures and algorithmsExperience with multi-threadingExperience working with pricing librariesKnowledge ...

responsible for carrying out collaborative R&D and IP development in cutting edge technologies such as Agentic AI, Neurosymbolic AI and AI for science, in line with UK governments industrial priority areas. You will lead development of research proposals (at Technology Readiness Level (TRL) 3-5) for funders such … ability to present complex issues in a simple way Broad technical architecture and hands-on experience with key technologies in machine learning, deep learning, data science; in terms of algorithms, software tools and hardware Proactive and self-confident, adaptable and able to cope with ambiguity, changing and evolving ...

cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping … long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group ...

global cybersecurity team and P&L. Collaboration, both within our team and with other parts of the business (such are Strategic Communications, Technology and Data Science), are central to how we operate. Our engagements typically draw on expertise from across our business and geographies. As a relatively … risk assessment frameworks (e.g., NIST CSF, CIS, NIST 800-53, ISO 27001) and their unique differences. Awareness of the regulatory landscape and well-known data privacy, cybersecurity, and operational resilience regulations. Preferred QualificationsFamiliar with threat intelligence tools, frameworks, and OSINT. Relevant cybersecurity certifications (e.g., CompTIA Security+, CISSP, ISO, CISM ...

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 … delivery of timely, high quality software You have experience and commitment to agile development methodologies You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree Software development experience in Python or Golang Effective written and verbal communication skills Practical experience with Linux system administration What ...

quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering, ideal for those looking to impact financial technology. ...

Axle Energy is hiring full stack data scientists to own the end-to-end data science lifecycle, from exploration to production. You will build and deploy scalable models that operate in real-world energy markets, while developing a deep understanding of grid dynamics and trading strategies. ...

Group, a global investment management firm headquartered in London, seeks a Senior Market Data Analyst within Data Management to govern investment data used by portfolio managers, researchers, traders, engineers and data scientists. The role combines technical data analysis, market data expertise, operational ownership ...

hackajob is partnering directly with Dunnhumby to hire for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close … closely with clients and internal teams to shape solutions and drive value. You'll sit at the intersection of client delivery, commercial growth and data driven insight, supporting both existing partnerships and new commercial opportunities. This is not a transactional sales role. It combines hands on client management, insight ...

Platform Engineer Role type: Contract Location: London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals ...

Platform Engineer Role type: Permanent Location: London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals ...

Document Verification portfolio. Analyse customer journeys and product performance to identify opportunities to improve verification outcomes. Partner closely with Engineering, AI/ML, Data Science and Design to deliver innovative document verification capabilities. Drive improvements in verification accuracy, customer conversion, operational efficiency and fraud prevention. Work closely with ...

delivery across multiple client engagements.Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments.Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation.Managing and coaching a distributed team of engineers, setting development ...

join the Applied AIML Software Engineering team, collaborating with technology teams across the firm to deliver production-ready models. You will work with Data Scientists to build cloud-based frameworks for hosting models, ensuring SDLC compliance and secure, scalable deployments. #J-18808-Ljbffr ...

digital transformation. You will integrate AI models into production, build CI/CD pipelines, monitor systems, and apply ML Ops best practices. Collaboration with data scientists, software engineers, and product teams is essential to meet business goals. #J-18808-Ljbffr ...

realism.Collaborate with the R&D team to innovate model training techniques.Stay on top of emerging AI research, tools, and workflows, exploring creative implementations.Work with data scientists, software engineers, and product managers to translate project requirements into technical solutions.Continuously monitor and optimise model performance for efficiency and accuracy.Must HaveProven experience ...

years managing other engineering managers or team leads across multiple teams. Experience working in cross‐functional product engineering teams alongside product managers, designers, and data scientists. London‐based, with the ability to work from our London office on a hybrid basis (typically two to three days per week, adjusted ...

+ Bonus We've been retained by a well-known UK consumer brand to hire a Media Measurement Manager for their marketing science team. This is a hands-on, technical role for someone who wants to own how the business proves what's actually working in media. … methods, the bar for what counts as good evidence and use them to bring together everything from brand tracking and econometrics to platform data and campaign results into one clear, trusted picture. A big part of the job is testing: designing and running geo-experiments and other incrementality tests ...

Sony Interactive Entertainment is seeking a skilled Data Scientist to measure impact across PlayStation products, features, and commercial initiatives using experimentation, causal inference and advanced analytics. You will work at the intersection of data science, product and business strategy to deliver high-quality measurement and actionable insights ...

technical buyers as well as senior decision makers; (startup experience is a plus) Strong understanding of modern cloud-native architectures (e.g., Cloud, Kubernetes), observability, data infrastructure Knowledge of or deep familiarity with AI/ML infrastructure is a major plus Prior experience working with engineering or data science ...

world-leading investors, including Energize Capital and Accel. Read more about what we’re building here. About the role We're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from … data exploration to production. Building, optimising, and deploying models that operate reliably at scale Developing a deep understanding of energy markets, grid dynamics, and trading strategies Taking ownership of the full lifecycle of your work, from research and prototyping through to production Writing clean, production-quality code and contributing ...