1,926 to 1,950 of 2,229 Data Science Jobs in London

performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning …/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master\'s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone ...

Engineer to design, develop, and deploy production-ready machine learning solutions that make a genuine impact across defence, government, and national security. Working alongside Data Scientists, Software Engineers, and AI specialists, you'll take projects from experimentation through to production, leveraging modern MLOps and LLMOps practices … Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks such as LangChain ...

experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting‐edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across the full AI lifecycle from … agentic AI. Build AI‐powered applications using Large Language Models (LLMs), orchestration frameworks, and Python within backend and cloud‐based environments. Collaborate with data scientists, engineers, product managers, and business stakeholders to translate complex challenges into impactful AI solutions that deliver measurable value. Develop robust, secure, and scalable ...

experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting-edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across the full AI lifecycle from … agentic AI. Build AI-powered applications using Large Language Models (LLMs), orchestration frameworks, and Python within backend and cloud-based environments. Collaborate with data scientists, engineers, product managers, and business stakeholders to translate complex challenges into impactful AI solutions that deliver measurable value. Develop robust, secure, and scalable ...

platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company’s data and fueled by WRITER’s enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth … development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging ...

Principal Software Engineer, you will bring strong software design and engineering expertise, building reliable systems and production-ready services that turn ideas and data-driven insights into scalable solutions. You’ll work in small, multidisciplinary crews alongside data scientists, product managers, and domain experts, owning the full lifecycle … priorities evolve; bring clarity, structure, and momentum to complex engagements. Lead and mentor across disciplines: Provide technical direction, coach engineers, and collaborate with product, data, and security partners to deliver as one team. Lead complex delivery end-to-end: Coordinate multiple workstreams, manage dependencies, and raise ...

maintains excellent R-based computing environment. Adds missing features to apps and fixes bugs in existing apps. screens the market for supplied data visualization tools and integrates internal/external apps into our working environment. Organizes and performs user trainings and is available for user support on demand. … date with the latest technical possibilities available on the global market. Excellent R and R-shiny knowledge thorough experience in clinical data structures and programming with dataexpert in functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing, cloud-computing, Github ...

team you'll be working with:Senior Content Designer - Strategy and Design - (P3)About NTT DATA and TangityNTT DATA is a trusted global innovator with over 100,000 professionals in 50+ countries. Headquartered in Tokyo, we bring elements of our Japanese heritage, precision, long-term thinking, and social … work across telecoms, financial services, manufacturing, and the public sector, delivering end-to-end services from strategy to implementation.Tangity, part of the NTT DATA Design Network, is a global design studio dedicated to humanising complexity. We combine Strategy, Technology, and Design to create meaningful, inclusive, and impactful services that ...

with teams and operations spanning North America, Europe and Asia-Pacific.The roleData sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.As a Senior Data Scientist … global payment network.At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.What you’ll doLead ...

/Week Onsite) Type: Contract Inside IR35 Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Note: Investment banking … required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta ...

responsible for designing, deploying and optimising machine learning models, LLM‐powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering … deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/ ...

Head of Learning & Development (Global)London, UK About DatatonicDatatonic is a leading global data and AI consultancy, driving business transformation for the world’s most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across Cloud … Data Engineering, Analytics, and Advanced Machine Learning/Generative AI.We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal technical excellence and commercialising ...

Head of Learning & Development (Global) London, UK About Datatonic Datatonic is a leading global data and AI consultancy, driving business transformation for the world's most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across … Cloud Data Engineering, Analytics, and Advanced Machine Learning/Generative AI. We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal technical excellence ...

/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value of new methodologies and algorithms across cross-team domains; Estimate and measure impact; Mentor … junior members in experiment design. Требования Extensive experience with end-to-end distributed data systems, especially ML-centric systems; Previous experience as a Data Scientist in a large-scale product team or business; Excellent Python and Software Engineering knowledge; Ability to work with Java when needed; Demonstrable experience ...

Data Scientist (Python SQL Mathematics) London/WFH to 60kAre you a bright, ambitious Data Scientist with Python and SQL skills seeking an opportunity to work on complex, Greenfield systems using the latest tech, whilst continually learning and improving You could be progressing your career at a hugely … successful European car insurance tech company as they expand their UK presence.As a Graduate Data Scientist you will join the Pricing Engine team with a focus on data modelling and predictive analysis to provide solutions that meet business needs and develop best practises. You'll be collaboratively problem ...

machine learning in financial services. You will lead innovative projects that deliver real business value, working closely with talented colleagues across Product, Engineering, Data, Risk, Compliance, and Operations. We offer opportunities for growth, hands-on technical challenges, and the chance to make a meaningful impact. Your leadership and expertise … modelling, experimentation, and deployment architecture Unblock teams on complex technical issues with hands-on support Build, coach, and develop a high-performing team of data scientists, business analysts, and engineers Establish repeatable practices for data quality, evaluation, deployment, and monitoring Define and deliver the Applied AI/ ...

systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and PMs, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have … disciplinary solutions into play. What You’ll Bring: 5+ years of experience in a high‐impact, production environment as a software engineer Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc. Clean and concise coding style Solid experience with Python Experience working in Linux environment Experience ...

London The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. … battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 80+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance ...

compute, storage, and networking components. Collaborate with cross-functional teams to understand requirements and provide scalable infrastructure solutions. Vertex AI Integration: Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP. Implement and manage machine learning pipelines and models within … Vertex AI environment. BigQuery Storage: Design and optimize data storage solutions using BigQuery Storage. Collaborate with data engineers and analysts to ensure efficient data processing and analysis. Wiz Security Control Integration: Integrate and configure Wiz Security Control for continuous security monitoring and compliance checks within GCP environments. ...

success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi‐disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high‐impact features – we favour a highly iterative ...

models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part … contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs Adapt quickly to changing fraud ...

Location: United Kingdom, London, LondonEmployment type: Full-TimeWork site: 3 days/week in-officeRole type: Individual ContributorTravel: Less than 25%Profession: Research, Applied, & Data SciencesDiscipline: Applied SciencesCompany: MicrosoftOverviewWe are looking for a Senior Applied Scientist with expertise in modern retrieval technologies to help shape the future of Microsoft … realize shared goals. We build on the values of respect, integrity and accountability to create an inclusive culture in which everyone can thriveResponsibilitiesAdvance Retrieval Science Design and run experiments, define offline and online evaluation metrics, and develop scalable retrieval pipelines and models for enterprise-scale search systems. Areas ...

Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights … production-scale delivery in close collaboration with engineering and product teams. Job responsibilities Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc. Formulate problems, generate ...

stakeholders.Contribute to security governance, compliance, and regulatory assessments within financial services environments.Support third-party and supply chain security reviews.Collaborate with cyber security consultants, architects, data scientists, risk specialists, and client teams on complex transformation programmes.Develop expertise in industry frameworks, regulatory requirements, and cyber security best practices.Essential Qualifications:Bachelor … degree in Cyber Security, Computer Science, Information Technology, Engineering, Mathematics, Business, or a related field. Experience in cyber security, technology risk, IT audit, technology consulting, engineering, or a related discipline. Demonstrated interest in cyber security and emerging technologies. Understanding of core cyber security principles, including risk management, defence ...

infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.Implement automated systems for continuous training, validation, and monitoring … troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.Qualifications:Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.3+ years of experience working with machine learning and artificial intelligence technology.Strong understanding of core machine learning ...