9 of 9 Remote Data Science Jobs in East London

About The Role Data Apprenticeship Tutor Home based/travel to site if required Job Summery Teaching Data Apprenticeship programmes at Level 3 & 4 as part of our programme delivery, aimed at empowering individuals and organisations to unlock the power of data. You’ll design and deliver cutting-edge training programs in database design and visualisations using industry … standard software. Finally, you’ll get the opportunity to collaborate with subject matter experts to develop and refine learning content that empowers learners to excel in the evolving data landscape. Role Responsibilities: Craft and deliver immersive and cutting-edge experiences across the Data Science curriculum, captivating learners from diverse backgrounds and organisations. Collaborate and innovate with subject … for our renowned training programs. Fuel your growth by taking ownership of your professional development, ensuring your expertise remains relevant and cutting-edge in the ever evolving field of data science – 3 days of free training on any of our courses available Your Experience/Skills Experience in using data tools such as: PowerBi, Tableau, Data More ❯

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased … becoming the worlds leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your teams projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way … to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take More ❯

platforms. Performance monitoring and KPIs: Define and track key performance indicators (KPIs) to measure the success of the platform, including performance, stability, adoption, and overall business value. Use this data to inform future roadmap decisions. Stakeholder collaboration: Act as a liaison between business units, technical teams (engineering, data science), and other stakeholders to gather requirements, understand pain … or management, focus on AI or software development preferred. Deep understanding of cloud-native AI services (e.g., Azure AI Foundry, Databricks, Microsoft Fabric, Power BI). Strong background in data architecture, governance, and platform integration. Experience managing cross-functional team, budgets, and vendor relationships. Broad knowledge of modern IT delivery methodologies and their implementation within large organizations At least More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

in GCP and AWS Drive end-to-end delivery across experimentation, modelling, MLOps and deployment Set technical direction, mentor teams, and champion best practices Work closely with product and data teams to turn ideas into real-world impact Collaborate with 3rd party vendors to understand drivers for growth and how ML can support achieving this What you bring: Deep … s in particular A track record of shipping robust, high-scale ML systems Strong ownership, strategic thinking, and a passion for solving problems with bespoke solutions using ML and Data Science Knowledge or interest in AI If you're interested in hearing more about the ins and outs of this position, then apply below! Please note: This position More ❯

Working hours may need some flexibility for working across global time zones. Key Responsibilities: Lead and execute compliance programmes across multiple jurisdictions. Drive cross-functional collaboration with Product, Engineering, Data Science, and Policy teams. Analyse risks and implement strategies to ensure regulatory alignment. Communicate programme outcomes to senior leadership and stakeholders. Requirements: 8+ years in programme or operations More ❯

role offers a hybrid working model, based in London. Role Design, develop, and maintain quantitative libraries, models, and tools supporting trading, pricing, and risk management. Collaborate with quantitative analysts, data scientists, and traders to implement and optimise models in production environments. Build and enhance high-performance systems for data processing, pricing, and simulation. Translate complex mathematical models into … ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice. More ❯

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. … millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost and performance. You will work with software engineers to set up modern machine learning … then wed love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support More ❯

financial and crypto markets. 🔹 What you'll do Build and optimize real-time and batch surveillance algorithms Contribute to the design of scalable, low-latency systems Collaborate with quants, data scientists, and compliance experts Enhance and maintain a mission-critical global codebase 🔹 What they're looking for 5+ years' software engineering experience (3+ in financial markets/algos) Strong … coding skills in Java, Kotlin, C#, or C++ (Python a plus) Hands-on experience with real-time data processing & distributed systems Strong understanding of software engineering and system architecture A proactive problem-solver with excellent collaboration skills 🌍 Why Join? Fully remote role with global collaboration Work at the intersection of finance and crypto innovation Be part of a mission More ❯