276 to 300 of 472 Data Science Jobs in London

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. … strong, accurate sales pipeline Ensure pipeline coverage supports revenue targets Identify risks early and take action to manage them Use CRM and available data tools to support planning and forecasting 4. New Business Development Identify and prioritise new CRO and large account targets Develop clear engagement plans ...

Experience designing scalable cloud architectures and integrating with enterprise systems. 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 others ...

Infrastructure as Code (Terraform, ARM, CloudFormation) Programming & Development Strong coding background (e.g., Java, C#, Python, Node.js) Understanding of software development lifecycle (SDLC) Data & Storage SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Desirable skills: BPSS/NPPV or SC cleared Requires both collaboration & client interaction. About Peregrine We build workforces … that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients ...

excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You have 3+ years of hands‐on experience writing production Python code … cases that justify significant investment and strategic partnership. You lead the design and execution of proof‐of‐value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production‐grade ...

more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers. The GMRU COE team is a multidisciplinary team composed of Data Science, Quantitative, and Software Development professionals. … financial risk, and solid software development skills. Bachelor\'s or Master\'s degree in a quantitative or technical field (Mathematics, Physics, Engineering, Computer Science, or a related discipline) Advance knowledge of quantitative finance, particularly market risk and counterparty risk Strong Python programming skills Strong knowledge of database technologies Experience ...

A fast-scaling RegTech startup is seeking a Senior AI Engineer to ensure the quality of AI outputs and design cutting-edge solutions. This role requires a proven record in delivering impactful ML/AI ...

The Company A fast-scaling RegTech startup is looking for a Senior AI Engineer to help shape and scale its next-generation regulatory change management platform, powered by GenAI and automation. Backed by a major ...

United States Digital Space LLC in London is seeking a highly motivated Solutions Architect for UK&I Enterprise who supports pre‐sales with data science and AI expertise. You will design end‐to‐end Data & AI solutions, engage with customers, and guide stakeholders from engineers to executives ...

AI.What you will do:Create high-quality, clear, actionable, “must-have research” content based on research best practices and methodologies in analytics, AI and data science. Specific focus areas will include strategy, business value, best practices, market trends, technologies and vendors.Identify the root cause of a client’s barriers … innovative, thought-leading, impactful, analytically-deep, fact-based research. Specific topics will be Agentic analytics, Decision Intelligence, AI Engineering, Content Management, Analytics and BI, Data Science and Machine Learning.Provide clients and prospects with actionable analytics & AI-centric advice via virtual or face-to-face interactions.Create and deliver presentation ...

Identify high‐value opportunities for AI, intelligent automation, LLMs, workflow redesign, decision intelligence, and agentic solutions. Partner with business sponsors, designers, AI Hub, engineering, data, risk, and platform teams to shape solutions that are valuable, feasible, usable, and governable. Help convert discovery outputs into prioritised product opportunities, build paths … tools, prototypes, and product solutions. Define what should be automated, augmented, escalated, or kept human‐led. Work with technical partners to define orchestration needs, data requirements, permissions, integration considerations, model behaviour, and evaluation needs. Use approved AI tools and methods to accelerate research, synthesis, product thinking, requirements development, prototyping ...

Expedia Group Growth Marketing Technology team seeks a Senior Product Manager to drive data, automation and AI/ML powered marketing tools across global campaigns on platforms like Google, Meta and Apple. You will translate complex concepts into clear requirements and partner with engineering, data science and analytics. You have 8+ years in product management, a strong technical background in data engineering and ML ops, and excellent communication to influence stakeholders. #J-18808-Ljbffr ...

crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research … training to production deployment – that future models follow Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible Mentoring engineers ...

crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research … training to production deployment - that future models follow Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible Mentoring engineers ...

full life cycle. Working with an internationally dispersed team the Lead PHP Developer/Senior Web Developer will: Work with both Project Managers and Data Scientists to define, manage and deliver projects Play a lead role in the architecture and design of web-based systems Develop code within … lesser degree), SQL/MySQL, HTML, CSS and Javascript (inc React.js and Vue.js) Architect, build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines ...

from concept through to market launch and scale Define product strategy, roadmap, success metrics, and go-to-market plans Partner with AI engineers and data scientists to build production-grade AI capabilities Engage directly with senior client stakeholders, from analysts to C-suite executives, translating business challenges into ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with the company’s unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state‐of‐the‐art in AI as applied … that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services ...

working across multiple sectors, tackling social and environmental challenges, improving and simplify the way markets work, harnessing the power of digital transformation and ensuring data is protected and used ethically. Talan provides a range of consultancy and outsourcing capabilities including programme management, market design and governance. We also have … extensive and award-winning capabilities across cyber security, data privacy and digital transformation. We are Great Place to Work accredited. The nature of what we do means we are very much a people business. The contribution every member of the team makes to our diverse range of experience, skills ...

teams, ICBs and partners to create services that fit into real world pathways and local systems, fostering a culture of openness and collaboration Use data to improve lives: use insight and evidence to understand what works, improve services and target support where it's needed Shape the future … well as doing those things that are best done once for the whole NHS. Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms -- enabling us to design and deliver high-quality NHS services. In March 2025, the Government ...

critically important database systems are secure, scalable, and reliable. You'll join a world-class team, applying your expertise to support the high-traffic, data-intensive workloads that power our popular gaming platforms. This is an outstanding chance to create a significant impact within an ambitious and innovative organization. … evolve the architecture of high-performance, highly available MySQL platforms supporting production game workloads. Build database solutions that support long-term data growth, fault tolerance, and operational simplicity. Contribute to technology roadmap planning, capacity forecasting, and architectural decision-making. Proactively identify, diagnose, and resolve database performance bottlenecks across schema ...

operate at massive scale across our supercomputing infrastructure, both on prem and in the cloud. You will work cross-functionally across ML engineering, data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions. In This Role You Will: Enable AI/… Agentic Systems teams for scale – The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads ...

Strong understanding of end-to-end model development and productionisation workflows Experience deploying and managing AI solutions in production environments Proficient in Python for data science, machine learning, and AI development Technical Skills Microsoft Azure AI toolset, including: Azure AI Foundry Azure AI Search Experience with … scalable deployment practices Preferred Experience Building AI agents, RAG pipelines, or enterprise AI applications Working with cloud-based AI/ML platforms and data storage solutions Collaborating with engineering and product teams to deliver production-ready AI systems This role would suit someone who combines strong technical delivery skills ...

quality predictive signals By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities Share and discuss research results, methodology, data sets and processes with other researchers Implement the signals and the relevant datasets within the global execution platform Monitor signal behaviour and model performance … research cycle from signal generation to implementation Your present skillset Min 4 years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task ...

Senior Software Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands … platform. The role Build and evolve backend services powering AI-driven products Focus on scalability, performance, and reliability Work closely with Product and Data Science Contribute to architecture and technical improvements Tech Stack:- Java, Python, AWS, MongoDB, MySQL, Kubernetes, Git What they're looking for: 5+ years' backend ...

engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. What … with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What do we offer: Starting salary ...

golden template' MLOps patterns — model packaging, versioning, monitoring, and compliance gates — that other teams self-serve from Produce technical documentation and runbooks that enable data science teams to operate pipelines without central bottlenecks Communicate parity gaps, governance trade-offs, and migration risk clearly to non-technical stakeholders … CloudWatch/CloudTrail for platform observability and audit AWS Lake Formation and SageMaker Feature Store Amazon VPC/PrivateLink for secure ML endpoint networking Data governance & compliance experience (PII/GDPR) Infrastructure as Code (Terraform/CloudFormation/CDK) What we’ll offer you: We trust people ...