551 to 575 of 4,244 Data Science Jobs in the UK

Salary: Competitive + Excellent Benefits We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate … biology and therapeutic response. This role will focus on uncovering the biological mechanisms that drive treatment response, resistance, and disease progression by integrating multimodal data across discovery, translational, and clinical settings. The successful candidate will work at the intersection of AI, human biology, and drug development, partnering closely with ...

will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands‐on, builder‐focused environment. You will have the opportunity to grow your career while helping advance safe, reliable … build reusable AI engineering patterns, context management frameworks, evaluation pipelines, and production‐ready AI services. You will partner closely with software engineers, AI and data science specialists, and operations stakeholders to identify high‐value opportunities and deliver robust solutions integrated with strategic platforms and operational processes. Job Responsibilities ...

innovative marketing approaches and technology. Make an impact! Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. As a Product owner, you'll play a pivotal role in developing scalable marketing technologies that enhance automation … execution for AI, machine learning, automation, and decisioning capabilities within Growth Marketing Technology, from discovery through production and ongoing optimizationPartner deeply with engineering, data science, analytics, and marketing teams to define scalable solutions across measurement, automation, optimization, and intelligent marketing workflowsLead technical discovery and solutioning by translating complex ...

architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production‐grade AI/ML applications and tools are built, maintained … Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large‐scale production environments. Experience with MLOps ...

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide … enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact ...

About Pangaea Data Pangaea Data (Pangaea) is a provider of a clinically validated AI platform that proactively uncovers care gaps, which cannot be pre-empted or prompted for because they are unknown, thereby delivering reliable, actionable insights that enable earlier intervention, improve quality and patient safety, and make … advanced clinical decision support accessible across both high and low resource settings. Pangaea’s founders Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology)have worked in medicine and computing for over ...

architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production-grade AI/ML applications and tools are built, maintained … Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills: MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large-scale production environments. Experience with MLOps ...

oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers looking to enhance their business or operational outcomes through … support Make meaningful contributions to deep business discussionsAbout the teamGenerative AI Innovation Center What is it? A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. ...

Role AI Engineer-AI Solutions Architect Experience (In Years) 12-15 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. … harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. ...

# AI Growth Leader 1LondonApply for this job* Permanent* Experienced Professionals* Data & AI* ID 558264-en\\_GB## THE ROLE CAN BE BASED: UK, Germany, Spain or Italy.## About the job you are consideringCapgemini's Insights & Data practice helps leading organizations harness data, AI, and analytics to drive … architectures covering agent orchestration, large language models (LLMs), retrieval-augmented generation (RAG), knowledge management, integrations, governance, security, and observability.* Assess client technology landscapes, data estates, cloud platforms, and security frameworks to establish the foundations required for successful AI adoption.* Own solution design activities during strategic pursuits, including architecture, delivery ...

architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data … operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality ...

business through the full digital solutions lifecycle, from identifying process improvement opportunities and developing AI-enabled applications to automating routine activities and delivering data-driven insights. There is a requirement to be onsite in Wallingford for 5 days a week to provide visible, day-to-day support. Key Responsibilities … functional requirements and translate them into practical digital solutions. Identify opportunities to automate repetitive operational activities using AI and workflow automation. Analyse multi-source data to identify trends, opportunities and performance improvements. Develop dashboards, reports and visualisations to support operational decision-making. Support the implementation and testing ...

millions of operational events a year. They invested in and built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing! Squad model: DS, DE, Product and AI Engineering form around a problem … Databricks - not expert level, similar can work but someone who has clear experience with cloud infrastructure MLOps - CI/CD, containerisation, monitoring, evaluation frameworks. Data at scale - large, complex datasets and robust pipelines for training, fine-tuning and inference. Not for: solution architects, software engineers without applied AI, data ...

evolve critical ML systems across training, inference, evaluation, and infrastructure. Architect and build large-scale ML systems including training pipelines, inference systems, and data systems. Implement evaluation pipelines for performance, robustness, safety, and bias. Own production deployment with GPU optimization, memory efficiency, latency reduction, and scaling. Collaborate with engineering … codebase. Own quality in production by building sound evaluations, monitoring performance, and investigating failures post-launch. Own end-to-end ML system execution including data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods. Architect and operate scalable ...

facing, complex and large scale project management Experience building complex highly-scalable systems that involve predictive models or applications of machine learning Experience in data and machine learning engineering and cloud native technologies Eligibility for the UK Security Clearance Preferred Qualifications Master's degree in a quantitative field such … statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3 Experience with software development life cycle (sdlc) and agile/iterative methodologies Experience facilitating discussions with senior leadership ...

facing, complex and large scale project management Experience building complex highly-scalable systems that involve predictive models or applications of machine learning Experience in data and machine learning engineering and cloud native technologies Eligibility for the UK Security Clearance Preferred Qualifications Master's degree in a quantitative field such … statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3 Experience with software development life cycle (sdlc) and agile/iterative methodologies Experience facilitating discussions with senior leadership ...

Meet the Moment with AlteryxWe're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that … curiosity, and excellence, there's a place for you here. Why Join Us? At Alteryx, you'll help some of the world's most data-driven organizations modernize their analytics with AI, automation, and cloud data platforms. This is an opportunity to work at the center of analytics ...

validation phase of the sales cycle, answering detailed RFPs, designing compelling solutions, building out standard integration topologies, and ensuring compliance with enterprise security and data privacy standards. Execute Technical Discovery & POCs: Conduct thorough technical discovery sessions with customer IT and business teams. Own the creation of impactful Proofs … Commitment: Ability and willingness to travel up to 30% annually for on‐site customer discovery and presentation sessions. Education: Bachelor’s degree in Computer Science, Business Analytics, Information Systems, or a related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud ...

investigative thinking, the analyst will produce actionable intelligence, support strategic investigations, and deliver insights that help protect and maximise the value of Sportradar's data,contentand commercial rights. The successful candidate willpossessstrong analytical capabilities, commercial awareness, and a naturally inquisitive mindset, enabling them to transform data into meaningful … processes to improve monitoring, intelligencecollectionand reporting capabilities. Partner with Intelligence Analysts, Investigators and Commercial stakeholders to support complex enquiries and investigations. Work closely with Data Science, Product and Engineering teams to develop scalable analytical solutions. Conduct behavioural, trend and network analysis toidentifyclusters,anomaliesand indicators of misuse. Contribute ...

play a key role in supporting the Trust's Electronic Patient Record (EPR) implementation programme by providing high-quality analytical insight, reporting solutions and data expertise. Working as part of the Trust's intelligence and analytics function, the postholder will support analytical workstreams aligned to clinical and operational domains … developing a deep understanding of services, pathways and organisational data to design and deliver meaningful intelligence products. Main duties of the job Analytical Support & Delivery Support and coordinate analytical work across clinical and operational areas, developing understanding of services, pathways and performance. Work with stakeholders to identify key questions ...

United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation … Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including ...

observable APIs and microservices for AI/ML solutions; Implement CI/CD for ML services and infrastructure as code; Monitor model and data drift and performance; Establish guardrails for safe AI usage, including prompt security, evaluation frameworks, and privacy compliance; Contribute reusable components, documentation, and engineering best practices … Collaborate with data engineers, data scientists, front-end and back-end engineers, and product managers; Evaluate new AI technologies, frameworks, and tooling and provide recommendations for continuous improvement. Требования: Strong Python engineering skills, including FastAPI, testing, and typing; Experience with cloud-native development, preferably GCP; Hands-on experience ...

install, configure and support Microsoft Fabric solutions for our clients across public and private sector environments. This role will support the delivery of modern data platforms, analytics services and integrated data solutions, helping customers make better use of their data through Microsoft Fabric, Power BI, OneLake, Data Factory, Synapse Data Engineering, Data Warehousing and Real-Time Intelligence capabilities. The Microsoft Fabric Engineer carries out the following activities: 1. Microsoft Fabric Design & Implementation Design Microsoft Fabric solutions that align to customer data strategies, business outcomes and technical requirements. Install, configure and set up Microsoft ...

validation phase of the sales cycle, answering detailed RFPs, designing compelling solutions, building out standard integration topologies, and ensuring compliance with enterprise security and data privacy standards.* ## Execute Technical Discovery & POCs: Conduct thorough technical discovery sessions with customer IT and business teams. Own the creation of impactful Proofs … Ability and willingness to travel up to 30% annually for on-site customer discovery and presentation sessions.* ## Education: Bachelor’s degree in Computer Science, Business Analytics, Information Systems, or a related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge ...

organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues … Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands ...