776 to 800 of 5,292 Data Science Jobs in the UK

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, Master's degree in a quantitative field such as 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 regarding ...

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 sit at the heart … innovation, 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 ...

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 … experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred [Preferred ...

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 ...

description Connect to your IndustryThe financial services industry is experiencing a period of rapid transformation fueled by the power of AI. Deloitte's AI & Data Financial Services team is at the heart of this revolution, empowering our clients to leverage cutting-edge AI solutions to solve complex business challenges … stakeholders and internal teams to understand business requirements and translate them into robust AI solutions.Design, develop, and implement end-to-end AI pipelines, including data acquisition, pre-processing, feature engineering, model training, evaluation, and deployment.Build and maintain scalable and efficient AI models using machine learning, deep learning, and other ...

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 ...

Factory (95009), United Kingdom, London, LondonStaff 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 … 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 ...

design, 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.RequirementsThe 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 Fabric ...

platforms and advanced compute and storage infrastructure across Novo Nordisk’s R&D and enterprise ecosystem. Build the foundations that allow scientists, data scientists, ML engineers, and product teams to accelerate drug discovery, clinical development, and business outcomes through scalable, compliant, and responsible AI. Your main responsibilities include … Drive adoption across research, pre-clinical, clinical, and business functions Architecture and Engineering Lead architecture and engineering teams responsible for AI/ML platforms, data platforms, AI infrastructure, cloud platforms, Kubernetes, and platform operations Deliver secure, scalable, observable, and cost-effective AI services across cloud, hybrid cloud ...

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 ...

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this roleWe 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 … businessDrive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelinesCollaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case deliveryBuild and maintain strong relationships with key stakeholders, including senior leadership ...

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 ...

areTypeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like … experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.About the roleAs a Senior ...

platform and Anaplan’s forecasting solutions. The team is responsible for the production execution of forecasting and predictive models, the MLOps infrastructure supporting our data scientists, and the data processing services that deliver insights to enterprise customers. This role reports to the Director of Engineering for Predictive Intelligence … works closely with data scientists, ML engineers, and platform partners. Your Impact Design and implement scalable, fault-tolerant predictive intelligence services and features as a core contributor to the ML Engine backend. Lead the technical implementation of MLOps capabilities, including model training pipelines, deployment workflows, and runtime infrastructure ...

MLOps Engineer owns how machine learning runs in production at SMG. Working within the Data function, the role takes models developed by our data scientists and turns them into dependable, monitored, reproducible production systems behind SMG's Core Intelligence Services - the forecasting, optimisation and recommendation capabilities that power … retail media networks. This is a platform role. You will design and own the ML platform, tooling and operational standards that the wider Data function builds on, define how deployment, monitoring and retraining are done, and set the engineering bar by example. The outputs of these systems inform commercial ...

solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both … events Embrace continuous learning, creative problem-solving, and a can-do attitude Required Qualifications, Capabilities, and Skills Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification Proven hands-on experience in Python application development Proven hands-on experience developing ...

Flexible Working Options Hybrid Working, Job Share Job Description Summary Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the everchanging needs of our 26 million customers. We’re adopting collaborative, agile ways of working … future of AI-powered analytics at one of the UK’s largest financial services organisations. About this opportunity We’re investing heavily in our data, technology and AI capabilities, transforming how we generate insights, make decisions, and better serve more than 30 million customers. As a Senior Advanced Analytics ...

enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: About the Role As a Senior Forward Deployed … projects. You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi‐agent orchestration/workflows and RAG/SLM finetuning. Responsibilities Lead the technical solution design and implementation of large‐scale Agentic ...

important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers.Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely … with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play ...

important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working … closely with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play ...