601 to 625 of 815 Data Science Jobs in London

overcome the problem 2. Artificial intelligence ethics - Demonstrates knowledge and application of moral principles, guidelines and techniques to inform the development and responsible use of artificial intelligence technology 3. Data analysis - Collects, analyses and interprets data to reach conclusions and/or present insights and findings 4. Data wrangling - Cleans, manipulates, and transforms data from one … and valuable 5. Statistics - Applies the right statistical methods or formulas to solve problems or analyse a situation 6. Statistical Algorithms - Understands and uses algorithms to gather insights from data Secondary Skills: 1. Communication - Communicates with clarity and precision, presenting complex/technical information in a concise format that is audience appropriate 2. Negotiation & influence - Engages in discussion to More ❯

directorate of the Deputy Chief Executive Office. The mission of the PTT Sub-directorate is to enable NHS England to drive innovation and improve lives through greater use of data and technology and to be a well-run organisation. The PTT Sub-directorate will enable and promote public trust in NHS England's custodianship of staff, workforce and patient … work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

Azure, and the second around Copilot. Key Criteria: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry, Microsoft Azure ML Studio or using Copilot . Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on More ❯

Do you know what it takes to succeed in global technology, quantitative finance, or data-science? So do we. Our 10-year track record of working with the best candidates is proof of our quality over quantity approach. Were looking for people we can work with long into the future. Could you be one of them? A couple More ❯

Consultant Step into a role where youll collaborate with some of the brightest minds in the tech industry. Specialize in the booming fields of Software Development, DevOps & Infrastructure, and Data Science , positioning yourself in markets brimming with opportunity. With transparent career progression, you could rise to Managing Consultant within just two years . Founded in 2012, this company More ❯

models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps More ❯

models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps More ❯

models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps More ❯

models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps More ❯

highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design, and Python-based development, along … architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment). … Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making. Implement MLOps pipelines for continuous training, deployment, and monitoring of models. Ensure compliance with data privacy and security regulations (GDPR, etc.). Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. 7+ years of professional software More ❯

clients. What are they looking for? Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products Previous experience as a Data Scientist or ML Engineer Fintech/B2B/SaaS experience would be highly desirable Strong understanding of AI/ML concepts, workflows, and responsible AI practices Comfortable leading teams More ❯

clients. What are they looking for? Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products Previous experience as a Data Scientist or ML Engineer Fintech/B2B/SaaS experience would be highly desirable Strong understanding of AI/ML concepts, workflows, and responsible AI practices Comfortable leading teams More ❯

clients. What are they looking for? Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products Previous experience as a Data Scientist or ML Engineer Fintech/B2B/SaaS experience would be highly desirable Strong understanding of AI/ML concepts, workflows, and responsible AI practices Comfortable leading teams More ❯

clients. What are they looking for? Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products Previous experience as a Data Scientist or ML Engineer Fintech/B2B/SaaS experience would be highly desirable Strong understanding of AI/ML concepts, workflows, and responsible AI practices Comfortable leading teams More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯