26 to 50 of 106 Experimental Design Jobs in London

main projects in parallel - Focus on project delivery BASIC QUALIFICATIONS - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information More ❯

version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular … microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI More ❯

of AI supported by new hardware and develop your skills in that area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and More ❯

version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular … microservices. Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for performance and accuracy. Understanding of statistical analysis and experimental design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI More ❯

version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular … microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI More ❯

role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highly self-sufficient, and be able to span … accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in … pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Required/Minimum Qualifications Bachelor's Degree in More ❯

skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools #J-18808-Ljbffr More ❯

Skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools About Us J.P. Morgan is a global leader in financial services, providing strategic More ❯

reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data … generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications. Establish and disseminate technical … activities. Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes More ❯

reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data … generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications. Establish and disseminate technical … activities. Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes More ❯

interface with qubits. This role is a unique chance to work at the bleeding edge of technology development where you will investigate and optimise the performance of innovative circuitsand experimental quantum dot devicesto tackle the engineering challenge of implementing a large-scale quantum computer in silicon. This is a rare and exciting opportunity to be an early employee at … will suit someone with a strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team … integrated circuit designs through full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving More ❯

an opportunity to push the boundaries of what causal modelling can achieve in complex, high-dimensional, and noisy real-world systems, and to see your work tested directly in experimental biology. Your responsibilities Collaborate with domain experts to translate biological hypotheses into formal causal modelling problems. Design and implement causal learning approaches that capture regulatory logic, cell … fate trajectories, and intervention effects from diverse biological data, including single-cell perturbation experiments. Develop models that go beyond correlation, focusing on generalisation, counterfactual prediction, and experimental design. Collaborate with experimental teams to design and validate computational hypotheses via iterative strategies that inform or guide the next experiment (lab-in-the-loop). Evaluate models not More ❯

between technical AI capabilities and practical business applications, using bespoke coding and modern low-code/no-code automation platforms in an ever changing marketing landscape. KEY RESPONSIBILITIES Design and build intelligent workflow automation solutions for media and marketing teams using AI-powered tools and frameworks Develop POCs that demonstrate how AI can streamline content creation, campaign management … applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media consultants and clients to ensure seamless integration of your solution to create More ❯

directly with business stakeholders to translate between data and business needs - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED QUALIFICATIONS - Experience managing, analyzing and More ❯

scaffolding, prompting. Broad experience in empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced with pragmatism, and willingness to More ❯

that shape business strategy. If this interests you, please keep reading below for more information Responsibilities Design and analyse causal inference experiments using both randomized and quasi-experimental methods Develop conformal prediction models to quantify uncertainty in machine learning predictions Identify and account for confounding variables in observational studies Create and apply statistical frameworks to estimate causal … effects accurately Collaborate with product, engineering, and business teams to design rigorous experiments Present insights and methodologies in a clear and actionable way to stakeholders Translate complex data challenges into impactful, data-driven solutions Qualifications … Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise 3+ years of hands-on experience applying statistical methods to real-world data Deep knowledge of experimental design and observational study techniques Strong understanding of conformal prediction theory and applications Proficient in Python or R, with experience in statistical and machine learning libraries Familiarity More ❯

building, programming, and using a quantum computer pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a Machine Learning Scientist in the AI for Quantum team, you will design ML experiments in collaboration with ML engineers and quantum scientists. You will … lead the development of tools and frameworks applying AI techniques to quantum computing to solve complex problems, such as circuit optimization, quantum algorithm design, and error mitigation or correction strategies. You will have access to Quantinuum’s high-quality quantum computers. Your work will focus on AI models working synergistically with quantum computers to solve problems inaccessible to More ❯

investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve … work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design More ❯

Designing, building, programming, and using quantum computers pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a Machine Learning Scientist in the AI for Quantum team, your role involves designing ML experiments in collaboration with ML engineers and quantum scientists, developing tools and … quantum computing, and solving complex problems in the quantum stack. You will have access to Quantinuum’s top-tier quantum computers, with applications including circuit optimization, quantum algorithm design, and error mitigation or correction strategies. As a Machine Learning Engineer, you will utilize state-of-the-art methods alongside quantum scientists to solve problems such as circuit compilation More ❯

operational picture which enables both autonomous systems and end users to complete their missions. WHAT YOU'LL DO Contribute to the full software development lifecycle, including requirements analysis, design, coding, testing, and deployment. Deploy these approaches to operational settings, by moving features along a release process that starts in simulation and ends running in an embedded and operational … context. Research and adapt SOTA perception algorithms - everything from lit. review, through training and evaluation, to optimisation and deployment. Design and develop robust and efficient C Rust software for multi-sensor, multi-target tracking & estimation problems MLOPS - build and maintain automated, scalable infrastructure to manage our data and run our experiments Design experiments, data collection efforts More ❯

and provide recommendations. - Extract complex data from large-scale Redshift databases using efficient queries. - Develop metrics tracking and automate scheduled report refreshes (daily, weekly, monthly, and quarterly). - Design and implement robust, extensible, and scalable solutions. - Ensure data accuracy and reliability while adhering to globally standardized definitions. - Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) in delivering BI … of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information More ❯

and marketing/creative agencies - MBA, Master’s or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience - Experience in ad measurement, predictive analytics, experimental design, A/B testing - Experience and familiarity with AWS stack - Fluent in French or other European languages Amazon is an equal opportunities employer. We believe passionately More ❯

directly with business stakeholders to translate between data and business needs - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED QUALIFICATIONS - Experience managing, analyzing and More ❯

accuracy. Preferred Qualifications - Experience working in a consumer technology, content, or creator economy business. - Background in building predictive models or recommendation systems. - Familiarity with A/B testing and experimental design. - Strong communication skills, with the ability to simplify complex topics for non-technical audiences. - Knowledge of the livestreaming industry or digital content ecosystems is a plus. About TikTok More ❯

cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions More ❯