51 to 75 of 116 Experimental Design Jobs in London

days remote Salary: £76,000 pa What you'll be doing: Analyse marketing performance, market trends and growth opportunities to inform strategic decisions. Design and evaluate experiments to measure marketing effectiveness and incremental growth. Build dashboards, develop performance metrics and translate data into clear, actionable recommendations. Deliver compelling … Strong background in Marketing Analytics, Marketing Science or Growth Analytics , ideally within big tech, digital platforms or leading agencies. Proven experience in statistical analysis, experimental design and marketing measurement . Strong dashboarding, data interpretation and analytical problem-solving skills. Excellent data storytelling and presentation skills , with ...

Foundation funded project ‘Air Quality Sensor Networks’. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design, and issues in spatiotemporal inference such as non-stationarity and non-separability. Requirements include a PhD or equivalent qualification in Statistics ...

Skills Research experience or experience working in a commercial AI research environment Strong understanding of AI fundamentals and practical experience with data analysis and experimental design Experience deploying AI/ML applications in a production environment Familiarity with distributed computing patterns for training, serving, and persistence of ...

commercial AI research labs, in a Director level or equivalent role Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Proventrack recordof deploying AI/ML applications in a production environmentat scale Familiarity with distributed computing patterns for training, serving, persistence of ...

developing novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision‐language modelling. You will formulate problems, design experiments, and drive your work from prototype through to production‐grade systems that power real‐time spatial intelligence across complex environments. ...

developing novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision-language modelling. You will formulate problems, design experiments, and drive your work from prototype through to production-grade systems that power real-time spatial intelligence across complex environments. ...

combine machine learning, recommender systems and Generative AI to solve real-world customer problems while delivering measurable commercial impact. The Opportunity You’ll design, build and deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered … experimentation, high-quality code and scalable machine learning systems. Skills & Experience Strong commercial experience with Python Excellent understanding of machine learning, statistical modelling and experimental design Experience developing and deploying end-to-end machine learning products into production Knowledge of recommender systems, personalisation, retrieval or ranking techniques ...

data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling ...

analyse and evaluate agentic systems rigorously enough to say where and why they go wrong, and we use what we learn to design better ones. We are not simply building a better harness; the best harness will change with every new model, task and generation of silicon. … Evaluations or benchmarks you built that other people went on to use Broad training in empirical method, potentially from a field outside machine learning – experimental design, Bayesian inference, model selection, significance testing, uncertainty quantification Experience with automated grading and model-based judging, and a rigorous account of ...

data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling ...

five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models. … work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency. 5. Rigorous Experimental Design Controlled Comparisons & Ablations Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual ...

legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks … evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable ...

customer teams toselect research priorities with measurable production impact. Share results throughinternal reports, technical blogs, papers, and open-sourceartifacts, and mentorengineers and scientists on experimental design, scientific rigor, and model/systemtrade-offs. Must-haves APhD in computer science, machine learning, ML systems, computer systems, computer architecture … ability to turn ideas into experiments and working prototypes. Deepknowledgeof LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-servingtrade-offs. Strong experimental designskills coveringablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publicationsat venues such asNeurIPS, ICML ...

decisions. With 5+ years of data science experience and strong communication skills, you will partner with Product and Growth teams to frame problems, design experiments, and deliver data-driven solutions #J-18808-Ljbffr ...

world plants, alongside process and deployment engineers. Flexible working is offered, and equity aligns you with the company’s future success. You’ll design experiments, push the boundaries of learning under uncertainty, and translate #J-18808-Ljbffr ...

program within our hybrid work model. Job responsibilities Perform exploratory data analysis, feature engineering, model development, and evaluation using structured and unstructured datasets Design and build prototypes of agentic AI systems, including multi-step workflows that use tools and reason across tasks Apply and experiment with LLM techniques … such as retrieval-augmented generation, tool and function calling, fine-tuning, and agent harness design Develop evaluation frameworks to measure the quality, reliability, and safety of LLM and agent outputs Collaborate with mentors, business stakeholders, and engineers to turn business problems into AI solutions and help move them ...

Valarian Technologies Limited is seeking an experienced AI Harness Engineer to own the experimental design, evaluation methodologies, and benchmark infrastructure for AI models and autonomous workloads. You will bridge data science, statistical validation, and production agent scaffolding, collaborating across teams in a hybrid London-based setup. … role emphasizes rigorous hypothesis testing, robust metric design, and hands-on Python tooling to advance evaluation pipelines and guardrails for #J-18808-Ljbffr ...

Stealth - AI x Bio is seeking a senior data scientist to own analysis of functional genomics data, collaborating closely with scientists who design and run screens. You will build scalable pipelines across multimodal readouts such as sequencing, imaging and proteomics to derive robust hits … evidence. You will join the intelligence team in London, working hybrid with regular lab time, and you will help ensure data quality from experimental design through to results presentation to leadership. #J-18808-Ljbffr ...

evaluation, and AI engineering to build GenAI capabilities for product contexts. You will collaborate with product, engineering and business teams to frame problems, design experiments, and define success metrics, while shaping AI solutions that are #J-18808-Ljbffr ...

lead modeling efforts, explore new data sources, and collaborate with cross-functional teams to translate business needs into data science problems. You will design experiments, monitor model drift, and deploy improvements in a regulated environment while communicating complex concepts clearly to stakeholders. #J-18808-Ljbffr ...

leading platform for finding a tradesperson, is hiring an Applied Scientist to ensure metric integrity and oversee AI-driven analyses. You’ll design experiments, interpret results, and translate insights into commercially impactful actions. You’ll partner with data scientists and executives to drive a data-first culture. Join ...

grounded AI methods in London. You will explore focus areas from neural memory and optimisation to efficient AI, applying strong math, Python, PyTorch, and experimental design to publish results and contribute to an early-stage lab. Collaboration with a multidisciplinary team and impact on how future models ...

Relay is seeking a Research Scientist to lead causal inference efforts across its live two-sided marketplace. You will design experiments, quantify courier- and merchant-level impacts, and translate insights into production-quality models and optimisations that shape Relay’s network decisions. You’ll collaborate with teams across ...

development or integration tasks on complex projects.Supporting qualification of new process and product developments which includes Substrate & Epi process.Able to plan and execute Design of Experiments.Delivering presentations with findings and conclusions.Implementing technical process development procedures and standards in projects.Acting as technical mentor for less experienced team members.Supporting technical ...

boundaries of what generative modelling can achieve in complex, high-dimensional, and noisy real-world systems, and to see your work tested directly in experimental biology. Day to day, you will Design and implement generative modelling approaches that learn 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 identify the highest-signal next experiment. Evaluate models not just for fit, but for causal ...