101 to 125 of 207 Experimental Design Jobs in the UK

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 ...

experience in one or more of: quantitative systems performance analysis, statistical modelling, simulation validation, uncertainty quantification, scientific/HPC software or the theory of experimental design. - The ability to collaborate with specialists and explain both a result and the limits of the evidence supporting it. - Practical experience using … coding agents and checking their output. Experience with model discrepancy, sensitivity analysis, Bayesian methods, surrogate models or sequential experimental design would be useful. So would familiarity with computer architecture or inference systems. We welcome complementary backgrounds: strong systems engineers developing uncertainty expertise, and engineers with modelling ...

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 ...

bring statistical rigour to decisions we'd otherwise make by feel. You size opportunities, design experiments, build models and ship insight that changes what we build next. What you'll build Models that quantify risk, propensity, quality and forecast key business outcomes. Experimentation frameworks used across the group. ...

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 ...

of fibre handling techniques including stripping, cleaving, fusion splicing, polishing, and inspection. Experience supporting customers, manufacturing partners, or product development projects. Knowledge of Design of Experiments (DOE), product testing, and validation processes. Degree, HNC/HND, apprenticeship, or equivalent qualification in Engineering, Physics, Electronics, Photonics, or a related ...

ladder and provide key inputs into company roadmap activities. What You’ll Do: Lead complex scientific research projects from initial concept and experimental design through to implementation, analysis, reporting and technical recommendations. Work with key partners to develop quantum technologies into novel timing applications. What You Need ...

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 ...

between model capability and the value derived from it keeps widening. The reasons are many, from human incentives to org design, but at the core we think it's a technology problem. Hone builds engines: AI systems that you hand a goal, like "keep the recruiting pipeline healthy. … systems from scratch as an engineer, not only papers You’ve run evals and experiments rigorously against production systems Strong fundamentals: ML evaluation, experimental design, statistics, LLM agents You use coding agents every day and still understand every line you ship You build and tinker ...

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 ...

psychology, providing hands-on experience with sensors, data processing, and machine learning in both laboratory and applied settings. The prospective student will design experiments, analyze data, and develop algorithms to advance BCI technologies, with flexibility to tailor projects to the student’s interests #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 ...

research, mentored by experienced researchers. You’ll explore topics like large-scale pretraining, efficient inference, numerics, world models and model safety. Expect to design experiments, implement models, analyze results and present findings, often as #J-18808-Ljbffr ...

Fundamentals. We are particularly interested in developing new machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning ...

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 ...

research, mentored by experienced researchers. You’ll explore topics like large-scale pretraining, efficient inference, numerics, world models and model safety. Expect to design experiments, implement models, analyze results and present findings, often as #J-18808-Ljbffr ...

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 ...