101 to 116 of 116 Experimental Design Jobs in London

systems enable in practice, including how much they add to existing tools and expertise. Developing threat models grounded in biology, and working with experimental scientists to establish when computational results support conclusions about real-world capabilities or risk. Investigating model behaviour, representations, and generalisation to understand where safety evaluations … Head of AI Research and work alongside researchers in genomics, sequence modelling, and large-scale deep learning, as well as computational biologists and experimental teams across the company. About You You have a strong record of original research in machine learning, AI safety, computational biology, biosecurity, or a closely ...

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 … Build sales capacity, coverage, and quota models that align hiring plans with revenue targets Size and segment the addressable market to inform territory design, whitespace analysis, and account prioritization; design and maintain territory planning Drive the sales forecasting methodology, delivering a defensible quarterly view and improving ...

using SolidWorks, Creo, and AutoCAD/ZWCAD. Support product extensions, drawing updates, and engineering change activities for military and commercial markets. Contribute to design reviews, technical documentation, and product improvement initiatives.Your ideal background:HND, Bachelor's degree, or equivalent qualification in Mechanical, Optoelectronic, Electronic, or a related Engineering … discipline.Typically 2-5 years' experience in Product Engineering, Design Engineering, Sustaining Engineering, or a similar technical role.Understanding of fibre-optic systems, harsh-environment interconnect products, or related technologies.Experience working within regulated or high-reliability industries such as Aerospace, Defence, Industrial, or other highly engineered environments.Knowledge of engineering ...

individuals and for the businesses that train their teams with us. About the role We're looking for a Machine Learning Engineer to design, build and own production ML systems that shape how millions of people learn cyber security. You'll work across LLM-powered experiences, recommendation … senior level, you'll also set technical direction, raise the bar on ML engineering practice and mentor others. What you’ll do Design, build and run LLM applications in production, including RAG pipelines, agentic workflows and evaluation frameworks, with a focus on quality, latency and cost. Evolve Echo ...

without reinforcing bias or repeatedly presenting suggestions customers have already dismissed. What you will do Turn product problems into testable ML hypotheses, then design experiments that compare approaches against clear baselines. Build representative evaluation datasets and workflows, combining measurable checks with human judgement where quality is subjective. Develop … metrics. Help take capabilities from experimentation into production, with regression checks, monitoring, controlled rollouts and clear ways to diagnose failures. Work with product, design and engineering colleagues to interpret customer feedback and translate findings into priorities. Reuse shared AI infrastructure and collaborate with platform teams, while developing evaluation ...

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 … Salesforce ecosystem at Benchling, including deep Salesforce CPQ expertise (product, pricing, quoting, and approval configuration) and its integrations Design, build, and maintain integrations between Salesforce and downstream ERP, billing, and data platforms using Workato, and configure document and contract workflows using Conga Own CI/CD, release management ...

Wise in London is seeking a Lead Data Scientist to join the Receive team. You will drive the design, deployment and monitoring of ML models that improve how customers receive and add money, collaborating with engineering, product, analytics, operations and risk teams. You will analyze large transaction data … design experiments, build scalable pipelines and stay ahead with the latest data science and fraud prevention techniques to ensure strong product outcomes across markets. #J-18808-Ljbffr ...

energy cheaper and more abundant with AI, while building the energy and compute infrastructure that the next generation of AI will need. Responsibilities Design experiments to find the best model and approach for each workload, balancing accuracy, latency and cost. Own our evaluation framework: build high-quality datasets … selection and routing, fine-tuning, reinforcement learning, agent systems or computer use. Strong software engineering skills, including Python and the ability to build reliable experimental and production tooling. Good judgment about cost, latency, reliability and risk, especially when deciding where deterministic checks or human review are needed. Ability ...

what, the why and the how clearly, through crisp, data-led documents and conversations Work with the people closest to you (engineering, design, data) and with execs and other business units such as Operations, Customer Support, Sales and Marketing Influence without authority and build alignment on difficult decisions … problem, and what you chose not to do Comfortable with both qualitative and quantitative evidence: you run user research and also query data, design experiments and interpret results yourself Data-oriented. You use data to understand problems, set goals and measure impact, and can debate approaches with data ...

Software Engineer to join our Activation team. In this role, you will drive understanding of our primary user funnels, as well as design, implement, and report on experiments to increase product adoption and user engagement. If you’re based within a pre-determined commuting distance of one of … fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Drive understanding of our core user flows Design experiments to drive product adoption and increase hobby to pro conversion rates Investigate causes of user churn and pain and work to address them. ...

Create, maintain, and improve computational workflows and algorithms for analysing large NGS datasets, ensuring they meet quality and accuracy standards. Database Development & Curation: Design, build, and maintain databases for storing and accessing genetic variants and related knowledge resources. Data Analysis & Interpretation: Process raw NGS data to identify genomic … ensure compliance with data protection regulations, and support quality management systems. Collaboration & Support: Work with other bioinformaticians, lab scientists, and clinical staff to design experiments, interpret results, and implement bioinformatics solutions into hLab client driven capabilities. Skills & Experiences A Ph.D. in Biostatistics, Bioinformatics, or a related field ...

youCommunicate the what, the why and the how clearly, through crisp, data-led documents and conversationsWork with the people closest to you (engineering, design, data) and with execs and other business units such as Operations, Customer Support, Sales and MarketingInfluence without authority and build alignment on difficult decisionsRequirementsProven … right problem, and what you chose not to doComfortable with both qualitative and quantitative evidence: you run user research and also query data, design experiments and interpret results yourselfData-oriented. You use data to understand problems, set goals and measure impact, and can debate approaches with data scientists ...

horizon problems in biology and scientific research. Build challenging RL environments in which agents reason over biological data, use scientific tools, generate hypotheses, design experiments, and interpret results. Develop reward functions and evaluation frameworks that distinguish genuine scientific progress from shortcuts and reward hacking. Build scalable infrastructure … rollouts, distributed training, and evaluation so that a small, elite team can run ambitious experiments quickly and reliably. Own the full research loop: design experiments, implement methods, diagnose failures, and turn promising results into reproducible improvements. Work closely with scientists to translate difficult biological questions into tasks with ...

leader to own Premium awareness, acquisition, and activation. You will roadmap consumer-facing experiences and drive subscription growth across markets, partnering with product, design, engineering, research, marketing and data science. You will design experiments, analyze funnel and behavioral data, and balance global consistency with local needs ...

people in this role are tasteful and strategic. The role is wide-ranging, covering any mitigation for loss of control risk, spanning the design and implementation of better pre-deployment risk-assessment, control measures, RSI-relevant training interventions, and turning one’s technical work into established institutional practices … hacking, sandbagging, scheming). This includes better understanding monitorability, and e.g. preparing for potential losses of Chain-of-Thought monitorability. Model behavior science : Design experiments and evaluations to understand the extent to which models are problematically misaligned, or their safety-relevant capabilities lag behind dangerous capabilities. This ...

manager) and drive the fix with the right internal team Report progress against weekly active user targets to customer stakeholders and internal leadership Design and Deliver Training Partner with the Implementation team late in each project to lead go-live training, then own the enablement relationship from there … ones that don't, to Product and Engineering Engage Customers and Partner Internally Run working sessions with R&D teams, translating how they design experiments and record results into how they should use the platform day to day Navigate large, multi-divisional organizations where adoption is won site ...