1 to 25 of 34 Remote Experimental Design Jobs in England

data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and … a scaling startup environment Proficiency with data visualisation tools such as Tableau, PowerBI Degree with 5+ years of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance More ❯

data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and … a scaling startup environment Proficiency with data visualisation tools such as Tableau, PowerBI Degree with 5+ years of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance More ❯

week one. Key Responsibilities Develop and maintain policy impact models (e.g., forecasting volumes, lead times, capacity release). Run scenario and sensitivity modelling to support strategic decision-making. Design experiments to estimate the impact of policy/process changes. Engineer robust data pipelines using SQL/Python on Azure. Co-create dashboards and curated datasets in Power BI. More ❯

with flexible hours and opportunities to contribute to frontier AI evaluation and research. Key Responsibilities Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness. Design and compile ML tasks based on real-world challenges and research competitions. Draft detailed, executable natural language plans for machine learning workflows. Implement and validate research plans in Python … deliver concise, objective feedback. Ideal Qualifications 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. Strong understanding of ML research methodologies, experimental design, and evaluation practices. Excellent analytical and technical writing skills. Experience with reproducibility or benchmarking in ML research preferred. Detail-oriented and able to deliver high-quality … is backed by investors including Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across disciplines — from research and engineering to law and design — have joined Mercor to build the next generation of artificial intelligence systems. More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills, with the ability to More ❯

and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to More ❯

and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to More ❯

and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to More ❯

to self organise and manage stakeholders Demonstration of impact/going above and beyond basic role requirements Desirable DBT Data modelling in a warehouse context Understanding of testing and experimental design Legally authorised to work in the UK Some important stuff we would like you to know To meet our regulatory obligations as a licensed financial services More ❯

bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection architectures , turning proprietary data into interpretable, high-impact models. This is a deep research … role: success will come through rapid iteration, creativity, and scientific curiosity rather than polished productisation. It’s well suited to someone who thrives in a small, autonomous team, enjoys experimental algorithm development, and wants their work to have measurable real-world impact. What You’ll Do Design and implement bespoke anomaly-detection models for bacterial genomes Develop … synthetic and real-world data for validation Ship prototype code to third-party partners for testing and feedback Contribute to broader R&D initiatives such as statistical framework design and data infrastructure development What We’re Looking For Required MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience) Demonstrated ability to More ❯

bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection architectures , turning proprietary data into interpretable, high-impact models. This is a deep research … role: success will come through rapid iteration, creativity, and scientific curiosity rather than polished productisation. It’s well suited to someone who thrives in a small, autonomous team, enjoys experimental algorithm development, and wants their work to have measurable real-world impact. What You’ll Do Design and implement bespoke anomaly-detection models for bacterial genomes Develop … synthetic and real-world data for validation Ship prototype code to third-party partners for testing and feedback Contribute to broader R&D initiatives such as statistical framework design and data infrastructure development What We’re Looking For Required MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience) Demonstrated ability to More ❯

are seeking a highly skilled Member of Technical Staff to lead the development of advanced agentic workflows that will transform how scientists interact with our platform. You will design autonomous systems capable of navigating complex scientific tasks — from retrieving structural biology data to designing molecular binders — entirely through natural language conversation. In this role, you will architect and … looking for innovators passionate about tackling complex challenges and driving global scientific progress. Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You have extensive experience in LLM orchestration, including hands-on use of major LLM APIs and frameworks such as LangChain or LlamaIndex, or you’ve … NLP, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents capable of executing complex research workflows via natural language interaction — from structural analysis to experimental design. Architect end-to-end agentic systems integrating platform capabilities with intelligent decision-making, enabling users to perform sophisticated tasks through simple chat interfaces. Develop knowledge discovery pipelines that More ❯

are seeking a highly skilled Member of Technical Staff to lead the development of advanced agentic workflows that will transform how scientists interact with our platform. You will design autonomous systems capable of navigating complex scientific tasks — from retrieving structural biology data to designing molecular binders — entirely through natural language conversation. In this role, you will architect and … looking for innovators passionate about tackling complex challenges and driving global scientific progress. Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You have extensive experience in LLM orchestration, including hands-on use of major LLM APIs and frameworks such as LangChain or LlamaIndex, or you’ve … NLP, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents capable of executing complex research workflows via natural language interaction — from structural analysis to experimental design. Architect end-to-end agentic systems integrating platform capabilities with intelligent decision-making, enabling users to perform sophisticated tasks through simple chat interfaces. Develop knowledge discovery pipelines that More ❯

to work from our Massachusetts offices at least 3 days per week. In this role, you will: Experiment and optimize: Define clear, measurable hypotheses to improve key metrics, design experiments to validate them, and use insights to drive long-term growth. Lead cross-functional collaboration: Partner closely with technical and business teams to shape strategy and deliver sustainable … to launch. Stay ahead of the curve: Keep a pulse on AdTech trends, competitors, and emerging technologies to inform innovation. Champion customer needs: Collaborate with business and product design teams to identify opportunities and solve for partner and traveler needs across all segments. Measure what matters: Define, track, and influence the metrics that represent auction health and success. More ❯