4 of 4 Remote Experimental Design Jobs in Berkshire

data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering … this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: Competitive Salary & Bonus ...

Information Retrieval (Research-Focused) Drive applied research within a production-focused Information Retrieval team. You will: Research and improve retrieval and NLP models. Design experiments, run evaluations, and iterate on modelling approaches. Collaborate closely with engineering to transition research into production. You bring: Strong applied research experience ...

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 … 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 ...

transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR). Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation). API usage & integration: Read docs, consume … Command services). Interview process 30-min intro (role, your goals) Python data task (clean/transform + quick viz) API & systems chat (design a small data pull + retries/observability) Simulation case (parameter trade-offs; short write-up) Stakeholder round (present findings; Q&A) What ...