13 of 13 Experimental Design Jobs in the South East

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full 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, and product teams to build scalable … unable to offer visa sponsorship for 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 : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full 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, and product teams to build scalable … unable to offer visa sponsorship for 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 : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full 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, and product teams to build scalable … unable to offer visa sponsorship for 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 : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯

routes, reduce churn, and enhance customer satisfaction. Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross-functional teams to design experiments and deliver actionable insights. Contribute to AI-driven initiatives, such as chatbots or recommendation engines. Communicate findings clearly to stakeholders and influence strategic decisions. What We're Looking 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 ❯

role qualification requires proficiency in: - Data-driven analysis and reporting - Situational leadership - Consultative skills and client/partner management/advising - Persuasion skills - Business acumen (Analytical drive/Consultant) - Experimental design - Technical acumen (Analytical drive/Consultant) - Process and tools More ❯

role qualification requires proficiency in: - Data-driven analysis and reporting - Situational leadership - Consultative skills and client/partner management/advising - Persuasion skills - Business acumen (Analytical drive/Consultant) - Experimental design - Technical acumen (Analytical drive/Consultant) - Process and tools More ❯

role qualification requires proficiency in: - Data-driven analysis and reporting - Situational leadership - Consultative skills and client/partner management/advising - Persuasion skills - Business acumen (Analytical drive/Consultant) - Experimental design - Technical acumen (Analytical drive/Consultant) - Process and tools More ❯

and business teams - uncovering user behaviour, identifying opportunities, and driving strategy with actionable insights. You will: Leverage quantitative analysis and data storytelling to inform product decisions. Generate hypotheses, design experiments, and champion a culture of continuous learning. Define and align key metrics across teams, ensuring data accuracy and consistency. Build and maintain self-serve data tools and dashboards More ❯

clients in conducting measurement-focused studies. 📋 Qualifications: Proficiency in data-driven analysis and reporting. Strong consultative skills and client management abilities. Effective persuasion skills and business acumen. 💼 Understanding of experimental design and technical tools. Familiarity with measurement processes and analytical frameworks. Join our client in empowering businesses through data-driven insights! If you’re passionate about analytics More ❯

clients in conducting measurement-focused studies. 📋 Qualifications: Proficiency in data-driven analysis and reporting. Strong consultative skills and client management abilities. Effective persuasion skills and business acumen. 💼 Understanding of experimental design and technical tools. Familiarity with measurement processes and analytical frameworks. Join our client in empowering businesses through data-driven insights! If you’re passionate about analytics More ❯

clients in conducting measurement-focused studies. 📋 Qualifications: Proficiency in data-driven analysis and reporting. Strong consultative skills and client management abilities. Effective persuasion skills and business acumen. 💼 Understanding of experimental design and technical tools. Familiarity with measurement processes and analytical frameworks. Join our client in empowering businesses through data-driven insights! If you’re passionate about analytics More ❯

you'll do: Develop, optimise and characterise plasma etching processes such as RIE and ALE in silicon nitride and related materials and with a focus on nanophotonics devices Design and execute experiments to understand etch mechanisms, selectivity, and profile control for nanoscale structures Utilise process simulation tools (e.g., Coventorware, Sentaurus, SEMuator 3D or similar) to model and predict … lithography, magnetron sputtering, PECVD, etc. Employ a range of metrology techniques (e.g., SEM, AFM, ellipsometry, reflectometry) for in-depth characterisation of material properties and measurement of nanoscale geometry Analyse experimental data, troubleshoot issues, and implement corrective actions to improve the process and device performance Collaborate closely with internal teams as well as external partners to integrate the etch processes … with the overall waveguide manufacturing flow Document experimental procedures, results, and process specifications in detail Identify opportunities to optimise or even develop materials, tools, and processes for scaling towards mass manufacturing Knowledge, Skills & Abilities: Strong theoretical understanding of plasma physics and chemistry related to dry etching Knowledge of both standard and novel materials for photonic applications along with a More ❯