Remote PhD Jobs in Slough

4 of 4 Remote PhD Jobs in Slough

Lead AI Engineer

slough, south east england, united kingdom
Hybrid / WFH Options
KPMG UK
Confluence. Behavioural Attributes and Skills: Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional More ❯
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Deep Learning Engineer

slough, south east england, united kingdom
Hybrid / WFH Options
Experis UK
Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or More ❯
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Senior Pharmacoepidemiologist – RWE & Data Science

slough, south east england, united kingdom
Hybrid / WFH Options
Cubiq Recruitment
stakeholders and regulators Lead protocol and SAP development, contribute to CSRs and publication strategy Apply modern causal inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies More ❯
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Senior Scientist

slough, south east england, united kingdom
Hybrid / WFH Options
Natcap
disciplines and rapidly turn scientific knowledge into scalable solutions Communicate your science in a clear and compelling way to both customers and non-experts 👩 🔬 What we’re looking for: PhD or Master’s with 3+ years’ experience in applied modelling, data science, or spatial analysis Fluency in Python , including geospatial packages Strong communicator, able to distil complex topics for non More ❯
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