1 to 25 of 66 Remote PhD Jobs in London

model evaluation frameworks and monitor performance in production environments. Knowledge Transfer: Document processes and share insights to enable continuity post-contract. Skills & Experience Required Advanced degree (Master’s or PhD) in Data Science, Machine Learning, Statistics, Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series More ❯

model evaluation frameworks and monitor performance in production environments. Knowledge Transfer: Document processes and share insights to enable continuity post-contract. Skills & Experience Required Advanced degree (Master’s or PhD) in Data Science, Machine Learning, Statistics, Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series More ❯

concepts. Desirable Extras Experience with regulatory frameworks (e.g., Basel, GDPR) and model explainability tools. Knowledge of NLP for document processing or conversational banking applications. Advanced academic background (MSc or PhD in a quantitative discipline). Why This Role? Shape the future of digital banking through AI-driven innovation. Work on high-impact projects that combine technical depth with real-world More ❯

concepts. Desirable Extras Experience with regulatory frameworks (e.g., Basel, GDPR) and model explainability tools. Knowledge of NLP for document processing or conversational banking applications. Advanced academic background (MSc or PhD in a quantitative discipline). Why This Role? Shape the future of digital banking through AI-driven innovation. Work on high-impact projects that combine technical depth with real-world More ❯

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 ❯

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 ❯

technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to More ❯

technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to More ❯

Space propulsion concepts Synthetic Biology Schedule: Monday to Friday Hybrid role (2 days in London-based office) No weekends Remote and flexible working arrangements considered. REQUIREMENTS BSc, Masters or PhD (Physics) 1-5 years experience in tech intelligence, consulting or broad/generalist tech background Deep intellectual curiosity about a wide range of emerging technologies, and the ability to assimilate More ❯

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 apply ML methods to biological or genomic data Strong Python skills with experience in More ❯

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 apply ML methods to biological or genomic data Strong Python skills with experience in More ❯

management. Resolve oversight challenges in methodology, scenario design, assumptions, and decision linkage. Ensure complete CSRBB and IRRBB coverage and capture all risk drivers. Qualifications & Experience Education: Master's or PhD in a quantitative field (Economics, Finance, Mathematics). Experience: 5+ years in banking/financial services with exposure to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on More ❯

challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯

challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯

insights both internally and externally, through presentations, written publications and representing InstaDeep at conferences and events. Requirements Research Experience: Experience in professional research settings, either in industry or through PhD/post-doctoral positions. Proven Research Excellence: A strong track record of high-quality research, evidenced by publications in reputable scientific journals or conferences. Expertise in software development and programming More ❯

management. Resolve oversight challenges in methodology, scenario design, assumptions, and decision linkage. Ensure complete CSRBB and IRRBB coverage and capture all risk drivers. Qualifications & Experience Education: Master's or PhD in a quantitative field (Economics, Finance, Mathematics). Experience: 5+ years in banking/financial services with exposure to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on More ❯

new ideas just as much as you enjoy building working systems. You’re curious, practical, and excited by the chance to create impact. You may come from: Academic routes PhD or research background in AI, ML, or Computer Science Ready to apply deep expertise in a commercial SaaS setting Industry routes Senior or Lead Data/AI Engineer with strong More ❯

new ideas just as much as you enjoy building working systems. You’re curious, practical, and excited by the chance to create impact. You may come from: Academic routes PhD or research background in AI, ML, or Computer Science Ready to apply deep expertise in a commercial SaaS setting Industry routes Senior or Lead Data/AI Engineer with strong More ❯

Focus on efficient, optimised solutions Challenges will test: Data Structures Algorithm Design Computational Thinking Performance Optimisation Ideal Candidate Profile: Academic and Professional Requirements: Minimum Qualification: Degree/Masters/PhD in Computing, Data Science, or Equivalent Proven Commercial Experience as a Back-End Microsoft Developer Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem More ❯

NLP expert with experience in the end-to-end AI development life cycle. About You: You're a fit for the role of Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 3+ years of hands-on industry experience building NLP/ML/Knowledge Graph/GenAI systems More ❯

core components of the AI agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with More ❯

research for AI-driven biological discovery and therapeutics. Drive foundational research efforts for the company's biological AI models, including leading projects related to protein-focused foundation models. Requirements PhD in Transcriptomics, Computational Biology, Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning More ❯

Focus on efficient, optimised solutions Challenges will test: Data Structures Algorithm Design Computational Thinking Performance Optimisation Ideal Candidate Profile: Academic and Professional Requirements: Minimum Qualification: Degree/Masters/PhD in Computing, Data Science, or Equivalent Proven Commercial Experience as a Back-End Microsoft Developer Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem More ❯

Lab, and King's Health Partners MedTech Innovations to improve surgical care. Come make an impact with us and help shape our story. A bit about you MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific More ❯

Focus on efficient, optimised solutions Challenges will test: Data Structures Algorithm Design Computational Thinking Performance Optimisation Ideal Candidate Profile: Academic and Professional Requirements: Minimum Qualification: Degree/Masters/PhD in Computing, Data Science, or Equivalent Proven Commercial Experience as a Back-End Microsoft Developer Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem More ❯