1 to 25 of 281 Permanent PhD Jobs in England

Python, deep learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience More ❯

development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year More ❯

offered as either a Standard Academic Contract (SAC), which includes both teaching and research responsibilities, or a Teaching Only Contract (TOC). For SAC appointments, candidates should hold a PhD in a relevant Computer Science field or be within 12 months of completing one. For TOC appointments, candidates should hold a Masters degree in a relevant subject or have significant More ❯

Proven track record of delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills More ❯

Proven track record of delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills More ❯

and learning technologies to enhance student experience. Innovative, proactive, and student-centred approach to teaching and leadership. Flexible and adaptable, with strong problem-solving and time-management skills. Desirable: PhD (or near completion) in Computing or related subject. Senior Fellowship of Advance HE (SFHEA). Experience of teaching at both undergraduate and postgraduate levels. Experience of external examining or programme More ❯

for analyzing and making sense of research data outputs and survey datasets. Fluency in advanced statistics, ideally through both education and experience. Person Specification Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, or a related field. Comfortable working with uncertainty and ambiguity, from initial concepts through iterations and experiments to find the right products/services More ❯

into production‐grade systematic strategies. Publish proprietary research (SSRN/peer‐reviewed journals/industry conferences) and participate in industry working groups , enhancing the firm's visibility. YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience). 4–7 years in quantitative research/engineering More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and More ❯

emerging technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯

emerging technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯

edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like More ❯

emerging technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

and AI best practices Stay abreast of emerging trends and technologies in AI, machine learning, cloud platforms, and analytics to inform strategic decisions Your Profile Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field Executive education or certifications in AI strategy, digital transformation, or innovation (e.g., MIT, Stanford, INSEAD programs 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 ❯

priorities. Contribute to knowledge dissemination and impact by publishing and presenting research findings, supporting translation into practice through collaborations, providing training and helping to secure research funding About you: PhD or equivalent industrial experience in Computer Science, Data Science, Biomedical Engineering, Applied Mathematics, or a closely related discipline with a focus on machine learning or data-driven modelling Proven expertise More ❯

related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in 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 ❯

of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast 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 ❯

legal teams to protect your inventions. You will contribute to the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: Master's or PhD in a relevant field (physics, computer science...) Expertise in machine learning, with a strong understanding of flow matching, diffusion and/or GANs Machine learning orientated programmed skills (Pytorch, Python... More ❯