26 to 50 of 166 PhD Jobs in the UK excluding London

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 ❯

flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master's degree plus 5 years of relevant work experience 5+ years of hands on More ❯

asset classes. Pre market - checking that all required data and processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ More ❯

how to best utilise AI/ML into these software products. Requirements: Strong academic background, minimally a Master's in computer science, physics, engineering or similar, and ideally a PhD in a relevant subject area. Demonstrable experience developing desktop and web applications including production-grade software. This should include experience with software architecture and understanding how to support structured (SQL More ❯

ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR). Qualifications: PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI conferences. Extensive experience with fine-tuning/distillation of large More ❯

s workflows to help foster a healthy, productive, and innovation-focused environment What We're Looking For? Background in machine learning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience) Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience More ❯

in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using More ❯

function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT. Interested? For this role we're looking for the followingeducation, experienceandskills PhD in biological, chemical, or data science with strong skills & experience in informatics, statistics, or computer science and demonstrated delivery in the life sciences space 8+ years of hands-on experiencewith More ❯

analytics, IT, and business teams Champion a data-driven decision-making culture across the organization Education, experience and skills Bachelor's degree in a quantitative field (Master's or PhD preferred) At least 6+ years of experience applying machine learning and predictive analytics techniques Strong programming skills in Python or R Experience leading end-to-end analytics and data science More ❯

how to best utilise AI/ML into these software products. Requirements: - Strong academic background, minimally a Master’s in computer science, physics, engineering or similar, and ideally a PhD in a relevant subject area.- - Demonstrable experience developing desktop and web applications including production-grade software. This should include experience with software architecture and understanding how to support structured (SQL More ❯

years of experience in software development, with an emphasis on signal/image processing Bachelor’s degree in Computer Science, Electronics, Engineering, or a related field (Master’s or PhD preferred) Proficiency in C/C++, Java, or Python Strong experience in low-level embedded systems and electronics Demonstrated ability to lead and mentor junior engineers Benefits : Competitive salary commensurate More ❯

for data engineering and modeling. Familiarity with IoT/sensor data , time-series analysis, and cloud-based data platforms. Understanding of field trial design and agricultural datasets. MSc or PhD in Data Science, Agronomy, Plant Biology, or related field preferred. Bonus Skills Experience with tools like AWS, Azure, or GCP for data ingestion and storage. Knowledge of GIS, remote sensing More ❯

stay at the forefront of innovation. 🔹 Ensure compliance with data privacy and regulatory standards while promoting knowledge sharing across teams. What we’re looking for: ✔️ Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R More ❯

stay at the forefront of innovation. 🔹 Ensure compliance with data privacy and regulatory standards while promoting knowledge sharing across teams. What we’re looking for: ✔️ Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R More ❯

stay at the forefront of innovation. 🔹 Ensure compliance with data privacy and regulatory standards while promoting knowledge sharing across teams. What we’re looking for: ✔️ Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R More ❯

stay at the forefront of innovation. 🔹 Ensure compliance with data privacy and regulatory standards while promoting knowledge sharing across teams. What we’re looking for: ✔️ Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R More ❯

stay at the forefront of innovation. 🔹 Ensure compliance with data privacy and regulatory standards while promoting knowledge sharing across teams. What we’re looking for: ✔️ Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R More ❯

stay at the forefront of innovation. 🔹 Ensure compliance with data privacy and regulatory standards while promoting knowledge sharing across teams. What we’re looking for: ✔️ Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R More ❯

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 ❯

meet or exceed client expectations. Implement best practices for software development, including coding standards, code reviews, and testing. What we look for Required Qualifications: Bachelor's, Master's or PhD degree in computer science, engineering, information security, or a related field Proven experience in software development and management or project leadership. Project management skills for planning, timing, executing, and reporting. More ❯

is a plus. Excellent communication skills and ability to translate technical concepts for non-technical stakeholders. Ideally you will be educated to Degree level and hold a MSc or PhD in Computer Science, AI, Machine Learning, or related sector. Due to the nature of this role, it wouldn't go a miss if you have exposure within legal or regulated More ❯

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 ❯

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 ❯

diverse models to create rich, layered analysis. If you’ve worked with football data providers like StatsBomb or Second Spectrum, even better. You’ll need a Master’s or PhD in a quantitative field, strong Python skills, and extensive experience applying core machine learning libraries such as Scikit-learn, XGBoost, or LightGBM to structured data problems. The role may also More ❯

and non-technical audiences. Mentor junior staff working on similar research topics. Publish and/or patent novel concepts and research findings where appropriate. Essential Knowledge, Skills and Experience PhD or equivalent industry experience in a relevant discipline. Several years of expertise in applying AI/ML and/or statistical signal processing to sequential data and decision-making post More ❯