51 to 75 of 336 PhD Jobs in the UK

as model selection, training or tuning, right-sizing, distillation, and hardware optimization Provide customer and market feedback to product and engineering teams to help define product direction BASIC QUALIFICATIONS PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work More ❯

utilization Evaluate emerging technologies and tools for healthcare applications Plan data infrastructure roadmap and capacity Drive automation and self-service capabilities What We Are Looking For Master's/PhD in Computer Science, Data Engineering, Biomedical Informatics, or related field (or equivalent experience) 3-5 years of experience in data engineering (healthcare/medical devices preferred but not required) Strong More ❯

as MS Office Demonstrable understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression. It's a bonus if you have but not essential Advanced Degree (PhD, Masters) in a data science related area Coaching/mentoring experience Experience in Banking and Risk Management. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and More ❯

Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting More ❯

independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering More ❯

clearly communicate concepts to colleagues (and potentially clients) both verbally and in writing Capability of taking initiative and working independently Proven track record of managing projects independently Master/PhD in highly numerate discipline (preferably mathematics and statistics).Desirables: Familiar with repository-based version controls (e.g., git/Azure DevOps) Experience with Azure Databricks platformAt Kantar we have an integrated More ❯

Understanding of UX/UI design principles for AI interfaces and responsible AI practices Bachelor's degree in Computer Science, Artificial Intelligence, or related technical field; Master's or PhD preferred What We Offer We're rapidly expanding and are building a team of doers to achieve our vision of managing over 2 million properties through our platform globally. Here More ❯

models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs More ❯

Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding More ❯

Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding More ❯

in R&D Tax Credits with a strong knowledge of UK R&D tax incentive schemes Degree in Computer Science, Software Engineering, or related field (BSc/MSc/PhD) Proficiency in modern programming languages, software architecture, cloud platforms, databases, AI/ML frameworks, DevOps practices, and cybersecurity Excellent communication, organisational, and listening skills High business integrity and ethics Benefits More ❯

practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer Science, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative More ❯

learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and optimizing models for real-time applicationsStrong data science and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on More ❯

PyTorch, TensorFlow, Keras) Knowledge of CNN architectures and training dynamics Proven experience deploying and optimizing models for real-time applications Strong data science and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related field Experience with sports data, tracking systems, or analytics platforms Familiarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply More ❯

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 ❯

the forefront of advancements in Gen AI, chemical modelling, and process simulation, proactively identifying opportunities for innovation. Who You Are - Skills & Experience Required for Gen AI Chemical Engineering Research PhD or equivalent research experience in chemical engineering, computational chemistry, or a related scientific field. Strong background in machine learning, especially in generative models (e.g. GANs, VAEs, diffusion models) applied to More ❯

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 ❯

focused but may include offensive capabilities. **Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role.** Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world More ❯

architects, and product teams to deliver market-ready solutions. Stay ahead of the curve by exploring LLM advancements, orchestration tools, and evaluation methodologies. What We’re Looking For Required: PhD in AI, Computer Science, or related discipline. 3+ years in AI, Data Science, or advanced technical consulting. Proven track record of building and deploying agentic systems into production . Strong More ❯

and future systems. Maintaining an awareness of current and future developments in the HPC field. Who are we looking for? We do need you to have the following: A PhD in Computer Science, Physics, Mathematics, or other numerate discipline plus at least 4 years relevant experience. OR A BSc/MSc Computer Science, Physics, Mathematics, or other numerate discipline plus More ❯

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 ❯

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 ❯

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 ❯

grades in Mathematics and other numerate A-levels. 2’1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics. A PhD or a research-based Masters is highly desired for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify More ❯

to have (successful candidate will likely have several or all of these skills). Pharmaco-epidemiology or RWE background (or relevant clinical or life science experience). Masters or PhD in a relevant quantitative field. OMOP experience. SQL programming. Consulting experience. AI/ML experience. Shiny dashboard experienceLocation and travel Minimal travel expected to other IQVIA offices (London, East Coast More ❯