76 to 100 of 486 PhD Jobs in the UK

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 ❯

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 ❯

researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, 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 ❯

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 ❯

we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive 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 ❯

commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. 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 ❯

quantitative research background (preference for big data) Strong communication skills. Very nice to have 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 experience Location and travel Minimal travel expected to other IQVIA offices (London, East 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 ❯

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 ❯

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 ❯

power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production. BASIC QUALIFICATIONS PhD, or Master's degree and 6+ years of applied research experience 5+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related 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 ❯

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 ❯

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 ❯

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 ❯

the gap between technical depth and business impact. Minimum Qualifications: Education & Experience: Bachelor's degree with 7+ years of relevant experience, OR Master's degree with 4+ years, OR PhD with 1+ year. Technical: Proficiency in at least one modern language (Python, Java, JavaScript, Go). Experience with software development methodologies. AI/ML concepts, including hands-on experience with More ❯

party SDKs and APIs (e.g., REST, gRPC) to build complex applications. Customer-Facing Communication: Exceptional communication and interpersonal skills. You can explain complex technical concepts to diverse audiences (from PhD scientists to DevOps engineers) with clarity and empathy. Team-First Attitude: Independent, curious, and detail-oriented; thrives in a dynamic environment; and is fun to work with. Education: MSc or More ❯

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

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