1 to 25 of 397 PhD Jobs in the UK excluding London

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 ❯

Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯

field and business teams to assess site suitability , support deployments, and deliver actionable insights Produce technical reports and presentations for internal and customer-facing use Knowledge, Experience, and Skills PhD in Data Science, Applied Mathematics, Physics, Engineering, Computer Science or a related quantitative discipline or BSc with >2 years of professional experience as a data scientist (or similar) Strong understanding More ❯

field and business teams to assess site suitability , support deployments, and deliver actionable insights Produce technical reports and presentations for internal and customer-facing use Knowledge, Experience, and Skills PhD in Data Science, Applied Mathematics, Physics, Engineering, Computer Science or a related quantitative discipline or BSc with >2 years of professional experience as a data scientist (or similar) Strong understanding More ❯

and quality of data. Must possess full right to work in the UK, we cannot consider those on a work or temporary visa of any kind. Qualifications MSc or PhD in a relevant scientific or engineering discipline (e.g. Chemistry, Physics, Environmental Science, Engineering). Alternatively, strong applied research or instrumentation experience. Desirable Exposure to sensor development or IoT monitoring systems. More ❯

and quality of data. Must possess full right to work in the UK, we cannot consider those on a work or temporary visa of any kind. Qualifications MSc or PhD in a relevant scientific or engineering discipline (e.g. Chemistry, Physics, Environmental Science, Engineering). Alternatively, strong applied research or instrumentation experience. Desirable Exposure to sensor development or IoT monitoring systems. 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 ❯

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 ❯

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 ❯

to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. What you'll bring: Bachelor's, Master's, or PhD in data science, computer science, mathematics, statistics, operations research, or a related technical field. Proven experience in AI, machine learning, data management, or data science roles within large organisations, with More ❯

some of the biggest companies in the world. This is a Graduate Software Engineer job focusing primarily on C/C++ development for security products. Key Skills: Masters or PhD in Maths, Physics, Computer Science or similar Good academic or commercial C/C++ experience Experience working on DSP’s for algorithm design is highly desirable but not essential Ability More ❯

some of the biggest companies in the world. This is a Graduate Software Engineer job focusing primarily on C/C++ development for security products. Key Skills: Masters or PhD in Maths, Physics, Computer Science or similar Good academic or commercial C/C++ experience Experience working on DSP s for algorithm design is highly desirable but not essential Ability More ❯

attributes for success To qualify for the role; Experience in building and deploying machine learning or deep learning models in real-world applications. A completed degree (bachelors, masters, or PhD). Excellent leadership and organisational skills, with a track record of developing and leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. 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 ❯

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 ❯

We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level 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 ❯

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 ❯

NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating More ❯

NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating More ❯

NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating 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 ❯

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 ❯

Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree and/or PhD or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and More ❯

solutions repeatable and deployable across industries. Essential Skills Strong programming skills in Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment More ❯