1 to 25 of 30 PhD Jobs in the Thames Valley

Strong understanding of governance, security, and ethical frameworks in health data. Excellent communication, influencing, and negotiation skills. Experience delivering complex projects and mentoring others. Desirable Postgraduate qualification (MSc/PhD) in data science, ML, or related subject. Experience with health data standards (HL7, FHIR, SNOMED). Familiarity with NHS datasets and national initiatives. Experience with BI tools such as Power More ❯

with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you’ll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience More ❯

/operations research/mathematical modelling Background in supply chain or workforce planning (desirable) Ability to build and ship production-level components, not just analytical prototypes Master's or PhD in Data Science or similar (desirable) If this sounds like you and you would like to know more details, please apply now. More ❯

technical. Experienced in taking on a technical leadership role in project settings. Holds a strong undergraduate degree in a STEM field with a significant focus on mathematics; possessing a PhD is beneficial but not mandatory. Proficient in Python programming. Experienced in managing large datasets, appropriate software techniques, and understanding hardware needs. Familiar with the software development lifecycle and Agile methodologies. More ❯

work You will be part of a vibrant team of 15+ Applied Scientists based in Paris and London Basic Qualifications: Currently enrolled in a Computer Science Master's or PhD degree or a related field Proficiency with a modern deep learning framework (PyTorch or TensorFlow) Ability to write research code in Python Strong communication and collaboration skills Strong willingness to More ❯

insights into actionable outcomes for non-technical stakeholders. ✅ What We’re Looking For 5+ years’ industry experience in Data Science, ideally with consulting exposure. Strong academic background (MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A More ❯

development. o Rust, Python, C++ programming languages. o Quantum programming tools & languages. o Development, test, and deployment of embedded devices . o Working in a research capacity (e.g. masters, PhD). You will be able to work/travel within the UK and overseas as and when required to attend international meetings with collaborators. Security Clearance: Due to the nature More ❯

at internal and external meetings and conferences Undertake other duties in support of the research group as requested by the Group Leader Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track record of hands-on research, ideally in mammalian cell culture and engineering, molecular biology, or More ❯

maximal performance and data quality. To stay abreast of new sequencing technologies and methodologies, integrating improvements to enhance performance, throughput and cost-efficiency. Essential Knowledge, Skills and Experience: A PhD (or equivalent industry experience) in a relevant field, such as genomics, molecular biology, synthetic biology, cell biology, or computational biology. Hands-on experience with next-generation sequencing technologies (e.g., Illumina More ❯

e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). Preferred Qualifications Advanced degree (MS/PhD) in Computer Science , AI , or a related field. Publications in top-tier conferences as the main author . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools. Core Competencies More ❯

firm, technology analyst firm, market research firm or consulting firm Educated to degree level with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the More ❯

of a strong research group located near King’s Cross, working in a hybrid environment alongside accomplished ML scientists with publications at top-tier conferences. Experience Required MSc or PhD in Computer Science, Machine Learning, or a related discipline Strong hands-on experience with transformer-based models/LLMs Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) Proven More ❯

Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯

objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data More ❯

formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements: Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and More ❯

loop experiments. Collaborate with domain experts to ensure solutions address real scientific needs. Mentor and guide other scientists, setting the standard for technical excellence. What we’re looking for PhD (or equivalent) in ML/AI, computational sciences, chemistry, materials, or related fields. Proven experience applying state-of-the-art ML models to real-world problems. Experience with generative modelling More ❯

loop experiments. Collaborate with domain experts to ensure solutions address real scientific needs. Mentor and guide other scientists, setting the standard for technical excellence. What we’re looking for PhD (or equivalent) in ML/AI, computational sciences, chemistry, materials, or related fields. Proven experience applying state-of-the-art ML models to real-world problems. Experience with generative modelling More ❯

Lead outbound sales efforts (approx. 95%) to prospect, qualify, and close opportunities across the pharma, aerospace, and polymer sectors. Engage confidently and knowledgeably with scientific and technical stakeholders (many PhD-level clients). Create and deliver persuasive sales presentations and copy both written and spoken. Source leads using AI tools, industry databases, and associations. Handle sales conversations adeptly, especially the More ❯

creation of technical and commercial materials for both internal and external audiences. Collaborate cross-functionally with engineering, commercial, and product teams to deliver integrated solutions. Candidate requirements: Degree or PhD in engineering, physics, or related field. Experience with computer-based modelling (CFD, MATLAB, Python). Skilled in research and literature review, combining public and internal data. Excellent with data: analysis More ❯

Work cross-functionally to ensure experimental feasibility and infrastructure readiness What You'll Need to Succeed Essential: 1-3 years of industry experience in experimental data capture, or equivalent PhD experience Proficiency in LabVIEW or similar data acquisition platforms Strong understanding of hardware/software integration for high-speed, high-temperature systems Degree in mechanical, aeronautical, or related engineering/ More ❯

Work cross-functionally to ensure experimental feasibility and infrastructure readiness What You'll Need to Succeed Essential: 1-3 years of industry experience in experimental data capture, or equivalent PhD experience Proficiency in LabVIEW or similar data acquisition platforms Strong understanding of hardware/software integration for high-speed, high-temperature systems Degree in mechanical, aeronautical, or related engineering/ More ❯

finalize designs through detailed CAD modelling and iterative optimization. Collaborate closely with manufacturing, simulation, and process engineers to ensure designs meet DFM and performance criteria. Essential Bachelors, Masters, or Doctorate degree in Mechanical Engineering, Computational Design, Industrial Design, Mathematics, or a related field. Expertise designing and engineering complex, high-performance components. Proficient with surface modelling. Experience developing parametric and computational More ❯

. Extensive existing network of client contacts at tier 1-2 media agencies, with a preference for candidates with strong relationships at GroupM (Wavemaker), IPG (Initiative/UM), Omnicom (PHD) and Dentsu (Carat London). Strong experience managing direct reports and reporting upward to leadership teams. Experience selling digital marketing, publishing and Adtech products/solutions to agencies. Affable personality More ❯

supporting data analysis using Python. Key requirements for LabVIEW Data Engineer: Proficient in LabVIEW data acquisition software system design and implementation for high temperature and speed systems A relevant PhD or equivalent industry experience in experimental data capture, data logging in system performance evaluation Experience in collaborative coding and programming (e.g. C, Python, git) Along with highly interesting and technical More ❯

We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL. About The Internship We are seeking highly motivated and talented PhD students to join our AI research team for a 3–6 month internship. This is an opportunity to contribute to cutting-edge projects alongside experienced researchers and engineers, while gaining … new ideas Assist in preparing publications and technical reports Stay up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with More ❯