1 to 25 of 42 PhD Jobs in the Thames Valley

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 ❯

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 ❯

Docker, Kubernetes, and Terraform to deploy and scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL 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 ❯

preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on More ❯

or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/PhD in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed 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 ❯

compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data science. Experience deploying ML models as More ❯

Keeps abreast of the latest advancements in machine learning engineering, MLOps, and generative AI. We would love someone to have any of the following Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems). 3+ years of experience as an ML Engineer, MLOps More ❯

Anthropic, HuggingFace models). Deep knowledge of MLOps, experimentation, and model evaluation techniques. Experience scaling ML platforms, pipelines, and tooling in cloud environments (e.g., AWS, GCP, Azure). Preferred: PhD or MS in Computer Science, Machine Learning, Statistics, or a related field. Publications or patents in relevant areas (Search, RecSys, GenAI). Familiarity with data privacy, model fairness, and responsible More ❯

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on 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 ❯

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 ❯

core components of the AI agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with More ❯

learning, and digital health platforms. Demonstrated success in business development and client relationship management. Excellent leadership, communication, and presentation skills. Advanced degree in a relevant field (e.g., MSc, MBA, PhD). If shaping the digital transformation of pharmaceutical and biotech companies excites you, and driving strategic impact at the highest level appeals to you, we would love to hear from More ❯

and Systematic Investing will be provided. Essential Skills & Experience: Undergraduate degree in Computer Science, Computing, Software Engineering or similar with top grades from a reputable institution. MSc or possibly PhD level academics in said subject(s) preferred. Strong Python skills, as per 3+ years of professional experience in a technically and/or scientifically complex and competitive environment. Proficiency in More ❯

with healthcare data standards (FHIR, HL7) and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong More ❯

with healthcare data standards (FHIR, HL7) and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong 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 ❯

incl. CMO, CTO, CEO Requirements 10+ years in ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

optical communication systems. Strong DSP and end-to-end optimisation experience. End-to-end systems modelling experience, including RF and optical. Strong Python skills for Test automation and scripting. PhD degree in optical communications, physics, or other relevant fields or experience within the industry; What’s in it for you? Up to £90k DOE Lucrative stock options. 25 days holiday More ❯

imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols. Qualifications PhD in Computer Science or related field 3-7 years experience in Biotech, Clinical or related Industry Hands-on experience with model development, deployment, and adaptation (beyond theoretical work). Experience More ❯

imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols. Qualifications PhD in Computer Science or related field 3-7 years experience in Biotech, Clinical or related Industry Hands-on experience with model development, deployment, and adaptation (beyond theoretical work). Experience More ❯

Build reward models in ambiguous domains. Adapt cutting-edge research in test-time compute and post-training. Develop scalable data pipelines and evaluation frameworks. What we’re looking for PhD/MSc in CS, AI, Math, Physics. Hands-on experience with foundation models (PyTorch, Ray). Strong background in graph neural nets + transformer architectures . Publications at top conferences More ❯