126 to 150 of 467 PhD Jobs in London

into clear reports, plots and customer-facing metrics What you'll bring A degree in geodesy, physics, maths, data science or similar (MSc or PhD preferred) Strong Python and the scientific stack (NumPy, pandas, SciPy) Solid statistics: estimation, time series and uncertainty Experience with large scientific datasets A habit of ...

input construction. Document data methodologies comprehensively to provide transparency and support for both internal and external validation processes. What you should have M.S. or PhD in mathematics, physical sciences, or engineering preferred Demonstrated expertise in quantitative and programming skills, with 3–5 years of experience in large-scale Python development ...

Master’s degree in Computer Science, Engineering, or related field with 4+ years of hands-on ML/AI engineering experience (or PhD with relevant experience).Strong Python development skills with proven backend engineering experienceHands-on experience building agentic or LLM-powered applications beyond simple prototypesKnowledge of API design, asynchronous ...

starter who pays attention to detail and continuously explores modern machine learning tooling Not essential, but nice to have: A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Engineering, or an equivalent technical field At least three years of professional experience operating as a Machine Learning Engineer ...

years of post-Bachelor’s relevant experience; or Master’s degree in a technical field + 4+ years of relevant post-grad experience; or PhD in a relevant technical field + 2 years of relevant experience Track record of successful projects showing computer vision skills in photon efficient or event ...

APIs for internal services, e.g. via FastAPI; Deploying containerised systems to production, in particular via Kubernetes. In addition, the following would be an advantage: PhD in Computer Science, Machine Learning, or a related field with a strong publication record in text analytics, representation learning, or applied predictive modelling. Practical experience ...

of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 1 year of experience in a technical leadership role. Experience with hardware/compiler co-design ...

statistics, or other modelling approaches.You've worked with large-scale transactional or financial data before.You've worked in ML infrastructure or MLOps.You hold a PhD you completed while researching model architectures or algorithms.Things you should know before applyingWorking together: we value co-located teams; most teams currently meet ...

data domains including clinical, regulatory, safety, product, and commercial data. Experience applying AI, GenAI, or Agentic AI within Life Sciences organizations. MBA, MSc, PharmD, PhD, TOGAF, or equivalent advanced qualifications. Strong analytical, stakeholder management, and problem-solving skills About your team Join our growing Life Sciences practice and make ...

knowledge sharing, and contributions to the broader security communityMinimum Qualifications:B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience. OR PhD + 2 years of hands-on security engineering experience5+ years of hands-on security engineering experience in one or more domains: detection engineering, threat intelligence ...

of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. Proficiency in programming languages such as C++ and Python, and familiarity with real‐time operating systems (RTOS). Proficiency in Linux ...

based learning, or knowledge of Higher Education. Understanding of equity and diversity issues. Essential Qualifications: A post-graduate degree (MSc or similar) Desirable Qualifications: PhD or working towards one Subject specific qualifications Teaching qualificationsExperience supervising Masters Projects About Us What We Offer Wellbeing & benefits Your wellbeing matters to us. That ...

Industries, Creative Industries, Defence, Digital and Technologies, Financial Services, Life Sciences, Professional & Business Services) to guide organisations with their AI deployment journey. ABOUT YOU PhD or equivalent level of industry experience. Bachelor s degree or a master s degree in a discipline which provides a good basis for understanding statistics ...

localisation or other state-estimation systems. Familiarity with relevant robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL or CUDA. MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience. This is a full‐time role based in our office in London ...

supervised and unsupervised learning, model generalization, overfitting, evaluation metrics), and experience working with real‐world noisy datasets. Preferred Qualifications: Advanced degree (Master’s or PhD) in a quantitative field with a focus on machine learning, statistics, or AI, with experience applying research ideas to practical, large‐scale problems. Experience designing ...

advocate for best practices in machine learning, including architecture design, research roadmaps, and deployment pipelines. What you need to succeed: Academic and professional background: PhD in NLP, IR, Machine Learning, or related fields (or equivalent experience). 8+ years of industry experience, with a strong focus on deep learning-based ...

teaching others, and embracing feedback (and yes, you’re always game for a team Lego-building break) You’ve got a Master’s or PhD in Integrated Systems (or similar), or solid experience building embedded solutions Bonus extras: machine-vision experience - illumination, optics, sensors, exposure tuning. PoE camera networks ...

organised and able to prioritise. Strong judgement, problem-solving, and mediation skills. Collaborative and empathetic. Technical Skills University qualification (Bachelor's, Master's, or Doctorate) in Life Sciences, Biomedical Informatics, Computer Science, Engineering, or a related field, or equivalent relevant experience. Relevant professional experience in project management, client management ...

/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise Preferred Qualifications: 0-to-1 Execution: Experience taking ...

security, and responsible AI Validate outputs and ensure appropriate human oversight in decision‐making contexts What you bring Bachelor's degree required; MS/PhD in Geoscience or Petroleum Engineering, Reservoir Engineering, or related discipline is preferred Extensive years of experience in the Upstream Oil & Gas industry is preferred Deep ...

computational biology, and large-scale deep learning. You'll also collaborate with the broader platform engineering and data teams across the company. About You PhD in computer science, physics, mathematics, or a related field, or equivalent depth of experience gained through building AI systems at scale. You have worked ...

clinicians and experimental researchers across the Crick and Sanger Institute. Leading publications, conference presentations and dissemination of research findings. About you Essential: (Minimum criteria) PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline. Experience developing and applying deep learning or AI/ ...

academic. Having grown a team from a few people to a full department, and being able to describe what broke on the way. A PhD or equivalent research training, or a record of published applied research. Experience in a regulated environment or with model risk management frameworks, whether in financial ...

looking for a data scientist to manage production data science projects and develop algorithms to analyze blockchain data. The ideal candidate holds a PhD or equivalent and has expertise in Python and SQL. Key responsibilities include mentoring juniors, collaborating closely on projects, and applying advanced analytical techniques. The role requires ...

/ML Senior Associate Machine Learning Engineer to innovate using advanced AI techniques in financial services. This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science ...