1 to 25 of 147 PhD Jobs in London

such as RabbitMQ, Redis, Valkey, and event-driven architectures. Knowledge of vector databases, knowledge graphs, and advanced data modelling approaches. Master's degree or PhD in Computer Science, Engineering, Statistics, Data Science, or a related quantitative discipline. Rewards & Benefits TCS is consistently voted as a Top Employer ...

Operations to support business objectives. Skills & Experience Essential Minimum 6 years of experience in a quantitative analytics, quantitative research, or derivatives-focused role. MSc, PhD, or equivalent degree in a quantitative discipline such as Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related field. Strong understanding of derivatives markets ...

team skills in a multi-location environment Deep understanding of financial products, their valuations, and associated risks Preferred Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Proven quantitative model development or model validation experience Markets experience and familiarity with trading concepts ...

that strengthen the structuring franchise Job Requirements: Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure 5 years to 15 years of ...

velocity, engineering standards, and shared tooling. Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline). Hands-on experience designing, prototyping, productionizing, maintaining ...

evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative discipline The Senior Data Scientist will ideally have the following attributes: Experience ...

individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures ...

documentation, reproducibility, traceability, and SDLC; ensure compliance with internal policies for model risk management and data governance. Required Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 5+ years of front‐office quant experience supporting trading/risk ...

scientific customers to shape ML strategy and identify high-value opportunities. Present technical strategies, architectural decisions, and outcomes to senior leadership. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area). Hands-on experience designing, prototyping, productionizing ...

maintaining, or launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. ...

silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware. About you Essential: Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch ...

maintaining, or launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. ...

practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation. About You Qualifications: Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Track record: Proven track record of delivering AI solutions from research to production ...

pricing strategies, or related marketplace dynamics Knowledge of digital advertising ecosystems, including programmatic advertising and sponsored search Preferred Qualifications: Advanced degree (MBA, MS, or PhD) in a quantitative or technical field Familiarity with AI tools, LLMs, or agent‐based systems, including practical experience applying these technologies to product development Previous ...

Learning concepts. Experience designing and executing machine learning experiments. Strong problem-solving skills with a scientific and analytical mindset. Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related technical field. About US Tech Solutions: US Tech Solutions is a global staff ...

delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling ...

such as TOGAF and operation within Architecture Review Boards. Excellent communication skills, synthesizing complex technical topics for non‐technical stakeholders. Preferred Master’s or PhD in Computer Science, AI, ML, Data Science, or related field. Experience in financial services (asset management, investment banking, fintech) with knowledge of investment workflows, data ...

explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participation in knowledge‐sharing community. Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid ...

machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or an MS with significant years of industry or research ...

complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional ...

allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. ...

efficiently implemented and deployed. Communicate work internally and externally. Stay at the forefront of advances in AI for scientific discovery. Qualifications Required PhD (or equivalent research experience) in Machine Learning, Computer Science, Computational Biology, Physics, Mathematics, or a related discipline. Strong publication record at premier ML conferences (e.g., NeurIPS, ICML ...

test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals What you need to succeed Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar 8+ years of hands-on experience MLOps, Research Engineering, or ML Research A strong background ...

hands-on to development where needed Drive innovation and best practices in machine learning, analytics, and data science delivery About You: Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field Extensive experience leading data science and AI initiatives in complex environments Deep expertise ...

take full ownership of the solutions you build and deliver; Highly adaptable and able to thrive in uncertain, rapidly evolving environments; Master’s or PhD degree (or equivalent experience) in Computer Science or a related field; Experience with JVM-based languages (Java, Kotlin) or Python; Advanced math and quantitative skills ...