1 to 25 of 145 Remote/Hybrid PhD Jobs in London

current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science ...

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 ...

performance, sector positioning, market expectations, earnings trends, and portfolio exposures. Qualifications Education - Undergraduate degree with significant quantitative research experience or MSc/MEng/PHD in Quantitative Finance, Statistics, Econometrics, Computer Science, Engineering, Physics, or a related quantitative discipline. Technical Skills - Highly proficient in programming (R/Python/Java ...

Qualifications: Educated to degree level in Computer Science, Engineering, Mathematics, or a related technical discipline (or equivalent professional experience). Postgraduate qualifications (e.g., MSc, PhD) in AI, Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering ...

code, code review, documentation).* Present results to peers and senior management.* Actively contribute to improve developer velocity.* Mentor others.## QualificationsEssential* MSc or PhD degree in a quantitative field.* Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex ...

landscape in electronic trading. Present research findings and strategic recommendations to senior stakeholders and cross‐functional partners. Basic Qualifications Advanced degree (Master's or PhD) in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field. 5+ years of experience in quantitative research related to execution ...

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 ...

free to still apply as we are often hiring for similar roles which your background might be better suited to. A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statisticsExperience of conducting analysis for evidence-based decision making, designing and developing models ...

working knowledge in unfamiliar areas, ask effective questions and navigate a broad technical ecosystem. Nice to have Advanced quantitative education: Master’s degree or PhD in a quantitative field. Insurance and capital markets experience: Five or more years of experience in insurance, reinsurance or capital markets, with exposure to complex ...

written and verbal communication skills, with the ability to convey technical concepts to both quantitative and non-quantitative colleagues. A Master's degree or PhD in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Beneficial Skills & Qualifications Experience working on XVA models, including Credit, Funding ...

members and the broader Audit Technology function with the skills and knowledge to adopt and adapt AI innovations effectively. Requirements· Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning ...

alerting, checking in code, code review, documentation).Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. QualificationsEssentialMSc or PhD degree in a quantitative field. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products ...

using live whiteboarding and collaborative problem-solving to build high-performance data products. What We're Looking For Academic Background: Degree, Master's, or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics, or a related quantitative field. Core Technical Stack: Hands-on proficiency with Python, SQL, and Excel, alongside ...

remote, cloud-based environments, e.g. AWS. Experience creating and working with containers, e.g. Docker, Singularity. Additional programming languages, particularly R or C++. A PhD or postgraduate degree in a scientific field, ideally genomics, bioinformatics or computational biology, with familiarity in statistics and machine learning. Prior experience working in a team ...

Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI to deliver scalable, high‐performance applications. Qualifications Essential requirements A degree, Masters or PhD in data science, mathematics, operational research, physics, or statistics. Experience conducting analysis for evidence‐based decision making, designing and developing models and supporting data‐centric decision ...

architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related machine vision. Commercial software development alongside academic or research experience. An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. ...

testing, documentation, and reproducibility. Collaborate closely with product and research stakeholders to ensure models are usable, interpretable, and commercially relevant. Qualifications Master's or PhD degree in a quantitative discipline (or equivalent professional experience). 5+ years of relevant professional experience in quantitative modelling, software engineering, or applied research. Strong ...

technical strategy Desirable Experience Experience building multi-agent AI systems and orchestration frameworks. Background within insurance, financial services, or other highly regulated environments. MSc, PhD, or equivalent qualification in Computer Science, Mathematics, Statistics, or a related discipline. Package & Benefits Salary of £95,000 - £120,000 Performance-related bonus Comprehensive benefits ...

trends such as agentic workflows and data mesh, introducing new methodologies and representing EPAM at key industry events Requirements Bachelor’s, Master’s or PhD in Computer Science, Data Science, Mathematics, Economics or a related field or relevant work experience Proven track record in a Director, Principal or equivalent leadership ...

comfortable working on ambiguous problems and suggesting solutions rather than waiting to be told exactly what to do. Nice to have An MSc or PhD in Computer Science, Maths, Statistics, Economics, Psychology, ML, or a related field—or equivalent knowledge gained another way. Experience working alongside product and engineering teams. ...

PyTorch Familiarity with AWS, Azure or GCP, and any relevant cloud certifications Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary ...

/CD. Experience working in remote, cloud-based environments, e.g. AWS. Prior experience working in a team, ideally in an industry setting. A PhD or postgraduate degree in genetics, genomics, computational biology or bioinformatics, or statistics and machine learning applied in these fields. Your Package We are committed to providing ...

stakeholders and users A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms Ideally, you would also have: PhD in machine learning, or a related field Authored publications in top‐tier journals and conferences (e.g. NeurIPS, ICLR, ICML, EMNLP) Experience working with MLOps infrastructure ...

powered workflows. Operating independently on open‐ended, highly specialised problems—scoping, executing, and delivering with minimal oversight. 3–5 years of industry experience (post‐PhD), ideally within or directly supporting the semiconductor manufacturing industry. Proficiency in Python (or similar) for workflow automation, data handling, and integration with simulation tools. Combining ...

knowledge-based systems. Experience operating within regulated or risk-controlled environments. Exposure to data engineering and modern data platforms. Relevant postgraduate qualification (MSc, PhD) or equivalent in Data Science, AI or related discipline. Connect to your business – Tax Innovation and tax consultancy may not seem to go together, but that ...