826 to 850 of 6,089 Degree Jobs in London

/or observability for AI/automation in production. Experience working in a highly matrixed, complex organization and/or within a financial institution. Degree in Computer Science, Engineering, or a related field is beneficial, but is not a substitute for hands‐on engineering delivery experience. Experience ensuring customers ...

high‐value solution proposals. Experience with regulated industries (healthcare, financial services, fintech, telecommunications, energy, industrials) is a strong plus. Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related technical field preferred. #J-18808-Ljbffr ...

researchers; align with research and engineering stakeholders on ownership, execution, and prioritization Foster engineering consistency, standards, and best practices within Research Requirements Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field 5+ years of professional software engineering experience, with strong CS fundamentals ...

explain technical designs, risks, and operational considerations to wide-ranging audiences Good organisational skills and delivery discipline (prioritisation, time management, working across multiple initiatives) Degree in a relevant field or equivalent practical experience (Masters highly preferred) Model explainability approaches/tools (e.g. SHAP) where required by use case ...

explain technical designs, risks, and operational considerations to wide-ranging audiences Good organisational skills and delivery discipline (prioritisation, time management, working across multiple initiatives) Degree in a relevant field or equivalent practical experience (Masters highly preferred) Model explainability approaches/tools (e.g. SHAP) where required by use case ...

explain technical designs, risks, and operational considerations to wide-ranging audiences Good organisational skills and delivery discipline (prioritisation, time management, working across multiple initiatives) Degree in a relevant field or equivalent practical experience (Masters highly preferred) Model explainability approaches/tools (e.g. SHAP) where required by use case ...

building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical experience.. A deep, hands‐on understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge ...

London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve ...

cross geography teams Self-motivated individual, comfortable working without close supervision Team player with proven ability to build strong cross-business relationships A graduate degree or equivalent experience (in computer science, information systems management, business administration or related field) is preferred. The Cybersecurity & Technology Controls group at JPMorgan Chase ...

systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master’s degree or Phd in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer‐facing or field roles. Proven ...

enhance the research platform and analytics tooling. Collaborate with researchers to bring new trading strategies into production. Required Skills, Qualifications and Experience Undergraduate degree in Computer Science or a related STEM discipline. Production-level software engineering experience in a high-quality, technology-driven environment. Solid understanding of algorithms, software ...

SASS, CSS Modules, JS Compilation. Understanding of CI/CD platforms such as Jenkins and Github Actions. Preferred qualifications, capabilities and skills Bachelor’s degree in Computer Science, Engineering or a related field. A passion for self-development and learning who keeps up to date with the latest ...

concise 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 ...

Knowledge of financial products and related quantitative methods, especially Monte Carlo simulation. Clear and concise written and verbal communication skills. An MSc or PhD degree in a quantitative subject. Skill in programming, preferably in C++. What we can offer you This role provides the opportunity to work ...

from the repository. Write SQL queries to extract, transform and validate data from laboratory systems and the data repository. Qualifications & Experience Required: Bachelor's degree in Data Science, Biological Sciences, Engineering or a related field. Proven experience working in a scientific laboratory environment (academia, biotech or pharma) including substantial ...

supporting UAT and defect management activities Ability to work across multiple teams and manage competing priorities Required Qualifications: A Bachelor’s or Master’s degree in Engineering , or equivalent military experience . Proven experience delivering business analysis activities on enterprise-scale projects Experience working within Agile, Waterfall, or hybrid ...

support robust, production-grade AI deploymentsGuide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoptionWhat We're Looking ForBachelor's degree or higher in Computer Science, AI, or related STEM fieldsHands-on experience deploying LLMs and multi-modal models at scaleStrong engineering background in Python ...

Software Engineering space, including 5 years of engineering management experience. Proven experience leading software engineering teams in cloud-based environments. Bachelor’s degree in Computer Science, Engineering, or related field. Hands-on expertise with AWS architecture, serverless services, EKS computing, and event-driven design. Experience with CI/ ...

projects with limited oversight to improve controllership, scale processes, or add value, documenting SOPs to share knowledge across the team Basic Qualifications Bachelor's degree Experience in commercial finance business partnering or FP&A Experience applying key financial performance indicators (KPIs) to analyses Experience in creating process improvements with ...

represent the organisation at external meetings and industry events. Skills, Knowledge and Expertise To be successful in this role, you will have: A degree level education or equivalent qualification or relevant experience. Strong analytical and problem-solving skills, with the ability to interrogate data, statistics and business requirements ...

infrastructure projects Experience scaling teams from 0 to 20+ engineers Active involvement in the London or European tech community MBA or advanced technical degree What Success Looks Like: 30 Days Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure Established relationships with key stakeholders across engineering, product ...

accreditation activities. Defining software capability aspects of the ATMS technology and product roadmaps. Supporting recruitment, succession planning and capability development. Candidate Requirements Essential Degree in Computer Science, Software Engineering, Engineering or related discipline. Experience managing software engineering teams across the product development lifecycle. Experience leading engineering teams within programme ...

Office applications. Strong analytical and problem-solving capabilities, with the ability to work with complex datasets and identify opportunities for improvement and innovation. A degree in finance, business, computer science, mathematics or a related discipline, together with experience in financial services or a similar environment. Excellent communication and stakeholder ...

thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus all of the following: Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management ...

improve coding standards and system architectureParticipate in software engineering communities of practice and events focused on emerging technologiesRequired Qualifications, Capabilities, and SkillsComputer science degree or equivalent practical experienceHands-on experience with system design, application development, testing, and operational stabilityProficiency in Python (FastAPI)Experience building microservices and APIsExperience with elastic ...