1 to 25 of 78 Permanent Operations Research Jobs in England

Description - Senior Operations Research Scientist (17178) Job Description Senior Operations Research Scientist ( 17178 ) Description Senior Operations Research Scientist INTRO We are easyJet – a FTSE listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. … Promise Behaviours - we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet. READ ON IF YOU Have significant experience delivering operations research and optimisation solutions within complex operational environments. Enjoy solving large-scale routing, scheduling, capacity planning and resource allocation challenges using advanced mathematical ...

DescriptionSenior Operations Research ScientistINTROWe are easyJet – a FTSE listed, multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easyJet customer, and you’ll know that there is no more iconic … easyJet? Our Promise Behaviours - we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.READ ON IF YOU> Have significant experience delivering operations research and optimisation solutions within complex operational environments.> Enjoy solving large-scale routing, scheduling, capacity planning and resource allocation challenges using advanced ...

beneficial AI systems.About the roleAnthropic is seeking a Contracts Manager to join our team in London. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely … running local enablement sessions to keep business teams informed and aligned. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams.Key responsibilitiesDraft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including ...

next chapter of our growth, we'd love to hear from you.About The RoleWe're hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment.You'll join either our Pricing or Matching team … ambiguous problemsResearch, prototype, and ship ML and optimisation models into productionContinuously improve existing algorithms and identify opportunities for new onesRequirementsMaster's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisationStrong foundation in mathematical optimisation or mathematical programmingSolid knowledge ...

lives through Monzo ️ðLondon/Cardiff/UK Remote | ð113,200 - 145,200 + equity + Incentive Awards tied to your performance + BenefitsOur Operations Machine Learning team We’re building the machine learning and optimisation systems that help Monzo provide fast, efficient and resilient customer support at scale.You … excited to grow into a broader leadership role.Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.You’ll lead a growing team of Machine Learning Scientists, embedded ...

joining the Network Efficiency team. We work at the heart of Deliveroo’s logistics engine, collaborating with Engineering, Analytics, Machine Learning and Operations Research to optimise real-time predictions and dispatch decisions across all our markets.Here’s what your day-to-day might look like:Design … from inception to delivery, collaborating across disciplines to ensure we ship high-quality, high-impact solutions.Drive cross-functional alignment with Finance, Legal, and Strategy & Operations teams globally to bring new features to market.Translate complex ambiguity into clear execution plans, ensuring the team remains focused on the highest-leverage opportunities.What ...

with minimal supervision.Analyze large, diverse datasets to extract impactful insights that guide Exchange product and pricing strategy.Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products.Apply and implement advanced statistical and machine learning methods to solve complex business problems.Conduct exploratory … working experience in a Data Science capacity (adjust to 5+ if Senior).Master’s degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field.Strong ability to manipulate, analyze, and interpret large, complex datasets independently.Deep understanding of advanced statistical techniques (e.g., hypothesis ...

driven perspectives that help our clients achieve their most critical goals. To learn more about Houlihan Lokey, please visit HL.com. Overview/ScopeThe Data Operations Specialist is responsible for owning and advancing enterprise-wide data standards, processes, and controls. This role serves as a senior individual contributor within Data … Operations, providing subject-matter expertise, operational leadership, and strategic execution across the data lifecycle. You will design and drive initiatives that improve data quality, resilience, governance, and scalability, while acting as a trusted partner to business leaders and technology teams.ResponsibilitiesOngoing Data Management: Own and optimize Data Operations pipelines ...

collaborative analytical practitioner who balances statistical rigour with fast paced commercial delivery.EssentialDegree level qualification in Data, Mathematics, Statistics, Computer Science, Economics, Operational Research, Engineering, or a similar quantitative discipline.Strong SQL proficiency and practical Python coding capabilities.Proven capability in using AI tools (Gemini preferred) to speed up code development ...

collaborative analytical practitioner who balances statistical rigour with fast paced commercial delivery.EssentialDegree level qualification in Data, Mathematics, Statistics, Computer Science, Economics, Operational Research, Engineering, or a similar quantitative discipline.Strong SQL proficiency and practical Python coding capabilities.Proven capability in using AI tools (Gemini preferred) to speed up code development ...

throughput, model or component reuse, forecast quality, adoption, control effectiveness, and business value.Governance, Partnership & Culture Coordinate with Data & AI, architecture, cyber, infrastructure, risk, operations, legal, compliance, and vendor teams where products depend on shared platforms or require specialist review. Represent quantitative product priorities in Investment Technology, Data … case governance forums, providing transparent rationale for roadmap and investment decisions. Build trusted relationships with investment team members, quantitative engineers, risk professionals, and operations teams across regions. Education & Qualifications: Bachelor's degree required; advanced degree preferred. Quantitative discipline such as mathematics, statistics, engineering, computer science, economics, operations research ...

Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation, and participation in our knowledge sharing community. Develop state … Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with reasonable industry experience, or an MS with significant industry or research experience. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments ...

algorithms and how to tweak them or derive from them to achieve similar results at large-scale. Some traveling is expected.Responsibilities:Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite. Assist and enable … customer teams to seek, understand, validate, interpret, and correctly use new data elements.Qualifications:MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, or a related field.Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra ...

Deep Learning with hands‐on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Develop state … Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design ...

Drive Firm‐wide initiatives by developing large‐scale frameworks to accelerate the application of machine learning models across different areas of the business Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or an MS with significant years of industry or research experience in the field Solid background in NLP, LLM and graph analytics and hands‐on experience and solid understanding of machine learning ...

Drive Firm wide initiatives by developing large‐scale frameworks to accelerate the application of machine learning models across different areas of the business Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands‐on experience and solid understanding of machine learning ...

tweak them or derive from them to achieve similar results at large-scale. Some traveling is expected. Responsibilities: Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applicationsleveragingthe C3 AI Suite. Assistand enable C3 AI's customers to build … customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics,Operations Research, or a related field. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background ...

areas of the businessRequired qualifications, capabilities, and skillsSolid background in NLP and LLMs, and solid understanding of machine learning and deep learning methodsPublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalPhD in a quantitative discipline, e.g. Computer … Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the fieldExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments ...

enhancement of systematic fixed-income strategies.What We’re Looking ForThe ideal candidate will have:An advanced degree in Finance, Financial Engineering, Mathematics, Computer Science, Operations Research, Economics, Electrical Engineering, or a related field.Strong Python programming skills and deep familiarity with the Python ecosystem.Experience working with SQL databases.Excellent … preferred but not required.Deep desire to understand and outperform the markets.Data science and machine learning skills are a strong plus.Exposure to modern development and operations tools, such as Airflow, Kubernetes, or similar technologies, is a plus.Prior fixed-income trading or portfolio management experience is not required.London, UKSummaryLocation: London, UKType ...

demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems.About the teamOur team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into multiple observability … machine learning models for business application- Experience in applied research- PhD in a relevant field (engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field), or equivalent relevant work experiencePreferred qualification - Experience using managed ML/AI solutions- Experience with ...

e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep …/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality codePublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalAbout MLCOEThe Machine Learning Center of Excellence (MCLOE) team ...

Team Leader - Process Automation, Quality & Data Operations - Sustainable Finance Data Location London Business Area Data Ref # 10051529 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around … automation, ensuring we deliver high-quality AI-ready data at scale. In this role you will partner closely with Product, Engineering, and internal Operations to re-design workflows, embed automation, and reduce manual effort. You will also build and manage a high-performing vendor portfolio with clear SLAs, robust ...

Amazon's freight transportation network, from network design and pricing to real-time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real-time execution depends on state-of-the-art optimization and artificial … qualifications- 5+ years of building machine learning models or developing algorithms for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience ...

supported by senior management and mentors to help ensure your success.Candidates should be able to understand complex issues at the intersection of mission, operations, business and technology, and communicate that complexity with clarity. Successful candidates will thrive in a fast-paced, high- performance, highly collaborative environment and demonstrate … ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science.Responsibilities:Develop and execute a comprehensive sales strategy to drive revenue growth within the defence sector, targeting key individuals within defence organisations ...

supported by senior management and mentors to help ensure your success. Candidates should be able to understand complex issues at the intersection of mission, operations, business and technology, and communicate that complexity with clarity. Successful candidates will thrive in a fast-paced, high- performance, highly collaborative environment and demonstrate … ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within the defence sector, targeting key individuals within defence organisations ...