1 to 25 of 38 Permanent Operations Research Jobs in London

You will need to login before you can apply for a job. Sr. Applied Scientist (Operations Research), EU Fulfillment Optimization Sector: Distribution and Warehouse, Operations and Facilities Management, Research and Development, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Have … s EU Fulfillment Optimization team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to … science solutions. BASIC QUALIFICATIONS PhD or Master's degree. Experience programming in Java, C++, Python or related language. Experience in applied research. Background in Operations Research highly desirable or experience in optimization of resource allocation. Experience in building models for business applications. Able to communicate highly complex More ❯

that models how work is distributed across fleets. Our platform uses ML and heuristic algorithms inspired by the best in logistics, ride-sharing, and operations research to drive efficiency. Since launch, we’ve onboarded paying customers and are working with leading waste and recycling firms across the … software at Sky, DAZN, and Bulb and was previously Tech Lead at Otta, scaling from 100k to 1.5m users. The Role: Senior Data Scientist – Operations Research This is a rare opportunity to join as our founding data scientist to build and own the models that power the More ❯

that models how work is distributed across fleets. Our platform uses ML and heuristic algorithms inspired by the best in logistics, ride-sharing, and operations research to drive efficiency. Since launch, we’ve onboarded paying customers and are working with leading waste and recycling firms across the … software at Sky, DAZN, and Bulb and was previously Tech Lead at Otta, scaling from 100k to 1.5m users. The Role: Senior Data Scientist – Operations Research This is a rare opportunity to join as our founding data scientist to build and own the models that power the More ❯

design, test, and improve the algorithms that power routing across Relay's first, middle, and last mile. This role sits at the intersection of operations research and applied data science; it's well-suited to someone who enjoys turning real-world routing challenges into scalable, production-ready … solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and other Data Scientists, to improve how parcels are grouped, sequenced, and routed across the network. You'll also play a key role in shaping our future routing strategy, helping us unlock efficiency … new strategies and operational flows Work directly with data analysts to benchmark routing performance and quantify gains from proposed improvements Collaborate with engineers and operations leads to embed models into planning and execution Translate operational and commercial constraints into tractable optimisation problems Work with MLEs and Staff Data Scientists More ❯

assets supporting strategic decisions around content mix and audience development. Product Analytics: Optimise digital product performance through user journey analysis, feature tracking, and experimentation. Operations Research: Apply forecasting, optimisation, and simulation techniques to improve scheduling, resource allocation, and overall efficiency. Revenue Management: Use advanced modelling to optimise … position. Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. Deep expertise in product and digital analytics, including behavioural segmentation, funnel analysis, experimentation, and lifetime value modelling. Experience with revenue More ❯

Customer Experience (TSA & CX) team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to … BASIC QUALIFICATIONS - PhD, or Master's degree - Experience programming in Java, C++, Python or related language - Experience in applied research - Background in Operations Research highly desirable or experience in optimization of resource allocation - Experience in building models for business application - Able to communicate highly complex More ❯

business teams to define requirements and high-level process/system solutions. Drive standardization of tools and processes to build scalable execution plans with operations team. As part of EU planning standardization team, lead the tools adoption and share best practices across UK and Italy. Manage the timelines with … partner teams to support project launches, and driving improvements. BASIC QUALIFICATIONS Bachelor or equivalent education in Mathematics, Statistics, Computer Science, Operations Research, Logistics, Supply Chain, Economics, Business Administration, or a similar related discipline. Work experience in business analytics with demonstrated proficiency in quantitative analysis. Excellent Microsoft Excel More ❯

Gen AI products, aligning customer needs with machine learning and analytic methods. Provide feedback for product development based on customer interactions. Participate in research to identify emerging AI/Gen AI trends and technologies to develop new products and expand our IP. Lead external communications, including speaking engagements … concepts, product demos, respond to RFIs/RFPs, and prepare sales proposals. What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data More ❯

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-of … 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 … metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code. Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal. About MLCOE The Machine Learning Center of Excellence More ❯

development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences … stand-ups, then transition to developing novel CV algorithms for product features impacting millions of customers. Afternoons often include technical deep-dives, reviewing research papers, and driving technical strategy discussions with leadership. You'll work with massive datasets, optimize model performance, and ensure production readiness. We value your … and work closely with an exceptional group of product, engineering, and science leaders. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods More ❯

to 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. Successful candidates will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from … technical and non-technical audiences, including through presentations and written reports. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods … and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD Amazon is More ❯

your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. … cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results … in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience More ❯

your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. … cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results … in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). Prior More ❯

in sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major More ❯

for your project team, enablingstrong project planning and team performance Your profile: Degreein a quantitative field, such as computer science, engineering,statistics, operational research, data science, or equivalent experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling More ❯

Willingness to work with a geographically distributed team in an extremely fast-paced and challenging environment. Graduate degree in Computer Science, Mathematics, Operational Research, Information Science, Engineering, Statistics is preferred. Certification or exposure to Cloud essentials, SQL, Visualization tools, Advanced Analytics techniques is preferred. Self-driven individuals with More ❯

in Computer Vision who will lead the development of new algorithms and E2E solutions. You will be part of a team responsible for research, design, development, and deployment of algorithms into production pipelines. You will also drive publications of original work in top-tier conferences in Computer Vision … You'll work with massive datasets, optimize model performance, and ensure production readiness. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods … and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an More ❯

years to come. You'll be working at the intersection of: -Cutting-edge AI/ML technologies -Large-scale automation systems -Complex supply chain operations -Autonomous decision-making agents Required Experience: Proven track record of delivering significant business value through ML solutions in production environments. 5+ years of hands … interest in emerging AI technologies, including Agentic AI and LLMs. Knowledge of software engineering best practices and agile development methodologies. Familiarity with supply chain operations or large-scale logistics. Experience with AWS services and cloud-based ML deployments. Advanced degree in Computer Science, ML, or related field. Why This … experience designing autonomous decision-making systems. Exposure to Amazon-scale systems or large-scale distributed ML systems. Prior experience with supply chain, logistics, or operations research problems. Proficiency with AWS services, especially for cloud-based ML deployment. Understanding of software engineering best practices and agile methodologies. Experience More ❯

and iterate to modify based on insights. What you'll bring to the table: Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it More ❯

techniques, with expertise in several specific, technical areas (for example: SQL, Python (preferred), mathematical modelling, sampling and statistical theory, systems thinking and operational research methods). Strong communication skills, both verbal and written - you can explain your ideas in a way the choice makers understand and can act More ❯

Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact. As … junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience in building machine learning models … for business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience in building More ❯

Postdoctoral Scientist, EU Science and Technology Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. … on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain. We work backwards from Amazon's customers aiming to … a relevant field, received within 2 years of starting the program Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields Experience in data science and quantitative research Proficiency in technologies relevant to the subfield More ❯

tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position … are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development More ❯

tasks and facilitate discussions. Self-motivated and able to perform independently and collaboratively. Preferred Qualifications Bachelor's Degree in Computer Science, Statistics, Operational Research, Engineering, or related quantitative fields. Experience in Analytics or Business Intelligence environments. Knowledge of advanced machine learning techniques such as GBM, random forest, etc. More ❯

any other programming language or statistical software Degree level education, or equivalent, in a quantitative field such as Mathematics, Statistics, Mathematical Finance, Data Science, Operations Research, Quantitative Economics or Engineering A working knowledge of Python What else you need to know: This role permanent role is based More ❯