1 to 25 of 58 Permanent Operations Research Jobs in England

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 ❯

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 ❯

background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences. We are the voice of the customer in Amazon's operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the … big impact on some of the most exciting new ideas that are shaping the future of Amazon. Key job responsibilities You will work with Operations stakeholders to develop models and analysis to drive down the negative impact of operations on Amazon customers' experiences. Ideal candidate will be a … high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of research, and the ability to use data and 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 … business challenge and develop technical and algorithmic solutions to those problems. Who understands the technical software development life cycle and has experience driving research teams towards business solutions. Who drives strategic product communications across organizations providing clarity in decisions. Has experience developing scalable applied 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 application - Able to communicate highly complex More ❯

Relevant degree or equivalent qualification or significant experience of working at degree level in a quantitative subject (e.g. Maths, Statistics, Physics, Economics, Operational Research). Evidence of continued professional development Desirable Project Management Qualification Microsoft certification on PowerBI and Azure Management/leadership qualification or equivalent knowledge at 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 ❯

with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI … for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will: Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges. Interact with customers directly to understand their business problems, aid them in … the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Requirements PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work 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 global impact. … a key role in the next generation of AI powered Conversational Assistants. Key job responsibilities Lead and manage a team of Applied and Research/Data scientists responsible for building conversational assistants. Collaborate with cross-functional teams to build methods to align Amazon's LLMs with human preferences. … in and drive science publications in peer-reviewed venues of repute. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information 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 ❯

is needed to own and deliver outcomes. A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML 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 ❯

on handling terabyte scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your strong management skills will be utilized to help deliver critical projects that cut across organization … can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people … assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow 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 your Data Science Director. We are hiring for three Senior Data Scientists with a range of skills across the following areas: Operational Research; route cause analysis, optimisation & clustering Forecasting, LTV modelling and logistical regression You will be joining a high-calibre team, with significant opportunities for career 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 ❯

clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of forecasting algorithms, leveraging tools from operations research, statistics, and computer science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. 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 ❯