22 of 22 Permanent Operations Research Jobs in London

Software Engineer III, GenAI Data Operations Research, XRGoogleLondon, United Kingdom**Description**Software Engineer III, GenAI Data Operations Research, XR \_corporate\_fare\_ Google \_place\_ London, UK \*\*Mid\*\* Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant … generative pipelines. Additionally, you will integrate automated evaluation tools and filtering stages to ensure data diversity and quality, bridging the gap between advanced research and production-ready applications. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well ...

across the organisation. Influence company-wide analytics and product science standards. Preferred Experience 8+ years of experience in Data Science, Product Analytics, Decision Science, Operations Research, Applied Science or related fields. Demonstrated success influencing product strategy through data. Strong experience with experimentation, causal inference and measurement frameworks. … Principal or equivalent level. Technical Skills Expert-level Python and SQL Experimentation and statistical inference Machine Learning and Predictive Modelling Causal Inference Optimization/Operations Research (preferred) Large-scale data processing BI and visualization tools Cloud-based analytics environments Nice to Have Airline, transportation, logistics, marketplace ...

Software Engineer III, GenAI Data Operations Research, XR corporate_fare Google place London, UK Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience … generative pipelines. Additionally, you will integrate automated evaluation tools and filtering stages to ensure data diversity and quality, bridging the gap between advanced research and production-ready applications. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well ...

analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation … tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. ...

leading quantitative hedge fund looking to hire exceptional PhD candidates from the world’s top universities. This is an opportunity to apply advanced research to real financial markets. You will work alongside experienced quantitative researchers, traders and engineers, with access to significant data, computing resources and direct feedback … nearing completion (within next 12 months max) from a leading global university Strong academic background in Mathematics, Statistics, Physics, Computer Science, Machine Learning, Econometrics, Operations Research or a related quantitative field Evidence of exceptional research ability, such as publications, academic awards or work on technically ...

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 ...

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 participation in knowledge‐sharing community. Required Qualifications, Capabilities … quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid background in NLP, LLM, and graph analytics plus hands‐on experience and solid understanding of machine learning and deep learning methods. Hands ...

continuous learning. What you'll bring Essential criteria: Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on experience developing solutions with Large Language Models. Hands-on experience building ...

Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire ...

quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting edge systems … large scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on their quantitative research platform and process-driven approach, they also runs discretionary strategies to take advantage ...

accessible to everyone. THE TEAM ~90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‐principles ...

those workflows become more automated and AI-enabled, we need infrastructure that is observable, measurable, resilient, and designed for continuous improvement. Data Management & Operations (DMO) is looking for a Technical Product Manager to help shape the next generation of data manufacturing infrastructure. This role will partner closely with … semantic models, knowledge graphs, entity resolution, metadata governance, or AI‐ready data initiatives. Academic or professional background in computer science, data engineering, statistics, economics, operations research, or a related technical discipline. You’ll be successful in this role if you: Improve the velocity and variety of content ...

movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys ...

facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. Role: Using the firms automated trading framework to research and apply strategies Using progressive statistical approaches to analyse data and ascertain opportunities for trading To build upon and develop strong understanding of market structures … During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

accessible to everyone. The Team ~110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‐principles ...

accessible to everyone. THE TEAM ~110 people , more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‐principles ...

Google London is seeking a Software Engineer III for GenAI Data Operations Research in XR. You will architect scalable GenAI data generation and inference pipelines, integrate automated evaluation, and work on metadata extraction for XR projects. Responsibilities include building scalable infrastructure, running large-scale experiments with … deploying pipelines on accelerators such as TPUs/GPUs, bridging research and production in a fast-paced environment. #J-18808-Ljbffr ...

Google London is seeking a Software Engineer III in GenAI Data Operations Research for XR projects. You will architect and scale production pipelines for at-scale data generation, metadata extraction, and synthetic datasets used in Android XR initiatives. You will run large-scale DL experiments, leverage ...

last‐mile assets. Your mission is to deliver a single optimised plan that maximises profit and minimises lateness, bridging the gap between advanced research and live operational impact. Collaborating with Product and Engineering teams … will integrate data science models into our global backend services to enhance the Ocado Smart Platform. Beyond technical delivery, you will scale our operations by fostering a high‐performing culture, mentoring team members, and driving best practices. Key Responsibilities Lead a multidisciplinary team of data scientists and software engineers ...

federated and non-retentive . We are looking for a Lead Machine Learning Engineer who owns the engineering bridge experimentation between deep model research and the production ecosystem we ship. You would run the seam directly: translating research findings into engineering work, regressions into research … modern models under realistic constraints: tool use, multi-step reasoning, memory, parallel execution. Open-source contributions to evaluation harnesses, simulation frameworks. A published research idea you shipped as customer-visible product behaviour. What we offer Base salary of £95,000 – £140,000 annually (dependent on experience). Meaningful ...