1 to 25 of 40 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 ...

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 ...

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 ...

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 ...

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 ...

HuggingFace, Langchain, and OpenAI Hands-on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life ...

through collaborative engineering and shared infrastructure. Working at the intersection of AI, cloud, and large-scale infrastructure, we partner with commercial, government, and research entities to accelerate AI adoption across the UK and Europe. Backed by UK Government and private funding, our team of experienced founders and engineers … computer architecture. Familiarity with Agile or other modern technical project management frameworks. Knowledge of modern inference‐serving frameworks (e.g., vLLM). Background in statistics, operations research, or large‐scale datacenter infrastructure. Contributions to open‐source AI or systems projects. Benefits High‐impact role in a rapidly growing ...

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. ...

understand and meet customer requirements effectively. Our team is dedicated to delivering high-quality, end-to-end consultancy services, ranging from operational research and data analysis to P3M. We operate across multiple sectors, including defence, energy, and health. We are looking for a Senior Data Scientist to join ...

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 ...

will work alongside some of the best quantitative researchers and technologists to help evolve our investment capabilities. You will be responsible for performing research, managing data, and developing APIs that will be used to power the investment process along with our flagship portfolio construction and analytics platform - Invesco … experience using third party risk models such as BarraOne or Axioma will be a plus Advanced degrees in quantitative disciplines such as engineering, finance, operations research, or computer science is required Progress towards CFA designation preferred Strong ability to learn and translate abstract principles into systematic algorithmic ...

optionality Integrating third party risk models in various portfolio construction exercises Designing and maintaining procedures and tools that make data management and research more efficient Working closely with other quantitative and technology teams in the firm in leveraging best practices from a financial theory and technological perspective. Formulating … experience using third party risk models such as BarraOne or Axioma will be a plus Advanced degrees in quantitative disciplines such as engineering, finance, operations research, or computer science is required Progress towards CFA designation preferred Strong ability to learn and translate abstract principles into systematic algorithmic ...

paced, high-performance, highly collaborative environment and demonstrate an 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 Consult with global 1000 customers to help them understand, structure, and implement … their digital transformation goals and expand the client footprint. Develop, maintain, and manage the implementation of strategic customer engagement plans. Manage efforts to research and identify customer prospects and targets. Collaborate with sales, engineering, products, and marketing teams to develop new product offerings within existing and new lines ...

first ML hire. What we are looking for A degree in machine learning, computer science, engineering, physics, mathematics, applied mathematics, operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python, ideally using PyTorch, JAX or similar … occasional travel to customer sites in the UK. Nice to have Experience deploying ML models into production. Experience with optimisation, simulation, control systems or operations research. Exposure to industrial or operational data environments. Publications or research experience in scientific ML, machine learning for physical systems or applied ...

management and crew/roster optimisation challenges. You’ll translate operational problems into scalable software and optimisation solutions, partnering closely with product, data/operations research (OR), and customer stakeholders. The role blends people leadership with hands‐on technical direction across architecture, delivery, quality, and reliability. … experience with commercial optimisation solvers (e.g. Gurobi), including parameter tuning, licensing/packaging considerations, and performance troubleshooting. Experience in airline/rail/transport operations, logistics, workforce management, or similar disruption/crew scheduling environments. Familiarity with simulation and scenario generation to support what‐if analysis and resilience planning. ...

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 ...

credit bureau data. Exposure to A/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). ...

understand and meet customer requirements effectively. Our team is dedicated to delivering high-quality, end-to-end consultancy services, ranging from operational research and data analysis to P3M. We operate across multiple sectors, including defence, energy, and health. We are looking for a Senior Data Scientist to join ...

Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions. Specialised Knowledge: Experience in predictive modelling, operational research, deep learning, and time series modelling. Leadership Experience: Proven commercial experience working with business stakeholders, alongside a record of mentoring and developing junior professionals. ...

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++ ...

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 ...

make the right and most cost-effective decisions for patient care and healthcare services. Using the very latest developments in analytics and Operational Research you will be supporting in providing actionable data insight to senior managers and clinicians through the power of advanced analytics. Main duties ...