21 of 21 Optimization Problems Jobs in the UK

constraints and trade‐offs for complex ML systems Model Development & Production Design and implement production‐grade ML models (e.g., gradient‐boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real‐world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with … combining logs, metrics, experiments, and domain intuition to identify root causes and drive data‐informed remediation plans Preferred Qualifications Experience with ads, auctions, marketplace optimization, or bidding systems (e.g., CPC/CPA bidding, budget pacing, ranking, ROI optimization, Controllers) Familiarity with multi‐objective or constrained optimization problems ...

translating findings into strategic recommendations for senior stakeholders Build and maintain strong partnerships with technology teams and business stakeholders to scale analytical frameworks, define optimization strategies, and ensure alignment with broader organizational priorities Play a leadership role in transforming and modernizing a global investment bank, championing innovation and influencing … code in a professional or production setting Strong understanding of a bank's balance sheet, treasury operations, and/or demonstrated experience with financial optimization problems Deep knowledge of the different types of financial risk, with the ability to articulate and implement strategies for managing these risks ...

notifications to emails and in-app messages that connect listeners to the content they love. Within this space, the Paloma squad focuses on message optimization: deciding which message reaches which user, through which channel, and at what moment. We’re evolving how messaging works at Spotify — moving from short … term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You’ll Do Design, build, and ship machine learning models that optimize messaging across push, email ...

write production-quality Python code Experience deploying machine learning models into production Track record in payments, pricing, risk decisioning, or other business process optimisation problems Comfortable with complexity, and developing a holistic understanding of a system in order to propose and build solutions A strong ability to communicate ...

multiple degree-of-freedom (3+) equations of motion transformations between multiple frames of reference using Euler angle and quaternions Sensors and signatures Solving optimisation problems Investigate, understand and resolve problems with: Simulink model development Model integration into e.g. system-of-systems models and distributed simulations ...

multiple degree-of-freedom (3+) equations of motion transformations between multiple frames of reference using Euler angle and quaternions Sensors and signatures Solving optimisation problems Investigate, understand and resolve problems with: Model integration into e.g. system-of-systems models and distributed simulations As a National Security ...

working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that … building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working ...

including sensor fusion (RTK GPS, IMU, LiDAR, camera) and fallback strategies; Design and implement navigation and path planning algorithms, including coverage planning and route optimization; Develop and optimise motion planning and trajectory generation, improving turn performance, smoothness, and transitions; Implement and tune algorithms such as A, Hybrid … with outdoor or off-road autonomous systems; Knowledge of RTK GPS, IMU integration, and LiDAR-based localisation; Familiarity with coverage planning and path optimisation problems; Experience with simulation tools (e.g. Isaac Sim, Gazebo); Exposure to AI/ML approaches in perception or planning. What we Offer Work life ...

evaluate solution approaches — drawing on knowledge of mathematical programming and meta‐heuristics. Design and build algorithms, heuristics and solvers bespoke for the unique problems you formulate. Ensure your solutions are scalable and adaptable to our growing operation. Benchmark and evaluate the performance of your solutions. Work closely with … information to proactively evolve your solution to make better decisions. Who Will Thrive in This Role? You want to be close to the problems you are optimising, and decisions your solutions will make, getting hands‐on in the network to see the outcome of your work first hand. ...

real-world constraints Experienced taking technical or algorithmic systems beyond research and into production Highly autonomous and motivated by solving difficult, open-ended problems Bonus points: Experience with … Tools, or similar optimisation tooling Experience with real-time or incremental optimisation Experience with scheduling, routing, resource allocation, or similar optimisation problems Experience combining machine learning/AI with optimisation Previous experience in a high-growth start-up or similarly fast-moving environment Why join: Own a technically ...

mission to make parcel delivery clean, and our drivers are at the heart of it. If you love getting stuck into meaty backend problems with real purpose, you'll feel right at home building the complex, distributed systems behind HIVED's emission‐free delivery network. Every feature … moment they log on to the very last drop of the day. In the Driver Squad, you'll take genuine ownership of problems across the backend systems and tooling that keep our drivers moving. You'll drive features end‐to‐end, from discovery through to deployment and monitoring ...

pick paths, replenishment — the difference between a good answer and a great one moves real money for every operator WareBee serves. As Data Scientist (Optimization Science) you will reach for linear programming, mixed-integer programming, constraint satisfaction, heuristic search, and simulation, and pick the right one for the problem … warehouse, logistics, or supply-chain experience — you’ve seen how a real floor runs (a strong plus) What we offer Real operational problems with real money on the table A small senior team that respects the craft Hybrid in Cambridge, UK or Tel Aviv, Israel — or fully remote ...

operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply … collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces ...

routing optimisation. As part of HIVED’s Routing Squad, you’ll lead the team tackling some of the most complex and intellectually demanding problems in computer science – building systems that decide how parcels move through the city efficiently, reliably, and at scale. This is a rare opportunity … operational problems into robust technical solutions. Strong system design and architectural skills in distributed, production‐grade environments. An appetite for hard optimisation problems – especially routing, scheduling, forecasting, supply‐demand matching, or other constraint‐heavy domains. Strong analytical thinking and the ability to combine technical depth with ...

energy, and transport? Are you willing to drive and shape what this technology becomes next? QMill builds quantum-powered solutions for security and optimisation problems across defence, telecom, finance, energy, and transport. We turn promising quantum algorithms into products organisations can deploy, running on today's real quantum … skills, comfortable working with customers and across technical, product, and business teams Fluent written and spoken English A proactive, creative approach to solving problems Strong focus on efficiency and follow-through Curiosity and drive to explore the potential of quantum computing Passion to engage with customers and other ...

Optimization Engineer Want to solve genuinely difficult optimisation problems at a high-growth AI startup? A rapidly growing AI startup is hiring an Optimization Engineer to take ownership of its core optimisation engine. They're building technology that automates complex operational decisions that are still heavily … Strong Python skills are essential. You don’t need experience solving this exact problem. What’s important is that you enjoy taking hard optimisation problems and turning them into reliable systems that work outside of a research environment. Why join? This is a high-potential startup with ...

route optimisation, demand forecasting, carrier matching, and real-time replanning when things go wrong (and in logistics, things always go wrong). The problems are combinatorially hard, the data is messy, and the stakes are real. The team is a mix of logistics veterans and tech talent from … that matter: cost, time, reliability, and carbon A strong backend engineer with 4+ years of experience, ideally with ML systems exposure. Experience with optimisation problems — vehicle routing, scheduling, or similar combinatorial challenges. Comfortable with Python and production ML tooling. Strong data engineering skills — you can build the pipelines ...

model enablement infrastructure, and help shape the next phase of our hardware‐software roadmap. The role sits at the intersection of machine learning, model optimization, compiler/toolchain development, and hardware‐aware deployment. The ideal candidate brings deep experience building practical inference systems, understands the realities of deploying large … model‐ingestion tooling needed to support a broad model zoo on RAP1 and future platforms. Develop and scale robust quantization‐aware training and model optimization infrastructure. Port, optimize, validate, and benchmark machine learning models for deployment on hardware accelerators and NPU‐class architectures. Improve performance across memory, scheduling, sparsity ...

support forincreasingly large and complex neural network models. Qualifications Deep experience in machine learning systems, model deployment, or AI infrastructure. Strong background in model optimization for edge or accelerated inference, includingquantization and performance tuning. Experience building or extending compiler, toolchain, or graph-transformationinfrastructure for ML workloads. Strong understanding … float and integer execution paths. Experience supporting external customers, partner enablement, or productization of AIplatforms. Background working with both model-level and hardware-level optimization problems. Startup or founder-level experience building end-to-end AI platform capabilities. Equal Opportunity Rivian is an equal opportunity employer and complies with ...

ingestion tooling to support an expanding model zoo on RAP1 and future platforms. Drive the architectural vision for robust quantization-aware training and model optimization infrastructure at scale. Manage the end-to-end process of porting, optimizing, and benchmarking machine learning models for hardware accelerators and NPUs. Lead cross … neural network models. Qualifications Qualifications Proven experience leading or managing teams in machine learning systems, model deployment, or AI infrastructure. Strong background in model optimization for edge or accelerated inference, including quantization and performance tuning. Experience building or extending compiler, toolchain, or graph-transformation infrastructure for ML workloads. Strong ...

WareBee ltd. is seeking a Data Scientist (Optimization Science) to tackle real warehouse optimisation problems and build solvers and heuristics that operate at production scale. You will work with operators, product teams, and engineers to turn constraints into formal models and deliver practical, shippable solutions. You will ...