26 to 40 of 40 AI Model Optimisation Jobs in England

Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. MFK Recruitment has successfully recruited four Engineers to this company over the past five years … This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. You will help translate recent AI research into reliable products used within demanding defence and security environments. The position is predominantly office and customer-site based in West London, although ...

seeking a Senior Machine Learning Engineer to lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines. In this role, you will transition state-of-the-art Small Language Models (SLMs) and knowledge graph pipelines into air-gapped, degraded, and bandwidth-constrained tactical hardware. … will ensure all deployed AI capabilities comply with UK Defence standards for Dependable AI (JSP 936) , delivering deterministic, explainable, and human-in-the-loop decision-support tools for intelligence and operational users. Edge Model Optimization & Deployment: Quantize, fine-tune, and optimize open-source SLMs (e.g., Gemma ...

Overview: We are building a unified developer experience that helps machine learning engineers move from a trained model to an optimized, validated and deployable artifact on Arm-based systems. Our AI tooling will bring together model graph inspection, hardware compatibility analysis, graph partitioning, quantization and other performance … will evolve alongside Arm's roadmap. We are looking for a Principal Product Manager to own the product strategy and delivery of Arm's AI tools. Together, we will turn a portfolio of powerful but fragmented capabilities into a coherent product that meets developers in their existing workflows, including ...

mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span … keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible ...

Описание: Bohringer Ingelheim’s AI Accelerator builds production-quality AI capabilities to improve understanding of disease biology and increase the probability of successful medicines. The AI Systems team designs, builds and deploys multimodal foundation models across biomedical data to enhance and accelerate portfolio decision-making. Задачи: Bring … engineering expertise into architectural design, ensuring foundation models are efficient and scalable; Implement biomedical foundation model components, including training code, data loaders, tokenisers, inference logic and fine‐tuning interfaces; Translate validated research prototypes into robust, production-quality model artefacts and contribute to benchmarking and performance evaluation; Optimise validated ...

Description We're partnering with one of Europe's most exciting AI-native startups that's building an autonomous AI platform to fundamentally reinvent how new materials are discovered. Rather than relying on simulations alone, they're combining cutting-edge machine learning with a high-throughput experimental laboratory … creating a closed-loop system where AI designs new materials, experiments validate them, and real-world results continuously improve the models. Backed by $60M from leading global investors, they've assembled an exceptional team spanning AI, physics, materials science and engineering, and are now looking for outstanding Machine ...

Software Engineer, Model Inference, DeepMind corporate_fare DeepMind place London, UK ; Mountain View, CA, USA Copy link Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 2 years of experience in deploying and maintaining machine learning models in a live production environment. Experience … profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming ...

DescriptionWe're looking for a Senior Machine Learning Engineer to join our Outfits Discovery team, where we're building the next generation of AI-powered fashion experiences at ASOS.Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion … trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences. You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery ...

performance, addressing bottlenecks in speed, scale, and quality. Identify opportunities to automate tasks, eliminate redundancies, build performant tests, and improve the overall velocity of model releases. Gain a deep understanding of serving frameworks, pre-processing pipelines, caching mechanisms, and other relevant technologies. Leverage roofline analysis, hardware-level profiling … live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU).Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch ...

mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing … working on a wide range of challenging problems within a mission-driven team. In this role, you will be at the forefront of bringing AI research to life. You'll work directly with researchers and engineers to optimize and deploy large language models (LLMs) like Gemini onto Google ...

production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch … programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance-optimized kernels. Understanding of LLM architecture and inference performance dynamics (e.g., Transformer models, memory bandwidth ...

learning technologies. Past projects have included: Evaluating alternative accelerators for ML workloads Multi-node distributed training to understand trade‐offs in networking technology Optimising model inference to minimise latency or maximise throughput Understanding and optimising different storage technology to maximise bandwidth Evaluating the latest hardware and software … data‐science competitions, such as Kaggle) Strong object‐oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model‐inference expertise; you do not need to have all of the above A passion ...

Brave is seeking an AI Systems Researcher/Research Engineer in London (Hybrid) to advance on-device ML and privacy-focused technologies. The role requires a deep background in AI systems research, ML model optimization, and experience with modern ML frameworks. You will contribute to high-value ...

including offer propensity, churn prediction, subscription ranking, and cross-offer optimization — serve decisions across every Prime Video commerce surface. We are evolving from siloed model optimization to a unified system that coordinates across the full customer journey. We are a product development team that partners closely with cross-functional … software engineering teams- Experience in designing experiments and statistical analysis of results- Experience owning and delivering end-to-end product strategy for ML/AI-powered consumer products.Preferred qualification - Experience driving direction and alignment with cross-functional teams- Experience with subscription or commerce business models and LTV-based decision ...

environments and customers. The role emphasizes backend system design, end-to-end ownership, and collaboration with researchers. You will contribute to fault-tolerant services, model optimization, observability, and platform discovery, while staying #J-18808-Ljbffr ...