51 to 75 of 235 Machine Learning Jobs in the East of England

when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

Qubitera Ltd. is seeking a Machine Learning Engineer/AI Research Engineer to join a small core team in Cambridge, working at the intersection of modern machine learning and quantum computing. The role is hands-on across research, design, coding, evaluation, and iteration. You'll design ...

semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning use‐case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR … agentic AI. Knowledge of applied AI and its commercial application – Microsoft 365 Copilot, Copilot Studio/agents, Azure AI and OpenAI services, and machine learning use cases. Working knowledge of the UK regulatory and compliance environment as it applies to data and AI – UK GDPR and the Data ...

iPhone/iPad/Mac/Watch SoCs. You will model new, emerging workloads such as Augmented Reality (AR) and Machine Learning (ML). You will use these models to study a range of performance and power trade-offs in our SoCs. Your work will be highly visible … about the state of the art in SoC IP and chip-level architecture including network-on-chip C++ modeling of graphics, camera, and ML dataflow, network-on-chip and integration with other SoC models Running performance simulation of future applications Careful analysis and presentation of simulation results Tuning ...

extraordinary developer experience across command-line tools, Python, Jupyter notebooks, IDEs, CI and AI coding agents. Help developers use Arm's tooling within familiar ML frameworks including PyTorch. Prioritize capabilities that increase model compatibility with Arm accelerators, ensuring that developers can benefit during pre-or-post Silicon. Turn UX research … product and market data into roadmap decisions. Incorporate groundbreaking approaches to agentic model optimization, including safe and reproducible automation. Develop partnerships with ML frameworks, runtime providers, silicon partners and accelerator vendors. Required Skills and Experience : Are you motivated by translating technical challenges into clear product decisions? If you are comfortable ...

over 50 countries and counting, as a key part of the Coca-Cola System. Whether you get your coffee in a store, from a machine, at home, or on the go – we’ve got you covered. Turn complex people data into trusted insight that shapes decisions across Costa. … accurate, compliant and audit-ready outputs, including Gender Pay Gap reporting, pensions audits, headcount reporting and regulatory submissions. Developing advanced insights, including predictive and machine learning models (such as attrition risk, absence and workforce forecasting), that move beyond describing what happened to recommending targeted actions. Driving automation, performance ...

understanding industry trends like generative AI and developing our future computing devices that will power artificial intelligence. This touches all aspects of computing including machine learning, but also security, energy efficient performance, and software ecosystems. Responsibilities: As a member of a versatile team, you will work closely with … communicate clearly with both expert and non-expert audiences. “Nice To Have” Skills and Experience : Arm architecture fundamentals. Vector processing and parallel programming. Machine learning, agentic AI. Robotics & Simulation Frameworks. Architecture performance analysis and optimisation In Return: In addition to a competitive salary and comprehensive rewards package ...

next-generation GPUs. Core responsibilities include coding and debugging a performance and functional model of the GPU; implementing modern hardware features such as machine learning for AI, ray tracing, mesh shading, and more. Other responsibilities include working with the team to ensure model accuracy, feature validation and correlating … debugging performance issues and correlating multiple models Understanding of data analysis tools such as: Tableau, pandas, Excel, matplotlib, etc. Experience working with cutting edge machine learning and/or graphics applications/games/benchmarks At Apple, base pay is one part of our total compensation package ...

life. Role Our fulfilment centres are like living, breathing cities of automation: hundreds of autonomous robots collaborating to fulfil customer orders, AI and machine-learning systems making real-time decisions, conveyor systems spanning miles, robotic arms handling packages with incredible precision, and automated storage and retrieval systems redefining … industrial automation programming Smart sensor technology and IoT integration Predictive maintenance and performance optimisation through data analytics Safety systems for human-robot collaboration Machine learning applications and wider Industry 4.0 technologies Here at Amazon, it's in our nature to learn and be curious. Within this apprenticeship ...

focusing human judgment where it matters most. Key Responsibilities Design end-to-end materials informatics solutions, applying deep knowledge of materials science, chemistry, and machine learning to translate client R&D problems into architectures spanning data, models, and user-facing applications. Work agent-first, using AI coding assistants … World-class colleagues. You will work alongside some of the smartest, kindest scientists and engineers around. Continuous learning. Enthought’s training programmes in Python, machine learning, and scientific computing are open to you. A global, collaborative culture across our Austin, Cambridge, and Tokyo offices. Flexible hybrid work based ...

forecasting, segmentation and data storytelling across the team. Apply advanced hands-on analytics using Python/R, SQL, Power BI and relevant statistical or machine learning techniques, ensuring outputs are robust, scalable, automated where appropriate and suitable for repeated business use. Own and govern … used across multiple business areas. Advanced hands-on capability in SQL, Python or R for advanced analysis, automation, statistical modelling, forecasting, experimentation, segmentation or machine learning use cases. Demonstrable experience partnering directly with Business Partners, heads of function, directors or equivalent senior leadership audiences. Proven ability to coach ...

method clearly matters as much as building it. Key Responsibilities Design end-to-end scientific solutions, applying deep knowledge of statistics, optimisation, and machine learning to translate client R&D problems into architectures spanning data, models, and user-facing applications. Work agent-first, using AI coding assistants … World-class colleagues. You will work alongside some of the smartest, kindest scientists and engineers around. Continuous learning. Enthought’s training programmes in Python, machine learning, and scientific computing are open to you. A global, collaborative culture across our Austin, Cambridge, and Tokyo offices. Flexible hybrid work based ...

scientists; ensure bar-raising execution across complex, cross-functional AI programs. End-to-End Solution Delivery: Define, build, optimize, and deploy scalable AI/ML and computational modeling solutions across structured and unstructured data using classification, regression, clustering, deep learning, NLP, graph learning, recommendation systems, and more. Problem … innovation. Capability Uplift and Training: Provide expert consultancy and training to elevate AI, data science, and computational practices; foster a culture of continuous learning and digital innovation. Governance and Risk Management: Set clear deliverables, manage risks, and communicate outcomes, opportunities, and limitations with transparency. External Reputation: Publish, present ...

team scopes the next engagement. Why You! Required Experience Strong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations. A track record of taking complex, ambiguous business problems and turning them into structured, sized opportunities with … operational teams day to day, building trusted relationships and turning their pain points into AI-shaped opportunities. Comfortable technical fluency in modern AI/ML — enough to design realistic engagements with engineers and avoid hype-driven choices. Proven experience redesigning business processes at a detailed, step-by-step level ...

role within the Chan Zukerberg Initiative -funded rare-disease Digital Twin program. The role combines strong bioinformatics and omics expertise with practical AI/ML and systems-modelling capability. The post holder will process and integrate patient-derived transcriptomic, single-cell and other multi-omics/phenotypic data; map these … data onto reusable Digital Twin models; integrate mechanistic and AI/ML components; construct and personalise patient- or patient-group-specific Digital Twins; and lead their biological application, benchmarking and validation. The post holder will also have substantial scope to develop hybrid mechanistic-AI methodology rather than acting solely ...

back into how the team scopes the next engagement. Required Experience Strong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology‐led organisations. A track record of taking complex, ambiguous business problems and turning them into structured, sized … multi‐initiative workstreams: capturing opportunities embedded in the business, sizing value, and owning outcome‐based delivery. Comfortable technical fluency in modern AI/ML — enough to design realistic engagements with engineers and avoid hype‐driven choices. Strong individual contributor instincts — you produce quality artefacts, not status updates. Preferred Experience Experience ...

Limited's Central Technology Machine Learning Group is seeking software engineers to join the ML compiler development team in Cambridge. You will contribute to the design and implementation of an AI/ML compiler, ensuring it integrates with the ML software stack and collaborates with specialists across … company. You will work in a hybrid model, tackling diverse challenges in ML graph compilation, model ingestion, memory allocation, and performance optimisation while enjoying a competitive #J-18808-Ljbffr ...

make them accessible to colleagues across various business functions. This role combines technical expertise with exceptional facilitation skills, focusing on creating practical, role-relevant learning experiences. Key Responsibilities: Deliver engaging instructor-led, virtual, and blended training on generative AI, machine learning concepts, and approved AI tools. Convert … business and technical requirements into inclusive learning journeys, facilitator guides, assessments, and reusable digital content. Maintain current learning materials as AI products, legislation, and industry practises evolve. Teach colleagues responsible AI usage, focusing on data protection, cyber security, and accessibility. Collaborate with subject-matter experts to ensure ...

cloud platforms (AWS, Azure or GCP). Experience with Git, CI/CD or Agile practices (from university or projects). Familiarity with machine learning basics (e.g., scikit-learn) and an interest in applying predictive analytics to identify trends and quality risks. Awareness of quality and continuous improvement … bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic ...

Must Haves): Education: Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or a related field. Experience: Software, data, or machine-learning engineering, including production LLM applications. Technical Expertise: Proficient in Python, R, and R Shiny with a strong grasp of LLM APIs, SQL, Snowflake ...

online application form. Please ensure that this is completed in full in order that your application can be reviewed. Shape the future of immersive learning XR Studios is looking for a skilled and creative Senior Experience Engineer to lead the technical development of immersive learning experiences. … work at the heart of a growing studio that brings together extended reality (XR), simulation, 3D content and emerging technologies to create meaningful learning, research and commercial projects. Working closely with the Studio Lead, you'll take ideas from early concept and prototype through to high-quality deployment ...

Client Server Limited is seeking a Python Software Engineer (Machine Learning AWS) with a focus on productionising ML models for insurance underwriting and pricing systems. This role offers flexible remote working from England and collaboration within a global team. You will join a cross-functional group, work with … Data Scientists and ML Engineers, and contribute to a variety of ML projects across the full development lifecycle. #J-18808-Ljbffr ...

looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams … centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML ...

Description: Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML … ingestion, low-level hardware programming, efficient memory allocation and performance optimisation. Responsibilities: You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire ...

simulators, run experiments and verify results, including the reward design, sandboxing and checks that catch invalid or reward-hacked outcomes. Train surrogate and ML performance models that predict IPC and PPA impact and reduce simulation cost. Characterise emerging workloads on CPUs, such as on-device LLM inference, matrix and vector … papers critically. Please note that visa sponsorship is not available for this contractor role. Desired: PhD (completed or in progress) in computer architecture or ML systems. Publications at ISCA, MICRO, HPCA or ASPLOS, or at MLSys, NeurIPS or ICML. Experience with ML-based prefetchers or branch predictors, including ...