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£55000 - 60000 GBP - Onsite WORKING - Location: Central London, Greater London - United Kingdom Type: Permanent - Job Title: Solutions Engineer - Location: London (Hybrid - 3 days per week) Salary: £60,000 + bonus and perks - About Our Client - Our client is a global group of life-saving technology companies, united by a mission to create a safer, cleaner, and healthier future for everyone. Their portfolio spans over 40 companies worldwide, delivering innovative solutions that address critical challenges in health, safety, and the environment. With an ambitious digital transformation strategy underway, they are investing heavily in connected, smart, and data-driven technologies to modernise operations and accelerate innovation. This is an opportunity to join a forward-thinking organisation recognised as one of the UK's most admired companies, with over 7,000 employees
£55000 - 60000 GBP - Onsite WORKING - Location: Central London, Greater London - United Kingdom Type: Permanent - Job Title: Solutions Engineer - Location: London (Hybrid - 3 days per week) Salary: £60,000 + bonus and perks - About Our Client - Our client is a global group of life-saving technology companies, united by a mission to create a safer, cleaner, and healthier future for everyone. Their portfolio spans over 40 companies worldwide, delivering innovative solutions that address critical challenges in health, safety, and the environment. With an ambitious digital transformation strategy underway, they are investing heavily in connected, smart, and data-driven technologies to modernise operations and accelerate innovation. This is an opportunity to join a forward-thinking organisation recognised as one of the UK's most admired companies, with over 7,000 employees
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This is a fantastic opportunity for an experienced engineer with a cloud-first mindset who thrives on creating innovative prototypes and scalable solutions. Do you want to design and deliver solutions using the latest cloud services, AI, and emerging technologies to solve real-world challenges? * Supporting the delivery of group-wide digital initiatives, including in-house Generative AI solutions. * Building reusable playbooks, architectures, and templates to accelerate solution delivery across companies. * Partnering with stakeholders to translate business needs into technical solutions that are secure, scalable, and maintainable. * Strong understanding of solution architecture principles (scalability, security, performance). £50,000 to 60,000 GBP -
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We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. The physical design team sits within the wider silicon design team which includes RTL, verification and DFT and with whom we collaborate extensively. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions. Candidates will be expected to work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and to contribute meaningfully to the overall efficiency and success of the Physical Team. * A good breadth of experience with physical design flows including: Floorplanning/Budgeting, Synthesis, Place and Route, Clock CTS, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)
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Were looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle. * Proven experience in MLOps or DevOps roles within machine learning environments - Job Description - Location: Newcastle, England or Erskine, Scotland - Type:Full-Time - Remote Work:Hybrid options available - Salary:Competitive + Benefits - About the Role - Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Key Responsibilities * pandas, NumPy, scikit-learn * XGBoost, LightGBM, CatBoost * TensorFlow, Keras, PyTorch * ONNX, TensorRT, TensorFlow Serving, TorchServe * MLflow, Kubeflow, Azure ML Pipelines * Experience working with distributed data processing using PySpark. * Solid understanding of software engineering principles and version contr
Were looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle. * Proven experience in MLOps or DevOps roles within machine learning environments - Job Description - Location: Newcastle, England or Erskine, Scotland - Type:Full-Time - Remote Work:Hybrid options available - Salary:Competitive + Benefits - About the Role - Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Key Responsibilities * pandas, NumPy, scikit-learn * XGBoost, LightGBM, CatBoost * TensorFlow, Keras, PyTorch * ONNX, TensorRT, TensorFlow Serving, TorchServe * MLflow, Kubeflow, Azure ML Pipelines * Experience working with distributed data processing using PySpark. * Solid understanding of software engineering principles and version contr
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