51 to 75 of 100 MLOps Jobs in the UK

Senior Machine Learning Engineer LLMs & MLOps Remote in the UK, hybrid options Up to £75k Seeking a Senior Machine Learning Engineer to drive digital transformation in a company providing industry-specific software solutions to streamline digital processes and enhance customer experiences. In this role, you'll: develop, and maintain tailor more »

vision and ML applications Build ML models that meet performance, reliability, and scalability measures Prepare data for ML processing and develop infrastructure Contribute to MLOps infrastructure and CI/CD pipelines for ML model deployment Monitor deployed models for performance, proposing improvements to meet objectives Your skills: Background designing and more »

Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Machine Learning more »

NLP) principles and methodologies. Hands-on experience in utilizing open-source Hugging Face models and fine-tuning Language Models (LLMs) to achieve project objectives. MLOps What's in it for you Salary of up to £75,000 dependent on experience The opportunity to work remotely, providing flexibility and autonomy in more »

multi-disciplinary leadership skills and work together with the engineering and operations teams to ensure that systems are secure and scalable. Experienced in DevOps, MLOps and Data Ops concept Must be proficient in using Unix/Linux environments along with coding languages like Shell, Perl, and Python. Must be able more »

insights and features. Develop and deploy scalable machine learning solutions that integrate seamlessly with existing systems and platforms. Collaborate with software engineers, data scientists, mlops engineers and product managers to define requirements and deliver solutions that meet business objectives. Stay current with the latest developments in machine learning and related … with experience in PyTorch, TensorFlow, HuggingFace, transformers, and Python. Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience. Experience with Large Language Models, BERT, Embeddings, and similar technologies. Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform more »

MLOps Engineer (London – visit the office x3 days a week) Xcede are delighted to be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now what to hire an MLOps … decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or platform. Some experience of deploying recommendation engines/recommender systems more »

Prometheus Graphana Cloud provided (preferably GCP but AWS and Azure are also considered) CI/CD with Jenkins or Octopus Nice to have Datadog MLOPS Salary Up to £100K basic + £112.500K RSUs + 7.5% bonus Submit your details for more information about this opportunity. RedCat Digital is acting as more »

Excited to grow your career? Our purpose is to empower people to save and invest with confidence. We are looking for great people to join us, so please come and invest in YOUR future at HL. We know that sometimes more »

Excited to grow your career? Our purpose is to empower people to save and invest with confidence. We are looking for great people to join us, so please come and invest in YOUR future at HL. We know that sometimes more »

project requirements, objectives, and constraints. Process and analyse datasets to extract meaningful insights and features for model development. Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products Optimize and standardize ML training and validation processes, data warehousing and pipelines. Education: Master's or Ph.D. in … as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques. Highly Desirable: Experience working on aerospace-related projects Experience deploying MLOps solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA more »

Senior Data Platform Engineer Up to £80,000 1 day a week in office (flexible) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning more »

for, please go ahead and apply. We'd love to hear from you! About the role Hargreaves Lansdown (HL) are now recruiting for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us … between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant value through intelligent, data-driven decisions. Through robust, scalable MLOps practices, this role supports HL's vision of becoming a leader in AI-driven solutions, optimising operations, enhancing customer experiences, and unlocking new opportunities for … the forefront of deploying cutting-edge machine learning models and providing comprehensive support to ensure seamless integration into production environments Taking ownership of our MLOps platform, spearheading its development, optimisation, and growth Driving the implementation of CI/CD (continuous integration and continuous delivery/deployment) pipelines to streamline the more »

end role where you’ll handle data cleaning, pipeline development and production. You’ll also be heavily involved in prototyping and experimentation, so strong MLOps and R&D skillsets are required. The new suite of chatbots needs to be built from the ground up so Gen AI experience is essential. more »

UK (Hybrid & Contract Inside IR35) Duration: 06 to 12+ Months (Possible Extended) Language: English Required Core Skills: CI/CD pipelines and Agile frameworks MLops Python Nice to have skills: Data engineering LLM and Gen AI Minimum years of experience: 5-8 Detailed Job Description: Polygot Developer, able to code … to quickly pickup multiple technologies and use them in the correct manner Must know CI/CD pipelines and Agile frameworks, preferably with the MLOps context. Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit more »

SENIOR MLOPS ENGINEER HYBRID (LONDON) £80,000-£90,000 COMPANY: Our client is a leading digital healthcare company delivering a range of services directly to people's homes through innovative AI technology. With a rapidly growing teams, they are dedicated to improving healthcare access and outcomes for millions of individuals. more »

Senior MLOps Engineer Contract 4-6 months Fully Remote Start Mid March - 1st April latest We have a need to hire a Senior MLOps Engineer on a 4-6 months contract for a growing Biotechnology company. Your primary responsibilities will include: • Designing and implementing an innovative platform architecture for machine … Working closely with data scientists to comprehend their requirements and ensuring a seamless workflow for model development and deployment. Required Skills Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with more »

GenAI architectural strategy and implementation roadmap for the Insurance domain. You will collaborate with various teams including Enterprise, Application, Data & DevOps Architects, Data Scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design. You will be tasked to select appropriate technologies considering deployment models and … ML solutions utilizing serverless technologies, container/Kubernetes deployments, and GPU compute infrastructure. Hands-on experience with advanced AI architectures, deep learning frameworks, and MLOps capabilities for robust model deployments. Skilled in developing and integrating APIs to serve ML models and building end-to-end solutions integrated with enterprise systems. … Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page. Desired Skills and Experience Insurance, ML, MLOPs, Python more »

Role Title: Senior Consultant Location: London Required Core Skills: -CI/CD pipelines and Agile frameworks -MLops -Python Nice to have skills: -data engineering -LLM and Gen AI Minimum years of experience: 5-8 Areas of responsibility: Detailed Job Description: -Polygot Developer, able to code (or learn quickly) multiple languages … to quickly pickup multiple technologies and use them in the correct manner -Must know CI/CD pipelines and Agile frameworks, preferably with the MLOps context. -Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit more »

models and recommendation systems. Key Responsibilities Define, evaluate and assess AI systems performance Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Explore and implement state-of-the-art algorithms to keep our product on the cutting edge techniques Stay up-to-date with the latest … machine learning frameworks such as PyTorch, TensorFlow or Keras Experienced with foundational Large Language Models (LLMs) APIs Experience in LLMs quantitative analysis Exposure to MLOps practices Familiarity with version control systems (e.g. Git) and agile development methodologies Preferred Qualifications Masters or advanced degree in artificial intelligence, machine learning, natural language more »

Job Description DevOps Engineer with AWS To successfully build and deliver our next-generation cloud-hosted and cloud-native technology platforms. You will work within product teams responsible for the full software development life cycle, from conception to deployment. You more »

MLOPS ENGINEER REMOTE £70,000 - £90,000 COMPANY: A cutting-edge London-based startup specializing in transforming how financial professionals access and utilise data is seeking an experienced AI Developer/MLOps Engineer with LLM experience to join their team. With a strong focus on AI-driven automation and analytics more »

About Us Based in London, UK, we're a seed-stage startup energized by top VCs and angel investors, geared for rapid growth 🚀 Transforming the product design landscape with our pioneering AI technology 🛠️ Innovating in augmented design tools, setting a more »

Job Description DevOps Architect with AWS - Leeds Serve as an AWS specialist, consult and provide technical guidance on AWS design, governance, performance, scalability, security, operations and cost control best practices to ensure we maximize our AWS investment Work with our more »

improvements to business processes and systems. As part of this role, you'll collaborate closely with multifaceted data teams, shape and lead high-performance MLOps teams, and champion the deployment of AI/ML solutions within a dynamic, growth-oriented environment. If you're driven by innovation, possess a keen … change. Responsibilities: Resource Management: Allocate skillful resources for AI product delivery, collaborate with managers within the data organization. Team Building: Assemble a top-notch MLOps team and establish ML development standards. Strategy and Communication: Engage with leadership to craft the team's roadmap, communicate it effectively within and outside the … team of skilled engineers and tech leads. Requirements: Experience : Over 10 years in consulting, tech leadership, and AI/ML development. Skills : Proficiency in MLOps, CI/CD pipelines, and agile development practices. Expertise : Background in data science, software engineering, and design thinking. Management : Demonstrated leadership, coaching, and stakeholder management more »