76 to 100 of 117 MLOps Jobs in the UK

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 »

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 »

Job DescriptionSENIOR MLOPS ENGINEERHYBRID (LONDON)£80,000-£90,000COMPANY: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.ROLE:Deploy 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 »

Python and MLOps Developer - London - Hybrid My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and often ineffective workarounds for collaborations between trusted partners. My client … accelerating the delivery of critical medicines to those in need. Thanks to growth, they're seeking a senior Python Software Engineer with expertise in MLOps and ideally desktop app development to join their Engineering team. This role involves developing a cutting-edge desktop application and its associated Python backend. The … maintaining flexibility and robustness across different environments. Key Technologies Needed for the Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies 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 »

rollout and continuous improvement. - Establish best practices, standards, and processes for ML model development, validation, and production deployment, leveraging cloud infrastructure (AWS, Azure) and MLOps principles. - Develop and implement robust performance metrics and KPIs to measure the success and impact of ML and LLM initiatives, ensuring alignment with business objectives … science teams, fostering a culture of innovation and collaboration. - Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation). - Proven more »

Nestlé Information Technology is the digital arm of the world's largest nutrition, health, and wellness company. With 150+ years in business, 2,000+ brands, and 270,000+ diverse team members-you're joining an organization that's revolutionizing food more »

Nestlé Information Technology is the digital arm of the world's largest nutrition, health, and wellness company. With 150+ years in business, 2,000+ brands, and 270,000+ diverse team members-you're joining an organization that's revolutionizing food 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 »

science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use of git is highly desirable Experience with cloud platforms, Azure is desirable Software development experience is desirable more »

Job DescriptionWe are looking for a skilled MLOps Engineer to join our dynamic team, focusing on deploying, managing, and optimising Large Language Models (LLMs) across various platforms. The ideal candidate will have a strong background in MLOps, with experience in deploying models on multiple GPUs, scaling, load balancing, and managing … data pipelines for model training, preferably using Kubeflow.Establish continuous integration and delivery pipelines using Docker, Kubernetes, or AWS counterparts (e.g., ECR).Visualise fine-grained MLOps data using industry standard tools and platformsEnsure system security through triaging, log analysis, and infrastructure debugging.Implement Infrastructure as Code using tools like Terraform or CloudFormation.Requirements … Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent experience.Solid experience with MLOps practices, deploying on multiple GPUs, and managing scalable systems.Proficiency in Kubeflow, Docker, Kubernetes, and AWS services.Experience with LangChain, prompt engineering, and fine-tuning LLMs is highly desirable.Strong background in data more »

We are looking for a skilled MLOps Engineer to join our dynamic team, focusing on deploying, managing, and optimising Large Language Models (LLMs) across various platforms. The ideal candidate will have a strong background in MLOps, with experience in deploying models on multiple GPUs, scaling, load balancing, and managing data … for model training, preferably using Kubeflow. Establish continuous integration and delivery pipelines using Docker, Kubernetes, or AWS counterparts (e.g., ECR). Visualise fine-grained MLOps data using industry standard tools and platforms Ensure system security through triaging, log analysis, and infrastructure debugging. Implement Infrastructure as Code using tools like Terraform … or CloudFormation. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent experience. Solid experience with MLOps practices, deploying on multiple GPUs, and managing scalable systems. Proficiency in Kubeflow, Docker, Kubernetes, and AWS services. Experience with LangChain, prompt engineering, and fine-tuning LLMs more »

Fin-Tech Scale-Up 🚀 📢 Permanent + Fun Social Team + Share options Are you a 2024 graduate passionate about Data Engineering and working with MLOps? Are you looking for a fantastic environment to start your career in? Here’s your chance to be a part of a fast-growing and … their Data team and work with developing new data pipelines, helping to deploy new features to their stack, and help build and run their MLOps! What you would ideally have 🖥️: Degree from top Russell Group universities in a related field (i.e. Maths, Physics, Computer Science, etc.) Experience using Python and more »

Data Scientist (Pharma) Fully remote (UK/Ireland/Europe) Salary up to £75k depending on experience MBN Solutions are delighted to have been retained by their client, a powerhouse in the Pharmaceuticals industry, to onboard a talented and innovative more »

team members and stakeholders to gather requirements, share progress updates, and collaborate on solving challenging problems. Contribute to a positive and collaborative team environment. MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production … and modern ML techniques Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment. Desirable : Experience with MLOps & Docker. How to Apply : If you are passionate about AI technology and possess the skills and experience required for this exciting opportunity, please submit your … CV today! Keywords: AI Engineer, ML Engineer, Machine Learning, Artificial Intelligence, Python, PyTorch, LLMs, MLOps, Docker BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy. more »

small high calibre team Work closely with cross-functional teams, including Engineering, Intelligence, and Product, to achieve project goals. Apply your technical ML/MLOps knowledge to enhance the current systems and architecture. Stay actively informed about the most recent developments and advancements in AI REQUIREMENTS: Hold a relevant degree … at the MSc or PhD level, 5+ years of product management experience is required Hands on experience with MLOPs tooling is required UI/UX design experience Data Science/Software Engineering skillset Excellent communication skills NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »

small high calibre team Work closely with cross-functional teams, including Engineering, Intelligence, and Product, to achieve project goals. Apply your technical ML/MLOps knowledge to enhance the current systems and architecture. Stay actively informed about the most recent developments and advancements in AI REQUIREMENTS: Hold a relevant degree … at the MSc or PhD level, 5+ years of product management experience is required Hands on experience with MLOPs tooling is required UI/UX design experience Data Science/Software Engineering skillset Excellent communication skills NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »

office. Responsibilities include participation in software planning, conducting thorough code reviews, and devising thorough test plans. The ideal candidate will collaborate closely with the MLOps team, tasked with deploying machine learning models on specialized systems like Nvidia Jetson. Key Responsibilities; * Lead the design, development, and implementation of software solutions, ensuring … improvement. * Ensure software compatibility across Windows, Linux, and macOS platforms, addressing platform-specific nuances and optimizing user experience for each platform. * Collaborate with the MLOps team to deploy machine learning models on non- embedded systems, including Nvidia Jetson systems. Manage model deployment, monitoring, and optimization in production environments. Qualifications & Experience … Knowledge of macOS is a plus. * Knowledge of mobile app development frameworks and platforms (e.g., iOS SDK, Android SDK) is a plus. * Experience in MLOps, including deploying machine learning models on non-embedded systems such as Nvidia Jetson systems. If interested, and you match the criteria above, please apply with more »

management and packaging using MLFlow. Support the transition of products to higher environments through productionizing and deployment (e.g., promoting ML Pipelines to Production), leveraging MLOps practices and technologies. Experience & Skills Required Skilled in EDW and big data storage, data provisioning, processing, and pipeline orchestration. Comprehensive understanding of data modeling, possessing … at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores, automated CI/CD, and ML pipelines. Solid experience more »