1 to 25 of 117 MLOps Jobs in the UK

team members from multidisciplinary backgrounds. Interest in promoting your work and the ways we have solved complex challenges. You might also have Experience in MLOps including experiment tracking and model deployment Experience with current LLM frameworks, such as LangChain and open-source LLM deployment (e.g., llama-cpp, ggml, Xorbits Inference more »

unsure or only feel that your experience aligns with only some of the requirements above, we'd still encourage you to apply) DevOps/MLOps (CI/CD, Release Management, Kubernetes, Docker) Programming skills, with experience of writing clean, well-documented, and unit-tested python ETL processes to read, transform more »

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 »

Job DescriptionTransform the World of Content Creation as an AI Engineer.We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform. Based in the vibrant heart of tech innovation, this team more »

datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong analytical and problem-solving abilities, with the capability to work on complex issues and drive innovative solutions. Deep understanding of more »

Working knowledge of LLMs and related frameworks like Langchain and Semantic Kernel. Understanding of AI agents and their application in business contexts. Familiarity with MLOps/DevOps, particularly within cloud environments. Strong coding skills in Python and experience with C#, Azure Functions, and Event Hubs. A solid understanding of data more »

role Experience in Python and SQL Experience with Cloud computing tools (Azure, AWS or GCP) Data storage, manipulation and extraction tools Nice to Haves: MLOps/DevOps Microsoft Azure data & analytics technologies What’s on Offer: A base salary between £40,000-£50,000 plus bonus and a comprehensive benefits more »

who have focused on credit or cash management marketsKnowledge of software development and experience in a range of coding languages e.g. Python, C++Experience with MLOps, Kubernetes/containerisationThought leadership and innovative problem solvingStrong numeracy skills with a background mathematical disciplinesExcellent written and verbal communication skills to convey information clearly and more »

Job DescriptionSenior MLOps Engineer£80,000-£110,000Hybrid in London – 1/2 days a week.La Fosse have partnered with an exciting InsurTech business which delivers innovative technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of … our machine learning operations.As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance … technology.Responsibilities:Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of machine learning models.Develop automated pipelines for model training, testing, deployment, and monitoring.Establish best practices for versioning, reproducibility, and scalability in ML workflows.Collaborate with cross-functional teams to integrate ML models into more »

leading the deployment of Data & AI solutions. Proficiency in the Microsoft Azure Data Stack, experience with LLMs, prompt engineering, AI Agents, and familiarity with MLOps/DevOps practices. Strong coding skills in Python and C# are a plus. Exceptional skills in client engagement and strategic solution delivery. Ability to inspire more »

leading financial services company with a focus on technological advancement, delivering cutting-edge services in a rapidly evolving industry are looking to hire an MLOps Engineer into their team.This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. … and security.If this role looks of interest and you feel you fit some of the requirements, apply through the Ad to find out more!MLOps Engineer 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 »

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 »

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 »

Who we are International Technology & Advanced Analytics (IT2A) is a multi-national function of Walgreens Boots Alliance (WBA) based in the UK, Europe, Asia, South America and the USA. We use emerging technology and data to transform our pharmacy and more »

GenAI expertise. What You Bring: Essential: 5+ years in AI and Big Data, with 3+ years in a customer-facing role. Proficient in Kubernetes, MLOps, and AIOps tools. Strong ability to engage with customers, plan and organize workshops, and present findings persuasively. Desirable: Familiarity with Nvidia AI tools, and experience … with LLMs. Hands-on experience with MLOps tools like cnvrg.io, mlfow, and Domino. University degree in Machine Learning and relevant industry certifications are a plus. Apply now to discuss more »

driven by a shared purpose to revolutionise the future of healthcare. They are looking for a Head of Data Engineering to lead their Data & MLOps initiatives and drive the development of AI-driven solutions in the healthcare space. This pivotal role will be integral to their Tech Team, reporting directly … this role. Key Responsibilities will include: Lead the scaling and expansion of their AI-driven product features Architect and oversee the implementation of their MLOps infrastructure, managing data collection, processing, and quality assurance to facilitate continuous learning of their models Advocate for the strategic integration of Data and ML within … beneficial: 5+ years of experience developing AI-based products Experience of developing using Computer Vision 3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.), Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be more »

W Talent are currently partnered with a fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data 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 »

MLOPs Engineer (Junior to Expert level) x4 Location: Hybrid (Mainly London based - ad-hoc on-site) Duration: 6 months rolling Rate: £400pd to £1200pd DOE (Negotiable - please tell us what you are looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record … of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in … versioning and rollback procedures. . Troubleshoot and resolve issues related to model inference and data pipelines. . Stay updated on the latest developments in MLOps and implement best practices for model life cycle management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . more »

environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. more »

Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services more »

environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. more »