426 to 450 of 708 MLOps Jobs in the UK

Speechmatics is seeking an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models—pipelines for sourcing training data and a platform that trains, evaluates, and serves models in production. This ...

3004 Avanade UK Limited Company is seeking an Azure Data Support Engineer based in London or Newcastle. The successful candidate will support Azure data solutions and manage CI/CD pipelines, ensuring robust performance. This ...

/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business \n Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines \n Collaborate with enterprise platform and data science … What we're looking for \n \n Deep expertise in Python and ML engineering \n Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures \n Track record of leading ML/AI technical initiatives across multiple teams \n Strong experience with cloud platforms (AWS, Azure ...

security considerations. Experience using Git and modern software development practices including testing and continuous integration. Knowledge of Agile development methodologies and DevOps/MLOps principles. Strong stakeholder engagement and communication skills with both technical and nontechnical audiences. Degree, Master's qualification or equivalent experience in Artificial Intelligence, Software Engineering, Data … software in C++ within safety-critical environments. Experience defining solution architectures or technical governance. Familiarity with large-scale data management and data-labelling strategies. MLOps experience supporting production AI deployments. Contributions to open-source projects, technical publications or patents. Relevant AI, cloud or Agile certifications. With five strategic offices ...

Advanced Python development skills. Experience building scalable AI services and APIs. Strong backend development and integration experience. Knowledge of software engineering best practices and MLOps workflows. Cloud & Infrastructure Experience with Microsoft Azure (preferred), AWS, or Google Cloud Platform. Containerisation using Docker. Orchestration using Kubernetes and/or Azure Kubernetes Service … Desirable Skills: Generative AI product development. Computer Vision and image understanding systems. AI agent frameworks and autonomous workflows. Knowledge graphs and semantic retrieval systems. MLOps and model deployment pipelines. Team leadership or technical management experience. Why join us? We bring together entrepreneurial, tech-driven people to deliver innovative solutions ...

Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with … methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such ...

Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with … methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such ...

Senior MLOps Engineer London (Hybrid) | Salary: up to £85,000 This is an opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables … enable successful AI delivery. Contribute to AI governance, best practices, and responsible AI principles across the organisation. Your Skills & Experience Strong commercial experience within MLOps, Platform Engineering, or Infrastructure Engineering supporting machine learning systems. Advanced Python programming skills with a strong software engineering mindset. Hands-on experience with Azure-native ...

APIs and services that accelerate AI delivery across multiple teams. Evaluate emerging technologies and establish best practices for the adoption of AI at scale. MLOps & LLMOps Design and implement MLOps and LLMOps frameworks supporting the full model lifecycle. Establish standards for model deployment, versioning, evaluation, monitoring and observability. Improve reproducibility ...

/AI solutions across client projects. You will collaborate with data scientists, engineers and consultants from data preparation to production monitoring. Role emphasizes MLOps, governance, and ethical AI, with mentorship of junior team members. Hybrid working and a broad benefits package are provided. #J-18808-Ljbffr ...

develop offerings, and guide the AI strategy and governance for a diverse client base. You will act as a subject-matter expert across GenAI, MLops, data pipelines, and deployment platforms, while mentoring the architect team and fostering innovation within the AI proposition. #J-18808-Ljbffr ...

Machine Learning Engineering Lead to design, deploy and operate production AI/ML services for legal research and analytics. The role emphasizes architecture direction, MLOps, responsible AI, and AWS-based delivery, with no direct reports. You will mentor engineers, drive reusable ML patterns, and ensure high quality, scalable systems while ...

Product teams to deliver enterprise-grade analytics solutions. The role involves building with React/Angular/Vue, REST/GraphQL APIs, and MLOps practices, while ensuring security-by-design and scalable cloud deployments across multiple environments. #J-18808-Ljbffr ...

deliver and industrialize data science products across Retail & eCommerce. The role supports the data science platform, running with Managed Services, and shapes the MLOps framework for cross-functional teams. The ideal candidate has 10+ years in Data & Analytics, hands-on Azure Databricks, and leadership experience across global teams. Hybrid working ...

Senior ML/MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments … path to production, and build something that stays healthy at real scale — you'll feel right at home. As a Senior ML/MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function — working in close partnership with our Data Scientists to take intelligent ...

code, CI/CD pipelines, containerisation and cloud governance to ensure platforms are secure, scalable and auditable, with close collaboration to data engineers, MLOps engineers and solution architects. #J-18808-Ljbffr ...

fine-tune and deploy production-scale language models for regulated financial services. You will work with an cross-functional team to shape ML direction, MLOps practices, and robust NLP pipelines. Join a remote-first, UK-wide team focusing on cutting-edge AI in financial services with strong data governance ...

solution lifecycle, from needs assessment to deployment and value realization. You will work with Deep Learning, Generative AI, and LLMs, creating scalable data and MLOps pipelines for training and production, while ensuring quality and reliability of deployed #J-18808-Ljbffr ...

deploy AI-powered CV/vision solutions in a hybrid North London setting. You will build scalable data pipelines, fine-tune models, and apply MLOps across the lifecycle to ensure high-quality, responsible AI. You will collaborate with product and cloud teams to deliver secure, scalable AI that enhances customer ...

CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/AI, strong Python, cloud/MLOps experience, and a collaborative mindset to work with partners and stakeholders across experiments and #J-18808-Ljbffr ...

they can run without you. What we are looking for Proven contract delivery in production machine learning environments. Strong Python, cloud ML tooling and MLOps discipline. Experience with healthcare, life sciences or another regulated data domain is useful. Available at short notice and comfortable operating outside IR35. Engagement ...

ensure solutions are secure, ethical, and fit for purpose. Working across multidisciplinary teams, you'll drive innovation in areas like DevOps, platform engineering, and MLOps - balancing experimentation with governance and risk. What you'll be doing: Leading architecture, design, and delivery of digital & AI solutions Driving innovation across AI, analytics ...

monitoring, supportability and reliability concerns in production - Experience using infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return ...

migration roadmap, and reusable assets. Support discovery activities and translate findings into practical migration approaches. Qualifications Demonstrate strong experience with Azure ML and enterprise MLOps platforms. Bring hands-on experience with ML platform migration. Possess a strong engineering background with proven hands-on delivery experience. Demonstrate the ability to contribute ...

technical stakeholders. Ability to work independently on operational delivery while contributing constructively to longer-term framework design. Prior experience with model inventory, MLOps, or model risk management tooling, and exposure to governance framework or policy development. Work in a Way That Works for You We promote a healthy work/ ...