176 to 200 of 409 MLOps Jobs in London

delivering successful, production-scale machine learning solutions (ideally on AWS SageMaker)**.You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. This is a hands-on lead role requiring recent expertise in building, deploying, monitoring ...

insight). Position AI Agents within the context of the industry, and explain how data proximity, governance, and operational coherence (e.g., Machine Learning Operations [MLOps]) on Vertex AI create an engaged advantage. Leverage a team of Field Sales Representatives and Customer Engineers, and activate Partners to scale industry-specific plays ...

required to prevent recurrence. Deep expertise in Kubernetes, alongside experience operating infrastructure across hybrid on-premises and cloud environments. Experience building, running or evolving MLOps infrastructure, ideally including notebook environments such as Kubeflow, GPU compute for distributed training and model serving. Familiarity with batch compute for data-intensive scientific workloads ...

including an understanding of performance, scaling and system architecture Strong programming skills in Python, with familiarity with ML frameworks and development workflows Experience with MLOps or production-oriented workflows, including environment management, reproducibility and deployment considerations Nice to have Experience training or optimizing ML systems Experience solving optimisation/MILP ...

Ricoh is seeking a DevOps Engineer for Enterprise AI to configure, integrate and operate AI platforms across cloud and hybrid environments. You will work with AI specialists, data scientists and engineers to build secure, scalable ...

KDR Talent Solutions Ltd seeks an experienced ML Engineer to drive end-to-end ML development, including pipeline building, model deployment, and ML Ops. You will collaborate with cross-functional teams to integrate ML into ...

Proximie Limited is hiring a machine learning engineer to own the training and deployment infrastructure for our production ML models. You will manage the training and inference workloads on AWS SageMaker, build reproducible training runs ...

Barclays Bank PLC in London seeks an AI Platform Engineer to design and operate scalable AI infrastructure, optimising machine learning workloads and supporting trading decisions within Global Markets. You will work with Python, Kubernetes, GPU ...

Xelix, a fast-growing fintech‐adjacent scale‐up in London, is hiring a Senior DevOps Engineer to own reliability, scalability and security of our cloud platform. Based in London, you’ll work from the office ...

APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required for production use. Cloud, DevOps & MLOps Execution: Apply cloud-native services, secure deployment patterns, observability, lifecycle management, and MLOps practices to ensure applications are scalable, resilient, cost-aware, and supportable. Knowledge ...

APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required for production use. Cloud, DevOps & MLOps Execution: Apply cloud-native services, secure deployment patterns, observability, lifecycle management, and MLOps practices to ensure applications are scalable, resilient, cost-aware, and supportable. Knowledge ...

Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search). Ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift. Champion engineering best practices across the team, including … data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search. A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI ...

London, United Kingdom | Posted on 16/10/2026 Role: MLOps Engineer- Contract Location: London |Hybrid- 3/4 days in client office. Industry: Financial Services/Banking Start Date: Nov 2026 Agreed Contract Rate (ACR): £308.33 per day Payroll provider:RockfordPayroll Info for Contingent Workers – Rockford Pay Daily … Daily Rate: Up to £400 per day, dependenton experience Equivalent Annual Salary: £71,531.56 + £8,633.12holiday pay The Role Weare looking for experienced MLOps Engineers to join a leadingglobal financial services organisation, working on cutting-edge Generative AI,machine learning and intelligent automation solutions. This is an excitingopportunity ...

part of building the bank of the future. Job Summary As a Software Engineer III at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and enhance the banking experience. You will collaborate with data scientists … technologies, distributed systems, RESTful APIs, and web technologies Preferred Qualifications, Capabilities, and Skills Background in STEM with exposure to machine learning systems Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize) Hands-on experience with cloud computing platforms like AWS, Azure, or GCP Experience working ...

realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. As a Lead MLOps Platform Engineer at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. … quality maintainable solutions Required qualifications, capabilities and skills Proficiency in coding in recent versions of Java and/or Python programming languages Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) Experience with cloud technologies (AWS/Azure/GCP) and distributed systems ...

mobility while building the bank of the future. Job Summary As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and deliver outstanding banking experiences. You will collaborate with data scientists … prioritize deliverables across multiple work streams Preferred Qualifications, Capabilities, and Skills Background in STEM with exposure to productionising machine learning systems Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize) Proficiency in cloud-native microservices architecture Hands-on experience with Amazon Web Services (AWS) Previous experience ...

systems within the Markets Research Technology team, driving AI-assisted practices and scalable microservices. You will guide development across data engineering, cloud infra, and MLOps, mentoring teams and shaping robust software solutions for the firm’s business objectives. #J-18808-Ljbffr ...

demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering, ideal ...

involves designing, deploying, and optimising machine learning models and AI workflows within Azure. The ideal candidate will have experience with Azure Databricks, LangChain, and MLOps practices. The role offers an attractive salary of up to £82,000, an annual performance bonus, and a comprehensive benefits package including private medical insurance ...

products used by millions of customers every day. This is a highly collaborative role where you’ll partner with Product Managers, Engineers and MLOps teams to take ideas from experimentation into production. You’ll also help shape technical best practice across the team, championing robust experimentation, high-quality code ...

frameworks (TensorFlow, PyTorch, scikit-learn). Comfortable with time series data and forecasting problems. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices. Curious about energy, climate, or sustainability — or excited to learn. A pragmatic builder who cares about shipping things that work, not just impressive prototypes #J ...

Required: Demonstratable years' experience in a Data Scientist position Strong Python development skills with experience building and deploying machine learning solutions Experience working with MLOps frameworks and best practices Strong understanding of CI/CD principles and deployment processes Experience developing, tuning, testing, and optimising machine learning models Good understanding ...

Build and maintain the model registry and documentation standards: model cards, model risk ratings, validation reports, approval records and change management documentation• Work with MLOps teams to embed governance into the model deployment pipeline: automated validation checks, staging environment requirements and production deployment gates• Manage the model governance committee: chairing ...

plus if you also have these skills**· Experience contributing to AI platforms or reusable frameworks and patterns· Familiarity with LLMOps/MLOps and production evaluation practices· Experience embedding AI into core business processes or enterprise systems· Experience working in large-scale or regulated enterprise environments* 26 days holiday, rising ...

networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with the MLOps team to drive tooling for rapid model iteration and lifecycle optimisation You should apply if What we’re doing at Monzo excites you. Multiple-year ...