101 to 118 of 118 MLOps Jobs in England

JOB VACANCY GLOBAL LOGIC Company: Global Logic Job Title: GTM Solutions Architect, AI/ML - Intelligent Enterprise Location: United Kingdom - Edinburgh, London, Manchester Working style: Hybrid You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and More ❯

JOB VACANCY GLOBAL LOGIC Company: Global Logic Job Title: GTM Solutions Architect, AI/ML - Intelligent Enterprise Location: United Kingdom - Edinburgh, London, Manchester Working style: Hybrid You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and More ❯

. API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world More ❯

to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices. Required/Primary Skills: AWS Data Engineering ML Engineering ML-Ops ECS, Sagemaker Gitlab Jenkins CI/CD AI Lifecycle Experience in front-end development (HTML, Stream-lit, Flask … with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skills Experience with RESTful APIs and integrating backend services All profiles will be reviewed against the required skills and experience. Due to the More ❯

e.g. ISO27001, GDPR, DCC) Actively promote team values and adhere to all relevant company policies DevOps Responsibilities: Implement and manage DevOps pipelines for AI and computer vision products Integrate MLOps practices for data versioning, experiment tracking and model deployment Collaborate with the Technology team to ensure DevOps workflows accelerate product delivery and support Ensure strong data management, storage and backup …/CD pipeline design and automation Containerisation and orchestration Monitoring and observability tools Experience in the defence or advanced technology sector Familiarity with GPU based computer environments Familiarity with MLOps and associated tooling Familiarity with data pipelines Familiarity with Infrastructure as Code Familiarity with security integration in DevOps i.e. DevSecOps Essential Tools: Ubuntu and Red Hat Linux Windows 365 environment More ❯

e.g. ISO27001, GDPR, DCC) Actively promote team values and adhere to all relevant company policies DevOps Responsibilities: Implement and manage DevOps pipelines for AI and computer vision products Integrate MLOps practices for data versioning, experiment tracking and model deployment Collaborate with the Technology team to ensure DevOps workflows accelerate product delivery and support Ensure strong data management, storage and backup …/CD pipeline design and automation Containerisation and orchestration Monitoring and observability tools Experience in the defence or advanced technology sector Familiarity with GPU based computer environments Familiarity with MLOps and associated tooling Familiarity with data pipelines Familiarity with Infrastructure as Code Familiarity with security integration in DevOps i.e. DevSecOps Essential Tools: Ubuntu and Red Hat Linux Windows 365 environment More ❯

e.g. ISO27001, GDPR, DCC) Actively promote team values and adhere to all relevant company policies DevOps Responsibilities: Implement and manage DevOps pipelines for AI and computer vision products Integrate MLOps practices for data versioning, experiment tracking and model deployment Collaborate with the Technology team to ensure DevOps workflows accelerate product delivery and support Ensure strong data management, storage and backup …/CD pipeline design and automation Containerisation and orchestration Monitoring and observability tools Experience in the defence or advanced technology sector Familiarity with GPU based computer environments Familiarity with MLOps and associated tooling Familiarity with data pipelines Familiarity with Infrastructure as Code Familiarity with security integration in DevOps i.e. DevSecOps Essential Tools: Ubuntu and Red Hat Linux Windows 365 environment More ❯

Lead Machine Learning Operations Engineer - Remote - 70- 90k + Excellent Benefits We're seeking a Lead Machine Learning Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role More ❯

Lead Machine Learning Operations Engineer - Remote - £70-£90k + Excellent Benefits We're seeking a Lead Machine Learning Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role More ❯

Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial service providers onboard businesses more quickly while cutting operational costs by 80%. About More ❯

Role: Machine Learning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000 This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life More ❯

PRINCIPAL DATA ENGINEER £80,000 + BENEFITS LEEDS (Hybrid) Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself? THE COMPANY: I'm working with a central data More ❯

Senior Ruby Engineer Scale-Up Tech Company - Remote (Anywhere in the world) Up to £80,000 Are you ready to take your career to the next level? We're working with one of the fastest-growing tech companies in the More ❯

Senior Machine Learning Operations Engineer London (2x a week onsite) - £500 p/d (Outside IR35) 6-months Contract We are seeking an experienced MLOps Engineer to join a globally known consumer tech company focused on building innovative, large-scale platforms. In this role, you will evolve and scale the machine learning platform, ensuring it supports high-throughput model inference … and fast iteration cycles. This position is perfect for someone who thrives at the intersection of MLOps, Kubernetes, and cloud infrastructure, with a hands-on approach to solving complex challenges. You will work closely with ML engineers and product teams to align infrastructure with evolving project needs, research and implement cutting-edge MLOps practices, and mentor colleagues by sharing expertise … clusters from scratch, configuring them manually using tools like kubeadm, and deploying applications with Helmdemonstrating true infrastructure-level expertise rather than just deploying services on managed platforms. Key Skills MLOps & Kubernetes: GPU-enabled cluster management, built from scratch using kubeadm and Helm. Programming : Python or Go for ML automation workflows. Containerization : Docker and containerized application deployment. Cloud : AWS experience supporting More ❯

About Us Zutec is a fast-growing technology company, providing cloud-based software for the construction property industry. Zutec' offers best of breed solutions for Document Management, Quality Management, Handover Management and Asset Management. Today we have digitised over 35 More ❯

About EIT: The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to More ❯

Location: London/Hybrid Type: Full time About Riverflex Riverflex is a next generation transformation accelerator. We help courageous leaders drive intelligent transformation by combining purpose & direction, culture & capabilities, and efficiency & effectiveness. Our service domains-Strategy &Transformation, Data&Intelligence, and More ❯

About EIT: The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to More ❯