26 to 50 of 90 MLOps Jobs in the UK excluding London

MLOps Engineer, you will play a pivotal role in designing, building, and operating the platforms, pipelines, and infrastructure that enable machine learning solutions to move reliably from experimentation to production. This is a blended role combining MLOps, Data Engineering, and DevOps, well-suited to an engineer who enjoys working across … environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ELT pipelines, DLT, Delta ...

thinking DevSecOps Engineer to join our Defence client, offering a unique opportunity to work at the forefront of secure, scalable software delivery across DevSecOps, MLOps, and cloud technologies. In this role, you will help push the boundaries of what's possible-from securely updating deployed equipment to enabling resilient, high ...

should be comfortable designing data persistence layers using PG Vector, Pinecone, Milvus, or Mongo Atlas to handle large amounts of unstructured data. The MLOps Engineer: You don't just write code; you ship it. Our client requires experience deploying GenAI models into production using Kubernetes (or OpenShift) and establishing robust ...

multi‐structured wealth data. AI Readiness: Implement strategies to make data "AI-ready," focusing on data quality, low-latency access, and the integration of MLOps principles into the data engineering workflow. Technical Governance: Set and enforce high standards for code quality, documentation, and testing. Drive the adoption of modern engineering ...

avoid duplication, ensure accountability. Collaborate with Product Managers to embed AI capabilities into broader product strategies. Work closely with Data Scientists, ML Engineers, and MLOps teams to ensure technical feasibility and scalability. Act as the primary liaison between business stakeholders and AI team. Educate stakeholders on AI capabilities, limitations ...

training datasets, and inference pipelines 3. Model Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming … recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/ ...

Location: Manchester Working: 3 days onsite (Tues-Thurs) Salary: £100k + extensive package (TC circa £150k) The Role Leading a team of Data, DataOps & MLOps Engineers within a global asset manager's European Data function. You'll drive delivery of scalable, cloud-based data solutions, supporting analytics, data science ...

Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Experience with NLPs or LLMs Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus ...

LLMs, NLP, or retrieval-augmented workflows. * Confident working with large-scale tabular datasets and complex data environments. * Cloud experience, ideally AWS, plus familiarity with MLOps practices. * Background in product-focused environments or consultancy. * Ability to evidence measurable business impact from previous technical projects. What They Offer * Hybrid working with ...

Observability Vulnerability scanning, IDAM, secure networking Tools like Prometheus, Grafana, ELK What makes this role different: Work on cutting-edge defence challenges (DevSecOps + MLOps + secure cloud) Influence technical direction, not just delivery Solve problems like securely updating deployed equipment in the field Be part of a culture that ...

working in cloud environments, ideally Azure. Solid understanding of software engineering fundamentals including APIs, distributed systems and secure system design. Experience with DevOps or MLOps practices such as CI CD, containerisation and monitoring. The confidence and gravitas to influence technical direction and guide a less mature AI function. A practical ...

automation Containerisation and orchestration Monitoring and observability tools Experience in the defence or advanced technology sector Experience with GPU based computer environments Experience with MLOps and associated tooling Experience with data pipelines Experience with Infrastructure as Code Experience with security integration in DevOps i.e. DevSecOps Service-oriented with effective communication ...

based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation Embed security, compliance, and safety principles into every stage of development Collaborate within cross-functional ...

Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter-agent communication ...

Location: Manchester Working: 3 days onsite (Tues-Thurs) Salary: £130k + extensive package (TC circa £200k) The Role Leading multiple teams of Data, DataOps & MLOps Engineers within a global asset manager's European Data & Analytics function. You'll own the data engineering strategy, driving the build of AI-ready, cloud ...

value, managing trade-offs, and driving outcomes through a well-managed backlog. Comfortable working with cross-functional analytics teams (analytics engineering, data science, and MLOps) and facilitating collaboration through ambiguity. Pragmatic and delivery-focused, with a risk-based approach to decision-making and a strong bias to measurable business impact. ...

guardrails while ensuring business value creation and impact. YOUR ROLE In this position you will play a key part in: Assessing and implementing robust MLOps framework, governance and best practices as per industry standards Designing and delivering end-to-end AI/ML systems, from data preparation and model development … Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions. Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative ...

guardrails while ensuring business value creation and impact. YOUR ROLE In this position you will play a key part in: Assessing and implementing robust MLOps framework, governance and best practices as per industry standards Designing and delivering end-to-end AI/ML systems, from data preparation and model development … Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions. Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative ...

Senior Technology Leader will be responsible for establishing engineering excellence across the organisation. Your remit spans technical standards, cloud native architecture, automation, AI and MLOps, and the evolution of their software engineering culture. You will influence product direction and play a central role in shaping the technical future of their ...

failure‐mode analysis in production environments. Test Architecture & Automation Leadership Architect scalable, automated test frameworks for AI systems (models, data, pipelines, and integrations), leveraging MLOps, CI/CD, synthetic data, and observability tooling. Technical Leadership & Mentorship Act as the subject‐matter expert for AI testing, mentoring engineers, influencing engineering best ...

degraded networks, tactical environments • Service background, or a track record of working closely with military, intelligence or law enforcement end users • Experience with MLOps tooling and platforms, or with building them How you work • You are comfortable with ambiguity and incomplete requirements. You go and find the answer • You take ...

Lead the implementation of Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence … Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data engineering, and software engineering. •Minimum 3 years in MLOps and AI/ML deployment. •Minimum **2 years in Generative AI, LLMs, and agentic frameworks. Preferred •Experience with API Gateway development and deployment on Azure ...

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 ...

Designing enterprise-scale data & AI architectures Shaping data strategy, governance, and engineering standards Leading architecture for ML, AI, and emerging GenAI solutions Overseeing MLOps and model lifecycle design (production AI at scale) Working across cloud platforms (AWS, Azure, GCP) Engaging with senior stakeholders to translate business needs into technical roadmaps ...

production-quality code Desirable Experience: PyTorch, TensorFlow, or similar ML frameworks Scientific computing/numerical methods/optimisation GPU acceleration or high-performance computing MLOps, model deployment, APIs, or production pipelines What’s great about this position: Focus on applied AI in real engineering systems Work on technically challenging, high ...