6 of 6 MLOps Jobs in Birmingham

LLM pipelines. Familiarity with data lake architectures and tools like Delta Lake, LakeFS, or Databricks. Knowledge of security and compliance best practices (e.g., SOC2, ISO 27001). Exposure to MLOps platforms or frameworks (e.g., MLflow, Kubeflow, Vertex AI). What We Offer Competitive salary + equity Flexible work environment and remote-friendly culture Opportunities to work on cutting-edge AI More ❯

Azure/GCP/AWS). Skills we'd also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are More ❯

leveraging cloud-native tools and services. AI Feature Integration Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software. Technical Leadership Set standards for MLOps, automation, and performance tuning across the engineering team. Generative AI & LLMs Explore and integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code More ❯

Familiarity with AWS and its tools Excellent communication skills and a collaborative mindset Nice to have: Experience with AI/ML infrastructure or supporting data science workflows Exposure to MLOps tooling or machine learning model deployment More ❯

for infrastructure security, performance, and cost-efficiency. Automate deployment and monitoring using Infrastructure as Code (Terraform/CloudFormation). Support CI/CD pipelines and contribute to the broader MLOps strategy. Influence architectural decisions and help shape the technical direction of the company. What We're Looking For: 5+ years of experience architecting and building solutions on AWS. Strong hands … on experience with Amazon SageMaker , including model training, deployment, and pipelines. Proficiency with core AWS services (e.g., Lambda, S3, ECS/EKS, IAM, CloudWatch). Familiarity with DevOps and MLOps tools and principles. Solid knowledge of cloud security and cost optimisation. Excellent communication skills and a proactive, problem-solving mindset. Bonus: Experience working in fraud detection, fintech, or startup environments. More ❯

Location: West Midlands (Hybrid working model) Duration: 6 Months IR35: Inside IR35 £(Apply online only)p/d Start: ASAP Xpertise are working with a business based in the Midlands to support on a major transformation to become a more More ❯