AI/MLOps Platform Engineer
Role details
Job location
Tech stack
Job description
About the Role Join a pioneering team that's redefining how AI and cloud-native platforms power front-office trading. We're hiring a hands-on engineering leader to shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat..., A leading global financial institution is seeking a Principal Software Engineer to enhance and build market-leading technology products in Glasgow. This role requires expertise in software engineering, particularly in cloud platforms like AWS, and the ability to integrate..., We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I.Generative AI is..., Machine Learning Engineer (AI Platform) Role OVO-View Team: ML Engineering Salary banding: £50,000 - £72,000 Experience: Mid-level Working pattern:Full-Time Reporting to: AI Platform Tech Lead Sponsorship: Unfortunately we are unable to offer sponsorship for this..., Job Description Role: Data Engineer Location: Glasgow Hybrid Work:3 days per week and 2x WFH Salary: Competitive but around £50,000 - £60,000 Tech stack: Python, AWS, CI,CD, ETL, Data Warehouse We CANNOT sponsor or accept anyone on a PSW or Graduate Visa. **This Role..., Role: Data Engineer Location: Glasgow Hybrid Work :3 days per week and 2x WFH Salary: Competitive but around £50,000 - £60,000 Tech stack: Python, AWS, CI,CD, ETL, Data Warehouse We CANNOT sponsor or accept anyone on a PSW or Graduate Visa. **This Role is..., Senior Machine Learning Engineer (AI Platform) Role OVO-View Team: ML Engineering Salary banding: £74,000 - £105,600 Experience: Expert Working pattern:Full-Time Reporting to: AI Platform Tech Lead Sponsorship: Unfortunately we are unable to offer sponsorship for...
Requirements
To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with:
Proficiency in Python engineering skills, especially in backend systems and infrastructure.
Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock.
Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production.
Strong understanding of secure software development, cloud cost optimization, and platform observability.
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
Demonstrated leadership in setting technical direction while remaining hands-on.
Some other highly valued skills may include:
Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes).
Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration.
Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases.
Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment.
Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability.
Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions.
You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills., Job Description Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We're looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our...
Benefits & conditions
Job Description Backend Engineer Full Time | Permanent | Glasgow - Hybrid Working | £50,000 - £60,000 Are you a backend engineer who wants to work on genuinely interesting problems, at the cutting edge of AI and data? Our client, a fast-growing, Glasgow-based data and AI...