Ml infrastructure engineer Work, Jobs in Glasgow, Sct (with Salaries)

Senior ML Infrastructure Engineer
Chemify Ltd —Glasgow
- Engineering
- AWS
- No degree
Quick apply
Lead Infrastructure Engineer, Messaging and Email Hygiene
Home Office —Glasgow
- £66,229 - £72,852 a year
- Part-time
- Azure
- System design
- English
- Annual leave
10d
Operational Technology / Project Management Professionals (OT/SCADA PLC).
Sweco —Glasgow
- Full-time
- Hybrid work
- Programmable logic controllers
- Employee assistance programme
- Employee discount
Senior Platforms Infrastructure Engineer
Chemify Ltd —Glasgow
- AWS
- Scripting
- Computer networking
Quick apply
Operational Technology / Project Management Professionals (OT/SCADA PLC).
Sweco UK —Glasgow
- Part-time
- Hybrid work
- Programmable logic controllers
- Employee assistance programme
- Employee discount
Application Engineer (Multiphysics Simulation) / Quanscient
Ilmiö Talent Agency —Glasgow
- £5,000 - £6,500 a month
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
4d
Software Engineer III (AI-Powered)
Planet DDS —Glasgow
- Hybrid work
- DevOps
- Agile
- AI
- Annual leave
- Referral programme
Senior Data and AI Engineer
Renewable Energy Systems Limited —Glasgow
- Full-time
- Azure
- Computer Science
- Engineering
Application Security Engineer
Shawbrook —Glasgow
- Full-time
- Azure
- AWS
- APIs
- Employee assistance programme
- Employee discount
AI Platform Engineer
Barclays —Glasgow
- Azure
- AWS
- Software development
Senior Software Engineer - Space Reliability
Spire Global —Glasgow
- Hybrid work
- DevOps
- Data analysis skills
- Scripting
- Employee stock purchase plan
- Annual leave
2d
Director of Software Engineering
Spire Global —Glasgow
- Hybrid work
- IT
- AI
- Communication skills
- Employee stock purchase plan
- Annual leave
Senior Lead Software Engineer - Python, Data, Cloud, AIML
JPMorganChase —Glasgow
- Full-time
- System design
- Master's degree
- AWS
Digital Projects IM Lead
AECOM —Glasgow
- Full-time
- Hybrid work
- Engineering
- Business development
- SharePoint
12d
Senior / Staff Machine Learning Scientist
Chemify Ltd —Glasgow
- Full-time
- Azure
- Doctoral degree
- AWS
Quick apply
Senior Software Engineer - Space Reliability
Spire —Glasgow
- Hybrid work
- DevOps
- Data analysis skills
- Scripting
- Employee stock purchase plan
- Annual leave
2d
Distributed-Database Platform Engineer
Morgan Stanley —Glasgow
- Full-time
- Azure
- SQL
- AWS
2d
Lead SRE- Azure & GCP
JPMorganChase —Glasgow
- Full-time
- Azure
- Windows
- Master's degree
11d
Senior Lead Software Engineer - Python / Go
JPMorganChase —Glasgow
- Full-time
- Azure
- Master's degree
- AWS

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Senior ML Infrastructure Engineer

Chemify Ltd
Glasgow

Quick apply

Job details

Qualifications

Cloud infrastructure
Kubernetes
Engineering
Google Cloud Platform
AWS
Distributed systems
Systems engineering
Linux
Cybersecurity
Python

Full job description

About Chemify

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the worlds largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity.

Job Description

We are hiring a Senior ML Infrastructure Engineer to build, enable and operate the core platform that powers Chemifys machine learning and scientific AI computing workloads. This role sits at the intersection of distributed systems engineering, machine learning infrastructure, scientific computing, and platform engineering.

You will build and operate the operational backbone of the ML platform, ensuring that pipelines run reliably across Kubernetes clusters, onpremise GPU infrastructure, and serverless compute environments. The systems you build will support ML engineers and computational chemists running workloads from largescale model training to molecular simulation.

If you enjoy building complex technical systems at the intersection of ML and scientific computing, working on platform problems that combine distributed systems, cloud and onpremise GPU infrastructure, and real-world scientific workloads, youll thrive here.

Key Responsibilities

ML Pipeline Orchestration: implement routing logic dispatching workloads to appropriate compute backends; maintain workflow reliability including retries, dependency management, and failure recovery.
ML Pipeline Orchestration: implement routing logic dispatching workloads to appropriate compute backends; maintain workflow reliability including retries, dependency management, and failure recovery.
Linux Administration: Server administration and support including security and scaling.
Kubernetes Platform Operations: Operate clusters for ML training, inference, and batch workloads; maintain container build pipelines and GitOps deployment workflows; optimise cluster scheduling, autoscaling, and GPU utilisation.
HPC / GPU Compute Integration: Integrate orchestration systems with HPC job schedulers; maintain execution paths for workloads running on GPU clusters; ensure artifacts and results from HPC jobs are captured and versioned.
Model & Experiment Lifecycle: Operate model registry and experiment tracking platforms; ensure training runs are reproducible and linked to code and datasets; support promotion of models from staging to production.
Data Versioning & Pipeline Traceability: Implement dataset versioning and lineage tracking across ML pipelines; ensure predictions are traceable to model versions and datasets; maintain reproducible ML training pipelines.
Platform Tooling & Developer Experience: Develop platform CLI tools and pipeline templates; maintain base container images used for ML workloads; improve developer workflows for ML engineers and scientists.
Observability, Security & Governance: Implement monitoring, logging, and alerting across orchestration systems; maintain infrastructure as code for platform resources; ensure workloads are traceable to source code, container images, and execution environments.
What Youll Bring
Degree in Science, Engineering or related field (or equivalent practical experience).
Strong Python engineering skills.
Experience operating workflow orchestration platforms.
Strong Kubernetes platform experience.
Experience with containerisation and CI/CD pipelines.
Experience with cloud infrastructure such as AWS & GCP.
Experience operating distributed systems in production.
Strong Linux systems engineering skills.
Beneficial Skills
Argo Workflows or Kubernetes workflow engines.
SLURM or other HPC job schedulers.
ML experiment tracking tools such as Weights & Biases or MLflow.
Data versioning or lakehouse technologies such as LakeFS, Iceberg, or Delta Lake.
Scientific computing environments.
Internal developer platform or CLI tooling experience.
Experience in Cyber Security and operating in regulated environments.

Why Join Chemify?

Impact:

You will lead a team of Lab Coordinators and Production Technicians responsible for maintaining and improving the lab space at the first Chemifarm, laying the foundation for how future Chemifarms will operate.

Autonomy:

Reporting to the Inventory and Materials Manager, you will own the lab operations strategy, improve processes and workflows, and have meaningful impact over the at how Chemify labs run and operate.

Ambition:

We are a Series B deep-tech company investing in world-class infrastructure and tackling problems at the frontier of AI, robotics, and chemistry. You will have the resources, the data, and the mandate to shape how laboratories at Chemfiy run and are maintained.

Quick apply

Refine Your Search

ml infrastructure engineer jobs in glasgow, sct

Senior ML Infrastructure Engineer

Lead Infrastructure Engineer, Messaging and Email Hygiene

Operational Technology / Project Management Professionals (OT/SCADA PLC).

Senior Platforms Infrastructure Engineer

Operational Technology / Project Management Professionals (OT/SCADA PLC).

Application Engineer (Multiphysics Simulation) / Quanscient

Software Engineer III (AI-Powered)

Senior Data and AI Engineer

Application Security Engineer

AI Platform Engineer

Senior Software Engineer - Space Reliability

Director of Software Engineering

Senior Lead Software Engineer - Python, Data, Cloud, AIML

Digital Projects IM Lead

Senior / Staff Machine Learning Scientist

Senior Software Engineer - Space Reliability

Distributed-Database Platform Engineer

Lead SRE- Azure & GCP

Senior Lead Software Engineer - Python / Go

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