AI Forward Deployed Engineer - Machine Learning
Nova Source Technologies
Windlesham, United Kingdom
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 100KJob location
Remote
Windlesham, United Kingdom
Tech stack
JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Cluster Analysis
Python
Machine Learning
TensorFlow
Software Engineering
Feature Engineering
Data Ingestion
PyTorch
Large Language Models
Multi-Agent Systems
Deep Learning
Information Technology
Machine Learning Operations
GPT
Job description
- We work directly with strategic enterprise clients in a highly consultative and deeply technical capacity.
- We embed within customer environments to design and implement end-to-end AI systems.
- We deliver production-grade machine learning solutions and rapid proof-of-concepts.
- We build, deploy, and support machine learning pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment.
- We develop generative AI applications using transformer-based models, LLMs, RAG, agentic systems, and AI orchestration frameworks.
- We create AI solutions using models such as GPT, Claude, Gemini, and similar technologies.
- We collaborate with senior stakeholders including CIOs, CTOs, and Heads of Digital Transformation.
- We translate business challenges into scalable AI solutions that support large-scale transformation.
- We work remotely, ideally from the EMEA region, with international travel as required.
Technologies:
- AI
- AWS
- Azure
- Cloud
- Embedded
- GCP
- Support
- JavaScript
- Machine Learning
- PyTorch
- Python
- TensorFlow
Requirements
- We require at least 5 years of experience in software engineering, machine learning engineering, data science, or AI solution delivery in enterprise environments.
- We require proven experience building and deploying end-to-end machine learning pipelines in production.
- We require strong knowledge of machine learning techniques, including regression, classification, clustering, and anomaly detection.
- We require deep learning experience with PyTorch and/or TensorFlow.
- We require hands-on experience with generative AI, including LLMs, RAG systems, and agent-based applications.
- We require strong Python skills; JavaScript is a plus.
- We require experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP.
- We require customer-facing consulting, solutions engineering, or enterprise delivery experience, ideally within major IT services or consulting firms.
- We require excellent communication and stakeholder management skills, including experience working with senior leadership.
- We require experience translating complex business problems into scalable, production-ready AI solutions.
Benefits & conditions
We are a leading technology consulting and AI delivery organisation offering a senior, client-facing embedded engineering opportunity. This is a remote role ideally based in the EMEA region, with international travel expected as required. We offer a very attractive salary and benefits package, and the role provides the chance to deliver high-impact machine learning and generative AI solutions for leading organisations across the region.