ARM (Advanced Resource Managers)
Machine Learning Engineer
Machine Learning Engineer at ARM (Advanced Resource Managers), based in Manchester, Greater Manchester. This is a contract role.
- Pay
- Not given by the employer
- Hours and contract
- Contract · On site
- Location
- Manchester, Greater Manchester
- Closing date
- Sector
- Data Analyst
Reference jobs/machine-learning-engineer-21409
About the role
Location
Manchester, Greater ManchesterSalary
NegotiableContract
ContractThe Opportunity
A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade AI systems and driving engineering best practices across complex client engagements.
Key Responsibilities
- Lead the design and delivery of AI, Machine Learning, Agentic AI and RAG-based solutions.
- Build and deploy production-grade models using Python, PyTorch and modern transformer architectures.
- Design scalable MLOps frameworks, CI/CD pipelines and model deployment strategies.
- Develop model serving capabilities using cloud-native technologies and containerised environments.
- Create reusable frameworks, tooling and templates to accelerate AI adoption.
- Drive model monitoring, drift detection, testing and governance best practices.
- Collaborate with architects, data scientists, platform engineers and stakeholders to deliver business value.
- Mentor and coach engineers while promoting engineering excellence across teams.
- Support technical strategy, research and innovation initiatives.
What We're Looking For
- Extensive experience in AI Engineering, Machine Learning Engineering or Applied AI.
- Expert-level Python and PyTorch skills.
- Strong understanding of LLMs, transformer architecture and model optimisation.
- Experience designing and deploying RAG solutions and AI agents.
- Strong cloud experience, ideally within Google Cloud Platform (GCP).
- Experience with Docker, Kubernetes and modern MLOps tooling.
- Proven experience taking AI solutions from concept to production at scale.
- Strong communication skills with both technical and business stakeholders.
- Experience leading technical design and mentoring engineers.
Desirable Experience
- Financial services or regulated industry experience.
- Experience within enterprise-scale AI environments.
- Knowledge of Vertex AI, KServe and MLFlow.
- Feature Store and Model Registry experience.
- Experience building internal AI platforms or reusable AI frameworks.
- Cloud certifications and advanced academic qualifications are beneficial.
Disclaimer
This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Apply Job reference 5489451_1793634541 Date posted 02 November 2026 Sector Information TechnologyShare Job
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Reference: jobs/machine-learning-engineer-21409 · Posted 2 days ago · Closes 2 Dec 2026 · Listed via ARM (Advanced Resource Managers)
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