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AI Engineer - Manchester
My client is embarking on a transformative journey and is seeking their first AI Engineer to lead the exploration, development, and integration of artificial intelligence solutions across the business. This is a rare greenfield opportunity to define how AI can drive automation, efficiency, and enhanced customer experiences in a fast-moving financial services environment.
As the AI Engineer, you will be responsible for identifying high-impact use cases, building proof-of-concepts, and deploying scalable AI models. You’ll work closely with stakeholders across technology, operations, data, and compliance to ensure AI initiatives are innovative, responsible, and aligned with strategic goals.
Key Responsibilities
AI Engineer - Manchester
My client is embarking on a transformative journey and is seeking their first AI Engineer to lead the exploration, development, and integration of artificial intelligence solutions across the business. This is a rare greenfield opportunity to define how AI can drive automation, efficiency, and enhanced customer experiences in a fast-moving financial services environment.
As the AI Engineer, you will be responsible for identifying high-impact use cases, building proof-of-concepts, and deploying scalable AI models. You’ll work closely with stakeholders across technology, operations, data, and compliance to ensure AI initiatives are innovative, responsible, and aligned with strategic goals.
Key Responsibilities
- Research and prototype AI/ML models to address business challenges (e.g., process automation, predictive analytics, customer service optimisation)
- Develop and deploy machine learning models using modern tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn)
- Collaborate with data engineers to prepare and manage training datasets
- Integrate AI solutions with existing applications and infrastructure
- Partner with stakeholders to understand requirements, identify opportunities, and communicate results clearly
- Stay current with AI trends, tools, and ethical considerations in applied machine learning
- Lay the groundwork for a scalable AI strategy and help build internal capability
- Proven experience developing and deploying AI/ML models in a commercial setting
- Strong programming skills in Python and familiarity with ML libraries and frameworks
- Solid understanding of statistical modelling, natural language processing (NLP), and/or deep learning
- Experience working with structured and unstructured data sources
- Familiarity with MLOps practices and tools (e.g., model versioning, CI/CD for ML, cloud deployment)
- Excellent communication and stakeholder engagement skills
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
- Experience in financial services is a plus but not required
- Be the AI pioneer in a tech-forward, ambitious organisation
- Shape the roadmap and vision for how AI is used across the business
- Work in a collaborative environment that values innovation and experimentation
- Hybrid working with flexibility and strong leadership support
- Competitive salary and opportunities for professional growth
AI Engineer - Manchester
Key Skills
Ranked by relevance
ai
python
natural language processing
artificial intelligence
machine learning
tensorflow
pytorch
cloud
mlops
cicd
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- Posted
- Jun 09, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Manchester
- Company
- Adria Solutions Ltd
Industries
Staffing
Recruiting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
AI Software Engineer (m/f/d) - Berlin
2026-05-21
Full-time
Mid-Senior
Germany
Staffing
Information Technology
View Job Details
Related
Data Scientist
2026-05-20
Full-time
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View Job Details
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Full Stack Engineer
2026-05-20
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