Senior AI Engineer Manager/Associate Director Capital Markets
- Datatech
- City, Manchester
- 20/05/2026
Seasonal
Information Technology
Telecommunications
Job Description
Senior AI Engineer Manager/Associate Director Capital Markets
Location: Manchester
Working pattern: Hybrid
Salary: Compensation aligned to experience and seniority
Ref: J13116
Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments.
This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale.
You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications.
Key responsibilities:
Building and deploying AI prototypes, products and production ready solutions
Designing and implementing end to end AI solutions that integrate with enterprise systems
Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning
Developing AI agents and agentic workflows using modern frameworks
Working with vector databases, APIs and modern data platforms
Supporting AI deployment, serving patterns, evaluation frameworks and integration design
Using Python and SQL to build robust, scalable AI and data solutions
Working with cloud platforms such as AWS, Azure, GCP or Databricks
Supporting MLOps, LLMOps, CI/CD and software engineering best practice
Collaborating with technical and non-technical stakeholders across complex programmes
Helping identify technical, delivery, security, data privacy and regulatory risks
Contributing to technical documentation, solution design and delivery planning
Supporting AI implementation and scaling initiatives across complex environments
Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment
Experience Required:
Strong Python and SQL experience
Applied AI engineering, ML engineering or software engineering background
Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning
Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks
Experience with vector databases such as Pinecone, Chroma or similar
API development experience, ideally with FastAPI or similar frameworks
Knowledge of MLOps, LLMOps, CI/CD or production deployment practices
Experience designing or supporting evaluation frameworks for AI or agentic systems
Experience working with modern data architectures and cloud platforms
Understanding of AI risk, governance, security and regulatory considerations
Financial services experience within capital markets or broader banking environments
This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Location: Manchester
Working pattern: Hybrid
Salary: Compensation aligned to experience and seniority
Ref: J13116
Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments.
This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale.
You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications.
Key responsibilities:
Building and deploying AI prototypes, products and production ready solutions
Designing and implementing end to end AI solutions that integrate with enterprise systems
Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning
Developing AI agents and agentic workflows using modern frameworks
Working with vector databases, APIs and modern data platforms
Supporting AI deployment, serving patterns, evaluation frameworks and integration design
Using Python and SQL to build robust, scalable AI and data solutions
Working with cloud platforms such as AWS, Azure, GCP or Databricks
Supporting MLOps, LLMOps, CI/CD and software engineering best practice
Collaborating with technical and non-technical stakeholders across complex programmes
Helping identify technical, delivery, security, data privacy and regulatory risks
Contributing to technical documentation, solution design and delivery planning
Supporting AI implementation and scaling initiatives across complex environments
Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment
Experience Required:
Strong Python and SQL experience
Applied AI engineering, ML engineering or software engineering background
Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning
Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks
Experience with vector databases such as Pinecone, Chroma or similar
API development experience, ideally with FastAPI or similar frameworks
Knowledge of MLOps, LLMOps, CI/CD or production deployment practices
Experience designing or supporting evaluation frameworks for AI or agentic systems
Experience working with modern data architectures and cloud platforms
Understanding of AI risk, governance, security and regulatory considerations
Financial services experience within capital markets or broader banking environments
This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
About Datatech