Principle AIML Manager

Collinson; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A global technology solutions provider in Greater London is seeking a Principal AI / ML Engineer to lead the design and implementation of advanced AI solutions. This role will involve architecting robust AI systems, guiding engineering teams, and ensuring the delivery of scalable, ethical AI services. The ideal candidate should have a strong background in Python, AI / ML pipelines, and cloud-native systems, along with proven experience in mentoring and leading teams. Competitive compensation and full-time employment offered.

Benefits

Leading technology solutions environment

Diversity and inclusivity initiatives

Qualifications

• Proven experience in architecting AI solutions at scale.
• Ability to develop end-to-end AI / ML pipelines.
• Strong engineering discipline in testing and optimization.

Responsibilities

• Lead design and delivery of AI / ML pipelines.
• Integrate AI capabilities into enterprise platforms.
• Mentor engineers in modern AI practices.

Skills

AI / ML pipeline design

Python programming

ML/DL model deployment

Cloud-native AI engineering

Team leadership

Data integration with SQL

Hands-on experience with orchestration frameworks

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

PyTorch

TensorFlow

AWS

Azure

Job description

Purpose of the Job

Collinson’s Travel Experience division has an ambitious roadmap to deliver customer‑centric global solutions with consideration for regional difference. We are seeking a Principal AI / ML Engineer to architect, build and operationalise the next‑generation AI solutions at Collinson. This role will combine deep technical engineering expertise with strategic leadership to ensure AI is delivered at scale with robustness, transparency and measurable business impact.

Key Responsibilities

• Lead the design and delivery of end‑to‑end AI / ML pipelines ensuring solutions are scalable, resilient and aligned with business objectives.
• Develop and deploy advanced ML/DL and LLM models including RAG pipelines, agentic AI architectures, and evaluation frameworks such as LLM‑as‑a‑Judge.
• Integrate AI capabilities into enterprise platforms and products in a governed model‑agnostic and future‑proof manner.
• Implement monitoring and observability to manage drift, bias, fairness and performance with clear processes for escalation and retraining.
• Establish guardrails for responsible AI adoption covering explainability, bias detection, security and compliance.
• Mentor and guide engineers to strengthen expertise in ML engineering orchestration frameworks and modern AI practices.
• Communicate AI / ML system behaviours, risks and outcomes effectively to technical and non‑technical stakeholders.
• Collaborate with the Head of AI Labs to translate AI research and strategy into production‑grade engineering solutions.

Education

Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Machine Learning or a related field. PhD in a relevant discipline is advantageous but not required.

Skills and Experience

• Proven ability to design and productionise retrieval‑augmented generation (RAG) pipelines and agentic AI architectures with practical use of Model Context Protocol (MCP) and evaluation frameworks such as LLM‑as‑a‑Judge.
• Hands‑on experience building agent‑based AI solutions using orchestration frameworks (e.g., LangChain, Crew AI etc.) deployed in production environments.
• Expert programming skills in Python with strong engineering discipline in testing, optimisation, CI/CD and code quality; proficiency in TypeScript (good to have) and working knowledge of SQL for data integration.
• Demonstrated success in developing fine‑tuning and deploying ML/DL models using PyTorch and TensorFlow and operationalising LLM APIs (OpenAI, Anthropic) into customer‑facing applications.
• Experience integrating and scaling vector databases (Pinecone, Weaviate, Milvus) in live systems to support retrieval and reasoning workloads.
• Expertise in cloud‑native AI engineering with deep delivery experience in AWS and working knowledge of Azure; ability to design distributed fault‑tolerant AI systems in cloud environments.
• Demonstrated capability to embed governance, privacy, security and compliance controls directly into AI systems without slowing innovation.
• Leadership experience in mentoring engineering teams, setting technical direction and aligning AI delivery with business strategy.
• Proven ability to manage competing priorities and deliver robust, scalable and ethical AI/ML solutions under tight timelines.
• Track record of delivering enterprise‑ready AI services, agents and APIs that are adopted and reused across multiple business functions.
• Ongoing commitment to staying ahead of LLM generative AI and agent‑based innovations and translating them into practical enterprise use cases.

Person Specification

• Self‑motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape.
• Ability to thrive in a fast‑moving environment and drive innovation that aligns with business goals.
• Ability to show initiative, innovation and work independently when required.
• Ability to work at pace and tackle project challenges in a collegiate collaborative way.
• Goal and outcome‑oriented with a strong focus on delivering measurable business results.
• Thoroughness and attention to detail ensuring high‑quality deliverables that drive business value.
• Excellent communication skills (ability to present, inform and guide others).
• Ability to bridge communications between technical and business‑focused groups.
• Comfortable working with people at all levels in an organisation.

Equal Opportunity Employer

Collinson is an equal opportunity employer and welcomes differences in all their forms including : colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on‑going success.

Company Values

We are focused on continually evolving our purpose driven high performing culture providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are : Take Action, Do the right thing, One team and Be insight led.

Application – Pronouns

In your application please feel free to note which pronouns you use (For example – she / her / hers, he / him / his, they / them / theirs etc).

Employment Type: Full Time | Experience: years | Vacancy: 1