AI Platform Engineer

Dexory; England; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading company in autonomous logistics is seeking an AI Platform Engineer. The role involves building scalable data pipelines, deploying ML models, and working closely with various teams to support LLM-based applications. Candidates should have extensive experience in ML infrastructure and data engineering.

Benefits

Share options

Private healthcare via Bupa

Life insurance

Income protection

Pension: 4+% employee

Employee Assistance Programme

25 holidays per year

Full meals onsite in Wallingford

Fun team events

Qualifications

• 3-5+ years in ML infrastructure, data engineering or MLOps.
• Experience with LLMs and vector databases.
• Knowledge of orchestration tools (Airflow/MLflow).

Responsibilities

• Build scalable pipelines for retrieval-augmented generation.
• Deploy and monitor ML models using modern MLOps stacks.
• Work cross-functionally with ML, robotics, and product teams.

Skills

Python

ML Infrastructure

Data Engineering

MLOps

ETL Pipelines

Tools

AWS

GCP

Azure

Airflow

MLflow

Unity

Blender

Job description

Join the team redefining autonomous logistics with robotics and real-time AI.

At Dexory, we're transforming warehouse intelligence through robotics, data and machine learning. We're hiring an AI Platform Engineer to help build the data and infra foundations behind our next-generation AI systems.

This is a hybrid role between ML Infrastructure and Data Engineering. You'll design and scale data pipelines (RAG, vector DBs, synthetic data), build the tools that keep our models performant, and work across disciplines to support LLM-based applications in the real world. This role will be remote-based in the UK with monthly visits to our Wallingford site expected. Due to this, we cannot consider people who are not based in the UK and will be unable to provide sponsorship.
The role:

• Build scalable pipelines for retrieval-augmented generation, telemetry, and synthetic data
• Deploy and monitor ML models using modern MLOps stacks
• Own vector stores and CI/CD for both data and models
• Support annotation, data versioning, and metadata tooling for applied AI teams
• Work cross-functionally with ML, robotics and product teams

The requirements:

• 3-5+ years in ML infrastructure, data engineering or MLOps
• Python + cloud (AWS/GCP/Azure) + orchestration (Airflow/MLflow/etc)
• Experience with LLMs, vector databases, ETL pipelines
• Bonus: Unity/Blender for synthetic data, observability tooling, robotics experience

What's in it for you?

Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:

• Performance: High standards, outstanding results,
• Impact: Big challenges, bigger results
• Commitment: All in, every time
• One team: One mission, shared success

Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision.

You will also receive:

• Share options
• Private healthcare via Bupa with 24/7 medical helpline
• Life insurance
• Income protection
• Pension: 4+% employee with option to opt into salary exchange, 5% employer
• Employee Assistance Programme - mental wellbeing, financial and legal advice/support
• 25 holidays per year
• Full meals onsite in Wallingford
• Fun team events on and offsite, snacks of all kinds in the office

If you're passionate about building real-world AI systems and love turning complexity into clean, reliable foundations, then we'd love to hear from you!

AAP/EEO Statement

Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training