Roles we hire for

From AI to the humans who build it.

We specialise exclusively in AI, data, and deep-tech talent. If it's on this list, we've placed it before.

1

Artificial Intelligence

AI Engineer

Building and deploying AI systems at scale. LLMs, inference pipelines, model serving.

ML Researcher

Pushing the frontier. Novel architectures, academic-to-industry transitions, R&D labs.

Prompt Engineer

Designing and optimising prompts for production LLM applications.

AI Ethics Lead

Responsible AI, bias auditing, governance frameworks, policy.

2

Data & Analytics

Data Scientist

Statistical modelling, experimentation, business intelligence, and predictive analytics.

Data Engineer

Pipelines, warehouses, lakehouses. dbt, Spark, Airflow, Snowflake.

Analytics Engineer

The bridge between data engineering and business insight.

Quantitative Analyst

Quant finance, risk modelling, algorithmic trading, statistical arbitrage.

3

MLOps & Infrastructure

MLOps Engineer

CI/CD for ML. Model monitoring, feature stores, training infrastructure.

AI Platform Engineer

Building the internal platforms that AI teams run on.

Computer Vision Engineer

Image and video understanding. Object detection, segmentation, generative vision.

NLP Specialist

Text understanding, information extraction, conversational AI.

4

Product & Leadership

AI Product Manager

Shipping AI products. Roadmap, prioritisation, working with research and engineering.

Head of Data / VP Data

Building and leading data organisations. Strategy, hiring, stakeholder management.

Chief AI Officer

Executive AI leadership. Strategy, governance, board-level communication.

Robotics Engineer

Autonomous systems, ROS, perception, motion planning, embedded AI.

Don't see your role listed?

If it's technical and niche, we've probably placed something similar. Get in touch.

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