Python Software Engineer – HIRING ASAP

Start date: ASAP
Duration: 12-month contract
Location: 3 days in Cambridge, 2 days remote working
Rate: £400 - £550 per day PAYE

Summary

The role is ideal for someone with an enterprise development background, with a strong technology, coding, and data skills, looking to operate in a less constrained environment, as part of an accelerated development team.

The role is ideal for a skilled technical leader with strong design, teamwork and influencing skills.
Ideally the candidate is a full stack, but this role will be primarily focused on processing and generating Analytics from structured and unstructured datasets with the ability of parallel processing potentially in the cloud.

The successful candidate will have the opportunity to get exposure to prompt engineering for Large Language Models (LLMs) such as OpenAI’s GPT-4 (ChatGPT), Google Gemini, and Anthropic Claude, with practical experience in designing, optimizing, and deploying AI/ML workflows in production environments to drive business value and innovation.

Responsibilities

Create robust, flexible, and scalable ML tooling and infrastructure which supports research scientists to leverage our clients’ powerful infrastructure (through e.g. source control, distributed compute clusters, data storage).
Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued.
Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly, and get things done with a high level of efficiency.
Coordinate with a large set of internal infrastructure and tool teams across the lab and across our client to evaluate and integrate with existing systems.
Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.

Key Skills

Bachelor’s degree in computer science or related field, or equivalent work experience.
4+ years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow.
2+ years industry experience working with large, complex data sets for machine learning, including capture and annotation.
Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.
Experience working with high performance or distributed compute solutions.
Deployment and continuous integration experience.
Familiarity with Machine Learning for Audio, multimodal or DSP purposes
Experience writing scalable ML tooling/pipelines for use by researchers.
Experience in Linux or Windows shell scripting.
Ability to gather requirements and work closely with researchers to develop novel solutions.
History of writing code to support the execution of research initiatives.

Top 3 Skills