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Machine Learning Engineer - Contract Outside IR35 - Hybrid

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Posted a day ago, valid for 19 days
Location

Bristol, City of Bristol BS6 5EX

Salary

£45,000 - £54,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Machine Learning Engineer position is a hybrid role requiring 3 months of contract work outside IR35.
  • Candidates should have proven experience in ML engineering, particularly in R&D or exploratory environments, with a focus on NLP, LLM, and Computer Vision.
  • The role offers a competitive salary of £500-£600 per day, depending on experience.
  • SC Clearance or eligibility for SC clearance is essential for applicants.
  • This position allows for innovative work on groundbreaking ML projects while enjoying flexibility in a collaborative team setting.

Job Title: Machine Learning Engineer

Location: Hybrid (2-3 days per week in the office)

Contract Type: Outside IR35, 3 months initially

About the Role:

We are looking for a highly skilled ML Engineer to join our R&D team, working on cutting-edge projects involving Natural Language Processing (NLP), Large Language Models (LLM), Computer Vision, Voice Synthesis, and more. This role is ideally suited for a candidate who is SC Cleared or eligible for SC clearance.

As an ML Engineer, you will engage in exploratory work, focusing on building out prototypes and developing solutions to novel challenges. You'll be at the forefront of innovation, often working with ambiguous data quality and client preferences to identify and implement the best model solutions.

Key Responsibilities:

  • Work on challenging ML problems for customers, including R&D activities and the implementation of early-stage research, even on customer hardware.
  • Perform extensive experimentation throughout the project lifecycle, from data collection to defining and developing model architectures.
  • Contribute to meeting project and product deliverables, ensuring they are completed on schedule and within budget.

The Tech You'll Be Using:

  • You'll work with state-of-the-art machine learning frameworks like PyTorch and TensorFlow to develop and deploy models.
  • You'll use Redis and SQL databases and have working knowledge of AWS services to manage data storage and processing.
  • You'll use GitHub for version control, Docker and Kubernetes for deployment and integration, and Jira for collaboration.
  • You'll have the opportunity to deploy models on edge devices, particularly the Nvidia Jetson family (e.g., TX2, Orin), and specialised hardware like the Deepwave AIR-T.
  • You'll work with MLOps pipelines, particularly using ClearML, and monitoring tools such as Grafana to ensure smooth operations and performance tracking across environments.

Experience Required:

  • Proven experience as an ML Engineer, particularly in R&D or exploratory environments.
  • Strong problem-solving skills with a creative, experimental approach.
  • Ability to work independently and handle uncertainty in data quality and technology preferences.
  • Experience working on complex projects involving NLP, LLM, Computer Vision, and similar cutting-edge technologies.
  • Eligibility for SC Clearance (Essential) or existing SC Clearance preferred.

Why Apply?

  • Work on groundbreaking ML projects, including NLP, LLM, Computer Vision, and Voice Synthesis.
  • Be part of a dynamic R&D team where innovation and experimentation are encouraged.
  • Contribute to high-impact projects that push the boundaries of current ML technologies.
  • Benefit from a hybrid working model with flexibility and collaboration opportunities.

We want to hear from you if you're excited by the challenge of working with cutting-edge technology in an exploratory R&D environment!

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.