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Lead ML Engineer - job post

4-Xtra Technologies Limited
£55,000 - £65,000 a year - Permanent, Full-time

Job details

Here’s how the job details align with your profile.


  • £55,000 - £65,000 a year

Job type

  • Permanent
  • Full-time

Shift and schedule

  • Monday to Friday

Pulled from the full job description

  • Company pension
  • Life insurance
  • Private medical insurance
  • Work from home

Full job description

The Company

Help us predict Finance’s Swans: White Swans - impactful shifts, Black Swans - rare upheavals. In the era of Digitalization, Big Data and ESG, anticipating these events are a key challenge in the complex world of financial markets.

4-Xtra Technologies is an innovative tech start-up. Our mission is to revolutionise the landscape of forecasting high-impact events by harnessing cutting-edge research-based technologies and advanced data processing capabilities via probabilistic algorithms, using artificial intelligence and machine learning.

At the core of our innovation lies 4-Xtra’s Extreme Forecasting Engine, which has been developed to accurately predict the likelihood and magnitude of multi-variate events. When coupled with our Synthetic Data Generator, which is designed to address data scarcity and digital privacy concerns, our solution goes even further. It can generate extreme samples of synthetic data that surpass the bounds of the original dataset, enabling our clients to explore and prepare for the most extraordinary scenarios.

Join us at 4-Xtra, redefining the possibilities of extreme event forecasting.

The Role

As our Lead Machine Learning Engineer, you'll work closely with the Principal Data Scientist, developing our core products to meet a variety of use cases in the financial services industry. Specifically, you will hold responsibility for rapidly developing and converting proof-of-concept projects to enterprise solutions, produce scalable machine learning models including supervised and unsupervised methods, design, build and maintain our strategic platform and tooling, and communicate findings to key stakeholders. This is an opportunity to join a fast-growing team and develop your skills more widely, becoming involved in all areas of the software development lifecycle.

Please note that the role will be largely remote, with occasional in person meetings in Leeds.

Competitive salary, commensurate with relevant skills and experience.

The Successful Candidate

  • Full professional PyTorch/Tensorflow expertise (preferably PyTorch).
  • 2+ years of commercial experience in ML/AI development, deployment and serving.
  • 5+ years of Python experience.
  • MSc/PhD graduate in computer science, data science, statistics, mathematics, or a related field.
  • Superb analytical and problem-solving skills.
  • Excellent project management capabilities, leading tasks end-to-end.

Product Knowledge

Demonstrable knowledge of the following are essential requirements for the role and a technical assessment will be set as part of the recruitment process. Please only apply if you can evidence skills in all of these areas:

  • Time Series Forecasting
  • GANs
  • Gradient Boosting
  • AWS Stack (EC2, S3, Sagemaker, Athena, Lambda, etc.)
  • Model deployment, serving and management (AWS)
  • Linux
  • Docker
  • CI/CD
  • GitLab/Hub

Additionally, your application is likely to be considered more favourably if you can demonstrate knowledge in:

  • NLP
  • Modern Transformer-based Generative Models
  • FastAPI
  • Statistics (Bayesian modelling, MCMC)

Job Types: Permanent, Full-time

Pay: £55,000.00-£65,000.00 per year


  • Company pension
  • Life insurance
  • Private medical insurance
  • Work from home


  • Monday to Friday


  • Master's (required)


  • Machine learning: 2 years (required)
  • Python: 5 years (required)

Work Location: Remote

Application deadline: 27/10/2023
Reference ID: Lead ML Eng

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