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Machine Learning Engineer

SR2
Posted 15 hours ago, valid for a month
Location

London, Greater London EC1R 0WX

Salary

£50,000 - £60,000 per annum

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Contract type

Full Time

Retirement Plan

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 company is dedicated to reducing societal inequalities through data-driven partnerships, particularly in social domains like homelessness.
  • They are looking for candidates with 3-5+ years of experience in MLOps or similar roles, offering a competitive salary that is reviewed annually.
  • The role involves designing and building scalable ML pipelines to address challenges in social care and financial support, with a remote-first work setup.
  • Benefits include flexible working hours, 25 days of annual leave, a pension plan, and paid training opportunities.
  • Candidates should have proficiency in Python, experience with cloud platforms like Azure, and strong problem-solving skills.

About:

Founded with a mission to reduce societal inequalities, the company focuses on harnessing data and insights to drive impactful partnerships. They collaborate with a range of local authorities on various social domains, such as homelessness

Their primary offering is a DaaS (Data as a Service) platform tailored to improve frontline support and outcomes for vulnerable residents. They emphasise aligning their work with meaningful results for end-users. They are seeking team members who are passionate about the mission and committed to helping local communities through innovative data solutions.

In this role, you'll be tasked with designing and building robust, scalable ML pipelines to address real-world challenges, particularly in areas like social care and financial support.

Location Remote-first, with the potential for occasional in-person meetings.

Benefits

  • Competitive, annually reviewed salary
  • The opportunity to join a mission-driven team focused on resolving key societal issues
  • Flexible working hours to accommodate life commitments, emphasising output over time logged
  • Remote work setup, except for monthly team meetings and occasional client visits
  • Paid training and development opportunities through the appraisal process
  • 25 days of annual leave, excluding bank holidays
  • Company pension plan enrolment
  • Provision of necessary IT equipment (laptop included)
  • Covered travel and accommodation expenses for required in-person meetings

Responsibilities

  • Deploy, optimise, and monitor ML models in production, including NLP, decision trees, and logistic regression models
  • Enhance data pipelines using Azure Batch & Azure ML, improving data lineage, quality, and minimising production errors
  • Design and implement high-performance data stores for efficient data processing and retrieval
  • Ensure infrastructure supporting ML models is secure, scalable, and reliable
  • Develop a machine-learning-driven alert system to provide actionable, real-time notifications based on data-driven triggers
  • Collaborate closely within a small, autonomous team, fostering innovation and effectively partnering with data engineering to create cross-functional ML pipelines

Requirements & Experience

  • 3-5+ years in MLOps or similar roles, with a solid understanding of the ML lifecycle
  • Proficiency in Python or similar languages, and experience with ML frameworks (e.g., PyTorch, XGBoost, LightGBM)
  • Experience with cloud platforms, such as Azure ML Studio & Azure Batch, or comparable environments
  • Skilled in containerisation (Docker, Kubernetes) and CI/CD automation
  • Knowledgeable in predictive modelling, NLP, and various ML techniques
  • Strong problem-solving skills for tackling complex ML system issues
  • Excellent communicator for both technical and non-technical audiences
  • Team-oriented, with a collaborative approach to work

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.