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Synthires

Machine Learning Engineer (Remote | $80–$140/hr)

London
$60 – $100/hr
Posted about 15 hours ago
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Machine Learning Engineer

Position: Machine Learning Engineer

Type: Contractor

Compensation: $80–$140/hour

Location: Remote

About the Opportunity

We are seeking experienced Machine Learning Engineers to contribute to a project focused on developing, evaluating, and improving next-generation AI systems. In this role, you will leverage your expertise in machine learning, data analysis, and model development to help create high-quality training data and improve the performance of advanced AI models.

This opportunity is ideal for professionals with hands-on experience building machine learning solutions, working with large datasets, and deploying scalable ML workflows. You will work on real-world machine learning challenges involving model training, evaluation, experimentation, and data-driven problem-solving.

The work is fully remote, flexible, and centered on practical machine learning applications. No prior AI training or evaluation experience is required.

Key Responsibilities

  • Design, develop, and refine machine learning models using Python and relevant ML frameworks.
  • Analyze large datasets and utilize MongoDB for efficient data storage, retrieval, and management.
  • Build and optimize data pipelines, preprocessing workflows, and feature engineering processes.
  • Evaluate model performance using appropriate metrics, benchmarking techniques, and validation methodologies.
  • Conduct hyperparameter tuning and experimentation to improve model accuracy and efficiency.
  • Collaborate with project contributors to identify opportunities for model enhancement and implementation.
  • Document methodologies, experiments, results, and technical decisions to ensure reproducibility.
  • Deliver actionable insights and recommendations based on machine learning outcomes and data analysis.
  • Support workflow improvements across training, evaluation, and inference processes.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Required Qualifications

  • Strong proficiency in Python.
  • Experience building and training machine learning models.
  • Strong understanding of machine learning concepts, model evaluation, and statistical analysis.
  • Experience working with large datasets and data preprocessing workflows.
  • Knowledge of feature engineering, model validation, and performance optimization techniques.
  • Strong analytical and problem-solving skills.
  • Excellent written communication and technical documentation abilities.
  • Ability to work independently in a remote environment.

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Preferred Qualifications

  • Deep familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Hands-on experience with MongoDB for data manipulation, storage, and retrieval.
  • Experience deploying or operationalizing machine learning models in production environments.
  • Familiarity with cloud platforms, MLOps workflows, and scalable ML infrastructure.
  • Experience building automated data pipelines and machine learning workflows.
  • Strong understanding of experimentation, benchmarking, and model performance analysis.
  • Ability to adapt quickly to evolving project requirements and collaborate effectively in remote teams.

Compensation

  • $80–$140/hour
  • Remote contract engagement
  • Flexible schedule
  • Project-based work

Additional Details

  • Fully remote opportunity.
  • 35 openings available.
  • Flexible workload with no fixed schedule.
  • Applications reviewed on a rolling basis.
  • No prior AI experience required.
  • Work involves real-world machine learning development, evaluation, experimentation, and optimization tasks.
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Location

London, England, United Kingdom

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