Senior Data Scientist / Machine Learning Engineer

Harnham; London; Hybrid; GBP 110,700 - 147,600; Full time

Job summary

An established industry player is seeking a Senior Data Scientist / Machine Learning Engineer to join their dynamic team in London. This role involves applying classical machine learning techniques to tackle significant challenges for private equity-backed businesses. You will work closely with a collaborative team, focusing on optimization and predictive modeling to enhance operational efficiency. The position offers a hybrid work environment, allowing you to engage directly with clients while contributing to impactful projects. If you have a strong background in machine learning and a passion for solving complex problems, this opportunity is perfect for you.

Qualifications

• 3-5+ years' experience in classical ML applications.
• Excellent Python coding skills using libraries like Pandas and NumPy.
• Strong understanding of supervised and unsupervised learning methods.

Responsibilities

• Apply classical ML to solve high-value problems.
• Optimize manufacturing throughput and reduce asset downtime.
• Collaborate with a team on client-facing projects.

Skills

Python

Machine Learning

Predictive Modelling

Geospatial Modelling

Communication Skills

Education

Degree in Quantitative Discipline

Master's Degree (Preferred)

Tools

AWS

Azure

SageMaker

DBT

Job description

Senior Data Scientist / Machine Learning Engineer

Senior Data Scientist / Machine Learning Engineer

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Senior Consultant - AI, Machine Learning and Data Science

Contract Senior Data Scientist / ML Engineer
£600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week)

We're working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.

You will be joining a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London.

The work focuses on traditional ML use cases, such as:

Optimisation modelling to improve manufacturing throughput

Predictive modelling to anticipate and reduce asset downtime

Customer churn prediction and mitigation

Next-best-action modelling for sales agents

Geospatial modelling to inform store and asset placement decisions

Must-Have Requirements:

3-5+ years' experience applying classical ML in commercial settings

Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn)

Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.)

Comfortable working across the full ML lifecycle

Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments

• Experience with AWS / Azure and SageMaker

Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams

Degree from a top university in a quantitative discipline (Master's preferred)

Based in London and able to attend the client site 2 x per week.

Nice-to-Haves:

Experience with geospatial modelling, time series forecasting, or operational optimisation

DBT

Interviews are taking place this week. Start ASAP.

Please email

Contract Senior Data Scientist / ML Engineer
£600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week)

We're working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.

You will be joining a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London.

The work focuses on traditional ML use cases, such as:

• Optimisation modelling to improve manufacturing throughput

• Predictive modelling to anticipate and reduce asset downtime

• Customer churn prediction and mitigation

• Next-best-action modelling for sales agents

• Geospatial modelling to inform store and asset placement decisions

Must-Have Requirements:

• 3-5+ years' experience applying classical ML in commercial settings

• Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn)

• Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.)

• Comfortable working across the full ML lifecycle

• Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments

• Experience with AWS / Azure and SageMaker

• Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams

• Degree from a top university in a quantitative discipline (Master's preferred)

• Based in London and able to attend the client site 2 x per week.

Nice-to-Haves:

• Experience with geospatial modelling, time series forecasting, or operational optimisation

• DBT

Interviews are taking place this week. Start ASAP.

Please email

Desired Skills and Experience

Predictive Modelling, Python Machine Learning, Full ML Lifecycle

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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