Machine Learning Engineer - Deep Learning

JR United Kingdom; Slough; On-site; GBP 150,000 - 200,000; Full time

Job summary

A leading consulting company is seeking a Machine Learning Engineer for a contract position in Slough. This role requires expertise in deep learning and data science to create forecasting models for high-profile retail clients. Candidates should have strong practical knowledge in Python and be comfortable implementing models in production environments. Ideal for those looking to work in a fast-paced environment with immediate project impact.

Qualifications

• Hands-on experience with forecasting in retail datasets.
• Strong communicator for explaining technical choices.

Responsibilities

• Design and build custom forecasting models.
• Apply causal methods to optimize customer behavior.
• Work from data wrangling to model deployment.

Skills

Python

Deep Learning

Forecasting

Causal AI

Graph AI

Reinforcement Learning

AWS

Docker

CI/CD

XGBoost

Tools

PyTorch

Job description

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Machine Learning Engineer - Deep Learning, slough

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Client:

Location:

slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment.

What You'll Be Doing:

Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios

Applying causal and graph-based methods to understand and optimise customer behaviour

Working across the full stack of data science, from data wrangling to deployment

Operating within a modern MLOps setup (Docker, CI/CD, AWS)

What We're Looking For:

Strong practical knowledge of deep learning fundamentals - ideally with PyTorch

Experience building bespoke models for time series, tabular, image, or text data

Hands-on forecasting experience with retail or consumer datasets

Skilled in causal inference, graph AI, or reinforcement learning

Comfortable deploying models in production environments

Strong communicator, able to clearly explain technical choices and trade-offs

Nice to Have:

Prior work in a startup, agency, or consultancy environment

This is a fast-paced project with immediate impact - if you're a data scientist who thrives on building models from scratch and solving tough commercial problems, this one's for you.

Contract Data Scientist - Forecasting, Deep Learning, Causal AI (Retail)
£600-700/day | 4 Months | Start ASAP | Inside IR35

RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment.

What You'll Be Doing:

• Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios

• Applying causal and graph-based methods to understand and optimise customer behaviour

• Working across the full stack of data science, from data wrangling to deployment

• Operating within a modern MLOps setup (Docker, CI/CD, AWS)

• Contributing to product-facing tooling (bonus if you've used JavaScript / Next.js / TypeScript)

What We're Looking For:

• Strong practical knowledge of deep learning fundamentals - ideally with PyTorch

• Experience building bespoke models for time series, tabular, image, or text data

• Hands-on forecasting experience with retail or consumer datasets

• Skilled in causal inference, graph AI, or reinforcement learning

• Comfortable deploying models in production environments

• Strong communicator, able to clearly explain technical choices and trade-offs

Nice to Have:

• Exposure to JavaScript, TypeScript, or Next.js

• Prior work in a startup, agency, or consultancy environment

This is a fast-paced project with immediate impact - if you're a data scientist who thrives on building models from scratch and solving tough commercial problems, this one's for you.

Desired Skills and Experience
Python, PyTorch, XGBoost, Deep Learning, Forecasting, Causal AI, Graph AI, Reinforcement Learning, Time Series, AWS, Docker, CI/CD