AI/Machine Learning Developer

Rowhedge
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Legal Technologist - Artificial Intelligence & Machine Learning

Data Science and Innovation Manager

Machine Learning Research Engineer – NLP / LLM

Machine Learning Research Engineer – NLP / LLM

Machine Learning Research Engineer - NLP / LLM - RedTech Recruitment

At Merlin Cloud, we are transforming the way retailers understand customer behavior through AI-driven camera analytics. Our platform provides real-time insights, helping stores optimize their layouts, improve customer engagement, and boost profitability. We're expanding our AI team to accelerate innovation and strengthen our machine learning capabilities.

We are seeking a Graduate AI/Machine Learning Developer to join our growing AI team. You’ll work closely with our AI developer and other key members of the development team to enhance and build new machine learning models and data-driven solutions that power our platform’s analytics engine.

Please only conddiders is oppertunaity if you can be office based a minimum of days a week in Colchester

————————

Key Responsibilities:

Assist in developing and deploying machine learning models that process camera data for customer behavior analysis (e.g., footfall tracking, product interaction detection).

Work with the AI team to build models for real-time data analysis, including occupancy tracking, customer engagement, and conversion rate analysis.

Collaborate with the AI team to design and implement computer vision algorithms for object detection, heatmapping, and session tracking.

Support the training, validation, and optimization of AI models, ensuring accuracy and scalability.

Integrate AI/ML models with Merlin Cloud’s platform to provide real-time insights to clients.

Continuously research and prototype new AI techniques that could enhance the platform’s analytics capabilities.

Help maintain the AI codebase, ensuring clean, scalable, and efficient code.

Collaborate with the full-stack and frontend developers to integrate AI insights into dashboards and reports for end-users.

————————

Required Skills & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Strong understanding of machine learning algorithms and their applications.

Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn.

Knowledge of computer vision techniques (e.g., object detection, tracking, and segmentation).

Experience with data preprocessing, model training, and model validation.

Strong problem-solving skills with the ability to design, implement, and debug models.

Good understanding of neural networks, deep learning, and relevant AI/ML methodologies.

Basic understanding of cloud platforms (e.g., AWS, GCP, or Azure) and data management workflows.

————————

Desirable Skills:

Experience in developing real-time data analytics systems.

Familiarity with camera-based data processing or video analytics.

Hands-on experience with image processing tools such as OpenCV.

Experience with API integration to link AI models with cloud services.

Understanding of GDPR and data privacy as it relates to AI in retail environments.

————————

Benefits:

Opportunity to work in a cutting-edge AI environment.

Collaborate on impactful AI-driven projects for real-world applications.

Be part of a dynamic, innovative team working to transform retail analytics.

Competitive salary and benefits package

Ongoing training and career development opportunities.

Hybrid flexible working (Minimum 2 days in office per week)

New top of the range MacBook Pro

————————

Application Process:

If you're passionate about applying AI/ML to solve real-world problems and want to be part of an innovative team, we'd love to hear from you! Please submit your CV and a brief cover letter outlining your interest in the role.

————————

Starting Salary: £32,500 - £36,500 per annum

Location: Colchester, Essex

Job Type: Full-time (Hybrid)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.