Machine Leaning Developer with AI &Python

Sheffield
1 week ago
Create job alert

Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

Model Development: Build and iterate on models for content extraction and classification.
End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

Azure Machine Learning: Proven experience within the Azure ecosystem.
Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.Frameworks & Tools:

ML/DL: TensorFlow, PyTorch, or Hugging Face.
Processing: OpenCV, Spacy, Regex, and OCR technologies.
DevOps/Security: Experience delivering secure, resilient code and managing APIs.Nice to Have:

Knowledge of PostgreSQL for data management.
Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
Experience in high-cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Graduate Machine Learning and AI Engineer

Senior Machine Learning Engineer

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.

How Many Cloud Computing Tools Do You Need to Know to Get a Cloud Job?

If you are aiming for a role in cloud computing, it can feel like the skills list never ends. One job advert asks for AWS, Terraform and Kubernetes. Another mentions Azure DevOps, PowerShell and ARM templates. A third throws in Docker, Python, Linux, CI/CD, monitoring tools and security frameworks. It is no surprise that many cloud job seekers feel overwhelmed before they even apply. Here is the reality most cloud hiring managers agree on: they are not hiring you because you know every cloud tool. They are hiring you because you understand cloud concepts, can design reliable systems, manage costs, keep things secure and support real workloads. Tools matter, but only when they support outcomes. So how many cloud computing tools do you actually need to know to get a job? For most roles, the answer is far fewer than you think. This article explains what employers really expect, which tools are essential, which are role-specific, and how to focus your learning so you look capable and employable rather than scattered.

What Hiring Managers Look for First in Cloud Computing Job Applications (UK Guide)

anding a job in cloud computing can be highly competitive — especially in the UK market where demand far outpaces supply in many segments. Whether you’re aiming for roles in Cloud Engineering, DevOps, Site Reliability, Cloud Architecture, Security, Data/Analytics, or Platform Operations, hiring managers screen applications quickly and with specific priorities in mind. Hiring managers don’t read every detail at first; they scan for critical signals in the first 10–20 seconds. These early signals determine whether your CV gets read more closely, whether your LinkedIn profile gets clicked, and whether you’re invited to interview. This guide breaks down, in practical terms, exactly what hiring managers look for first in cloud computing applications — and what you should emphasise in your CV, cover letter and portfolio to stand out on www.cloudcomputingjobs.co.uk .

The Skills Gap in Cloud Computing Jobs: What Universities Aren’t Teaching

Cloud computing underpins almost every modern digital service. From financial systems and healthcare platforms to AI, e-commerce, government infrastructure and cybersecurity, the cloud is now the default operating environment for UK organisations. Demand for cloud professionals has grown rapidly, with roles spanning architecture, engineering, security, DevOps, platform operations and cost optimisation. Salaries remain high, and vacancies remain stubbornly difficult to fill. Yet despite a growing number of graduates with computer science, IT and software engineering degrees, employers across the UK report a persistent problem: Too many candidates are not job-ready for real cloud computing roles. This is not a question of intelligence or motivation. It is a structural skills gap between what universities teach and what cloud jobs actually require. This article explores that gap in depth: what universities do well, what they consistently miss, why the gap exists, what employers genuinely want, and how jobseekers can bridge the divide to build sustainable careers in cloud computing.