Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist Contractor

London
9 months ago
Applications closed

Related Jobs

View all jobs

Connections Data Scientist

Data Scientist

Associate Data Scientist

Director, Data Science - Measurement & Optimization

Machine Learning Engineer

Machine Learning Engineer

Azure Data Scientist - Contract

đź’° Rate: ÂŁ600 per day (Outside IR35)
đź“Ť Location: Central London (Hybrid - 1 day per week onsite)

About the Role:

We are seeking an experienced Azure Data Scientist to join a forward-thinking team on a contract basis. You'll be responsible for designing, developing, and deploying machine learning models and AI solutions using Azure's cloud ecosystem. This role is perfect for someone who thrives on solving complex data challenges and delivering insights that drive business decisions.

Key Responsibilities:

Design and implement machine learning models using Azure Machine Learning (AML) and related services.
Develop data pipelines and integrate models into production using Azure Databricks, Synapse, and Data Factory.
Work with large datasets, applying AI/ML techniques for predictive analytics and optimization.
Deploy and monitor machine learning models in production using MLOps best practices.
Collaborate with data engineers, analysts, and stakeholders to define data strategies and ensure business value.
Optimize data storage, processing, and retrieval using Azure Data Lake, SQL Server, and Cosmos DB.

Required Skills & Experience:

Strong experience in Data Science & Machine Learning with a proven track record in Azure environments.
Proficiency in Python, PySpark, and SQL for data manipulation and model development.
Hands-on experience with Azure Machine Learning (AML), Databricks, Synapse, and Cognitive Services.
Solid understanding of MLOps, CI/CD pipelines, and deployment automation.
Familiarity with Azure DevOps, Kubernetes (AKS), and containerization (Docker) is desirable.
Experience in Natural Language Processing (NLP), Computer Vision, or Deep Learning is a plus.
Strong problem-solving skills with the ability to work independently and in cross-functional teams

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.