Data Scientist

FryerMiles
Cambridgeshire
3 days ago
Create job alert
Data Scientist – DV Cleared - £600 per day – Cambridgeshire – 6 month rolling contract

FryerMiles are delighted to be working with an exciting SME Consultancy to assist with their recruitment of a DV cleared Data Scientist to work on a 6 month rolling contract (long term opportunity)


The successful candidate will support the development, optimisation, and sustainment of advanced AI and machine learning solutions in a defence environment. You will work on mission critical capabilities, helping deliver data driven insights, improve operational effectiveness, and support secure, reliable decision‑making.


Key responsibilities
  • Develop, maintain, and improve machine learning models for operational use. Support the deployment and optimisation of AI solutions in production. Build scalable data pipelines and workflows to support model performance. Work with engineers, analysts, and stakeholders to develop new features and use cases. Ensure solutions meet security, regulatory, and ethical standards. Contribute to resilient, maintainable, and high performing AI systems.

Essential skills
  • Strong Python programming skills. Experience building and deploying machine learning models. Knowledge of MLOps tools such as MLflow, Airflow, Docker, and Kubernetes. Experience with CI/CD tools such as GitLab or Jenkins. Understanding of Data Engineering, ETL, and scalable system design. Ability to work effectively in secure, complex, and regulated environments. Must hold valid DV Clearance

Desirable skills
  • Experience in computer vision or imagery analysis. Familiarity with defence, national security, or government programmes. Understanding of responsible AI and secure system delivery.

This is an excellent opportunity to apply data science to high impact defence challenges and help deliver innovative, secure, and operationally effective AI capabilities.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Supply Chain Optimisation

Data Scientist - UKIC DV Clearance Required

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.