x 10 Senior Data Scientists/Data Engineers Needed (multiple Roles) - DV/SC Cleared

Areti Group | B Corp
London
3 months ago
Applications closed

Related Jobs

View all jobs

Junior Cloud Data Engineer

Data Analyst

Data Analyst

Azure Data Engineer

2 x Data Analyst - Local Authority

Data Scientist Manager

Areti is seeking x10 Senior Data Scientists/Data Engineers (Palantir, Python, Data Science) to work for a series A Funded tech start-up business based in the London area a very quick start.


YOU MUST BE DV OR SC CLEARED


You will be working on a number of large Defence and Government projects and be given the opportunity to lead a number of high-profile programs.


The Data Scientists will apply their technical skillsets and knowledge to solve exciting real-world problems in a small and dynamic company.


You will work as part of a dynamic and close-knit team building new and proprietary approaches to solving multiple problems across the industry. The ideal candidates will have a skillset to include the following:

  • Experience in working as a Data Scientist/Data Engineer
  • A understand of Palantir would be a huge +
  • Experience of completing projects to deadline.
  • Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch
  • Deploying ML models
  • Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib
  • Relation database experience with data manipulation skills in SQL and large “Big Data” environments.
  • Command knowledge in Python and API Development
  • Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS)
  • CI/CD practices
  • NoSQL Databases


Candidates must have security clearance - Ideally DV



My client has just received a huge investment and is now in the position where they are looking to scale and expand their Data team.


My client is interviewing this week so get in contact today to avoid disappointment.


Areti Group – Carbon positive tech recruitment | 🌳🌳🌳 | We’re on a mission to put people and the planet before profit, leaving the world in a better place than we found it.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.