National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist – predominantly remote working

Security Cleared Jobs
Central London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

We are seeking a skilled Data Scientist for a 12-month contract role, working remotely with occasional visits to the London office. The ideal candidate will have extensive experience in writing high-quality, production-grade Python code using a variety of libraries and frameworks, including Pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, OpenCV, and Pydantic. Proficiency in designing and implementing data workflows and models is essential, alongside the ability to contribute to scalable and efficient solutions.

The role requires strong expertise in database systems, particularly Oracle and PostgreSQL, with the ability to write and optimize SQL queries for extracting and manipulating data from relational data stores. Additionally, experience with AWS cloud technologies and its ecosystem is vital for this position, as the candidate will work on cloud-based data solutions and infrastructure. 

Key accountabilities:

  • Extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools. Interpret the data and present the results using clear and engaging language. 
  • Work closely with the business to identify issues and use data to propose solutions for effective decision making. 
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports. 


Experience:

  • Experience writing high quality production-grade Python code, using a range of libraries and frameworks: Pandas, numpy, scipy, scikit-learn, Tensorflow, PyTorch, OpenCV, Pydantic etc.
  • Experience with Oracle database and/or PostgreSQL. Being able to understand and write SQL queries to extract and manipulate data from existing and new relational (SQL) data stores is a key requirement.
  • Experience using AWS cloud technologies and ecosystem including: S3, lambda functions, AWSTextract, CodeCommit, Cloud9, SageMaker etc.
  • Proven experience in a range of AI and data science fields: data wrangling, data visualisation, natural language processing, computer vision, deep learning, and statistical inference.
     

SC highly desirable; candidates with active SC clearance will be fast-tracked.
Should you require reasonable adjustments at any point during the recruitment process or if there is a more accessible way for us to communicate, please do let us know.
If you consider yourself to have a disability or if you are a veteran, and you meet the essential criteria for the role, you will be put forward for the ‘Guaranteed Interview’ scheme whereby you will have the opportunity to discuss this role and your suitability with a member of the Sourcing team.
As an Equal Opportunities Employer, we provide the best talent and encourage all applications regardless of background, in line with our commitment to diversity, equality and inclusion.
 

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.