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

Apply Now

Data Scientist - Python

Ascent People
Oxford
2 days ago
Create job alert

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K
About the Role:
Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of competition.
This is a unique opportunity to work alongside Software and Platform Engineers, tackling complex technical challenges from design and manufacture through to live performance analysis. You'll be responsible for proposing, developing, implementing, and maintaining ML-based solutions while collaborating closely with engineering teams across the business.
Key Responsibilities:
Propose, develop, and deploy machine learning solutions for complex technical problems
Communicate with engineering teams to analyse challenges and develop solutions
Work autonomously to deliver results within tight schedules
Maintain and improve existing data science pipelines
Share knowledge and collaborate across the team
Essential Requirements:
BSc or MSc degree in a relevant field for Data Science
2+ years development experience in Python and machine learning techniques (production or laboratory)
Strong knowledge of Python data science packages: Pandas, numpy, scikit-learn, pytorch
Experience with Machine Learning techniques: Neural Networks, XGBoost
Understanding of pipelines and deployment technologies: Azure DevOps, Docker, GitHub Actions
Good understanding of architecture and design patterns
Excellent verbal and written communication skills
Strong troubleshooting and problem-solving abilities
Committed to deadlines and able to work in a fast-paced environment
Desirable Skills:
Programming experience in other relevant languages (e.g., Rust, C#)
End-to-end data science pipeline understanding
What We're Looking For: A team player with a positive "can do" attitude, passion for data investigation, and strong commitment to knowledge sharing. You'll thrive under pressure and see the direct impact of your work on real-world performance.
For a confidential conversation about this extraordinary opportunity, call me directly on 0-7-7-9-1-6-1-5-7-0-3

No sponsorship on offer here, must have full UK working rights and also drive.
Ascent People is acting as an Employment Agency for this role.

TPBN1_UKTJ

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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 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.

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.

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.