Python Engineer / Data Scientist

Bath

9 months ago

Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

AI Engineer / Data Scientist - Production ML & OCR

ML Engineer / Data Scientist

Production AI Engineer & Data Scientist — Contract

ML Engineer / Data Scientist, Applied AI

Data Scientist/AI Engineer

Python Engineer / Data Scientist | 9 Month Contract | Bath, UK | £450pd Outside IR35

Python Engineer / Data Scientist
My client is currently hiring a Python Engineer / Data Scientist for an exciting project that will be running until the end of the year. You will be working within a Geospatial team of Developers and Data Scientists with a strong focus on the Python Engineering side for you. You will be working with Big Data and building the flows along with working on the infrastructure side too, so an overall Python generalist is ideal for this role. The role falls outside IR35 and can pay up to £450pd, with 1 to 2 days on-site a week in Bath, the hybrid model is flexible for the right skill set.

You need to be experienced in the following

Python
Python Frameworks (NumPy, Django, etc)
AWS (Lambda, AWS integrations etc)
Metaflow & PrefectWhat you need to do now
If you feel like this Python Engineer / Data Scientist contract is a good fit for you, and you would like to know more, please send your latest CV to Ash . Fellows @ Opusrs . com or apply directly here.

Python Engineer / Data Scientist | 9 Month Contract | Bath, UK | £450pd Outside IR35

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Jan 5, 2026

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.