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

Apply Now

Python Developer

Axiom Software Solutions Limited
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist Python Software - London (IT) / Freelance

Data Scientist Python Software - London

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Junior Developer/Analyst, Data Science and Analytics - Macquarie Group

Software Developer (Machine Learning for ALS Diagnosis)

Strong proficiency in Python programming. • Comprehensive knowledge of AWS services and tools with handson experience in deploying applications on AWS. • Expertise in DevOps practices ensuring the development of maintainable and productionready web applications. The specific technologies we'll be using: • Gitlab pipelines for continuous integration and deployment. • Docker for containerization and application deployment. • Terraform for infrastructure provisioning and management. • AWS services including EC2 ECS Fargate Lambda SQS S3 and DynamoDB. While not essential our applications do have a UI component so experience with the following technologies would be beneficial: • Proficiency in React for building user interfaces. • Knowledge of Typescript for developing robust and scalable UI components. Experience Level: We are seeking candidates with an intermediate level of experience in cloud engineering specifically in deploying AI applications and working with AWS services. Tasks The contractors are expected to: 1. Work to move Abcam’s AI Tech Stack from v0.1 to v0.3 as defined by the roadmap. 2. Productionise 5 existing AI Applications. 3. Collaborate with and work under the guidance of the AI Engineers in the Data Science & AI team. 4. Attend any planning design and review meetings necessary. 5. Work in the Abcam office (Cambridge UK) two days in week 1 one day in week 2 then one day fortnightly. 6. Document their work in Confluence and track in Jira.

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.