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

Apply Now

Junior Software Engineer (Intern)

Feebris
Broadgate
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Software Engineer - Python / AWS / MLOps

Lead Software Engineer - Python / AWS / MLOps

Junior Machine Learning Engineer (6 Months Fixed Term Contract)

Senior Computer Vision Engineer

Senior Data Engineer (AI & MLOps, AWS, Python)

Machine Learning Engineer

Role: Junior Software Engineer (Intern) Full-time: London UK head office / remote working (hybrid working) - 3 days a week in the office Duration: 3 months Competitive compensation (£35K - £44K per annum) Further employment: performance review in the last two weeks for a potential transition into a permanent position (visa sponsorship could be offered at this point) You’ll join our core software engineering team, designing and building tech that literally saves lives. You will work across mobile, web and cloud. You will build ground-breaking software that: deploys incredibly advanced Machine Learning models (developed by our ML team); captures data directly from the latest medical sensors; protects patients’ most sensitive data. You will work with an outstanding, truly multidisciplinary team to make this software accessible in the most remote communities for non-medical users. Our tech stack In the Feebris software engineering team we utilise the following technologies: Javascript for our backend and front-end code GraphQL for our API interface React/Redux for our doctor-facing web applications React Native/Redux and Android for our offline-first mobile application AWS for our cloud infrastructure (mostly based on RDS, S3 and serverless Lambda functions) Bluetooth LE for communicating with multiple medical devices Education Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience At least one year of experience in the Software Engineering industry Familiarity with Typescript, React and Node Familiarity with SQL databases and version control systems (Git) Required skills Eagerness to learn and adapt to new technologies and ways of working. Strong problem-solving skills and attention to detail. Excited by a challenge and eager to get out of your comfort zone. Ability to work collaboratively in a team environment, as well as independently on projects. Excellent communication in English, both written and verbal; effective ability to articulate complex ideas and technical concepts to non-technical stakeholders. Humble and self-motivated. Be a contributor to the design, development, and operation of the system. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in code reviews and provide feedback and new ideas. Identify and troubleshoot issues, debug code, and preropose innovative solutions to optimize software performance. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions. Take ownership of work, with ideas and recommendations being heard within a close, collaborative working environment. Coaching and personal development (bi-annual performance reviews) Central London Office Flexible working arrangements Impactful work, transforming healthcare for billions of people worldwide A mission-driven team, small but mighty and committed to making a difference Real responsibility, having a direct, meaningful impact on a high growth business Sponsored quarterly team and company socials Competitive Compensation Hybrid working – we would like you to be in the office at least 3 days a week to learn from context as much as possible Rockstar team - join our small team, all passionate about building something game-changing Massive growth opportunity - potential to quickly grow into the Software Engineer position based on performance Work directly with the team to influence product, roadmap, and tech strategy

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.