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

Apply Now

Full Stack Engineer

ARM
Haverhill
11 months ago
Applications closed

Related Jobs

View all jobs

Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment

Machine Learning Manager, London

Machine Learning Engineer, Enterprise

Senior Computer Vision Engineer

Full Stack Data Scientist

Senior Full-Stack Data Scientist

The Enterprise Data & Insights team is responsible for a suite of internal custom business applications. Fundamentally, we enable crucial insights for business decision making. Operating at the crossroads of DevOps, software engineering and data engineering, we design, develop and maintain systems which enable sophisticated analytics and Machine Learning for Arm's leaders. We care about technology, and use innovative solutions to resolve complex problems.

 

As a software engineer, you will be working with team members to ensure that our business applications continue to grow and evolve. You will maintain the existing stack (Python - Django – Postgres – REST APIs – Angular), while making sure our CI/CD pipelines (Azure DevOps, Terraform) and dataflow performs adequately. Working with users & team members you will identify, implement and test new product features. With our current infrastructure hosted on AWS (EKS, EC2), you will contribute to the team effort to improve operational efficiency. A key aspect of the role will be to explore new opportunities and tools as our infrastructure and internal processes reach a new level of maturity. You will grow with the position, working closely within a team of expert peers in a growing team.

Requirements of role

  • Bachelor's Degree in Computer Science, Computer Engineering or and/or experience in software engineering.
  • Phenomenal teammate, willing to collaborate with and support others in the team.
  • Experienced in software development with Python, especially Web development using Django
  • Passion for new skills, with good interpersonal, written, and verbal communication skills
  • Embraces diversity and inclusion in workplace, open to different ideas and cultures

"Nice to have" skills and experience:

  • A Masters or PhD within relevant fields such as computer science, computer engineering or equivalent
  • Knowledge and passion for automating processes and dataflows
  • Curiosity on Finance and related topics
  • Experience with CI/CD within a software engineering project
  • Experience in technologies such as: Web APIs and microservices, containers (Docker, Kubernetes), cloud platforms (ideally AWS + Terraform), Python Celery, Django REST Framework, Pandas

In Return:

Arm is at the heart of the world's most advanced digital products.

Our technology enables the generation of new markets and transformation of industries and society. We design scalable, energy efficient-processors and related technologies.

Our innovative technology is licensed by Arm Partners who have shipped more than 50 billion Systems on Chip containing our intellectual property. Together with our Connected Community, we are breaking down barriers to innovation for developers, designers and engineers, ensuring a fast, reliable route to market for leading electronics companies. With offices around the world, Arm is a diverse organisation of dedicated, creative and highly hardworking people.

 

#LI-SM1




Accommodations at Arm

At Arm, we want our people toDo Great Things. If you need support or an accommodation toBe Your Brilliant Selfduring the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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.