Computer Science jobs in United Kingdom
Lead Software Engineer - Agentic AI/Machine Learning
J.P. MORGAN
Graduate Software Engineer X 4
Adria Solutions Ltd.
AI Engineer / Machine Learning Engineer
SmartAssets
Enterprise Business Analyst Bioinformatics
Syngenta Group
Discover more opportunities than anywhere else. Find more jobs nowPostdoctoral Research Associate in Structure Determination for Materials Discovery
People Scout
Security Engineer, Detection & Response
Anthropic
Connect with headhunters to apply for similar jobsSenior Quantitative Analyst, Data Science - NESO
National Grid
AI Engineer - FDE (Forward Deployed Engineer)
Menlo Ventures
Lecturer / Senior Lecturer in Computer Games Development
Manchester Metropolitan University
Software Engineer, Accelerator Systems
Anthropic
Graduate Software Engineer X 4
Job summary
A fast‑growing research and technology company near Cambridge is seeking a Graduate R&D Software Engineer. This entry-level role offers exposure to the full product development lifecycle, allowing you to design innovative software solutions and contribute to impactful R&D projects. Ideal candidates are recent STEM graduates with strong programming skills and an analytical mindset. You will work onsite in a dynamic environment and have the opportunity to collaborate closely with engineering and research teams.
Benefits
Qualifications
- Recent graduate with a degree in Computer Science, Engineering, Physics, or Mathematics.
- Strong experience in at least one programming language.
- Ability to learn across varied technical domains.
Responsibilities
- Design and develop innovative software solutions.
- Build tools for data gathering and optimization.
- Maintain operational company systems.
- Contribute to R&D, software, and data science tasks.
Skills
Education
Tools
My client is a fast‑growing research and technology company near Cambridge, seeking a Graduate R&D Software Engineer to support a broad range of research and development activities. This is an exciting entry‑level opportunity for a motivated early‑career engineer who enjoys variety, problem‑solving, and working in a fast‑paced, hands‑on environment.
- Design and develop innovative software solutions in collaboration with the engineering team
- Build tools and methods for data gathering, preprocessing, and optimisation for machine learning and algorithm development
- Oversee and maintain operational company systems (Linux‑based)
- Contribute across a broad mix of R&D, software, data science, and technical problem‑solving tasks
- Highly motivated, adaptable, and eager to learn across varied technical domains
- Recent 2:1 (or above) graduate in a STEM discipline (e.g., Computer Science, Engineering, Physics, Mathematics)
- Strong experience in at least one programming language (e.g., Python, Java, C++)
- Analytical mindset with strong problem‑solving skills and attention to detail
- Experience with Python and familiarity with data science or machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Interest or experience in signals, RF, or SDRs
- Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud)
- Academic or project experience in ML, data science, or digital signal processing
- Enthusiasm for working in a startup environment and taking ownership of initiatives
- Entry‑level role with exposure to the full product development lifecycle
- Opportunity to work with cutting‑edge technology in a collaborative, dynamic R&D environment
- Hands‑on experience in software, data, and algorithm development within a scaling technology company
- Work onsite near Cambridge with close collaboration across engineering, research, and product teams
- Chance to contribute to impactful projects and take ownership of initiatives
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.