Computer science msc Work, Jobs (with Salaries)

Application Developer
Royal London —London
- Azure
- Doctoral degree
- Computer Science
- Annual leave
Research Engineer Intern (Multimodal LLM)
Tether Operations Limited —Edinburgh
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Research Engineer
The Manufacturing Technology Centre —Coventry
- £50,000 - £60,000 a year
- Full-time
- Computer Science
- Master's degree
- Presentation skills
Quick apply
Statistician - Department of Applied Health Sciences - 107501 - Grade 7
University of Birmingham —Birmingham
- £36,636 - £48,822 a year
- Full-time
- Doctoral degree
- Master's degree
- SQL
- Annual leave
- Sick pay
Application Support Specialist
Royal London —London
- Azure
- Doctoral degree
- Computer Science
- Annual leave
Data Science and AI Trainer (Government)
QA Limited —Cheltenham
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Software Engineer, Trading Connectivity, London
Talos Global —London
- Full-time
- Computer Science
- Engineering
- No experience needed
- Annual leave
- Employee stock ownership plan
Machine Learning Engineer
PlayStation Global —London
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Senior Data Scientist
easyJet —Luton Airport
- Full-time
- Engineering
- Master's degree
- Presentation skills
- Annual leave
Lecturer (Teaching) in IoT & System Engineering
University College London —London
- £54,931 - £64,644 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Senior Full
Nesta —London
- £75,000 a year
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Annual leave
- Flexible schedule
13d
Robotics Learning Engineer
OpenSourced LTD —Bristol
- £27,405.83 - £95,355.29 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Free parking
Quick apply
Engineering Manager
Merchant Warehouse (NI) Ltd —Belfast
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
Principal Data & AI Trainer
QA —London
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
3d
Cybersecurity Engineer
Expleo —Belfast
- Master's degree
- Bachelor's degree
- IT
APPLICATION SOFTWARE ENGINEER
DIGICO —Chessington
- Full-time
- Microsoft Outlook
- Doctoral degree
- Master's degree
CHAI Research Fellow
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Computer Science
- University
- Annual leave
- Employee assistance programme
Graduate Managed Services Engineer
Smarter Grid Solutions —Glasgow
- Full-time
- Engineering
- Master's degree
- Analysis skills
Quick apply
Associate Director - IT and Digital Transformation
Principal Medical Limited —Bicester
- From £54,000 a year
- Part-time
- Computer Science
- Master's degree
- Bachelor's degree
- Bereavement leave
- Sick pay
Quick apply
4d
Assistant Professor in Mathematics
Heriot Watt University —Edinburgh
- £37,694 - £47,389 a year
- Full-time
- Doctoral degree
- Maths
- University
- Annual leave
- Flexible schedule
10d

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Application Developer

Royal London -
London

Apply Now

Job details

Permanent

Benefits

Annual leave
Company pension
Private medical insurance

Qualifications

Azure
Doctoral degree
Computer Science
PyTorch
Data structures
C#
NumPy
Git
Google Cloud Platform
Master's degree
xUnit
SQL
Pandas
OOP
AWS
Machine learning
REST
Software development
GitHub
APIs
Unit testing
AI
Python

Full job description

Job Description

Application Developer

Contract type: Permanent
Location: London

Roles: x 2
Working style: Hybrid 50% home/office based

We are seeking talented and motivated individuals to join our Development Team working in the AI Squad within the Development Team. This role is ideal for graduates or early‑career developers with strong programming fundamentals, a genuine enthusiasm for AI, and a curiosity to explore how AI can be applied to solve real‑world problems.

We’re particularly keen to hear from interested in candidates who demonstrate strong foundational engineering capabilities, alongside evidence of self-driven learning, experimentation, and intellectual curiosity. This may include internships, hackathons, personal or academic projects, or other practical experience that goes beyond academic coursework.

who have demonstrated their interest through internships, hackathons, personal or academic projects, or relevant coursework, and who show clear evidence of self‑learning and experimentation with modern technologies.

In this role, you’ll collaborate closely with experienced software engineers, data scientists, and data engineers to develop impactful solutions, tackle complex challenges, and support the delivery of AI initiatives across RLAM. You will be supported to learn and grow in a fast-moving, collaborative environment that values curiosity, adaptability, and continuous improvement.

You’ll be supported to learn, grow, and build your technical and professional skills in a fast‑moving, collaborative, and supportive environment where curiosity and innovation are encouraged.

About the role

Work on real RLAM software products — designing, building, and testing features while applying solid engineering practices, including object-oriented design, clean code principles, and structured application development

Build production-quality software, focusing on well-structured, maintainable applications and services

Design and integrate with external systems and services, developing an understanding of how modern applications interact and operate

Get hands-on with AI and Generative AI, exploring how these techniques can enhance and extend software solutions within real-world applications

Collaborate with engineers and data specialists to integrate AI into live systems, working across data pipelines, APIs, and cloud platforms
Develop an understanding of how AI solutions are built, evaluated, and monitored within production environments

Learn and apply principles of responsible AI, including fairness, explainability, and governance

Operate within agile delivery teams — contributing to sprint goals, breaking down work, documenting solutions, and sharing knowledge

Work effectively in iterative delivery environments, adapting to evolving technologies and requirements within a rapidly advancing AI landscape

Work on real RLAM software products — designing, developing, and testing features while learning solid engineering practices, APIs, and cloud‑based integration.

Get hands‑on with AI and Generative AI, from building models to experimenting with prompt engineering, fine‑tuning, safety alignment, and early agentic AI concepts.

Learn how to build responsible AI by applying fairness, explainability, and governance principles, and by monitoring models to make sure they stay accurate and robust.

Collaborate with experienced engineers and data specialists to integrate AI into live systems, helping with data preparation and understanding how cloud and platform services fit together.

Work in agile sprints, break down tasks, contribute to documentation, share knowledge, and keep building your skills as you stay up to date with the latest AI and ML developments.

About you

Qualification

A First-Class/2:1 degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related field

We encourage all students to apply, from recent graduates through to MSc/PhD

Technical Skills

Solid Strong foundation in software engineering, particularly object‑oriented programming (e.g. Python or C#), alongside an understanding of core software engineering concepts such as data structures, algorithms, and SOLID principles.

Demonstrable ability to build structured software applications (e.g. use of classes, modular design)

Strong grounding in core programming concepts, including data structures, algorithms, and software design principles (e.g. SOLID)

Confident working with SQL to query, manipulate, and analyse structured data, plus familiarity with REST APIs and OpenAPI standards for building and consuming modern services.

Exposure to data science and machine learning tools such as PyTorch, scikit‑learn, NumPy, Pandas, Matplotlib, Seaborn, XGBoost, or NLTK, with an interest in applying them to real‑world problems.

Growing understanding of modern AI approaches, including LLMs and Retrieval‑Augmented Generation (RAG), and how these models are designed, evaluated, and integrated into applications.

Experience (or willingness to learn) unit testing frameworks like PyTest, XUnit, or NUnit to ensure code quality and build good engineering habits early on.

Exposure to data science and machine learning tools such as PyTorch, scikit‑learn, NumPy, Pandas, Matplotlib, Seaborn, XGBoost, or NLTK, with an interest in applying them to real‑world problems.

Desirable

Prior internship or work experience in software development, Ddata sScience or AI

Experience with AI development tools and platforms (e.g., Azure, Snowflake, AWS, GCP)

Awareness Knowledge of CI/CD concepts

Exposure to emerging concepts such as Knowledge of Agentic AI

Exposure to Git/ and version control practices basics (branching, merging, conflict resolution)

Knowledge of CI/CD

Evidence of self-learning (projects, GitHub, coursework, hackathons)

About Royal London Asset Management

Royal London Asset Management (RLAM), part of the Royal London Group, is one of the UK's leading fund management companies working with a wide range of clients across the globe to achieve their investment goals. Our long-term, client-driven focus means that we have a long-standing commitment to responsible investment. We act as responsible stewards of our clients’ capital, exercising their rights and influencing positive change.

Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.

We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.

Inclusion, diversity and belonging

We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.

#AICareers

Apply Now

Refine Your Search

computer science msc jobs

Application Developer

Research Engineer Intern (Multimodal LLM)

Senior Research Engineer

Statistician - Department of Applied Health Sciences - 107501 - Grade 7

Application Support Specialist

Data Science and AI Trainer (Government)

Software Engineer, Trading Connectivity, London

Machine Learning Engineer

Senior Data Scientist

Lecturer (Teaching) in IoT & System Engineering

Senior Full

Robotics Learning Engineer

Engineering Manager

Principal Data & AI Trainer

Cybersecurity Engineer

APPLICATION SOFTWARE ENGINEER

CHAI Research Fellow

Graduate Managed Services Engineer

Associate Director - IT and Digital Transformation

Assistant Professor in Mathematics

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