Software Engineer - AI/Machine Learning in Manchester

Software Engineer - AI/Machine Learning in Manchester

Manchester Part-Time 34000 - 60000 £ / year (est.) No working from home possible
Hamiltonian Dynamics

At a Glance

  • Tasks: Design and develop secure software for Defence and Cyber Security projects.
  • Company: Hamiltonian Dynamics, a growing tech company with a focus on innovation.
  • Benefits: Competitive salary, flexible working, health cover, and generous leave options.
  • Other info: Supportive environment with tailored training and career development plans.
  • Why this job: Join a dynamic team and work on impactful projects that matter.
  • Qualifications: Experience in software development; curiosity and willingness to learn are key.

The predicted salary is between 34000 - 60000 £ per year.

Hamiltonian Dynamics is a growing technology company working across Defence and Cyber Security, delivering software solutions that support critical national and enterprise systems. With teams based in Gloucestershire, Manchester, and London, we are entering an exciting new phase of expansion and are looking for Software Engineers to join us. This role offers the opportunity to work on meaningful, technically challenging projects while continuing to grow your skills in a supportive, flexible environment.

Requirements

As a Software Engineer at Hamiltonian Dynamics, you will design, build, and maintain secure, scalable software used by high-assurance customers. You’ll work across the full software development lifecycle, collaborating closely with engineers, architects, and stakeholders to deliver robust solutions. We’re open to engineers with different backgrounds and levels of experience - what matters most is strong engineering fundamentals, curiosity, and a willingness to learn.

What You’ll Do

  • Design, develop, test, and maintain high-quality software systems
  • Contribute to architectural decisions and technical direction
  • Collaborate within agile teams to deliver secure and reliable solutions
  • Work with modern cloud and containerised environments
  • Share knowledge, review code, and support continuous improvement

Skills & Experience

You will have experience in one or more of the following areas but you do not need experience in everything listed:

  • Java, Python, JavaScript, TypeScript
  • Angular, React, Vue
  • Docker, Kubernetes
  • AWS and/or Azure
  • MERN stack
  • Elasticsearch, Neo4J

We value engineers who are open-minded, adaptable, and keen to learn new technologies as project needs evolve.

Security & Location

You must be a UK citizen and have lived in the UK for the past 10 years. You must already hold high-level UK security clearance. Customer sites are based in Gloucestershire, Manchester, and London, so you must be willing to travel to one of these locations.

Benefits

  • Salary band: £40,000-75,000, depending on experience (we may consider more junior or more senior outside this range for the right candidate)
  • 10% clearance bonus
  • 25 days annual leave plus bank holidays
  • Buy or sell up to 5 days leave per year
  • 8% employer pension contribution
  • BUPA health cover
  • Life cover of 4× salary
  • EV car scheme via salary sacrifice
  • EMI share scheme
  • Flexible working and flexi-time
  • 10 days per year training allowance

Every employee has an individual training and career development plan. We recognise that everyone learns differently and we actively support long-term growth.

Our Process

We keep things straightforward and human:

  • A 30-minute introductory chat with our recruiter, Sarah
  • A 1-hour Microsoft Teams interview or on-site interview with two members of the team
  • An informal conversation with two of our Founders

We believe open, organic conversations are the best way for both sides to decide if the role is the right fit.

Software Engineer - AI/Machine Learning in Manchester employer: Hamiltonian Dynamics

Hamiltonian Dynamics is an exceptional employer, offering Software Engineers the chance to work on impactful projects within Defence and Cyber Security. With a strong emphasis on employee growth, flexible working arrangements, and a supportive culture, team members are encouraged to develop their skills through tailored training plans and collaborative environments. Located in key UK cities like Gloucestershire, Manchester, and London, employees benefit from competitive salaries, generous leave policies, and a commitment to work-life balance.

Hamiltonian Dynamics

Contact Details:

Hamiltonian Dynamics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - AI/Machine Learning in Manchester

Join Local Coding Meetups

Get involved in local coding meetups or tech events. These gatherings are perfect for networking with other software engineers, showcasing your skills, and even getting a chance to meet potential employers face-to-face. Plus, it's a great way to learn about part-time opportunities that might not be widely advertised.

Contribute to Open Source Projects

Dive into some open-source projects on platforms like GitHub. This not only enhances your coding skills but also builds a solid portfolio that shows potential employers your real-world experience. Open-source contributions can lead directly to job offers since many companies scout talent in the community.

Utilise University Career Services

If you're in or near university, make the most of those career services! They often have connections with local tech companies looking for part-time developers and can provide valuable resources for finding job leads or prep for interviews.

Showcase Your Work

Build a personal website or portfolio that highlights your projects, skills, and any relevant experience. It’s a fantastic way to stand out and we encourage you to link to it in your applications. Don't forget: you can easily apply for part-time roles through our website at Hamiltonian Dynamics—just remember to include that link!

We think you need these skills to ace Software Engineer - AI/Machine Learning in Manchester

Java
Python
JavaScript
TypeScript
Angular
React
Vue

Some tips for your application 🫡

Highlight Your Coding Skills:Make sure to prominently feature your coding skills in your CV. List the programming languages and technologies you're comfortable with, as well as any relevant projects you've worked on. Don’t forget to link to your GitHub profile or any other coding platform where you showcase your work – it's a great way for us at Hamiltonian Dynamics to see your skills in action!

Show Off Your Problem-Solving Skills:As a part-time software developer, problem-solving is key. In your application, try to include examples of how you've tackled tough coding challenges or bugs. If you can quantify your achievements, even better! This not only shows your technical prowess but also your ability to think critically and creatively.

Tailor Your CV for Part-Time Work:For a part-time role, it’s essential to show that you’re flexible and can manage your time well. Within your CV, highlight any previous experience balancing multiple commitments or projects. It’ll reassure us that you can juggle responsibilities without compromising on quality.

Craft Your Cover Letter with Passion:Your cover letter is your chance to show us your enthusiasm for software development. Share why you're excited about joining Hamiltonian Dynamics specifically, and what you hope to gain from this part-time role. Your motivation and eagerness to learn can really set you apart from the crowd!

How to prepare for a job interview at Hamiltonian Dynamics

Show Off Your Code

Make sure to prepare a few coding samples or projects to share during your interview for the part-time software engineering position at Hamiltonian Dynamics. Potential employers love to see tangible evidence of your skills, so having a well-organised GitHub profile or portfolio can really make you stand out.

Brush Up on Problem Solving

Expect a few technical questions or coding challenges that assess your problem-solving abilities. Companies like Hamiltonian Dynamics often want to see how you think through a problem, so practise common algorithms and data structures to showcase your thought process and technical know-how.

Know Your Tools

Familiarise yourself with the specific programming languages and tools relevant to the role. If the job listing mentions languages like Python or JavaScript, make sure you can discuss your experience with them confidently. Knowing frameworks and libraries they use can give you an edge.

Highlight Your Flexibility

Since this is a part-time position, be ready to discuss how you can manage your time effectively and fit the role around your other commitments. Being able to demonstrate your adaptability and proactivity shows that you can balance work, study, or other responsibilities without dropping the ball for Hamiltonian Dynamics.