Algorithm Engineer in Cheadle Hulme

Algorithm Engineer in Cheadle Hulme

Cheadle Hulme Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Transform complex mathematical models into efficient software solutions using C++ and Linux.
  • Company: Join Expleo, a leader in engineering and digital transformation.
  • Benefits: Enjoy a collaborative environment, competitive benefits, and access to accredited training courses.
  • Other info: Opportunities for career growth and mentoring in a supportive team.
  • Why this job: Make a real impact by working on innovative projects that shape the future of technology.
  • Qualifications: Degree in STEM or significant experience in software engineering required.

The predicted salary is between 63000 - 77000 £ per year.

Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe. We are currently seeking highly skilled Algorithm Engineers to join our software engineering team in Cheadle. This senior-level role will translate mathematical and signal-processing models into efficient, reliable and maintainable software for complex, high-integrity systems.

You will combine deep C++ expertise with strong computational mathematics, model-driven development and Linux delivery experience, integrating both auto-generated and hand-written code into robust software solutions.

Responsibilities

  • Analyse mathematical, signal-processing and system models, clarify assumptions and translate them into clear software requirements and implementation plans.
  • Design, implement and optimise production-quality algorithms in modern C++, with appropriate use of Java, Python and scripting where required.
  • Accurately convert theoretical models into deterministic, testable and maintainable code while preserving numerical behaviour, performance and traceability to the source model.
  • Integrate auto-generated and hand-written code within model-driven development workflows, including the use and maintenance of UML-based software models.
  • Develop, deploy, debug and support software on Linux targets, investigating complex defects across application, operating-system, networking and integration boundaries.
  • Contribute to software architecture and detailed design for large-scale or distributed systems, and lead technical reviews with architects and engineering teams.
  • Build automated unit, integration and regression tests; compare implementation outputs against reference models and representative datasets; and maintain objective evidence of correctness.
  • Apply clean-code, high-integrity development and secure engineering practices, including peer review, static analysis, configuration management and disciplined defect resolution.
  • Develop and maintain repeatable build and continuous-integration pipelines using tools such as Jenkins or Git runners, with Git/Bitbucket and artefact-management tooling.
  • Work effectively within Agile delivery teams, collaborating with systems, software, safety, test and customer stakeholders while contributing to planning, estimation, risk management, technical documentation and system acceptance.

Qualifications

  • Degree qualified in Computer Science, Software Engineering, Mathematics, Physics, Electronic Engineering or a related STEM discipline. Applications are also welcomed from individuals with significant demonstrable experience who do not hold formal qualifications.

Essential skills

  • Expert-level C++ development skills and a strong command of software engineering fundamentals.
  • Strong computational mathematics and signal-processing knowledge, with the ability to understand theoretical models and implement them accurately in software.
  • Demonstrable model-driven development experience, including UML modelling and the integration of autogenerated and hand-written code.
  • Expertise in developing, deploying and debugging software for Linux-based targets, supported by practical shell/Bash or Python scripting skills.
  • Proficiency in software architecture and the design of large-scale or distributed software systems.
  • Working knowledge of Java and Python, plus broad awareness of software languages, frameworks and engineering toolsets.
  • Working knowledge of container technologies such as Docker, Kubernetes or Podman, advanced TCP/IP networking concepts and virtualised development environments.
  • Knowledge of GPU programming concepts or GPU-specific languages for computational workloads.
  • Sound application of software best practice, including clean coding, unit testing, peer review and static analysis.
  • Understanding of Agile methods such as Scrum, Kanban or SAFe, together with the discipline to work within defined software development processes.
  • Strong written and verbal communication, collaborative teamworking, a proactive self-starting approach and the ability to learn with limited coaching.
  • Technical leadership skills and the ability to build relationships across software teams, architects and wider engineering stakeholders.
  • Aware of high-integrity, safety-critical or safety-related software.
  • Working with build automation, source control and artefact repositories, including Jenkins or Git runners, Git/Bitbucket and Artifactory or comparable platforms.
  • Delivering software within Agile teams while operating to formal engineering plans, governance, security and configuration-control expectations.
  • Mentoring engineers, reviewing designs and code, improving team practices, and providing credible technical guidance to architects, project leaders and customer stakeholders.
  • Applying relevant experience of distributed systems, TCP/IP networking, containers, GPU acceleration, safety-related development or defence programmes where these support the solution.

Desired skills

  • End-to-end delivery of complex software from requirements and mathematical definition through design, implementation, integration, verification and release.
  • Translating research, simulation or engineering models into performant production C++ for Linux, with careful management of numerical accuracy, latency, throughput, memory and target constraints.
  • Integrating model-generated components with hand-crafted software and resolving behavioural differences between model, desktop and target environments.
  • Leading technical decisions, architecture and detailed design; communicating trade-offs; and creating documentation that supports review, assurance and long-term maintenance.
  • Designing effective automated test strategies using reference data, boundary cases and regression suites, and diagnosing failures across complex software and system interfaces.
  • Using static analysis, coding standards, code review, configuration management and continuous integration to sustain high-quality baselines in multi-developer programmes.

Experience

  • Previous experience in the defence sector or another regulated, high-integrity engineering environment.
  • Experience using MATLAB and Simulink for model development, simulation, code generation or validation.
  • Practical experience of virtualisation technologies and virtualised development or test environments.
  • Aware of requirements-management tools and practices, including IBM DOORS or Polarion.
  • Experience establishing and using automated software build pipelines with Jenkins, Git runners or equivalent tooling.
  • Experience with development and configuration-management tools such as Git, Bitbucket, JIRA, Jenkins and Artifactory.

What do I need before I apply

  • Right to work in the UK.
  • Eligible to obtain and maintain UK Security Clearance (SC).
  • Ability to satisfy customer security and export control requirements.
  • Willingness to travel occasionally to customer and partner locations.

Benefits

  • Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges.
  • We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects.
  • Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses.
  • Competitive company benefits.
  • Always working as one team, our people are not afraid to think big and challenge the status quo.

As a Disability Confident Committed Employer we have committed to:

  • Ensure our recruitment process is inclusive and accessible.
  • Communicating and promoting vacancies.
  • Offering an interview to disabled people who meet the minimum criteria for the job.
  • Anticipating and providing reasonable adjustments as required.
  • Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

Algorithm Engineer in Cheadle Hulme employer: Expleo

As a leader in Quality Engineering, we offer an inspiring and collaborative work environment where innovation thrives. Our commitment to employee growth is evident through the Expleo Academy, providing accredited training courses that empower our team to expand their skills and take on exciting projects. Located in a vibrant area, we foster a culture of inclusivity and support, ensuring that every individual can contribute meaningfully while challenging the status quo.

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Contact Details:

Expleo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Algorithm Engineer in Cheadle Hulme

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Expleo or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Expleo.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Expleo.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Expleo that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Algorithm Engineer in Cheadle Hulme

C++ Development
Computational Mathematics
Signal Processing
Model-Driven Development
UML Modelling
Linux Software Development
Shell/Bash Scripting

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Expleo.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Expleo and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Expleo

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Expleo uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.