Software Developer (C++/Python)

Birmingham
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist — Real-Time Network AI & DevOps

Graduate Data Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Software Developer (C++/Python)

Engineius’ goal is simple: to make vehicle movement easy. We are on our way to creating the leading end-to-end movement solution in the UK for our customers (such as Hertz and The AA), delivered by our network of 600+ drivers and transport agents across the UK.

Since going live in April 2018, we have acquired over 80 clients, many of whom can claim to be amongst the largest players in the UK automotive industry. We are already one of the largest competitors in our space but have ambitions to grow much further, and we are crazy about sustainability. To date we have saved fleets over 3,000,000 tonnes of CO2.

We are seeing our hard work paying off as we have won seven awards, including Best Fleet Software three years in a row, a highly commended wellbeing award, two innovation awards, and one outstanding product of the year award.

Key Responsibilities:

Optimise and scale existing C++ code for better memory utilisation and computational efficiency.
Write efficient, high-performance C++ code to support logistics automation.
Use Python to develop new features and enhancements for our logistics systems.
Maintain and refactor a production codebase, ensuring reliability and scalability.
Collaborate with our data scientist to refine and optimise automation solutions.
Troubleshoot and resolve performance bottlenecks in a production environment.
Participate in code reviews and architectural discussions to maintain high coding standards.

Skills and experience are we looking for

Requirements:

Relevant experience working as a software developer.
Proficiency in modern C++, with a strong focus on parallelisation and performance optimisation.
Experience with Python, particularly machine learning and data processing libraries.
Understanding of Python optimisation techniques, such as multiprocessing and JIT compilation.
Experience maintaining a production codebase, with a focus on stability and efficiency.
Strong problem-solving skills and the ability to debug complex systems.

Nice-to-Have Skills:

Experience with low-level programming, particularly writing CUDA kernels and using SIMD intrinsics.
Experience with a C++ parallelisation framework, such as OpenMP.
Familiarity with cloud computing (AWS, GCP, Azure) or containerisation (Docker, Kubernetes).
Understanding of routing, scheduling, or logistics algorithms.

What’s in it for you

Grow with us

You will be part of a growing and ambitious company! We want you to be happy and enjoy coming to work where you are surrounded by a supportive team.

In the heart of Birmingham

We are based in Birmingham city centre at Somerset House, only a 5-minute walk from Grand Central train station. In summer you can enjoy the rooftop terrace and views of the city!

Socials and more!

Social events and activities are held in the building once a month. We have quarterly company socials which in the past have been rooftop quiz nights, mini golf and a meal at Fazenda.

Fitness and wellbeing

Your wellbeing and health matters to us. In the building there is a gym and showers that you can use before, during or after work. If you like golf, you can enjoy practising on the golf simulator too.

Time to relax

Well-deserved time off - you will get 25 days off a year plus bank holidays. You will also get an additional day with every completed year of service up to a maximum of 30 days per annum.

Learning & Development

We’re passionate about your growth! We are always exploring new and exciting ways to elevate your skills and expand your potential through dynamic training opportunities.

Exclusive Benefits Platform

Unlock a world of perks! Our benefits platform gives you access to amazing discounts, exciting rewards, and valuable resources to support your physical, mental, and financial wellbeing because we believe in taking care of YOU.

Join Us

If you want to be part of a forward-thinking, sustainable company and you embrace positivity, we would love to hear from you! Apply now and you will be redirected to our careers site to complete your application

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.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.