At a Glance
- Tasks: Lead the design and optimisation of algorithms in a fast-paced SaaS environment.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative team culture await you.
- Why this job: Make a real impact by solving complex problems with cutting-edge technology.
- Qualifications: Experience in algorithm design and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
I am hiring a Senior Algorithm Engineer to lead the design, optimisation, and scaling of core algorithmic and data solutions within a fast-paced SaaS environment operating across complex, high-volume datasets. This role sits at the intersection of engineering, data, and commercial problem-solving. You will work closely with domain specialists and cross-functional teams to translate real-world business requirements into scalable, production-grade forecasting, pricing, and optimisation solutions. This is a hands-on senior engineering role with strong technical leadership responsibilities. You will contribute to architectural decisions, improve engineering standards, and help shape how critical algorithms are designed, deployed, and maintained across the platform.
Responsibilities
- Design and deliver scalable algorithms for forecasting, pricing, and optimisation across large and complex datasets
- Lead technical direction for high-volume data processing systems, ensuring performance, explainability, reliability, and production readiness
- Work closely with Product, Data, and Delivery teams to translate business requirements into robust engineering solutions
- Support architectural decisions across distributed systems, workflows, and microservices
- Improve system robustness, performance, and scalability across models and processing pipelines
- Mentor engineers through code reviews, documentation, and technical collaboration, helping raise overall engineering standards
Requirements
- Proven experience designing, developing, and deploying algorithms or data models in production environments, particularly across forecasting, pricing, or optimisation use cases
- Strong Python engineering skills alongside modern data tooling such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark
- Experience building microservices and working within distributed system architectures
- Strong understanding of large-scale or high-frequency data environments such as IoT, sensor, weather, utility, or operational data
- Ability to make technical decisions, influence design direction, and work effectively across engineering and business teams
- Clear communication skills and experience mentoring or guiding other engineers
- Previous SaaS experience preferred; industry-specific domain knowledge is beneficial but not essential
Senior Engineer Electronics in England employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer Electronics in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to algorithms and data solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Engineer Electronics in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with algorithms and data solutions. We want to see how you've tackled similar challenges in the past, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. We love seeing your passion for engineering and how you can contribute to our team.
Showcase Your Technical Skills: Be specific about your technical skills, especially with Python and data tools. We’re looking for someone who can hit the ground running, so let us know how you’ve used these skills in real-world applications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Xcede
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithms, especially those related to forecasting, pricing, and optimisation. Be ready to discuss your past experiences designing and deploying these algorithms in production environments, as this will show your practical understanding of the role.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python engineering skills and familiarity with data tools like SQL, Pandas, and NumPy. You might be asked to solve a problem on the spot, so practice coding challenges that involve these technologies to showcase your expertise.
✨Understand the Business Context
Since this role involves translating business requirements into technical solutions, take some time to research the company and its industry. Be prepared to discuss how your technical decisions can impact business outcomes, showing that you can bridge the gap between engineering and commercial needs.
✨Be Ready to Mentor
As a senior engineer, you'll likely be expected to mentor others. Think about examples from your past where you've guided junior engineers or improved team standards. This will highlight your leadership skills and your ability to contribute to a collaborative team environment.