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- Tasks: Design and improve algorithms for forecasting, pricing, and optimisation in a fast-paced SaaS environment.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Remote work, hands-on experience, and opportunities for technical growth.
- Other info: Great chance to learn from senior engineers and enhance your career.
- Why this job: Make an impact by solving real-world problems with cutting-edge technology.
- Qualifications: Experience with algorithms, strong Python skills, and a collaborative mindset.
The predicted salary is between 50000 - 70000 £ per year.
We are hiring an Algorithm Engineer to help design, build, and improve core algorithmic and data solutions within a fast-paced SaaS environment working across complex, high-volume datasets. You will work closely with domain specialists and experienced engineers to turn business logic into reliable software solutions across forecasting, pricing, and optimisation problems. This is a hands-on engineering role with strong exposure to real production systems and excellent opportunity for technical growth. You will collaborate across Product, Data, and Delivery teams, contributing to both day-to-day engineering delivery and the continuous improvement of platform performance and scalability.
Responsibilities
- Build and improve scalable algorithms for forecasting, pricing, and optimisation across large and complex datasets
- Contribute to design discussions around high-volume data processing, helping ensure reliability, explainability, and production readiness
- Work closely with Product, Data, and Delivery teams to translate business requirements into practical engineering solutions
- Improve the robustness, scalability, and performance of models, workflows, and distributed systems
- Contribute reusable components and help raise engineering quality through code reviews, collaboration, and continuous improvement
- Learn from senior engineers through pairing, reviews, and knowledge sharing while gradually taking on greater ownership
Requirements
- Hands-on experience designing, developing, or deploying algorithms or data models across forecasting, pricing, optimisation, or similar analytical problem spaces
- Solid Python skills and working knowledge of modern data tools such as SQL, Pandas, Polars, DuckDB, NumPy, or SciPy
- Exposure to Dask, PySpark, distributed systems, or microservices is beneficial but not essential
- Interest in working with large-scale or high-frequency datasets such as IoT, sensor, weather, utility, or operational data
- Strong problem-solving mindset with good communication and collaboration skills
- Ability to work well in cross-functional teams, ask the right questions, and communicate progress clearly
- Previous SaaS experience is helpful; industry-specific domain knowledge is a plus but not required
Algorithm Engineer in England employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithm Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle real-world problems, so think aloud!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Algorithm Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with algorithms and data models, especially in forecasting and optimisation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Algorithm Engineer position and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the role.
Showcase Your Technical Skills: Don’t forget to mention your Python prowess and any experience with data tools like SQL or Pandas. We’re looking for hands-on experience, so include specific examples of how you’ve used these skills in past projects.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Xcede
✨Know Your Algorithms
Brush up on your knowledge of algorithms, especially those related to forecasting, pricing, and optimisation. Be ready to discuss your hands-on experience with designing and deploying these algorithms, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Python Skills
Since solid Python skills are a must, prepare to demonstrate your proficiency. Bring examples of projects where you've used Python alongside data tools like SQL or Pandas. If you can, share snippets of code that highlight your problem-solving abilities.
✨Collaborate and Communicate
This role requires working closely with cross-functional teams, so be prepared to discuss how you've successfully collaborated in the past. Think of specific instances where your communication skills helped bridge gaps between technical and non-technical team members.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to algorithm design and data processing. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.