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- Tasks: Design and optimise algorithms for forecasting, pricing, and data solutions in a fast-paced SaaS environment.
- Company: Join a dynamic team at the forefront of algorithm engineering.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a chance to shape engineering standards.
- Why this job: Lead innovative projects and make a real impact on complex datasets.
- Qualifications: Experience in algorithm design, strong Python skills, and a collaborative mindset.
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 Algorithm Engineer in England employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Algorithm Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior Algorithm Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your algorithm designs and data solutions. This is your chance to demonstrate your hands-on experience and technical leadership abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex datasets and optimised algorithms in the past. We want to see your thought process in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Algorithm Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Algorithm Engineer role. Highlight your experience with algorithms, data models, and any relevant SaaS projects. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects where you've designed or optimised algorithms. We love seeing real-world applications of your work, especially if they involve high-volume datasets or forecasting solutions.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how your experience can help us tackle complex problems. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 specific examples from your past work where you designed or deployed algorithms in production environments.
✨Showcase Your Technical Skills
Make sure to highlight your Python engineering skills and familiarity with data tools like SQL, Pandas, and PySpark. Prepare to demonstrate how you've used these tools to solve complex problems in high-volume datasets.
✨Understand the Business Context
Since this role involves translating business requirements into technical solutions, be prepared to discuss how you've collaborated with cross-functional teams in the past. Think of examples where your technical decisions positively impacted business outcomes.
✨Be Ready to Mentor
As a senior engineer, you'll be expected to guide others. Prepare to talk about your mentoring experiences, including how you've conducted code reviews or helped raise engineering standards within your team.