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- Tasks: Design and optimise algorithms for forecasting and pricing in a fast-paced SaaS environment.
- Company: Join a dynamic team leading the way in algorithmic solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative 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 Training Engineer in England employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Training 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. 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 Training 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!
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. Share specific examples of your past work that relate to designing and optimising algorithms in high-volume datasets.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python and modern data tooling. We’re looking for someone who can hit the ground running, so make sure we see your expertise front and centre!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
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.
✨Showcase Your Technical Skills
Prepare to demonstrate your strong 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 reflect the job requirements.
✨Understand the Business Context
Since this role involves translating business requirements into technical solutions, do your homework on the company’s products and services. Think about how your technical expertise can directly impact their business goals.
✨Be Ready to Lead
As a senior engineer, you'll need to show your leadership capabilities. Prepare examples of how you've mentored other engineers or made architectural decisions in previous roles. Highlight your ability to communicate effectively across teams.