At a Glance
- Tasks: Lead the architecture and strategy for AI-driven predictive intelligence services.
- Company: Join Anaplan, a leader in AI-infused business decision-making.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for growth.
- Other info: Diverse and inclusive environment that values your unique contributions.
- Why this job: Make a real impact with cutting-edge technology and innovative projects.
- Qualifications: Strong experience in software engineering and expertise in Python and ML services.
The predicted salary is between 63000 - 77000 £ per year.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50.
Coca-Cola, Linked In, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in‑class platform.
Our Winning Culture is the engine that drives our teams of innovators.
We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins – big and small.
Supported by operating principles of being strategy‑led, values‑based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here.
Everything that makes you unique is welcome; join us and let’s build what’s next - together!
You will join the Predictive Intelligence engineering team within Anaplan, the group responsible for the Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions.
The team builds and operates the ML platform, forecasting engines, and data processing services that deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond.
This role reports to the Director of Engineering for Predictive Intelligence and serves as the senior technical leader across the predictive intelligence pillar.
- Your Impact
- Own the overall architecture and technical strategy for Anaplan’s predictive intelligence services across multiple verticalised solutions.
- Drive a unified architectural approach across disparate intelligence services, reducing duplication and establishing shared platform primitives for forecasting, model serving, and data processing.
- Provide hands‑on design and implementation leadership for major features and platform initiatives, including writing and reviewing critical‑path code where the work demands it.
- Define and oversee the MLOps strategy spanning model training, deployment, monitoring, and lifecycle management on Kubernetes across AWS, GCP, and Azure.
- Establish and evangelize engineering best practices across services, including standards for scalability, fault tolerance, observability, and operational excellence.
- Mentor senior engineers and partner closely with data scientists to elevate technical quality and shorten the path from research to production.
- Partner with Product, Data Science, and Platform leadership to shape the multi‑quarter technical roadmap and influence cross‑organisation decisions on predictive intelligence.
- Represent the AI engineering organisation in technical conversations and architectural reviews with outside teams.
- Your Qualifications
- Strong experience working within Software Engineering, Principal or Architect‑level role owning systems at scale.
- Deep expertise in Python and in designing and operating high‑availability, production ML services.
- Hands‑on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres.
- Strong production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure), with working familiarity across multi‑cloud environments.
- Demonstrated experience with MLOps tooling and patterns, including model registries, experiment tracking, and CI/CD for.
- Proven ability to lead architectural strategy across multiple teams and services, balancing long‑term vision with pragmatic delivery.
- Strong communicator who can translate complex technical decisions into clear narratives for engineers, data scientists, product partners, and executives.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Preferred Skills
- Experience operating forecasting models in production, including gradient‑boosted methods, neural networks, and constraint‑based optimization solvers.
- Domain background in retail, supply chain, demand planning, or financial planning.
- Experience leading post‑acquisition platform integration or cross‑organisation architectural alignment across previously independent products.
- Open‑source contributions to ML infrastructure, data processing, or related ecosystems.
- Advanced degree in Computer Science, Machine Learning, Statistics, or a related field.
- Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business.
DEIB improves our workforce, enhances trust with our partners and customers, and drives business success.
Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader.
We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique.
We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment.
Please contact us to request accommodation.
C andidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice.
This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.
#J-18808-Ljbffr
Principal Developer - AI in Salford employer: Anaplan
Anaplan is an exceptional employer that fosters a Winning Culture, where innovation and collaboration thrive. Located in London, we offer a dynamic work environment that champions diversity and provides ample opportunities for professional growth, ensuring that every employee feels valued and inspired to contribute to our mission of transforming business decision-making. With a commitment to inclusivity and a focus on celebrating achievements, Anaplan is the perfect place for those looking to make a meaningful impact while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Developer - AI in Salford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Anaplan or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Anaplan.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Anaplan.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Anaplan that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Principal Developer - AI in Salford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Anaplan.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anaplan and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Anaplan
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Anaplan uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
