Principal Machine Learning Engineer in London

Principal Machine Learning Engineer in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
A

At a Glance

  • Tasks: Lead the design and deployment of innovative AI systems that transform business planning.
  • Company: Join Anaplan, a leader in AI-driven decision-making for top global companies.
  • Benefits: Enjoy a diverse culture, competitive salary, and opportunities for personal growth.
  • Other info: Be part of a team that values diversity and celebrates every win!
  • Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
  • Qualifications: Expertise in AI, ML, and software engineering required; passion for innovation is a must.

The predicted salary is between 70000 - 90000 £ 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 celebrating our 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!

Role Summary

We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces.

You'll build production-ready AI features that empower business users to leverage the power of Gen AI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.

  • Your Impact
  • Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments.
  • Develop end-to-end Gen AI features including backend API services, model integration, model monitoring, evaluations and deployments
  • Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation
  • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
  • Implement evaluation frameworks to measure and improve Gen AI feature quality, including accuracy, latency, and user satisfaction metrics
  • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
  • Optimise model inference pipelines for performance, cost, and scalability in production environments
  • Implement monitoring, logging, and observability for Gen AI systems to track usage, errors, and model behaviour
  • Collaborate with data scientists to productionise ML models and forecasting algorithms
  • Your Skills
  • Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains.
  • End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments.
  • Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
  • Experience in fine-tuning LLMs for domain-specific enterprise applications.
  • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.
  • Experience with agentic frameworks and autonomous agent architectures.
  • Proficiency in Python and modern software development practices (testing, code review, CI/CD).
  • Proven track record of delivering complex technical projects on time with high quality

Desirable

  • Advanced degree (Master's or Ph. D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field
  • Hands-on experience with cloud-native ML infrastructure platforms
  • Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
  • Experience with model serving frameworks (v LLM, Tensor RT, Ray)
  • Experience with A/B testing and experimentation frameworks for AI features
  • Contributions to open-source ML projects or research publications
  • Experience with model observability tools (Lang Smith, W&B;, MLflow)
  • Our Commitment to Diversity, Equity, Inclusion and 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.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet.

Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan.

The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not

  • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
  • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan. com email address.

Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan. com before taking any further action in relation to the correspondence.

Principal Machine Learning Engineer in London employer: Anaplan的Principal Machine Learning Engineer職位申請

Anaplan is an exceptional employer that fosters a Winning Culture, where innovation and collaboration thrive. With a commitment to diversity, equity, inclusion, and belonging, employees are empowered to bring their authentic selves to work while enjoying opportunities for professional growth and development. Located in a vibrant environment, Anaplan offers competitive benefits and a supportive atmosphere that celebrates achievements, making it an ideal place for those looking to make a meaningful impact in the field of AI and machine learning.

A

Contact Details:

Anaplan的Principal Machine Learning Engineer職位申請 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Machine Learning Engineer in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Anaplan的Principal Machine Learning Engineer職位申請!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Machine Learning Engineer at Anaplan的Principal Machine Learning Engineer職位申請.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Anaplan的Principal Machine Learning Engineer職位申請.

Apply Directly through Our Website

When you find a suitable opening like Principal Machine Learning Engineer at Anaplan的Principal Machine Learning Engineer職位申請, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Principal Machine Learning Engineer in London

Artificial Intelligence
Machine Learning
Model Lifecycle Development
LLM APIs
Prompt Engineering
Conversational AI Patterns
MLOps

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Anaplan的Principal Machine Learning Engineer職位申請, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anaplan的Principal Machine Learning Engineer職位申請. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Anaplan的Principal Machine Learning Engineer職位申請

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Anaplan的Principal Machine Learning Engineer職位申請!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.