At a Glance
- Tasks: Lead the development of AI-driven data platforms and LLM products for marketing.
- Company: Join Bluefish, a pioneering AI marketing platform for Fortune 500 companies.
- Benefits: Flexible hybrid or remote work options, competitive salary, and career growth opportunities.
- Other info: Be part of a dynamic startup culture with a focus on innovation and collaboration.
- Why this job: Shape the future of AI technologies and make a real impact in marketing.
- Qualifications: 8+ years in data systems, strong Python skills, and ML model deployment experience.
The predicted salary is between 63000 - 77000 £ per year.
As a Staff AI Engineer, you’ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You’ll own critical architectural decisions, set quality bars, and lead multi-team initiatives that drive measurable outcomes.
You will lead the vision and execution of our data platform and LLM-powered products, owning critical architectural decisions across data pipelines, model integration, model deployment and evaluations. This role spans data backend and ML engineering, focusing on the reliability and cost efficiency of our pipelines and the performance of LLM-enabled features.
You’ll raise the bar for data literacy across the department, craft collaboration, and be accountable for the health, cost, and evolution of key data products and platforms. You will partner closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.
This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications. The role is linked with our location in London, but we are flexible about hybrid or remote work in The United Kingdom.
- Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.
- Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.
- Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.
- Establish and enforce engineering standards: testing strategy, evaluations, observability, data contracts, and security practices across services.
- Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.
- Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers, and designers, to conceptualize and shape innovative and impactful solutions.
- Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.
8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real-world scenarios at scale. Deep experience in Python and modern service architectures; strong system design and data modeling fundamentals. Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python, with experience in data preprocessing, feature engineering, and model evaluation techniques.
Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI.
Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences. The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft.
We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York. This is a unique opportunity to join on the ground floor of a fast-moving startup building at the centre of AI, tackling challenging and abstract problems while disrupting the $300BN legacy mar-tech industry.
Join an experienced high-performing team where you will have immediate ownership and impact. Experience a true meritocracy with significant career growth upside as the business scales. Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment. Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
Ingénieur de traitements de Machine Learning in London employer: Bluefish AI
At Bluefish, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys the flexibility of hybrid or remote work, alongside opportunities for significant career growth in the rapidly evolving AI marketing sector. Join us to make meaningful contributions while working with industry veterans in a supportive environment that values craftsmanship and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Ingénieur de traitements de Machine Learning in London
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We think you need these skills to ace Ingénieur de traitements de Machine Learning in London
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bluefish AI. 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 Bluefish AI
✨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!
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✨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 Bluefish AI!
✨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.