Senior Machine Learning Engineer
hace 2 meses
About Intent HQRecognised by the Financial Times as one of the FT1000 Fast growing companies in Europe in 2022 and 2023, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science with a blue chip international enterprise customer base and solid financial backing from our investors.
Our mission is to become the world's preeminent Customer Intent platform by bringing together privacy-first signals intelligence, proprietary behavioural AI/ML analytics & uniquely accessible enterprise insights into a single platform that organisations will use to build more genuine, sustainable and profitable relationships with their customers.
Our initial focus solved problems for clients in the telecommunications sector, including Verizon & Orange.
We have since expanded into the Financial Services, Retail and Social Media sectors including HB Reavis and Zurich Group as clients to name a few.Our clients typically have tens of millions of customers and billions of interaction events each day.
We have developed our platform to handle data at this enormous scale efficiently.
Intent HQ is unique because we've focused on understanding customer interaction data.
We do the hard-specialised work leaving our clients free to focus on integrating the insight into their business, with one Client seeing an additional £26m annual revenue as a result of using our products and services.Intent HQ is an exciting place to work, we are very proud to have made our debut on the FT1000 Fastest Growing Companies in Europe for 2022
We have a talented team of circa 100 -people (and growing)
based in & around London, Barcelona, Lisbon and New York & Tel Aviv, collectively speaking over 15 languagesWhy Join Us:Exciting Work Environment:Work on cutting-edge technology at the intersection of AI and data analytics.We are Winners:AI Company of the year 2024 & Best in Tech Employer Women in Tech awards 2022 & 2023Growth Opportunities:Advance your career in a fast-paced, innovative industry.Hybrid & flexible workingThe Opportunity:Are you an expert at engineering and operating large-scale data and machine learning systems with high reliability and efficiency?
Do you thrive in environments that are data-driven and innovation-focused?We are looking for a Senior Machine Learning Engineer who is passionate about leveraging data, scaling ML systems, and building robust MLOps pipelines to deliver AI solutions at scale.
You will collaborate with data scientists, product teams, and engineers to design and maintain the infrastructure that powers our AI products, with privacy, security, and data ethics as core principles.At Intent HQ, we work on understanding customer behaviors by processing over 100 billion events daily, providing deep insights into what millions of customers do, how they think, and who they are.
Our work fuels high-impact products, and we are looking for someone who can help us scale these efforts even further.Key Responsibilities:Design, implement, and manage our end-to-end Data & ML Platform, which supports all AI product development and deployment.
This includes developing and improving data pipelines, feature engineering for downstream models, and orchestration of complex data workflows.Productionise machine learning models and manage them across the full lifecycle—from model training to deployment and monitoring—while ensuring scalability, security, and performance.Advise on architectural patterns and tooling to enable data and machine learning workloads at scale.
You'll work closely with data scientists to ensure the platform supports experimentation, model training, and inference efficiently.Collaborate with product and consulting teams to design and deliver platform capabilities that directly benefit our customers.Champion a culture of experimentation and continuous improvement by taking ownership, learning from mistakes, and contributing to the growth of your colleagues.What we're looking for:Required7+ years of industry experience writing clean, production-grade code, with a deep focus on data engineering, machine learning and MLOps workflows.Expertise in distributed data processing frameworks such as Spark, handling multi-terabyte datasets to generate valuable insights.Proficiency in building and orchestrating data and machine learning pipelines, supporting data engineering, model training, and inference at scale.Python as the primary programming languageExperience designing and maintaining large-scale, data-intensive applications that can support real-time or near-real-time workloads.Proven experience with CI/CD pipelines for packaging, deploying, and operating AI models at scale.Hands-on experience with MLOps infrastructure design and implementation, ensuring smooth operations of models in production environments.Ability to take initiative and ownership of tasks, with excellent collaboration and communication skills.Experience working with at least one of the major cloud providers (AWS, GCP, Azure)Nice to haveExperience with distributed computing frameworks like Ray / DaskFamiliarity with orchestration frameworks like Dagster or similar tools.Experience with systems programming languages like Rust (or C++) is a plus, particularly for building high-performance, low-latency applications and optimising data pipelines for efficiency and reliability.Diversity & InclusionIntent HQ is an equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work.
At IHQ, different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all.
Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards, under the Best Tech Employer (51-149 Employees)' category & being shortlisted for the Best Employer for Parental Support award - an achievement we are very proud of.
This year in 2024 we have been nominated again for the Best Tech Employer and our in house recruiter has been shortlisted for the Best In house Recruiter awardOur CultureWorking for Intent HQ, you have the opportunity to work with cutting edge technology in an environment where you are encouraged to think and act outside traditional methods.
We are a growing business with a flat structure meaning everyone is visible and able to make an impact, not just in their own role, but across the business on a daily basis.
We promote a collaborative, innovative and sociable culture, oriented towards performance and competitive advantage.
Our DNA is made up of flexibility to all staff with a family friendly approach and focus on personal development.
We have high expectations and pride ourselves on our cultural standards.Salary €80k-€90k depending on experienceBenefitsFlexible working hours and fully remote24 days holiday + public holidaysEdenred Flexible benefitOliva Mental Health platform and counsellingAnnual team retreats and trips to our London office (Covid permitting)Macbook ProTraining opportunities#J-18808-Ljbffr
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