AI Engineer

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers.

Our software, machine learning and AI are key to how we deliver impact, centred on:

• Natural Language Processing, GPT & other LLMs: unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions
• Marketing Data Science & Personalisation: using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers
• Data Engineering & Data Architecture: data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platforms
• Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clients

As a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far and we’re looking for an AI Engineer to join our growing team.

About the role:

You’ll play a crucial role in designing and building innovative data science solutions, in the cloud, from scratch. You’ll work on a mix of small proof of concepts and larger projects, both of which push the boundaries of what we can do with data; building innovative models on top of open source packages, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS.

Your role will be twofold. You’ll develop leading data science and machine learning models for our London-based client-base; understanding their business and turning their requirements into solutions that inform their most strategic decisions. Additionally, you’ll work to shape the future of our fast-growing start-up, driving and enhancing our data science capabilities and best practices as we continue to grow. We are looking for a passionate and ambitious individual, enthusiastic about exploring cutting-edge trends in data science and NLP, with a keen interest in applying innovative approaches to digital data sources for the benefit of Curve and our clients.

What you’ll be doing:

• Build innovative data science in Python
• Develop and deploy advanced machine learning models
• Proactively research and share the latest trends in data science, AI and NLP
• Explore new and novel ways to understand and enrich digital data sources
• Translate unstructured business problems into machine learning or optimisation frameworks
• Work closely with a great cross-functional Curve team – specialists in data science & engineering, strategy, insights and analytics – and interface with client counterparts
• Identify ways to improve accuracy and the business impact of our data solutions
• Interrogate and data mine rich digital sources such as social, search, surveys, reviews, clickstream, sales, IoT devices and beyond
• Research and explore opportunities to acquire new data sources and deploy new methods that deliver innovative perspectives to our clients

What we’re looking for:

• Bachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline
• Experience designing, building, testing and optimising machine learning models and NLP solutions
• Some experience with defining hypotheses and running effective data science experiments
• Strong Python skills, preferably some Object Oriented Programming in Python or other
• SQL and some data warehousing knowledge

Nice to haves or excited to learn:

• Experience analysing data in a marketing or other consumer-centric context
• Experience developing data solutions in cloud environments such as Azure, AWS or GCP
• Experience utilising social listening tools and/or search/web analytics tools

Benefits:

• Competitive Salary: We offer a competitive salary, that reflects your talent and expertise in accordance with industry standards.
• Annual Leave: 25 days holiday a year plus bank holidays.
• Annual Bonus: Our Annual Bonus is based on company and individual performance.
• Generous Pension: You can expect to receive a generous 8% employers’ pension contribution.
• Health and Wellbeing: Access our Cycle to Work Scheme and prioritise your health with our comprehensive AXA Private Healthcare Plan and 24/7 Employee Assistance Programme. You will also be assigned a dedicated People Manager for confidential discussions about your work life.
• Hybrid Working: Split your time between working remotely and from our London HQ.
• Growth and Development: Development is at the heart of everything we do. You will be able to create a Personalised Growth Plan and get involved in our internal trainings. You will also get a yearly individual learning budget for training, books, courses, certifications, and conferences.

We’re looking for candidates who really want to make an impact. Join us!

Curve is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. All employment is decided on the basis of qualifications, merit, and business need. If you require any reasonable adjustments to be made during the recruitment process then please don’t hesitate to let us know.