AI Engineer Southwark, London

Навыки

• A/B-тесты
• AI-инструменты в работе
• Amplitude
• Azure
• BI-инструменты
• CJM / JTBD
• Анализ данных

О компании и продукте

• Our client is investing significantly in AI as part of a large-scale transformation programme. Operating through a central AI Centre of Excellence, they are building scalable, production-ready AI solutions that deliver measurable business value. This is a chance to join early, influence standards and best practice, and play a key role in a growing AI engineering team.
• This is a high-visibility, high-impact individual contributor role sitting at the intersection of machine learning, clinical data science, and translational biology. You will lead the company’s drug response prediction work – one of the most consequential and technically demanding initiatives in our portfolio.
• This is not a pure research role, and it is not a pure engineering role. It requires someone who can move fluidly between rigorous quantitative analysis and the realities of working with large, messy, real-world datasets – someone who can apply state-of-the-art methods without losing sight of what actually works in practice.
• There are thousands of drugs that work – but only for a small subset of patients, and we largely don’t know why. We are building a systematic engine of understanding between drugs and biology: one that can decode the relationship between a patient’s biology and their response to treatment, and translate that into insights that immediately improve care.

Задачи

• Design, build and deploy AI and machine learning solutions from concept to production
• Develop applications using LLMs, Generative AI and Agentic AI frameworks
• Deliver predictive, optimisation and automation use cases
• Build robust MLOps and LLMOps processes, including monitoring and evaluation
• Work closely with engineers, data scientists, product teams and business stakeholders
• Help establish AI engineering standards, governance and responsible AI practices
• Contribute to the long-term technical direction of the AI team
• Your Skills & Experience
• Strong Python and software engineering background
• Commercial experience delivering machine learning models into production
• Knowledge of MLOps, LLMOps, CI/CD and containerisation
• Experience with cloud platforms, ideally Azure
• Understanding of model evaluation, monitoring and responsible AI
• Libby Gunn
• Managing Consultant
• Owning analysis from initial hypothesis through to insight and recommendation
• Analysing user journeys, behaviour, conversion and engagement to identify opportunities to improve the product
• Designing and evaluating A/B tests, control groups and experiments to understand incremental impact
• Using product analytics tools such as Amplitude
• Writing advanced SQL and using Python for deeper analysis and automation
• Building and maintaining analytical data models using dbt
• Creating self-service reporting around product performance, experimentation and key metrics
• Working with external datasets and APIs to improve the quality, coverage and accuracy of partner/business data

Требования

• You’ll ideally come from a product-led, B2C, marketplace, subscription, e-commerce or digitally native environment , with experience using data to directly influence product and commercial decisions
• Key experience
• Strong hands-on SQL
• Strong Python experience
• Hands-on experience with dbt
• Experience with a product analytics or experimentation platform such as Amplitude, Mixpanel, Optimizely, OpenPanel, PostHog, Heap or similar
• Strong A/B testing and experimentation experience
• Dashboarding experience with Lightdash, Tableau or Power BI
• Good statistical understanding, including control/holdout groups and measuring incremental impact
• Experience analysing customer/user behaviour, journeys, conversion or engagement
• Ability to translate complex analysis into clear recommendations for Product and Commercial stakeholders
• Experience working with APIs, data quality, matching or enrichment would be beneficial
• An interest in AI/LLMs and how they can improve analytics workflows is a nice to have rather than essential
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• Director of Analytics
• New York
• Data Engineering
• Permanent
• We’re looking for a hands-on Director of Analytics to lead the strategy, architecture, and delivery of our global analytics platform – serving both internal stakeholders and thousands of clients worldwide
• This is a builder’s role: you’ll personally shape data pipelines, semantic models, and embedded analytics products while building and mentoring a high-caliber engineering team
• Role Details
• 10+ years in analytics/data engineering
• 5+ years leading and growing technical teams

Будет плюсом

• Integrating financial/ERP/CRM/payment systems (NetSuite, Salesforce, or similar)
• Aggregating from diverse sources, including APIs, geospatial imagery, unstructured web data, and public government records
• Exposure to feature engineering, forecasting, or AI-adjacent analytics
• Curiosity about AI tooling. No expertise needed, just a willingness to work smarter with it
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• Product Marketing Manager – Mobile Gaming
• Advanced Analytics & Marketing Insights
• Permanent
• Miami, Florida
• Location: Miami, FL (Hybrid)
• Job type: Full-time, Permanent
• We’re partnering with a leading mobile game studio in Miami, part of a major international gaming group, to hire a Product Marketing Manager for its flagship title
• This is a rare opportunity to own the full player journey for one of the most recognizable games in its genre, from first ad impression to long-term retention, and turn new content launches into viral cultural moments
• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience
• CAN’T FIND THE RIGHT OPPORTUNITY?
• STILL LOOKING?
• If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door
• TALK TO US
• Data Talent Solutions Enquiry
• Name (Required)

Условия

• Salary: $140,000-170,000

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