DATA & ai RECRUITMENT FORT LAUDERDALE

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Staff Data Scientist – Paid Marketing
London – x2 days a week
Up to £113,000 plus bonus and benefits
This is a fantastic opportunity to join a high‑growth, product‑led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy.

The Company
They are a fast‑scaling, community‑focused digital marketplace with a strong app footprint and a mission‑led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale.

The Role
You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions.
Key responsibilities include:
* Leading the development, maintenance, and optimisation of attribution models for sign‑ups and paid activity.
* Building measurement capabilities, including CLV and LTV modelling for strategic forecasting.
* Delivering complex, in‑depth analysis to explain performance and guide future investment.
* Partnering with stakeholders across paid, brand, and wider marketing teams.
* Driving the measurement roadmap and ensuring clarity on key metrics across the business.
* Providing BAU support while also setting long‑term direction.

Your Skills and Experience
You will bring:
* Strong SQL skills.
* Excellent Python capability for developing analytics and attribution models.
* Proven experience in marketing analytics within an app‑based or digital‑first environment.
* Ability to communicate complex measurement concepts clearly to non‑technical stakeholders.
* Experience owning attribution frameworks and performance measurement processes.

What They Offer
* Up to 113k plus benefits

How to Apply
If you are passionate about building best‑in‑class measurement for a fast‑moving digital brand, apply today to find out more.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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Lead AI Engineer
Location: San Francisco Bay Area | Hybrid
Salary: $250-300k + Equity

Join a well-funded, AI-native startup at the forefront of redefining how digital products are designed and shipped.

This team is building a next-generation design platform where every screen is real, production-ready code. Designers work directly in the medium that ships, not static mockups, with AI deeply embedded into the workflow to accelerate iteration while preserving precision, consistency, and control.

Backed by top-tier Bay Area investors and senior product leaders from companies including Shopify, Notion, Dropbox, Stripe, and OpenAI, the company has strong runway, a high bar for talent, and ambitious plans ahead.

They’re now hiring their first dedicated Lead AI Engineer to own the model layer and drive AI performance across the product.

The Opportunity

You’ll work directly with the CTO and founding team to define and execute the AI strategy at the model level.

This is a hands-on, production-focused AI engineering role centered on:

• Fine-tuning LLMs for real-world use cases
• Optimizing inference speed, cost, and reliability
• Designing and deploying custom Small Language Models (SLMs)
• Establishing evaluation, benchmarking, and observability standards

What You’ll Be Responsible For

Fine-Tuning & Model Strategy

• Own fine-tuning workflows (LoRA, adapters, distillation, full fine-tuning)
• Decide when to fine-tune vs optimize at the system or prompt level
• Iterate models based on production feedback
• Balance quality, latency, and cost tradeoffs

Model Optimization & Performance

• Improve inference speed and throughput
• Reduce cost per request
• Enhance reliability and output consistency
• Define model evaluation and benchmarking frameworks

Custom SLM Development

• Design and train custom SLMs for specific design-to-code workflows
• Identify when smaller models outperform larger ones
• Deploy and maintain real-time, streaming AI systems
• Support multi-step and agentic AI capabilities within the product

What They’re Looking For

• 5+ years of software engineering experience
• 2+ years building with LLMs in production environments
• Proven hands-on fine-tuning experience (LoRA, distillation, adapters, etc.)
• Experience deploying custom or specialized models
• Strong intuition around inference tradeoffs: latency, throughput, cost, reliability
• Proficiency in Python and TypeScript / Node.js

Nice to have:

• ONNX runtime or model optimization tooling
• Experience with orchestration frameworks (e.g., LangChain)
• WebSockets, Redis, or real-time streaming systems
• Background in AI-native or code-generation products
• A PhD or advanced degree is welcomed, but demonstrated production impact is the priority.

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Senior Data Scientist

Manchester (2 days on site)

A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.

The Company

They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.

They process billions of data rows weekly to prevent wasteful and fraudulent traffic.

Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.

The Role

* Deliver full lifecycle AI and ML projects from prototype to production.

* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.

* Work with large and messy tabular datasets to create high‑impact models.

* Develop classification and optimisation approaches to enhance customer outcomes.

* Partner with Product and Engineering to integrate models into the platform.

* Lead the transition toward a more AI‑driven product ecosystem.

Your Skills and Experience

* Strong commercial experience deploying AI and ML systems into production.

* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.

* Confident working with large‑scale tabular datasets and complex data environments.

* Cloud experience, ideally AWS, plus familiarity with MLOps practices.

* Background in product‑focused environments or consultancy.

* Ability to evidence measurable business impact from previous technical projects.

What They Offer

* Hybrid working with two office days weekly.

* High levels of ownership across AI strategy and delivery.

* Opportunity to build the company’s first production AI systems.

* Collaborative culture within a scaling SaaS environment.

* Clear progression as the AI function grows.

How to Apply

To register your interest, please apply with your CV.

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Senior Data Scientist

London
£70,000 to £90,000 plus benefits

This is an exciting opportunity to join a high‑growth tech business where data science sits at the heart of product innovation. You will shape new AI‑driven capabilities, work with cutting‑edge machine learning, and help transform how customers understand and prevent complex digital challenges.

The Company

They are a fast‑scaling SaaS organisation operating at the intersection of AI, machine learning, and real‑time behavioural data. Their platform processes billions of events daily and solves technically challenging problems in a rapidly evolving domain. With data science embedded into their core product, this team plays a critical role in defining the next generation of their offering.

The Role

• Lead the end‑to‑end development of new ML and AI capabilities, from rapid prototyping through to production deployment.
• Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life.
• Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact.
• Work with large‑scale datasets in cloud environments to deliver robust, scalable systems.
• Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision‑making.

Your Skills and Experience

• Strong experience delivering production‑grade ML systems end to end.
• Proficiency in Python and SQL, with experience working on cloud‑scale datasets.
• Practical experience with LLMs and applied AI, such as RAG, agents, or NLP.
• Experience building customer‑facing or product‑centric ML systems.
• A product‑focused mindset, balancing experimentation with real‑world value.

Useful additional experience includes:

• AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift).
• MLOps practices (monitoring, deployment, optimisation).
• Working with streaming data, transformer models or recommendation systems.

What They Offer

• £70,000 to £90,000 salary.
• Hybrid working with two days onsite.
• 35 days annual leave including bank holidays.
• £500 annual wellbeing budget.
• Up to £1,500 home office setup budget.
• Company pension contribution at 3 percent.

How to Apply

If you are interested in this Senior Data Scientist opportunity, please apply with your CV or email me at

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Senior AI Engineer – Manchester

We are working on an exciting role with a scale up SaaS company who are focused on helping clients eliminate wasteful and fraudulent ad traffic.

The Role
We are looking for an experienced Data Scientist with strong ML expertise to build and improve models that detect invalid traffic (IVT) and protect ad spend. You’ll work with large-scale data, design production-ready ML systems, and collaborate closely with engineering to keep models performant and reliable.

Responsibilities

• Develop and deploy ML models to detect bot and fraudulent traffic
• Lead research and prototyping of new detection methods
• Monitor model performance and address drift or false positives
• Collaborate across teams to turn insights into product features
• Ensure compliance, scalability, and reliability of ML systems

What We’re Looking For

• Proven experience with ML in production environments
• Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.)
• Familiarity with MLOps and real-time data applications
• A pragmatic mindset and strong problem-solving ability
• Background in adtech or fraud detection is a bonus

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Senior Data Scientist
London or Leicester, hybrid working, £60,000 to £75,000 plus bonus

If you enjoy solving complex, open ended problems and want your models to directly influence real world decisions, this role stands out. You will work in a highly analytical environment where data science is central to pricing strategy, with the freedom to experiment, challenge assumptions, and build genuinely innovative solutions.

The Company

They are a large, digitally focused organisation operating in a consumer market rich with data and complexity. Analytics and data science sit at the heart of how the business assesses risk, prices products, and drives sustainable growth. Significant ongoing investment in technology and cloud infrastructure means data teams are well supported to innovate and deliver impact at scale.

The Role

• Build and improve predictive models that shape pricing and customer selection strategies.
• Work with large, messy datasets to uncover insight and improve commercial outcomes.
• Develop and iterate on advanced machine learning models, including gradient boosting approaches.
• Explore alternative and novel data sources, including geospatial style data, to enhance pricing accuracy.
• Take ownership of models from early exploration through to deployment and iteration.
• Collaborate closely with stakeholders across pricing, analytics, and engineering.
• Support and mentor junior colleagues, contributing to a strong team culture.

Your Skills & Experience

• Strong commercial experience in data science or applied machine learning.
• Demonstrable experience building predictive models used in pricing, risk, or customer decisioning.
• Confidence working end to end across the modelling lifecycle, from problem definition to deployment.
• Strong Python and SQL skills, with experience working in cloud based environments.
• Ability to communicate modelling approaches and results clearly to non technical stakeholders.
• A curious mindset with an interest in improving pricing accuracy through data and innovation.

What They Offer

• Salary between £60,000 and £75,000.
• Additional cash bonus on top of base salary.
• Hybrid working with one day per week in the office.
• Exposure to highly visible, business critical modelling work.
• Strong progression and development opportunities within an established data science function.

How to Apply
Apply now to explore how this Senior Data Scientist role could be the next step in your career.

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Lead AI Engineer
London hybrid, £80,000 to £85,000 base plus bonus and benefits

This is a role for someone who wants real ownership and influence. You will join a growing internal AI function at a point where direction, structure, and best practice genuinely matter. If you enjoy being hands-on while shaping how AI is used across a business, this role offers the space to make a visible impact.

The Company

They are a well-established organisation operating at scale across the UK, working with both public sector and commercial partners. Technology sits at the centre of their strategy, with a clear focus on using data and AI to improve how teams work internally. Their AI capability is evolving, with senior backing and a clear appetite to move from experimentation to mature, production-ready solutions.

The Role

You will be a senior technical voice within an AI enablement team, working closely with a Head of AI and a Product Owner to turn business needs into practical AI products.

• Design, build, and deploy internal AI-powered applications used across the organisation
• Lead development of conversational AI and automation tools that support complex business processes
• Define and evolve the LLM architecture and tooling, building on existing OpenAI usage
• Translate loosely defined problems into clear, scalable technical solutions
• Partner with product and business stakeholders to prioritise high-impact use cases
• Set engineering standards, guide best practice, and support the development of other engineers
• Own solutions end to end, from design through to deployment, monitoring, and iteration

Your Skills & Experience

• Strong commercial experience as a software engineer, with software engineering fundamentals at the core of your background
• Advanced Python development skills and experience building backend services and APIs
• Proven experience integrating AI or LLM-based services into production systems
• Cloud-native development experience, ideally within Azure environments
• Solid understanding of system design, CI/CD pipelines, DevOps practices, and production reliability
• Confidence influencing technical direction and bringing structure to less mature environments
• A practical mindset focused on building robust software that delivers real business impact

What They Offer

• Salary between £80,000 and £85,000 plus a performance-related bonus
• Employer pension contribution up to 8 percent
• Hybrid working model with regular collaboration in the London office
• A comprehensive benefits package including healthcare support and enhanced family policies
• The opportunity to shape and mature an internal AI function with long-term impact

How to Apply
If you are looking for Lead AI Engineer role where you can combine hands-on delivery with real influence, apply with your CV to learn more about this opportunity.

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Lead Data Scientist

$175,000- $200,000

Pittsburgh, PA (Onsite)

THE ORGANISATION

A discreet, high‑growth technology group is expanding its advanced analytics and AI leadership capabilities. The organisation operates in a deeply complex environment where modelling, optimisation, and intelligent decision systems play a central role. They are investing heavily in next‑generation platforms that blend predictive modelling, simulation, and large‑scale automation to influence critical strategic choices.

THE ROLE

This is a senior technical and leadership role responsible for architecting sophisticated simulation, optimisation, and decision‑intelligence systems. You will guide the vision, design, and delivery of large‑scale AI solutions, combining hands‑on expertise with strategic leadership.

Your remit spans the development of system‑level simulations, optimisation engines, and complex modelling frameworks that support high‑impact decision workflows. You will define long‑range technical direction, lead major AI initiatives end‑to‑end, and mentor a highly skilled team of Data Scientists and AI Engineers.

This is a position for someone who thrives in ambiguity, enjoys solving multi‑variable, system‑level challenges, and brings strong conceptual and practical knowledge of advanced modelling.

KEY RESPONSIBILITIES

• Lead the architecture, design, and deployment of advanced simulation and optimisation platforms
• Build multi‑modal modelling systems incorporating predictive analytics, stochastic simulation, and strategic optimisation workflows
• Define the long‑term technical roadmap for modelling and decision‑intelligence initiatives
• Oversee large‑scale AI projects from initial scoping through to production launch
• Act as the senior technical authority on simulation, optimisation, and model strategy
• Develop scalable frameworks that support complex capability modelling and scenario analysis
• Lead the development of platform components that integrate simulation, optimisation, predictive modelling, and decision logic
• Mentor senior technical team members, raising the standard across modelling, experimentation, and delivery
• Establish modelling best practices, evaluation standards, and robust experimentation workflows
• Partner with cross‑functional teams to convert abstract, open‑ended challenges into concrete technical solutions
• Bring emerging research and methodologies (simulation techniques, optimisation methods, advanced model reasoning, etc.) into production systems
• Communicate modelling strategy, risk, and value clearly to both technical and non‑technical stakeholders

WHAT YOU BRING

• 7+ years of applied Data Science or similar experience in complex modelling domains
• Deep experience with simulation methodologies (e.g. discrete‑event, agent‑based, Monte‑Carlo, or similar approaches)
• Strong understanding of stochastic optimisation, Bayesian optimisation, and advanced mathematical modelling techniques
• Ability to design, evaluate, and scale large‑scale modelling systems and optimisation pipelines
• Strong Python engineering foundations and experience delivering production‑ready AI/ML systems
• Experience leading full lifecycle AI/DS projects, from ideation to deployment
• Proven track record of working with large datasets, complex modelling environments, and multi‑component systems
• Ability to mentor senior‑level technical staff and influence high‑level decision‑making
• Comfortable operating in a high‑autonomy, high‑ownership environment

DESIRABLE EXPERIENCE

• Experience with causal modelling, decision science, or structural modelling frameworks
• Experience with complex system evaluation, simulation benchmarking, or modelling validation
• Background in scaling AI/ML or optimisation systems across cloud environments
• Experience converting experimental prototypes into robust, enterprise‑ready solutions
• Strong publication or research contributions in modelling, optimisation, or related fields

THE OFFER

• Competitive Base Salary
• Opportunity to architect foundational modelling and optimisation systems for a major technology programme
• Significant autonomy and technical ownership
• Ability to shape modelling strategy, culture, and long‑term system design
• Work within a deeply technical team solving highly complex, meaningful challenges

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Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

• Lead the design and development of agentic AI systems from conception through production
• Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
• Build modular “skills” and components that plug into backend systems and data pipelines
• Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
• Guide Agile processes, technical planning, and day‑to‑day engineering execution
• Partner with product and delivery teams to solve complex operational challenges
• Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

• Several years of experience building and deploying ML or LLM‑powered systems in production
• Experience leading or mentoring engineering teams
• Demonstrated expertise in LLM integration and agentic system development
• Strong Python engineering skills
• Hands‑on experience with cloud infrastructure (AWS preferred)
• Familiarity with LLM algorithms, scaling patterns, and system reliability
• Ability to operate autonomously in high‑pace, ambiguous environments
• Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

• Experience designing or deploying complex multi‑agent architectures
• Exposure to startup or high‑growth engineering cultures
• Experience with GenAI coding tools or best practices for agentic systems
• Eligibility to work in secure or sensitive environments

THE OFFER

• Ownership over next‑generation agentic AI strategy and architecture
• Opportunity to lead a high‑impact engineering team
• Work with cutting‑edge LLM and agentic technologies
• Fast‑paced environment with strong technical autonomy

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Lead Data Scientist

$175,000 to $200,000

Location: Pittsburgh, PA (Onsite)

THE ORGANISATION

A quietly scaling technology group is investing heavily in next‑generation AI capabilities. Their work centres on high‑complexity data environments, advanced analytics, and intelligent systems that surface insight, support decision‑making, and power exploratory research. The culture values depth of thinking, technical rigour, and leaders who thrive in ambiguous, evolving problem spaces.

THE OPPORTUNITY

This position will lead the development of sophisticated search, retrieval, and reasoning systems built on large‑scale datasets and advanced modelling techniques. You will act as the senior technical authority architecting platforms, shaping long‑term strategy, and mentoring a high‑calibre team across both Data Science and AI Engineering.

The role blends deep research, hands‑on modelling, system design, and leadership. Expect to define the roadmap for how information is indexed, retrieved, ranked, explored, and transformed into actionable outcomes. This is a position for someone who enjoys building from first principles, driving technical direction, and delivering complex AI capabilities end‑to‑end.

WHAT YOU’LL LEAD

• Designing and building advanced retrieval, ranking, and AI‑driven research systems
• Setting the technical strategy and multi‑year roadmap for search, knowledge exploration, and agentic reasoning capabilities
• Architecting large‑scale pipelines combining embeddings, traditional search methods, knowledge graphs, and hybrid retrieval techniques
• Developing conversational exploration tools, structured reasoning systems, and intelligent query‑understanding models
• Acting as the principal technical contributor on high‑impact projects, while also coaching and elevating senior engineers and scientists
• Collaborating with product and engineering to translate open‑ended problem statements into clear, scalable technical plans
• Establishing best practices across experimentation, modelling, evaluation, and model lifecycle management
• Bringing cutting‑edge research (LLMs, retrieval, agentic behaviours, multimodal embeddings, etc.) into production environments
• Leading workshops, technical discussions, and internal knowledge‑building initiatives

WHAT YOU BRING

• 7+ years’ experience in applied Data Science or AI research within a production‑focused environment
• Background in search/retrieval, ranking systems, embeddings, or related areas
• Expertise in building and scaling RAG pipelines, hybrid retrieval architectures, or advanced indexing strategies
• Strong ability to design and evaluate multimodal embedding models, vector‑based retrieval, and graph‑driven systems
• Deep experience with ranking and reranking architectures (bi‑encoders, cross‑encoders, multi‑tower structures)
• Strong Python engineering fundamentals and experience deploying complex AI systems
• Experience with reasoning frameworks, orchestration approaches, or agentic system design
• Ability to guide high‑impact initiatives from ideation through to production release
• Strong communication skills and the ability to influence technical and non‑technical stakeholders

NICE TO HAVE

• Research publications or recognised contributions to AI/ML/NLP communities
• Experience in fine‑tuning or post‑training large models
• Familiarity with evaluation methods for complex retrieval and agentic systems
• Experience working with large‑scale cloud environments and MLOps frameworks
• Proven ability to transition research prototypes into stable, enterprise‑grade products

THE OFFER

• Competitive compensation
• Ownership of a foundational AI capability within a rapidly scaling technical environment
• Autonomy to shape long‑term direction, architecture, and technical standards
• Opportunity to work on complex, meaningful challenges with a highly skilled AI team

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