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Head of AI
Brighton (1 day per week)
Competitive Salary plus equity

This is an opportunity to step into a leadership role where you can shape an AI‑first product from the ground up. If you enjoy being both hands‑on and strategic, and you want to build an AI capability that delivers real customer impact, this role offers the perfect platform.

The Company

They are a growing technology provider developing advanced AI products that support enterprise‑level telecoms organisations. Having spent the past year building a next‑generation virtual sales assistant powered by genAI, they are now scaling into a fully AI‑first business. Their data function is well established, highly collaborative, and ready for a leader who can elevate their technical direction and AI maturity.

The Role

You will:
* Lead a team of Data Scientists and Machine Learning Engineers while remaining hands‑on in development.
* Shape the AI roadmap across classic ML, genAI and emerging agentic approaches.
* Build and optimise full‑stack AI solutions that integrate smoothly into customer environments.
* Drive delivery best practices, including model evaluation, deployment processes and experimentation.
* Engage with enterprise customers to understand challenges and help shape product direction.
* Champion a culture of learning, technical excellence and customer‑focused innovation.

Your Skills and Experience

You will bring:
* Strong commercial experience building and deploying AI or ML‑driven products.
* Hands‑on technical skills in Python and modern ML frameworks.
* Practical experience with cloud environments, ideally AWS.
* Exposure to deployment tools such as Docker or Kubernetes, or a willingness to develop in this area.
* Proven ability to lead, coach and develop technical team members.
* Comfort working in both strategic and hands‑on capacities.
* Experience engaging with external stakeholders in enterprise settings.
* Ability to work onsite in Brighton one day per week.
* Please note that sponsorship is not available.

What They Offer

* Competitive base salary.
* Equity package with significant upside potential.
* A genuine leadership step‑up and the chance to build an AI capability almost from scratch.
* Impact on a product used by major enterprise brands.
* Hybrid working and a collaborative, high‑growth culture.

How to Apply

If you are looking for a leadership role where you can drive AI strategy while staying close to the work, apply now to register your interest.

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Senior AI Engineer
London | Hybrid | £75,000 to £90,000 plus benefits

If you enjoy building real AI systems that go beyond prototypes and want to work on high complexity projects that reach production, this role will suit you. This is an opportunity to deepen your engineering capability, work hands-on with modern AI technologies, and grow within a team that values technical excellence and continuous development.

The Company

They are a specialist Data and AI consultancy that delivers large scale, production-grade solutions for enterprise organisations. Their work spans financial services, energy, healthcare and life sciences, with a focus on solving meaningful problems through robust engineering. The environment is collaborative and delivery focused, with cross-functional squads working closely with clients to build systems that are reliable, trusted and used in real environments. They invest heavily in learning and development to help engineers stay at the forefront of the field.

The Role

* Design and build production-ready AI applications powered by modern language model technologies.
* Develop APIs, pipelines and integration components that support scalable and reliable systems.
* Work as part of a cross-functional squad to shape solutions from discovery to deployment.
* Implement monitoring, evaluation and optimisation processes for non-deterministic systems.
* Contribute to technical decision-making on architecture, tooling and delivery approach.
* Engage with client stakeholders in a consultative, collaborative way.
* Work in a hybrid pattern from the Liverpool Street office, with occasional visits to client sites.

Your Skills and Experience

* Strong commercial experience building or deploying AI or LLM-driven systems into production.
* Proficiency in Python or another production programming language.
* Experience designing and delivering APIs, data pipelines or backend services.
* Comfortable working with cloud platforms such as AWS, Azure or GCP.
* Understanding of how to engineer reliable, observable AI systems.
* Ability to collaborate with both technical teams and non-technical stakeholders.
* Comfortable working in a delivery-focused environment.
* Able to work in the UK without sponsorship.

What They Offer

* £75,000 to £90,000 base salary depending on experience.
* Hybrid working with 2 to 3 days per week in the Liverpool Street office.
* Dedicated learning and development budget.
* Regular knowledge sharing, engineering forums and professional growth opportunities.
* Exposure to high-impact, technically complex AI engineering projects.
* Clear progression pathways into Lead and Principal roles.

How to Apply
Please apply with your CV to be considered for this Senior AI Engineer role.

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Director of AI

US REMOTE

Up to $300,000 + Bonus

A global leader in digital learning and education technology is seeking a Director of AI to spearhead the development and delivery of advanced, AI‑powered learning experiences. This is a high‑visibility, high‑impact role driving innovation across millions of users worldwide.

You’ll lead a talented team of AI researchers and data scientists, setting the strategy and technical direction for next‑gen learning products, assessment solutions, and intelligent content systems, all within a collaborative, mission‑driven environment.

THE ROLE

As Director of AI, you will:

• Lead a team of AI/ML and GenAI specialists delivering cutting‑edge models and intelligent learning solutions
• Work cross‑functionally with Product, Engineering, Research, and Innovation teams to embed AI into core digital products
• Shape the AI roadmap for interactive learning, personalised assessment, and content creation technology
• Oversee technical design, model development, evaluation, and deployment for large‑scale, production‑level use
• Represent the AI function internally, influencing senior leaders and driving adoption of scalable AI capabilities
• Build a culture of experimentation, scientific rigour, and innovation across the AI team

REQUIREMENTS

You will bring:

• A strong track record leading AI/ML research or applied data science teams
• Deep expertise in Generative AI, LLMs, NLP, and modern machine‑learning techniques
• Experience building AI solutions that operate at scale and integrate into consumer‑facing digital products
• Exceptional communication skills, with the ability to translate complex technical concepts to non‑technical stakeholders
• Strategic leadership ability balanced with hands‑on technical credibility
• Experience hiring, mentoring, and growing high‑performing AI teams

Preferred but not essential:

• Experience in EdTech, digital content, learning technology, or adjacent industries
• Delivery of advanced AI features into production environments with large user bases

THE BENEFITS

• Competitive base salary + annual bonus
• Opportunity to lead AI strategy at a global scale and shape the future of digital learning
• Work with cutting‑edge technology to solve meaningful, mission‑driven problems
• Hybrid working with a major hub in New York
• Collaborative, supportive culture with strong investment in long‑term innovation

If you’re excited by the idea of building next‑generation AI systems that will transform how millions learn and engage with digital education, apply now to discuss this confidential opportunity.

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Data Scientist
London, hybrid working
£55,000 to £65,000 plus equity

This is an exciting opportunity to join a fast paced, data driven organisation where you will have real ownership of end‑to‑end modelling. You will work on high impact machine learning models that directly shape lending decisions across a rapidly expanding US portfolio, giving you scope to make a meaningful contribution from day one.

The Company

They are a high growth fintech known for their strong technical culture, commercial success and continued expansion across multiple consumer finance products. Data sits at the heart of their decision making, and they are committed to building high quality, scalable models that drive product performance. Their multidisciplinary teams collaborate closely, ensuring ideas move quickly from concept to production.

The Role

* Build and optimise predictive machine learning models, including credit risk scorecards.
* Develop models across lending, income verification, early repayment and forecasting.
* Support the automation of lending decisions across loan and credit card products.
* Work on acquisition, income verification, marketing and direct mail models as US volumes grow.
* Manage the full modelling lifecycle, from data collection to deployment.
* Communicate insights and modelling decisions effectively to technical and non‑technical stakeholders.

Your Skills and Experience

* Strong commercial experience building machine learning models in Python.
* Solid command of SQL with the ability to work confidently with large datasets.
* Experience working with customer prediction models such as forecasting, segmentation or pricing.
* Ability to take ownership of projects and deliver independently.
* Strong analytical capability supported by a STEM academic background.
* Clear communication skills and the confidence to work closely with stakeholders.
Nice to have skills include experience in credit risk or scorecard modelling.

What They Offer

* Salary between £55,000 and £65,000.
* Equity package.
* Hybrid working pattern with office days Tuesday to Thursday.
* The chance to work on a growing US portfolio with significant modelling ownership and scope for impact.
* A collaborative environment focused on high standards, performance and progression.

How to Apply
To apply, send your CV.

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Principal AI Platform Engineer

London

This is a standout opportunity to join a digital‑first insurer that is scaling an entirely new AI function. You will be the first permanent hire into a growing division, giving you direct ownership of production AI systems, end‑to‑end agentic automation, and the technical direction of a brand‑new platform.

The Company

They are a tech‑led insurer transforming how complex home insurance is delivered. Their vision is to become the UK’s first fully AI‑driven insurer, supported by modern cloud infrastructure and a collaborative product‑focused culture.

The Role

You will play a lead role in shaping, building, and scaling their AI platform, working closely with an AI Product Manager and senior leadership. Your work will focus on making AI production‑ready, highly scalable, and reliable across the business.

Key responsibilities include:

* Designing and delivering an AI platform that supports large‑scale agentic automation and end‑to‑end claims journeys

* Building robust RAG pipelines, LLM‑based systems, and deployment frameworks

* Developing AI agents for claims handling, internal tooling, and customer‑facing chat solutions

* Evolving an internal AI assistant and expanding its capabilities across teams

* Working hands‑on across cloud infrastructure, observability, evaluation, and optimisation

* Collaborating with engineering, product, and operations teams to take roadmap concepts into production

Your Skills and Experience

* Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems

* Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling

* Hands‑on cloud engineering experience, ideally in GCP and its AI ecosystem

* Strong Python engineering ability and experience building production‑grade services

* Experience working with vector search, data ingestion, observability, and experimentation frameworks

* A STEM background or equivalent technical capability

What They Offer

* Salary up to 90,000 plus benefits

* Hybrid working with 1-2 days per week in their Sheffield office

* The chance to join as the first hire in a scaling AI division with a 10‑role roadmap

* Significant autonomy, influence, and end‑to‑end ownership of AI platform design

* The opportunity to build cutting‑edge agentic systems and production AI from the ground up

How to Apply

If you are excited by the opportunity, please apply with your CV.

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

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Founding AI Engineer

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

About the Role

I’m looking for a hands‑on Founding AI Engineer to build and ship the core AI systems that will drive the product forward. Your work will center on fine‑tuning large language models, designing and owning training pipelines, and deploying models that perform reliably in real‑world production environments.

This role is ideal for someone who loves building: running experiments, writing code, optimizing models, and taking features from early prototype to fully deployed. You’ll work directly with me, help define our technical direction, and make an outsized impact from day one.

What You’ll Do

• Fine‑tune and adapt leading LLMs (OpenAI, Claude, Llama, Mistral, OSS) for production use cases.

• Build hands‑on data pipelines for SFT, DPO, LoRA, RL methods, and synthetic data generation.

• Design evaluation systems to measure accuracy, reliability, grounding, and hallucination reduction.

• Develop high‑performance inference infrastructure (quantization, batching, GPU optimization).

• Own the full lifecycle of ML features: modeling → pipelines → infra → deployment.

• Rapidly experiment, iterate, and improve model performance with tight feedback loops.

• Collaborate with me on architecture decisions and product direction.

What I’m Looking For

• Strong experience fine‑tuning and deploying LLMs in production.

• Deep ML engineering skills: Python, PyTorch, transformers, distributed/accelerated training.

• Comfort handling messy, real‑world data and building robust pipelines.

• Ability to move quickly, make informed tradeoffs, and deliver production-quality systems.

• A builder’s mindset-resourceful, execution‑driven, and energized by 0→1 challenges.

⭐ Bonus Points

• Experience with agentic systems, tool‑calling, or structured reasoning workflows.

• Background in MLOps, model evaluation frameworks, or GPU-aware engineering.

• Early‑stage startup or founding-team experience.

Why Join

• Founding-level equity with meaningful ownership.

• Massive responsibility and autonomy over the AI systems at the heart of the product.

• Freedom to experiment, move fast, and push the boundaries of what LLMs can do.

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

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Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

About the Role

A fast‑moving startup is seeking a Head of AI to build and lead its artificial intelligence function from the ground up. This is a high‑ownership role designed for someone who thrives in early‑stage environments, moves quickly, and is excited to shape both technical direction and company culture.

What You’ll Do

• Own the entire AI strategy and roadmap, guiding the evolution from early prototypes to scalable production systems.
• Design, train, fine‑tune, and deploy AI/ML models end‑to‑end, remaining hands‑on through early growth phases.
• Build and lead the AI organization – hiring, mentoring, and establishing team structure and best practices.
• Rapidly experiment and iterate, balancing scrappy execution with thoughtful long‑term architecture.
• Establish all AI infrastructure, including data pipelines, training workflows, model hosting, and MLOps foundations.
• Collaborate closely with founders and product/engineering teams to identify high‑impact AI opportunities.
• Implement responsible AI practices from day one, ensuring safety, reliability, robustness, and transparency.
• Evaluate and integrate emerging AI technologies, including LLMs, agentic systems, and multimodal architectures.
• Set standards for experimentation, evaluation, benchmarking, and deployment, optimizing for speed and quality.

What Makes You a Great Fit

• 7-10+ years in AI/ML with significant hands‑on experience building and deploying real systems.
• A track record of shipping AI products or infrastructure in a startup or small‑team environment.
• Deep understanding of LLMs, modern ML frameworks, retrieval systems, data engineering, and model evaluation.
• Ability to move fast while maintaining strong engineering discipline.
• Comfort operating in ambiguity and making high‑impact decisions without perfect information.
• Natural leadership instincts with the ability to both set vision and execute.
• Advanced degree in ML/CS or equivalent practical experience.

Bonus Experience

• Previous experience as a founding ML engineer or early technical leader.
• Direct experience training, fine‑tuning, or analyzing LLMs, multimodal models, or agents.
• Familiarity with lightweight startup‑friendly ML infrastructure (e.g., serverless inference, vector search, lean MLOps).
• Demonstrated ability to build quickly while maintaining high safety and reliability standards.

Location

San Francisco, CA – hybrid role; in‑person collaboration preferred during early team formation.

Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

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

Early-Stage Startup – Full-Time – AI Engineering

Join a fast-growing early‑stage startup building a next‑generation, AI‑native design‑to‑code platform. The team is creating a new category of design tooling where code renders directly as design, real-time AI is deeply embedded into the workflow, and designers work directly in the medium that ships to production.

We are now hiring a Lead AI Engineer as the first dedicated AI specialist on the team-owning the model layer, driving fine‑tuning strategy, and building custom SLMs that power a highly interactive, high‑performance product.

The Role

As the Lead AI Engineer, you’ll take end‑to‑end ownership of model development, optimization, deployment, and evaluation. This is a hands-on, production-focused role where you will build and maintain the AI systems at the core of the product experience.

You’ll work at the intersection of models, systems, and product-shipping production-grade AI features, shaping technical direction, and establishing best practices for evaluation and performance.

What You’ll Do

Model Fine‑Tuning & Specialization

• Lead fine‑tuning efforts across LoRA, adapters, distillation, and full fine‑tuning
• Decide when fine‑tuning, prompting, or system‑level approaches are most appropriate
• Iterate models based on real product signals and user feedback
• Balance quality, latency, reliability, and cost

Model Optimization & Performance

• Optimize inference speed, throughput, and per‑request cost
• Improve model determinism, consistency, and real-time responsiveness
• Define and maintain benchmarking, evaluation, and observability frameworks

Custom SLM Development

• Build small, fast language models tailored for design and code-generation workflows
• Identify use cases where SLMs outperform larger models
• Maintain and evolve SLMs in production environments

What You’ll Build

• Fine‑tuned models for design-to-code generation
• Custom SLMs for narrow, high‑precision workflows
• Real-time, streaming AI features inside a design environment
• Multi-step agentic systems supporting “prompt-as-cursor” and next‑in‑flow interactions

How You’ll Work

• ~80% hands‑on coding, 20% systems-level strategy
• Full lifecycle ownership: scoping → experimentation → deployment → monitoring → iteration
• Close collaboration with engineering and product leadership
• Operate within a highly senior, fast-moving engineering team
• Ideal for builders coming from AI‑native, high‑velocity environments

What We’re Looking For

Must-Have Experience

• 5+ years software engineering
• 2+ years hands‑on work with LLMs in production
• Proven fine‑tuning experience (LoRA, distillation, adapters, full fine‑tuning)
• Strong Python and TypeScript/Node.js skills
• Experience deploying custom models end‑to‑end
• Understanding of inference optimization and performance tradeoffs
• Experience with model evaluation and benchmarking

Nice-to-Haves

• ONNX Runtime
• Redis
• WebSockets
• LangChain or similar orchestration tools
• Model optimization and compression techniques
• LLM observability tooling

Ideal Background

• Experience in AI-native product startups (Seed → Series B/C)
• Work in code generation, developer tools, design tooling, or AI automation
• Strong applied experience shipping models to production at speed

How to Apply

If this role aligns with your experience and interests, please reach out with your Resume or LinkedIn profile. I would welcome a confidential conversation to explore whether it’s the right fit.

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

Early-Stage Startup – Full-Time – AI Engineering

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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Senior Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $180-200k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 3+ years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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