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Senior AI Engineer

London – 1-2x week in office

Salary: £80,000 – £90,000

This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform.

The Company

They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth.

The Role

In this AI Platform Engineer role, you will:

* Design, build and operate AI‑first products that deliver measurable value.

* Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs.

* Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards.

* Integrate AI agent functionality with applications through MCP servers and reliable tool configurations.

* Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP.

* Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration.

Your Skills and Experience

To be successful, you will bring:

* Strong Python skills for backend services, SDKs, API development, authentication and testing.

* Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design.

* Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK.

* Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery.

* Solid DevOps practices including CI/CD, Docker, observability and automated testing.

* A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics.

What They Offer

* Opportunities to shape AI products from the ground up.

* A collaborative environment that encourages innovation and career progression.

How to Apply

If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

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Principal AI Engineer – South West London (1-2 days a week)

GCP REQUIRED

We are working with a growing, tech-driven insurance company looking for an AI Engineer to help build and deploy production-grade AI systems. You’ll play a key role in shaping AI‑first products, developing end‑to‑end agents, and creating robust evaluation and monitoring frameworks.

Responsibilities:

• Build and operate AI-powered products that deliver measurable outcomes.
• Develop production-ready AI agents on GCP, including secure API integrations.
• Integrate agent capabilities into applications using MCP servers and supporting tools.
• Develop reliable RAG pipelines, including ingestion, chunking, metadata and vector search.

Required:

• Strong Python skills for backend, APIs, testing and async patterns.
• Practical experience with LLMs, embeddings, prompt/function calling and vector databases.
• Solid knowledge of GCP services (Vertex AI, BigQuery, Cloud Run/Functions) and Google’s ADK.
• Experience with document processing, text normalisation and storage systems (Postgres, Redis, GCS/BigQuery).
• Familiarity with DevOps practices: Git, CI/CD, Docker, observability and automated testing.
• A product-focused mindset and the ability to translate needs into intuitive AI workflows.

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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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Partner – Head of AI & Strategy (Boutique Consultancy)

REMOTE – East & Central US

$400,000 – $600,000 OTE + Equity

We’re supporting a boutique global advisory firm that is expanding its US AI & Data Strategy practice. This is a rare opportunity to build a business from the ground up while leveraging an established international brand and existing enterprise relationships.

This role is suited to someone who combines commercial leadership, AI/Data strategy expertise, and a strong track record of originating new business with the C‑suite.

What you’ll be doing

• Launching and scaling the firm’s US AI & Data practice
• Owning revenue generation and closing transformational AI/Data programs
• Building and deepening C‑level relationships (CEO, CIO, CDO, COO)
• Defining US go‑to‑market strategy and identifying priority verticals
• Establishing credibility in the US AI strategy ecosystem
• Potentially hiring and shaping the early US team over time

What they’re looking for

• 8+ years in strategy consulting within Data/AI transformation
• Proven revenue ownership and ability to build a book of business from zero
• Strong experience selling to senior executives
• US‑based: East Coast or Central time zones
• Someone entrepreneurial who thrives without heavy corporate structure

Why this role

• First US Partner hire with genuine autonomy
• High financial upside + equity
• Ability to shape a national practice and own market strategy
• Direct exposure to senior global leadership

HOW TO APPLY

If you want to build and lead a high‑impact AI strategy practice in the US market, apply today.

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AI Engineer
London, hybrid working (2-3 days per week in the office)
Up to 80,000 base plus 10 percent bonus and benefits

If you want to build meaningful AI products, work with modern tooling, and shape how a fast‑growing consumer brand uses data, this role gives you the autonomy, variety, and technical challenge to step up and make visible impact.

The Company

They are a high‑growth consumer brand with a strong digital presence and millions of active users. Their success has been driven by innovative tech, data‑driven decision making, and a commitment to enhancing customer experience through personalisation. You will join a business that invests heavily in AI and gives engineers the space to deliver production‑ready solutions that genuinely move the needle.

The Role

As an AI Engineer, you will work across GenAI and traditional ML, delivering end‑to‑end solutions that improve both customer experience and internal operations.
Key responsibilities include:
* Building GenAI features for customer‑facing products, including conversational and visual experiences.
* Applying LLMs to internal automation projects that unlock significant time savings across the business.
* Engineering scalable pipelines and services for supervised and unsupervised ML models, including recommenders, forecasting, and segmentation.
* Collaborating closely with data scientists, engineers, and product teams to design and deploy production‑ready solutions.
* Working within a cloud‑native environment and contributing to a modern AI and ML engineering stack.

Your Skills and Experience

* Strong commercial experience with Python and familiarity with cloud‑native development, ideally GCP.
* Ability to explain technical concepts clearly and work collaboratively with non‑technical teams.
* Experience applying AI or ML in real product or workflow settings.
* Solid understanding of core ML engineering principles and production best practices.
* A STEM degree and a genuine interest in AI innovation.
* Comfortable working in an environment where you have autonomy but also clear processes to follow.

What They Offer

* Up to 85,000 base salary plus 10 percent bonus.
* Hybrid working with flexibility; Thursdays on site are required.
* A benefits package including product discounts, wellbeing perks, life assurance, and additional lifestyle rewards.
* A role where you will work across GenAI, deep learning, MLOps, and recommender systems.
* The chance to have a significant impact in a lean, high‑performing team during an exciting growth phase.

How to Apply

If you are interested in this AI Engineer role, please apply with your CV and we will be in touch.

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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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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 AI/ML Engineer

Fully Remote
Competitive salary between 130,000 to 150,000 USD base salary (paid in GBP) + equity + bonus
No sponsorship available

A standout opportunity to join a high‑growth technology business building advanced AI features into a market‑leading analytics platform. This role is ideal for someone who loves end‑to‑end machine learning, enjoys experimenting with the latest AI and LLM tools, and wants to work in a fast‑moving product environment where models directly impact customers.

The Company

They are a well‑funded, fully remote, product‑led technology organisation operating in a highly data‑rich domain. Their platform provides deep analytical insights to help customers discover opportunities, make informed decisions, and protect their portfolios. With strong backing, global reach and an ambitious roadmap, they are investing heavily in AI and expanding their senior engineering capability. The culture values transparency, speed, curiosity, ownership and simplicity.

The Role

You will join a small, senior team focused on building AI‑powered features that sit at the heart of the product.

Your work will involve

• Creating and scaling machine learning models across large and complex datasets
• Conducting high‑quality exploratory data analysis and shaping modelling approaches
• Working end‑to‑end across data, modelling, evaluation and integration with engineering
• Experimenting with new AI and LLM tooling to influence the product roadmap
• Contributing to labelling, behaviour modelling and intelligence features
• Collaborating closely with product and engineering to ship AI features that drive real customer value

Your Skills and Experience

• Strong commercial experience in Python for data science and machine learning
• Confidence working end‑to‑end across the ML lifecycle, including EDA and best‑practice DS methodology
• Experience or interest in GCP
• Genuine interest in the crypto, blockchain or financial data space
• Curiosity for modern AI and LLMs, with evidence of experimentation or personal projects
• Comfortable working in product‑focused environments and contributing to engineering‑ready solutions
• Start‑up experience is beneficial; consultancy backgrounds are less suited to this role

What They Offer

• Competitive salary between 130,000 to 150,000 USD base salary, paid in GBP
• Performance‑based bonus
• Equity with a four‑year vesting schedule
• Fully remote working, with once a year meetups across EMEA and APAC
• A high‑impact role in a growing AI team with strong technical leadership

How to Apply

If you are excited by the opportunity, please apply with your CV or email me at

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AI Engineer

London, hybrid, three days onsite

Salary up to £85000.

This is an opportunity to join a newly built AI function within a global digital transformation consultancy. You will help shape innovative AI solutions for high profile clients while working alongside experienced architects and technical leaders in a team that is being heavily invested in.

The Company

They are an established global consultancy providing technology and data transformation services across a wide variety of industries. With operations spanning multiple continents, they partner with organisations to solve complex data challenges and to accelerate AI adoption. They are expanding a specialised team dedicated to delivering AI solutions for clients in the audit domain, with significant long term growth planned.

The Role

* Implement AI agent solutions designed by the architecture team.

* Build and deploy production grade models using Python, ML and NLP techniques.

* Work with modern LLMs including GPT, Llama, Claude and Mistral.

* Contribute to solution development while learning best practice from senior engineers and architects.

* Collaborate closely with client facing teams and technical leads as part of a multidisciplinary delivery function.

Your Skills and Experience

* Strong practical experience with Python for machine learning or NLP.

* Hands on exposure to modern LLMs and ability to work with models such as GPT, Llama, Claude or Mistral.

* Understanding of how to implement AI solutions rather than build foundational models.

* Ability to work collaboratively and contribute to end to end solution delivery.

What They Offer

* Salary up to 85000 depending on experience.

* Hybrid working, three days in the office.

* The chance to grow quickly in a newly established AI engineering capability.

* Access to industry leading expertise, tooling and enterprise scale AI projects.

How to Apply

Please apply with your CV and a consultant will be in touch.

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