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Senior Machine Learning Engineer – GenAI / Agentic AI
Location: United States (Hybrid)

$180,000 – £250,000 base salary + Bonus, RSUs

I am working with a world-leading global brand in financial services and technology, known for shaping markets and setting the standard for innovation for over a century. This firm operates at the highest levels of global finance and is investing heavily in advanced Machine Learning and Artificial Intelligence to transform how large-scale, mission-critical systems are managed.

The Team
You would join an elite ML/AI group within their enterprise technology division. This team applies cutting-edge ML and Generative AI to orchestrate intelligent agents that improve resilience, reduce operational risk, and drive efficiency across one of the most complex infrastructures in the industry. By combining classical ML with agentic AI, they are redefining production management at global scale.

The Role
As a Senior Machine Learning Engineer, you will design and deploy AI-driven agents capable of reasoning, diagnosing, and acting in production environments. This includes:

• Building tool-using AI agents with safety and compliance guardrails

• Productionizing LLMs with retrieval pipelines, evaluation frameworks, and response validation

• Integrating agentic AI into observability, deployment, and incident management systems

• Optimizing scale, cost, and performance of AI systems under real-world load

• Partnering with global engineering teams to deliver measurable business impact

What They’re Looking For

• 7+ years’ experience in ML engineering or applied data science

• Expertise in Python (plus C++, Go, or Java)

• Track record of deploying ML systems at scale

• Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG, tool-calling)

• Cloud-native engineering (AWS preferred) and strong software design fundamentals

Why Apply
This is a rare chance to join one of the world’s most prestigious brands, working at the forefront of AI innovation with unmatched resources, scale, and career development opportunities.

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Director of Agentic Data Infrastructure

Remote USA $250,000 – $300,000 + Bonus

Data Leadership – AI Agents – Operational Intelligence

Are you a hands-on data leader who thrives in fast-paced, high-impact environments? Do you want to build the data infrastructure that powers real-time AI agents, not just dashboards?

A rapidly transforming national services business is looking for a Head of Data & AI Automation to lead the design and delivery of their modern data stack. This is a rare opportunity to shape the data foundation of a company reinventing its operations with AI at the core.

The Company

This US-based company is undergoing a full-scale digital transformation, rebuilding a legacy industry with the speed and ambition of a startup. With AI agents already embedded in routing, pricing, and recruiting, data is not just a support function, it’s the engine.

The Role

As Head of Data & AI Automation, you will:

* Own and evolve the modern data stack (dbt, Snowflake, Fivetran, etc.)

* Ingest and normalize data from fragmented internal and external sources

* Build agent-ready data schemas to power autonomous workflows

* Partner with C-level leadership to deliver real-time insights and automation

* Lead a small, high-performing team of analysts and engineers

Your Skills & Experience

You will be a great fit if you have:

* 7+ years in data, analytics, or engineering roles, with 2+ years in leadership

* Experience in high-volume, operationally complex environments (e.g., logistics, marketplaces)

* Strong technical skills in SQL, dbt, Snowflake, and BI tools

* A deep understanding of how AI agents work, and how to structure data for them

* Bonus: Python, LangChain, or LangGraph experience

Benefits

* Competitive base salary + performance bonus

* Remote-first team with high autonomy

* Full benefits (medical, dental, vision, 401k)

* Direct access to C-suite leadership

* Opportunity to shape the future of a national business through AI

How to Apply

If you’re a builder who wants to lead from the front, and you’re excited about wiring data into real-world AI systems, apply now.

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AI Engineer

Location: New York

Compensation: $180,000 – $220,000 base salary + Equity

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full Benefits: Health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

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Are you a strong software engineer with LLM expertise?
Have you built production-grade systems and want to apply them to GenAI?
Ready to own the build and deployment of AI-powered tools-not just prototypes?

A fast-growing GenAI consultancy is building real-world AI applications for clients across finance, media, energy, and more. With over 50 people and aggressive growth plans, they specialise in deploying LLM-powered tools that solve complex, real-world problems-fast. Projects span agentic systems, retrieval-augmented generation (RAG), edge ML, and full-stack automation.

This role is ideal for a senior software engineer with strong Python skills and a deep interest in AI. You don’t need to be an ML researcher-but you should know how to ship production systems, design APIs, and lead delivery. You’ll join a high-performing technical team and work on projects that go live, not just into slide decks.

Key Responsibilities

• Build and deploy LLM-driven applications and backend services

• Design RAG pipelines, agentic AI systems, and end-user automation tools

• Take projects from prototype to production

• Work closely with clients and cross-functional delivery teams

• Lead junior engineers within project pods

Key Details

• Working model: Hybrid (3 days/week in central London)

• Tech stack: Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIs

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Senior AI Software Engineer
London
£90,000-£130,000

I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making.

Role Responsibilities

As a Senior AI Applied Engineer, you will:

• Build & Deploy AI-Driven Software Solutions
  You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation.
• Own Project-Based Work Across Diverse Domains
  You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients.
• Ensure Scalable and Reliable Deployment
  Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale.
• Act as a Strong Team Contributor and Communicator
  While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities.
• Leverage Generative AI Expertise
  Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery.

Who We’re Looking For

Essential Qualifications & Experience

• Strong software engineering background with deep experience deploying scalable systems
• At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency
• Comfortable with project-based, delivery-focused work, even if no prior consultancy experience
• Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders
• Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role

Ready to Apply?

If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.

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AI Engineer – Remote

We’re hiring an AI Engineer to help design and build cutting-edge AI solutions with a focus on document intelligence. You’ll play a key role in embedding GenAI across the business, starting with tools to support verification teams in extracting and reasoning over complex documents.

This is a hands-on engineering role with a strong focus on LLM-based systems and clean, production-grade Python development.

Responsibilities:

• Build rapid MVPs and evolve them into production-ready services.
• Develop and maintain shared Python libraries with strong architecture, testing, and CI/CD standards.
• Design and deploy LLM-based extraction, RAG, and agent workflows across large document sets.
• Work closely with both technical and non-technical stakeholders.

Required:

• Expert in Python coding
• Solid grounding in software engineering best practices: CI/CD, automated testing, observability.
• Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows).
• Comfortable prototyping quickly (Streamlit, Dash) to test ideas.
• Familiar with MLOps tools like MLflow and model monitoring.
• Strong communicator who can work across teams.

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Senior AI/ML Engineer

UK Based (Remote) – Up to $150,000

Join a leading blockchain analytics platform that combines on-chain data with millions of wallet labels to help investors, institutions, and crypto-native teams make faster, more informed decisions in the decentralised economy.

Responsibilities:

• Lead the design, implementation, and use of AI/ML models to process and analyse blockchain data.
• Collaborate with product managers and engineers to integrate AI/ML models.
• Stay abreast of the latest developments in AI/ML and blockchain technologies.
• Mentor junior engineers and promote best practices in AI/ML development across the team.
• Work closely with cross-functional teams to align AI/ML initiatives with business objectives and customer needs.

Requirements:

• MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Proven experience as an AI/ML Engineer or similar role
• A passion for blockchain, crypto, and Web3 technologies
• An ability to work full-stack with data; some data engineering experience is a big plus
• Strong coding skills in Python
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

Please note that this role does not offer visa sponsorship

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the apply link on this page.

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Research Engineer – Barcelona – English Speaking Required

Stealth Start Up

We are working with a very exciting start-up company that just received pre-seed funding and are looking for a Research Engineer to join their research team with some of the top minds in the industry.

You will be responsible for bridging the gap between science and engineering by adding the necessary engineering layer to the work produced by the scientists. This includes supporting the full lifecycle of machine learning models-from design and implementation to evaluation and deployment-ensuring their work successfully reaches production. Additionally, you’ll play a key role in closing the significant gap between the Science and Infrastructure teams, helping to create smoother collaboration and integration across the organisation.

They are looking for candidates to relocate to Barcelona, with an office right next to the beach!

Requirements:

• PhD in a relevant field
• Python, Pandas, PyTorch, NumPy
• Experience working with text or tabular data
• MLOps
• English speaking

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