ORLANDO data & ai RECRUITMENT

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Senior Machine Learning Engineer

New York, New York

$190,000-210,000 base salary + bonus + benefits

Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Senior Machine Learning Engineer will likely have the following skills and experience:

• 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
• Experience working in a fast-moving organization is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in financial services, investment or private equity a plus
• History of partnering with non-technical stakeholders required
• Experience as a player/coach or manager for AI teams preferred
• PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture

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PRINCIPAL DATA SCIENTIST – GENERATIVE AI SYSTEMS

$200K-$235K BASE SALARY + BENEFITS

REMOTE ROLE – U.S. BASED

Are you looking to design and deploy next-generation Generative AI systems that power real products at scale?

THE COMPANY

This global learning technology leader is transforming how students and educators interact with digital content through advanced AI and data-driven innovation. They’re expanding their data science organization to accelerate AI strategy and build intelligent systems that improve both customer-facing experiences and internal operations.

THE ROLE

As a Principal Data Scientist, you’ll serve as a senior individual contributor driving end-to-end development of production-ready Generative AI systems. You’ll lead the architecture and implementation of Retrieval-Augmented Generation (RAG) and multi-agent frameworks, partnering closely with engineering to bring prototypes into production.

KEY RESPONSIBILITIES

• Designing, prototyping, and deploying scalable GenAI systems that generate and synthesize content.
• Architecting orchestration pipelines across varied data assets.
• Owning AI solution design and influencing technical direction across product teams.
• Collaborating with cross-functional partners to define strategy and ensure production excellence.
• Operating independently in a high-trust, innovation-driven environment.

YOUR SKILLS AND EXPERIENCE

• Proven experience building and deploying production-grade Generative AI systems (RAG, orchestration, or multi-agent)
• Strong hands-on Python development skills
• Experience with LangChain / LangGraph in production environments
• Cloud experience (AWS or Azure)
• PhD preferred, with 5+ years of post-PhD industry experience

THE BENEFITS

• $200K-$235K base salary (depending on experience and technical depth)
• Fully remote role within the U.S.
• Opportunity to define AI architecture and shape product strategy at an enterprise scale

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DATA SCIENTIST / SENIOR ANALYST

UP TO £80,000
HYBRID – 3X A WEEK IN LONDON

ABOUT THE BUSINESS

This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK’s transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of the UK, this business is scaling rapidly to meet rising demand for accessible, reliable EV infrastructure. Backed by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide.

THE TEAM

You’ll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning data into actionable insight.

This is a collaborative environment where data is central to decision-making – the executive team are highly engaged and see analytics as critical to the company’s success. You’ll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK.

THE ROLE

This is a hands-on analytical role focused on understanding customer behaviour, usage patterns, and network performance to drive smarter, data-led decisions. It’s ideal for someone who enjoys end-to-end analysis and translating complex data into clear business recommendations.

Key projects include:

• Analysing where to launch new charging points and assessing site performance
• Understanding user behaviour and segmentation – who’s charging, when, and how often
• Developing models to optimise pricing based on time of day and usage patterns
• Building dashboards and reports to monitor operational and commercial KPIs
• Supporting strategic planning as the business expands across the UK

SKILLS & EXPERIENCE REQUIRED

• Strong SQL and Python skills
• Experience with data visualisation tools (Power BI preferred, but flexible)
• Proven background in analytics or data science, ideally in a commercial or operational context
• Exposure to predictive modelling, segmentation, or pricing analytics
• Ability to work independently and communicate insights clearly to non-technical stakeholders

WHY APPLY?

• Play a central role in shaping analytics for one of the UK’s most exciting greentech scale-ups
• Hybrid working with modern offices near Monument, London
• High-impact projects directly influencing nationwide EV charging strategy
• Work with a data-driven leadership team that values innovation and insight

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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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The Role

The client is a global financial services leader seeking a Lead AI Engineer to spearhead the design and deployment of agentic AI solutions that will be adopted across the entire company. This role blends hands-on engineering with strategic leadership in a highly skilled team to deliver AI systems that operate across complex cloud environments and impact business lines globally.

Key Responsibilities

• Build and deploy enterprise-grade AI/ML solutions (LLMs, agentic AI) in production
• Lead teams developing systems that handle millions of transactions securely and efficiently
• Architect solutions in the cloud with a focus on scalability, performance, and cost reduction
• Collaborate across business and engineering functions to ensure adoption and measurable impact
• Mentor and guide junior engineers and data scientists in best practices for enterprise AI deployment

Ideal Candidate:

• 8+ years of commercial experience with ML models
• Proven track record of deploying LLMs or advanced ML systems in enterprise production
• Strong background in large-scale consumer-facing applications or enterprise AI systems
• Blend of ML engineering + system design skills (not purely research or purely SWE)
• Experience with cloud-native AI deployments (AWS, GCP, or Azure)

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Senior Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $250,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $200,000 – $250,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive 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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Machine Learning Engineer, LLM (Applied AI/NLP)

Location: New York (Hybrid)

Compensation: $180K-$220K base + equity + bonus

About the Company

Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.

The Role

Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.

Key Responsibilities

• Build and fine-tune LLMs for developer-focused use cases
• Optimize models using prompt engineering, RAG, and inference techniques
• Collaborate across teams to align AI capabilities with product goals
• Mentor junior ML engineers and contribute to internal innovation

What You’ll Bring

• 2-8 years in applied NLP/LLM development
• Strong Python and ML stack (PyTorch, HuggingFace, etc.)
• Experience with large code/text datasets and transformer models
• Advanced degree in CS, AI, or NLP (PhD preferred)
• Bonus: Publications in top-tier ML/NLP conferences

Why Join?

• Competitive pay + equity + bonus
• Direct impact on product innovation and IP
• Full benefits: health, vision, dental, 401(k), generous PTO

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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Machine Learning Engineer II (RECOMMENDATION SYSTEMS & PERSONALIZATION)

SAN FRANCISCO BAY AREA – HYBRID (3 DAYS/WEEK IN-OFFICE)

$150,000 – $200,000 BASE + EQUITY + BENEFITS

About the Company

This is a major consumer-facing tech company that runs a large online platform where millions of people shop, share, and connect. With tons of user data flowing in daily, the company is focused on using machine learning to improve product discovery, make the user experience more personalized, and build smarter tools for their marketplace. They’re growing fast and investing heavily in AI to power their next chapter.

About the Role

We’re looking for a senior machine learning expert to work on projects that directly shape what users see and interact with. In this role, you’ll help design and deploy the models behind recommendations, personalized feeds, search relevance, and pricing. You’ll also guide experiments to improve business outcomes and collaborate closely with engineers and product leaders to bring your ideas to life.

This is a hands-on technical role that’s perfect for someone who enjoys solving real-world problems with advanced modeling and working at scale.

What You’ll Do

• Design and deploy machine learning models for personalization, search, and pricing.
• Work across the full ML lifecycle: from exploring data and building models to deploying and improving them.
• Partner with cross-functional teams to integrate models into the product.
• Stay up to date on emerging ML tools and techniques-and help bring them into the business.

What We’re Looking For

• 2+ years of hands-on experience building machine learning models in production.
• Deep experience with recommendation systems, personalization, or marketplace optimization.
• Background in deep learning (e.g., CNNs, Transformers, Vision Transformers).
• Solid coding skills in Python, SQL, and Spark (PySpark or Scala).
• Familiar with frameworks like PyTorch or TensorFlow.
• Clear communicator-able to explain complex topics to both technical and non-technical teammates.

Nice to Have

• Experience in large-scale consumer tech or marketplaces.
• Familiarity with large language models (LLMs), RAG, or fine-tuning techniques.
• Background in computer vision or user behavior modeling.
• Experience mentoring or leading projects.

Why It’s a Great Opportunity

You’ll work on products that touch millions of users every day and have a real business impact. The team values technical excellence and gives you the space to lead projects end-to-end-from ideas to implementation. You’ll also get to explore the latest in AI and collaborate with a supportive, ambitious group of people. If you like ownership, innovation, and using machine learning to drive results, this is the role for you.

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Staff Machine Learning Engineer

Remote- USA

$180,000-225,000+ Equity

We are seeking a Staff Machine Learning Engineer to help design, build, and deploy advanced AI systems for financial technology applications. In this role, you will work end-to-end on machine learning projects , from research and experimentation to production deployment, with a focus on creating secure, scalable, and high-performing generative AI solutions.

This is a hands-on role where you’ll contribute directly to building models, pipelines, and workflows that power intelligent, personalized financial experiences.

What You’ll Do:

• Develop and fine-tune large language models (open-source and proprietary) for tasks such as reasoning, summarization, and multi-turn dialogue.
• Build advanced Retrieval Augmented Generation (RAG) pipelines, including query rewriting, embedding fine-tuning, hybrid search, reranking, and knowledge graph integration.
• Create AI-driven agentic workflows that automate financial tasks, enable co-pilot systems, and support human-in-the-loop collaboration.
• Apply reinforcement learning methods (e.g., PPO, DPO, GRPO) to optimize and improve model performance.
• Implement evaluation frameworks and define metrics for model quality, efficiency, and reliability.
• Deploy models into production environments, ensuring scalability, low latency, and robustness.
• Collaborate with product managers and engineers to integrate ML components into real-world fintech applications.

What You’ll Bring:

• 6+ years of experience in applied ML/AI engineering (post BS/MS).
• Experience delivering generative AI products with LLMs at their core.
• Hands-on expertise in LLM fine-tuning (e.g., LoRA), inference frameworks (e.g., vLLM), and RAG architectures.
• Strong foundation in reinforcement learning and experience applying RLHF or similar methods.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Familiarity with modern data and ML infrastructure, including cloud-based deployment.
• Ability to adapt quickly in dynamic environments and deliver high-quality solutions.

Why This Role:

• Work on high-impact projects that shape the future of financial services through AI.
• Contribute to cutting-edge ML applications in a fast-paced, innovative fintech environment.
• Collaborate with experienced engineers and data scientists on applied generative AI.
• Be part of a culture that values experimentation, technical depth, and continuous growth

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