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Director of Applied Science – NLP

Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + equity

About the Company

We’re partnering with a forward-thinking financial services company operating in the legal space, dedicated to innovation through AI. This organization is transforming how AI serves financial and legal professionals-making processes smarter, faster, and more accessible. As they scale their product offerings, they’re seeking experienced NLP researchers to help drive novel developments. This is a high-impact opportunity to shape the future of AI in a complex, regulated industry.

About the Role

As a Director of Applied Science – NLP, you’ll be central to designing and building advanced machine learning and large language models (LLMs) specifically for the legal and financial services sectors. You’ll have the opportunity to partner with executive leadership and work across teams to bring cutting-edge AI research into production.

Key Responsibilities:

• Innovative Development: Create original machine learning and LLM solutions tailored to legal contexts and open-source ecosystems.

• Strategic Collaboration: Partner with executive leadership to define and execute technical vision and roadmap.

• Full Lifecycle Ownership: Lead projects from initial research through to deployment, including building platforms from the ground up.

• Team Management: Act as a hands-on people manager for a team of 3-5 Applied Scientists

• Model Optimization: Enhance model performance through prompt engineering, inference tuning, and iterative improvements.

• Knowledge Sharing: Contribute to internal learning and external thought leadership through presentations, mentorship, and community engagement.

• Research & Publications: Develop novel applications with the potential to lead to patents and high-impact research publications.

What We’re Looking For

We’re looking for a skilled, collaborative applied scientist with:

• 7+ years of hands-on experience in NLP, including production-level model development; previous 2 years in a people management position.

• A strong track record in building scalable NLP platforms and working with large datasets.

• Deep proficiency in Python and frameworks such as TensorFlow, PyTorch, NLTK, and spaCy.

• Experience translating research into real-world applications, from idea to deployment.

• Knowledge of state-of-the-art ML techniques related to NLP and LLMs.

• Comfort working in dynamic environments and collaborating across diverse technical and non-technical teams.

• A PhD in a relevant field such as Computational Linguistics, Computer Science, or Statistics is required.

What You’ll Get

• Competitive Salary: $250,000-$275,000 base salary + bonus + equity

• Intellectual Ownership: Opportunity to lead and publish novel research

• Comprehensive Benefits: Health coverage, retirement plans, and more

How to Apply

Please submit your resume to Tim Jonas using the “Apply” link on this page. We look forward to learning more about how your experience and passion can help shape the future of AI in legal and financial services.

Keywords:
Machine Learning | NLP | NLG | NLU | LLM | Large Language Models | AI | Generative AI | Python | TensorFlow | PyTorch | Open-Source | Legal Tech | Financial Services | Research | AI Strategy

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AI Engineer / ML Engineer – CRYPTO – REMOTE

We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML.

They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform’s functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology’s evolution and solidifying the company’s status as a leader in blockchain analytics.

You will need:

• Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability.
• Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience.
• Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges.
• Mentor junior engineers and foster best practices in AI/ML development within the team.
• Collaborate with cross-functional teams to ensure AI/ML projects align with business goals and customer requirements.

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To Apply for this Job Click Here

Data Scientist – Hybrid (Derby)

We are working with a large hospitality company who are looking to add a Data Scientist to their team to work across customer data. The data scientist will be involved in end-end deployment, building propensity, customer segmentation and CLV models to analyse the behaviour of customers and to work closely with marketing to inform decisions.

Responsibilities:

• Partner with the wider IT teams to ensure requirements and solutions are implemented effectively
• Develop a range of data science solutions from statistical models to customer segmentations
• Drive development of data science models and best practices to align with the move towards a data led company#
• Mentor and manage the junior data scientists on the team

The role is one day a week in Burton

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Staff Applied Scientist

Location: Hybrid in New York, New York (open to fully remote)

Compensation: $230,000 – $250,000 base salary + bonus + benefits

About the Company:
We are partnering with a leading financial services company in the legal space, driving innovation through AI. This company is at the forefront of transforming the way AI interacts with financial and legal professionals, creating smarter, faster, and more cost-effective models. As they scale their product, they are looking for leading NLP researchers to focus on novel NLP development. This is an exciting opportunity for someone to have a significant impact on the future of AI in a highly-regulated industry.

THE ROLE

As a Staff Applied Scientist, you will play a crucial role in developing novel machine learning and LLM models tailored for the legal and financial services domain. Your work will directly shape the company’s AI capabilities, and you will report directly to the C-suite.

• Innovate and Build: Develop novel machine learning and LLM models from the ground up, tailored for the legal industry and open-source environments.

• Technical Leadership: Collaborate closely with C-suite executives to define and execute technical direction. You will be integral to decision-making and strategy.

• End-to-End Ownership: From research to production, you will lead the development of Proof-of-Concepts (PoCs) and build out platforms from scratch (0-1 development).

• Model Optimization: Lead efforts to optimize prompts, models, and inference strategies, ensuring continuous improvement and efficiency.

• Thought Leadership: Act as a thought leader in the domain of LLMs, both within the company and the broader AI community. Educate and guide non-technical stakeholders.

• Research Contribution: Own novel models and applications leading to patents and publications in top NLP journals.

YOUR SKILLS AND EXPERIENCE

We are looking for an experienced Staff Applied Scientist with the following qualifications:

• 5+ years of commercial experience in NLP, with a focus on building production-ready language-based models.

• Proven experience in building NLP platforms and working with large datasets.

• Deep expertise in Python (TensorFlow, PyTorch, NLTK, spaCy, etc.) and developing production-grade natural language / information retrieval models.

• A track record of taking models from concept to production, with hands-on experience in research and commercial deployment.

• Familiarity with advanced machine learning techniques for natural language models (NLP / LLMs).

• Comfortable working in fast-paced environments, wearing multiple hats and collaborating with both technical and non-technical teams.

• A PhD in Computational Linguistics, Computer Science, Statistics, or a related field in natural language is required.

THE BENEFITS

• Competitive Salary: Base salary of $230,000 – $250,000.

• Novel Research: Ownership of new applications you build

• Comprehensive Benefits: Full range of health benefits, retirement plans, and more.

HOW TO APPLY

Interested candidates should submit their resume to Tim Jonas via the Apply link on this page. We are eager to hear how you can contribute to the future of AI in legal and financial services.

KEYWORDS:

Machine Learning | Natural Language Processing | Natural Language Generation | Natural Language Understanding | NLG | NLU | LLM | Large Language Models | Artificial Intelligence | Generative AI | Research | Python | TensorFlow | PyTorch | NLP | Open-Source | Legal Tech | Financial Services | AI Platforms | Thought Leader | NLP Strategy

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Staff Data Scientist

Location: San Francisco (Remote Eligible)

Salary: $200K-$230K base + Equity

We’re looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you’ll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment.

What You’ll Do:

• Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization.
• Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact.
• Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring.
• Enhance data infrastructure and analytics capabilities by working closely with data engineers and analysts.
• Translate complex findings into clear recommendations for both technical and non-technical stakeholders.

What We’re Looking For:

• 7+ years of experience in Data Science or Machine Learning in high-growth environments.
• MS/PhD in a quantitative / STEM field (Mathematics, Statistics, Economics, Engineering, Computer Science, etc.).
• Deep expertise in machine learning algorithms, statistical modeling, and feature engineering.
• Proficiency in Python (scikit-learn, numpy, pandas) and SQL.
• Experience with Snowflake and Streamlit is a plus.
• A bias toward simple, effective solutions before adding complexity.
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Thrives in fast-paced, dynamic environments, with a strong sense of ownership and initiative.

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Senior Machine Learning Engineer – Remote

We are looking for a highly skilled Machine Learning Engineer with strong ML Ops expertise to help design, build, deploy, and manage machine learning pipelines in production environments. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning, data engineering, and experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.

Responsibilities:

• Model Development: Design and develop machine learning models to solve complex problems using a variety of algorithms, including supervised, unsupervised, and reinforcement learning techniques.
• ML Ops Implementation: Develop and deploy ML workflows, integrating version control, automation, and monitoring practices to streamline model development and deployment.
• Pipeline Development: Build and maintain end-to-end machine learning pipelines for continuous integration, continuous deployment (CI/CD), and model retraining.
• Automation: Automate model training, testing, and deployment processes, ensuring high levels of efficiency and reliability in production.
• Model Optimisation: Collaborate with data scientists and engineers to optimise models for production environments, focusing on scalability, speed, and resource efficiency.
• Cloud Integration: Utilise cloud platforms (e.g., AWS, Azure, GCP) for model deployment and infrastructure management, ensuring smooth scaling and resource optimisation.
• Documentation: Maintain clear and comprehensive documentation for model workflows, ML Ops processes, and system architectures.

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AI Reliability Engineer

New York Metro Area – Hybrid

$190,000 – $210,000

THE COMPANY

Harnham is currently partnered with a data-driven fintech company that is spreading innovation across the construction industry. Their founding team comes from big tech organizations (LinkedIn, Uber, SpaceX) where they have successfully built and deployed software into the construction space.The ideal candidate will have a proven track record of leveraging machine learning and artificial intelligence to drive business insights and improve operational efficiency and a high level individual contributor.

THE ROLE

We are seeking an AI Reliability Engineer to build robust performance measurement systems for AI models, including retrieval-augmented generation (RAG) and agent-based architectures. This role is ideal for someone passionate about AI validation, system monitoring, and improving model reliability through data-driven insights.

THE RESPONSIBILITIES

• Develop and refine evaluation frameworks to assess AI model performance, focusing on real-world accuracy and reliability
• Build monitoring tools and dashboards that enhance visibility into AI systems throughout development and deployment
• Work closely with cross-functional teams to integrate rigorous testing and validation processes into production workflows
• Identify and resolve performance bottlenecks, ensuring AI systems operate at peak efficiency
• Stay informed on emerging trends in AI evaluation, large language models, and system monitoring to continuously improve assessment methodologies

YOUR SKILLS AND EXPERIENCE

• Advanced degree (MS/PhD) in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• 2+ years of experience in AI or ML system evaluation, focusing on performance analysis and validation
• Hands-on experience with observability tools, analytics platforms, or data engineering pipelines for AI monitoring
• Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Understanding of RAG and agent-based AI workflows, with expertise in measuring and optimizing their performance
• Experience with synthetic data generation or test automation for AI model validation
• Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment

BENEFITS

As an AI Reliability Engineer, you can expect to earn up to $210,000 (depending on experience), highly competitive benefits and equity.

HOW TO APPLY

Please register your interest by sending your Resume to Grace McCarthy via the Apply link on this page

KEYWORDS

AI Evaluation, Model Validation, Machine Learning, Observability, System Monitoring, AI Performance Metrics, RAG, AI Testing, Python, TensorFlow, PyTorch, Data Engineering, Synthetic Data, Large Language Models, Reinforcement Learning, Startup Hiring

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer

$200,000-$220,000

New York Metro Area – Hybrid

We are collaborating with a fast-moving start up focused on developing AI-powered solutions for cloud optimization and automation. Their technology enhances cost forecasting, financial modelling, and multicloud infrastructure management. As they scale, they are looking for top talent to drive innovation and build AI systems that make an impact.

THE ROLE

Seeking a Senior Machine Learning Engineer to play a key role in developing and deploying AI solutions. This is a hands-on, senior-level position for someone with experience building ML-powered products from the ground up. The ideal candidate will work closely with leadership to shape an AI assistant, optimize cloud resources, and implement cutting-edge machine learning techniques.

RESPONSIBILITIES

• Design, build, and deploy machine learning models for cloud automation and optimization
• Work with large language models (LLMs), fine-tuning and integrating them into the platform
• Develop AI-driven, customer-facing solutions to enhance automation and efficiency
• Ensure secure and compliant AI deployments, implementing best practices for AI infrastructure
• Maintain and optimize ML infrastructure across AWS, GCP, and Azure
• Experiment with advanced ML techniques, including model security, evaluation frameworks, and continuous monitoring
• Collaborate with engineering, product, and leadership teams to align AI development with business objectives
• Provide strategic input on AI capabilities and contribute to the company’s overall AI roadmap

YOUR BACKGROUND

• 6+ years of experience
• Strong Python programming skills; experience with Go or SQL is a plus
• Expertise in ML frameworks such as PyTorch, Hugging Face, LangChain, and Llama
• Experience deploying ML models at scale in cloud environments
• Proficiency with Terraform and Git for infrastructure management and version control
• Deep understanding of AI security risks and best practices for secure deployment
• Ability to work in a fast-paced startup environment and take projects from 0 to 1
• Strong analytical background with the ability to interpret complex cost and financial modeling data
• Excellent communication skills, capable of clearly conveying methodologies, solutions, and results to technical and non-technical stakeholders

HOW TO APPLY

If you believe you are a good fit given the above qualifications, send your resume to Grace via the link below.

KEYWORDS

Machine Learning, AI, LLMs, Cloud Optimization, AWS, GCP, Azure, AI Security, ML Infrastructure, AI Chatbots, Terraform, PyTorch, Hugging Face, LangChain, Financial Modeling, Cloud Automation, Startup, Tech Hiring, Data Science, Model Deployment, AI Strategy

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AI Architect

Hybrid – 3 days onsite in NYC

$180,000-$200,000

We are working with an innovative AI startup in New York City that is building AI-powered solutions to make businesses more efficient. They are seeking an AI Architect to lead the design and development of their AI infrastructure. This is an opportunity to shape AI strategy and drive impactful solutions. This company is gaining a lot of traction and is growing fast. This is an exciting opportunity to get in on the ground floor.

Responsibilities:

• Design and oversee AI/ML models, pipelines, and infrastructure

• Evaluate and implement scalable AI frameworks

• Work closely with engineering and product teams to integrate AI-driven capabilities

• Optimize models for performance and efficiency

• Stay ahead of AI advancements and recommend strategic innovations

• Work alongside NLP engineers, Software Engineers, Computer Vision Engineers and Data Scientists

What they are looking for:

• Experience designing and implementing AI/ML architectures

• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX

• Strong understanding of cloud-based AI infrastructure (AWS, GCP, or Azure)

• Experience with LLMs and generative AI

• Proficiency in Python and AI-focused libraries

• Ability to balance research-driven AI innovation with production-grade deployment

How To Apply

This is a great opportunity to join a dynamic, high-growth startup focused on making businesses more efficient through AI. If you are interested, please apply with your resume or reach out for more information.

Keywords

AI/ML architecture | Deep learning | Large Language Models (LLMs) | Generative AI | Natural Language Processing (NLP) | AI model optimization | Scalable AI solutions | Cloud computing (AWS, GCP, Azure) | AI governance and ethics | Kubernetes and Docker | Python and AI libraries |

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Engineer

$220,000 – $260,000 (Base + Bonus)
Remote (NYC preferred, hybrid available)

About the Company

Imagine a future where AI doesn’t just assist in marketing-it drives it. That’s what we’re building.

Our client is leading the transformation of AI-powered marketing, helping global brands optimize ad spend, automate decision-making, and scale effortlessly. Backed by a world-class ML and Data Science team, we’re evolving beyond a traditional agency into a full-stack AI powerhouse, delivering cutting-edge solutions in LLMs, Diffusion Models, and predictive analytics.

If you want to work on AI that makes a measurable impact-think billions in ad spend optimized in real time-this is where you want to be.

The Role

We’re looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale. You’ll be working with LLMs, Diffusion Models, and advanced predictive analytics to optimize ad performance, automate campaigns, and solve complex problems in marketing AI.

This is a hands-on role where you’ll collaborate with top engineers, data scientists, and product leaders to ship real AI solutions-fast.

What You’ll Do

• Develop and fine-tune LLMs, Diffusion Models, and predictive ML models to optimize ad performance.
• Design and deploy scalable AI solutions that automate campaign creation, optimization, and decision-making.
• Collaborate cross-functionally to integrate AI-driven automation into marketing systems.
• Work in a high-impact, fast-moving environment where your models go live and deliver real results.
• Solve complex challenges at the intersection of AI, advertising, and automation.

What You Bring

• Proven experience in ML/Data Science-no strict degree requirements, just real-world expertise.
• Strong experience with Python, TensorFlow, PyTorch, and model deployment.
• Background in LLM fine-tuning, diffusion models, and predictive analytics.
• Experience shipping ML products at scale-bonus points if you’ve done it at a FAANG or top AI-driven company.
• Preference for NYC-based candidates (4 days/week in office), but remote-friendly for the right fit.

The Perks

• Unlimited vacation
• Monthly telephone stipend
• Comprehensive medical, dental, and vision insurance
• 401(k) with matching
• Hybrid work option (NYC preferred)
• Professional development stipend
• Seamless meal allowance

How to Apply

Ready to build AI that transforms marketing? Send your resume to Cassie Wandell via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Science Consultant – IoT, Energietransitie

Amsterdam, Eindhoven, Zwolle, Arnhem

Over het bedrijf:

Onze opdrachtgever heeft een strategische focus op energie & duurzaamheid. Zij zetten consultants in bij dynamische klanten die werken aan innovatieve oplossingen binnen de energietransitie en de vitale infrastructuur. Hierin werken zij aan projecten die maatschappelijke impact maken. Binnen het team hebben zij een gevarieerde mix van data en software professionals die een hoge technische expertise in huis hebben. Binnen de organisatie zijn de lijntjes kort, wat ervoor zorgt dat zij snel in staat zijn om te schakelen en kennis met elkaar delen. Hierin speelt ook de vitaliteit van medewerkers en duurzame mobiliteit een belangrijke rol. Denk aan elektrisch rijden, reizen met het OV en de bijdrage aan kennisontwikkeling op bijvoorbeeld scholen.

Over de rol:

Als Data Scientist zul je Businesstoepassingen analysieren en datasets analyseren, complexe data inzichtelijk maken in dashboard of ander relevante inzichten. Bovendien zal je bruikbare Machine Learning & AI modellen creëren, zodat je met Data Science of Data Analyse toegevoegde waarde kan leveren door het verschaffen van nieuwe inzichten. Daarnaast krijg je met jouw overtuigingskracht en enthousiasme je omgeving mee op het gebied van data analytics.

Ervaring en kwalificaties:

• Je hebt minimaal 3-4 jaar werkervaring in Data Science, Machine Learning, Data Mining en deployment en optimalisatie van voorspellings- & scenariomodellen.
• HBO of WO afgeronde opleiding en relevante jaren ervaring (medior & senior niveau) in Wiskunde, Econometrie, Business Analytics, AI of een vergelijkbare opleiding. Of aantoonbaar door ervaring als Data Scientist gekregen.
• Je hebt kennis en ervaring met codingtools zoals bijvoorbeeld SQL en met R en/of Python.
• Je hebt kennis van data analytics tools, visualisatie en deep & machine learning
• Je kunt inzicht geven vanuit ruwe datastructuren en dat communiceren in begrijpbare taal, storytelling met data.
• Je hebt goede analytische vaardigheden
• Je bent niet bang om initiatief te nemen
• Beheersing Nederlands & Engels

Wat kun je verwachten als Data Science Consultant?

• Werken in een gemotiveerd team met ervaren professionals
• De mogelijkheid om in het boeiende energiedomein het verschil te maken
• Innovatieve opdrachten op het snijvlak van business en IT
• Een organisatie met de ambitie om marktleider te worden op het gebied van IoT in de kritische infrastructuur.
• Ondernemende omgeving waar jouw persoonlijke ontwikkeling belangrijk is.
• Een carrièrepad in data science met daarin doelgerichte training en coaching.
• En natuurlijk aantrekkelijke arbeidsvoorwaarden.
• Wij werken volgens onze cultuurwaarden: korte communicatielijnen, informeel, ruimte voor innovatie, passie voor techniek, flexibel, ondernemend en hechte samenwerking. Dit vertaalt zich natuurlijk in een prettige werksfeer in een snel veranderend energielandschap. Er liggen concrete uitdagingen.

Wil je meer leren of denk je dat jij een goede match bent voor deze rol? Meld je aan via de solliciteer knop of stuur een bericht naar Sasha Rabbani!

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