ML DEPLOYMENT
TALENT SOLUTIONS
Our recruitment expertise is specifically tailored for Machine Learning Deployment jobs, recognizing the critical importance of these positions in the successful operationalization of machine learning models. We focus on sourcing professionals who are skilled in navigating the complexities of deploying ML models efficiently and effectively in production environments.
Leveraging our global presence, Harnham has access to a diverse and extensive machine learning and data talent pool, enabling us to find data candidates with the specific skill sets required for Machine learning Deployment jobs. Our local market insights across key regions ensure that we provide candidates who not only meet the technical qualifications but also align with your company’s cultural and operational dynamics.
WHY
HARNHAM?
Our deep-rooted experience in data recruitment positions us as the go-to authority in sourcing talent for ML Deployment roles, ensuring we connect you with candidates capable of transforming your machine learning initiatives into successful, scalable solutions.
We prioritize a deep understanding of your organization’s unique ML Deployment needs, enabling us to deliver precisely matched talent solutions, aligned with your specific technical and strategic requirements.
Harnham’s team of hundreds of recruitment specialists across key global locations brings unparalleled staffing solutions, tailored to the specific needs of your organization, irrespective of the industry.
OUR
SERVICES
- Permanent Recruitment: We identify long-term talent for your ML Deployment team, focusing on professionals who can integrate and grow with your organizational goals.
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- Contract Recruitment: Our contract recruitment services provide the agility to meet your immediate ML Deployment needs with highly skilled temporary professionals.
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- Customized Talent Consulting: We offer bespoke talent consulting services, including talent mapping, market analysis, and strategic workforce planning, to optimize your recruitment strategy and build a robust ML Deployment team.
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Contact us today to discover how our specialized services can help you build a high-performing ML Deployment team and drive your organization's success in the machine learning domain.
JOBS
LATEST mL deployment
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Staff Data Scientist, GTM
remote
$180000 - $210000
+ Data Science & AI
PermanentNorthridge, California
To Apply for this Job Click Here
Role Title: Staff Data Scientist, Go-To-Market
Compensation: $180,000 – $210,000 USD Base
Location: United States (Remote)
The Opportunity
We’re partnering exclusively with a fast‑growing B2B SaaS company to hire a Staff Data Scientist who will play a central role in shaping how data drives customer growth, retention, and revenue strategy. The business is at an inflection point, intentionally moving from descriptive analytics toward predictive, model‑driven decision making across its go‑to‑market organization.
This is a rare opportunity to step into a high‑impact, senior individual contributor role where the models you build directly influence how teams prioritize accounts, engage customers, and allocate resources.
About the Role
The team is looking for a Staff Data Scientist who can operate across two complementary problem spaces. The first is predictive customer analytics: building robust models for churn, retention, expansion, and early‑lifecycle lifetime value. The second is stakeholder‑embedded problem solving: translating ambiguous commercial questions into scalable data science solutions that teams actually use.
This role is intentionally hands‑on and model‑heavy. You’ll own work from problem framing and feature discovery through model development, validation, and production handoff. While you won’t manage people, you’ll be expected to lead technically, mentor teammates, and help set the standard for applied data science. This is a US‑remote role with regular collaboration across commercial teams.
What You’ll Be Doing
- Design, build, and iterate on predictive models for customer churn, retention, and expansion
- Develop early‑signal frameworks to estimate customer lifetime value well before traditional cohort analysis
- Build customer segmentation models that inform prioritization and targeting across go‑to‑market teams
- Partner closely with Customer Success, Account Management, and Marketing to translate ambiguous questions into modeling solutions
- Incorporate uplift and attribution concepts to connect customer actions and interactions to expected outcomes
- Validate model performance, monitor outcomes, and continuously improve prediction quality
- Collaborate with data engineering to support batch deployment and operationalization of models
- Mentor analysts and peers on modeling approaches, feature engineering, and best practices
What They’re Looking For
- 6+ years of experience in data science with ownership over impactful machine learning projects
- Strong experience building models for churn, retention, customer lifetime value, or segmentation
- Advanced proficiency in Python and SQL
- Demonstrated experience deploying machine learning models into production or operational workflows
- Solid understanding of B2B SaaS business models and sales cycles
- Ability to communicate complex model outputs clearly to non‑technical stakeholders
- Proven ability to operate independently, owning problems end‑to‑end in ambiguous environments
Nice to Have
- Exposure to analytical engineering or ML production architecture
- Experience working alongside data engineering teams on model deployment
- Familiarity with causal inference or marketing effectiveness modeling
- Comfort using modern developer tooling to accelerate modeling workflows
-
Seniority Level
Mid-Senior level
-
Industry
- Software Development
- IT Services and IT Consulting
-
Employment Type
Full-time
-
Job Functions
- Engineering
- Information Technology
-
Skills
- Data Science
- Statistics
- Machine Learning
- Java
- Software Development
- Data Analytics
- Data Analysis
- Analytics
- SQL
- Algorithms
- Python (Programming La
To Apply for this Job Click Here
Staff Data Scientist
New York
$230000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Data Scientist
Location: New York City (Hybrid)
Compensation: Up to $250,000 base + bonus + equity
Company Overview
A high-growth consumer fintech and e-commerce platform is building the credit infrastructure powering digital commerce in a large, underserved market. The business has reached profitability, processes hundreds of millions in annual transaction volume, and continues to scale rapidly with strong backing from top-tier investors.
The team is lean, highly technical, and composed of leaders from globally recognized technology and marketplace companies. This is an opportunity to join at a pivotal stage and directly influence core revenue-driving systems.
The Role
As a Staff Data Scientist, you will play a critical role in developing and deploying machine learning models that directly impact the company’s P&L. You’ll work across credit risk, pricing, and marketplace optimization problems, owning the full lifecycle from problem definition through to production.
This is a highly cross-functional role partnering with engineering, product, and leadership to drive data-informed decisions and scalable modeling solutions.
Key Responsibilities
- Build and deploy machine learning models for underwriting, credit risk, and portfolio optimization
- Develop pricing, ranking, and personalization algorithms to improve marketplace performance
- Apply causal inference and experimentation techniques to optimize decision-making
- Own projects end-to-end: from exploratory analysis and modeling through to production deployment
- Translate complex modeling outputs into clear business insights and recommendations
- Collaborate closely with engineering and product teams to operationalize models
Requirements
- 5+ years of experience in data science or machine learning in a production environment
- Strong foundation in statistical modeling and machine learning (e.g., classification, ensemble methods)
- Experience deploying models into production and iterating based on real-world performance
- Proficiency in Python and SQL
- Experience with experimentation, causal inference, or uplift modeling
- Strong problem-solving skills with the ability to operate in ambiguous, fast-paced environments
Preferred Background
- Advanced degree (PhD or Master’s) in a quantitative field such as Statistics, Mathematics, Economics, or Operations Research
- Experience in fintech, lending, or credit risk modeling
- Exposure to marketplace, pricing, or recommendation systems
- Familiarity with optimization techniques and constrained modeling problems
What Makes This Opportunity Unique
- Direct ownership of models that impact revenue and risk
- High visibility role working closely with senior leadership
- Fast-paced, startup environment with significant autonomy
- Opportunity to shape core data science strategy and systems
- If you’re excited by building high-impact machine learning systems in a fast-moving environment and want to see your work directly drive business outcomes, this is a unique opportunity to do so at scale.
To Apply for this Job Click Here
Senior Data Scientist
Manchester
£70000 - £90000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Scientist
Manchester (2 days on site)
A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.
The Company
They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.
They process billions of data rows weekly to prevent wasteful and fraudulent traffic.
Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.
The Role
* Deliver full lifecycle AI and ML projects from prototype to production.
* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.
* Work with large and messy tabular datasets to create high‑impact models.
* Develop classification and optimisation approaches to enhance customer outcomes.
* Partner with Product and Engineering to integrate models into the platform.
* Lead the transition toward a more AI‑driven product ecosystem.
Your Skills and Experience
* Strong commercial experience deploying AI and ML systems into production.
* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.
* Confident working with large‑scale tabular datasets and complex data environments.
* Cloud experience, ideally AWS, plus familiarity with MLOps practices.
* Background in product‑focused environments or consultancy.
* Ability to evidence measurable business impact from previous technical projects.
What They Offer
* Hybrid working with two office days weekly.
* High levels of ownership across AI strategy and delivery.
* Opportunity to build the company’s first production AI systems.
* Collaborative culture within a scaling SaaS environment.
* Clear progression as the AI function grows.
How to Apply
To register your interest, please apply with your CV.
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London Hybrid (2 days x week)
This is an opportunity to join a growing Data and AI business building production grade machine learning and LLM driven products for financial services and trading environments. The role offers exposure to both proprietary software and consultancy led problem solving, with real ownership over models that move into live use rather than staying at proof of concept stage.
The Company
They are a well established Data and AI organisation that has been operating successfully for several years, combining proprietary tooling with consultancy expertise. Their products support data driven decision making across financial services, including advanced analytical assistants and conversational AI solutions. The business is technically led, collaborative, and focused on building high quality, scalable machine learning systems.
The Role
You will work as part of a close knit data science team, contributing to the design, development and deployment of machine learning and LLM based solutions.
Responsibilities include:
- Designing and building machine learning models used by trading and financial services clients.
- Developing NLP and LLM powered chat engines that surface insights and factual answers from complex data.
- Fine tuning deep learning and large language models, including extraction and parameter optimisation.
- Working end to end on models that are taken through to production rather than remaining as prototypes.
- Contributing to products such as data assistance tools, website chatbots and analytical AI platforms.
Your Skills and Experience
- Hands on experience building and deploying machine learning models end to end.
- Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning.
- Understanding of production grade ML workflows and CI CD principles.
- Experience building chatbots or NLP driven chat engines used in live environments.
- Comfortable working independently and taking ownership of complex problems.
What They Offer
- Hybrid working with two days per week in a London office.
- Remote flexibility for candidates based in the North, with office visits around twice per month.
- The chance to work on impactful AI products used in real commercial and trading environments.
- A supportive team structure with senior mentorship and clear technical progression.
How to Apply
If you are a Senior Data Scientist looking to work on production level ML and LLM solutions within financial services, apply now to find out more.
To Apply for this Job Click Here
Staff AI Engineer
$200000 - $600000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
Director of AI
Los Angeles
$230000 - $400000
+ Data Science & AI
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior AI/ML Engineer – Foundation Models & Agentic AI
Life Sciences AI | Biotech / Therapeutics / Computational Biology
What You’ll Work On
- Develop and train proprietary foundation models on multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
- Design novel algorithms to integrate and differentiate across omics modalities
- Own the full training pipeline: data ingestion, tokenization, pretraining, and evaluation
- Push the state of the art – we are building models that do not exist yet
Agentic AI for Life Sciences
- Build and deploy AI agents that assist researchers across therapeutic development, computational chemistry, and biology
- Design multi-agent architectures using LangChain, LangGraph, and custom orchestration layers
- Integrate agents with internal databases, experimental systems, and third-party scientific tools
- Develop agentic workflows for use cases in cosmetics R&D, drug discovery, and clinical analysis
Production ML Infrastructure
- Own model deployment, scaling, and serving infrastructure
- Optimize inference using NVIDIA TensorRT-LLM, Dynamo, Triton, and related tooling
- Partner with software engineering on integration into our broader platform
- Maintain reliability, performance, and observability across deployed models
What We’re Looking For
Required
- Strong hands-on ML/AI engineering experience – you write real code, not just direct others
- Deep proficiency in Python and PyTorch – this is non-negotiable
- Experience training, fine-tuning, and deploying foundation models from scratch or from pretrained checkpoints
- Familiarity with the Hugging Face ecosystem (Transformers, Datasets, PEFT, Accelerate)
- Experience with LangChain and/or LangGraph for agentic pipeline development
- Working knowledge of the NVIDIA stack: TensorRT-LLM, Triton Inference Server, Dynamo
- Comfort with large-scale distributed training tools: DeepSpeed, xFormers
- Strong understanding of state-of-the-art model architectures (transformers, SSMs, diffusion, etc.)
- Ability to collaborate across technical and non-technical teams – bio, chem, software, clinical
- Excellent communication skills – you can explain a training run to a chemist
Strongly Preferred
- Experience with omics data (any modality: genomic, proteomic, transcriptomic, metabolomic)
- Background in computational biology, computational chemistry, or bioinformatics
- Prior work in biotech, pharma, or life sciences AI (not required but a plus)
- Experience building or contributing to multi-agent systems in a production environment
- Track record of independent research or open-source contributions in ML
Technical Skills Summary
Core ML / Training
- PyTorch – primary framework
- DeepSpeed – distributed training and ZeRO optimization
- xFormers – memory-efficient attention and transformer components
- Hugging Face Transformers, PEFT, Accelerate
- Training and fine-tuning large language and multimodal models
Inference & Deployment
- NVIDIA TensorRT-LLM – high-performance LLM inference
- NVIDIA Dynamo – inference orchestration and scheduling
- Triton Inference Server – model serving and batching
- Model quantization, distillation, and latency optimization
Agentic & Orchestration
- LangChain / LangGraph – agent design and multi-agent orchestration
- Tool-use, RAG pipelines, and memory systems
- API and system integration across scientific data sources
To Apply for this Job Click Here
Senior AI Scientist
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior AI Scientist
$180,000-$200,000 base + bonus + benefits
Remote
About the Organization
Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a hands-on, model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.
What You’ll Bring
- 5+ years of machine learning and NLP modeling experience in applied research and production environments
- PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
- Technical leadership experience required; direct people management a plus
- Experience with LLMs and agents for financial services, legal or compliance
- Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Cloud environments (provider-agnostic), AWS or GCP a plus
- Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
- Publication and patent history a plus
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on NLP products
- Experience delivering LLM-based solutions
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Staff Data Scientist – Credit & Marketplace
New York
$240000 - $280000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Data Scientist – Credit & Marketplace
Up to $280k base + significant equity
New York | In‑office (3-4 days/week)
We’re partnering with a Series A fintech building a credit‑led marketplace – a platform where data science sits at the heart of both credit decisioning and marketplace optimisation.
This is a rare opportunity to join at a stage where models are still being defined, not inherited. The team is hiring a Senior to Staff‑level Data Scientist to help shape the decision engine that determines who gets access to credit, how risk is priced, and how the marketplace allocates supply and demand.
They’re open to two backgrounds – but only at the very top end of the market:
- Credit / lending data scientists
- Elite marketplace data scientists (pricing, ranking, matching, experimentation)
- ✅ Successful Series A (o similar) experience is strongly preferred
Why This Role Is Different
Most DS roles optimise metrics. This one moves money. Your models will directly impact:
- Credit approval decisions
- Pricing and margin
- Portfolio performance and growth velocity
This is not a reporting or support role – it’s a core decision‑making seat for someone with a high grade ML / Data Science skillset.
What You’ll Do
- Design, build and iterate on credit underwriting and pricing models used in live production
- Tackle high‑stakes, constrained optimisation problems across credit and marketplace decisioning
- Apply causal and experimental thinking where clean A/B tests aren’t possible
- Own the full lifecycle: EDA → modelling → deployment, partnering closely with engineering
- Help define modelling standards, trade‑offs, and decision frameworks at an early stage
Who They’re Looking For
- Staff‑level Data Scientist
- Strong preference for successful Series A (or early Series B) experience
- Background in credit, lending, fintech, BNPL, or adjacent decisioning‑heavy domains like marketplace
- PhD or PhD‑level rigour strongly preferred (but not required if experience demonstrates depth)
- Strong Python & SQL; comfortable owning production‑facing logic
- Someone who thrives in ambiguity, speed, and ownership
Compensation & Logistics
- Base salary up to $280k (depending on level)
- Significant equity
- NYC based, 3-4 days in office
- No visa sponsorship
- If you’ve already helped scale a Series A company – and want to do it again with real ownership and influence – this is a rare opportunity.
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$100 - $120
+ Data Science & AI
ContractUSA
To Apply for this Job Click Here
Senior Machine Learning Engineer
Harnham, the leading recruitment specialist in Data and AI is currently partnering with a leading Data & Analytics firm in the US who are seeking multiple Machine Learning Engineers to join their team to support multiple client builds & integrations.
- Role – Senior Machine Learning Engineer
- Location – Remote in US (EST Hours)
- Pay – $100 – $120 per hour
- Length: Extendable 6 months initial contract
- Utilization: 40 hr/week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As Senior Machine Learning Engineer you will be building production pipelines to feed AI systems that support some of the largest Ecom businesses in the world. You will deploying RAG systems with LLM powered features in AWS environments
Requirements:
- Strong demonstrable experience in ML Engineering with strong Data background
- 0-1, Build & Deploy experience for AI applications using Large Language Models
- Sagemaker & Bedrock experience (as well as the broader AWS stack)
- AI Coding experience (eg. Claude Code)
This is an excellent opportunity for ML Engineer working on the bleeding edge of AI Adoption & deployment to work at a major Ecom data provider and to develop & deploy AI at some of the largest online retailers with global presence.
If interested, please apply or contact Ciarán
To Apply for this Job Click Here
Senior AI Engineer
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior AI Engineer
New York, NY – 4 days onsite
$250,000 – $275,000 + bonus; $400,000-$500,000 total
THE COMPANY
Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.
RESPONSIBILITIES
- Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
- Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
- Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
- Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.
- Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.
SKILLS AND EXPERIENCE
- BS/MS degree in Computer Science, Machine Learning or a related field.
- Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
- Background in Software Engineering required.
- Enterprise-level application experience, ideally in real-time preferred.
- Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
- Experience as a tech-lead for scaling MLE teams preferred.
- Commercial experience in smaller teams, scaling startups / scrappy environments a plus.
BENEFITS
The compensation package contains a base salary, bonus and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Private Equity | PE | Portfolio | Anomaly Detection | Fintech | Agentic AI | AI Agents | Software Engineering | Software Engineer
To Apply for this Job Click Here
Staff Applied Scientist
Palo Alto
$450000 - $550000
+ Data Science & AI
PermanentPalo Alto, California
To Apply for this Job Click Here
Staff Applied Scientist – LLM Suite | Investment Banking | Onsite in Palo Alto, CA
~$450-550k TC including base salary, bonus, and equity grant
Our client, a top-tier global investment bank, is expanding its enterprise AI platform and is looking for a Staff Applied Scientist to join their LLM Suite team. This is a production-focused role where the candidate will be building AI systems actively used by 200,000+ employees worldwide.
This person will own the development of text-to-code pipelines, agentic workflows, database interaction layers, and intelligent chatbots across one of the most complex financial institutions in the world.
Responsibilities
- Designing and deploying LLM-powered features including text-to-code, workflow automation, and AI agent frameworks
- Building and integrating multimodal LLM systems via API-based architectures
- Developing scalable, distributed, and multi-threaded applications using frameworks like Ray, Horovod, and DeepSpeed
- Owning full end-to-end software development cycles from prototyping through production deployment
- Architecting and managing containerized infrastructure using Kubernetes and AWS Fargate
- Building database interaction layers and backend services that support enterprise-scale AI products
- Collaborating cross-functionally with engineering, product, and business teams to translate complex requirements into working systems
Requirements
- PhD in Computer Science, Machine Learning, Applied Mathematics, or a related technical field (required)
- Deep hands-on experience with LLM integrations, both API-based and fine-tuning workflows
- Proven experience with multimodal LLMs and cutting-edge foundation models
- Strong background in distributed systems and scalable application design using Ray, Horovod, DeepSpeed, or equivalent
- Production experience with AWS, Kubernetes, and Fargate
- End-to-end software engineering experience, including design, development, testing, and deployment
- Experience building chatbots, agentic systems, or AI-assisted developer tooling is a strong plus
To Apply for this Job Click Here
Machine Learning Engineer, LLM
$180000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
