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.
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
VP AI Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco
A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.
Mission
- Design and deploy agentic AI systems to automate and optimise large-scale production environments
- Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
- Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
- Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
- Integrate AI agents with observability, incident management, deployment, and runtime platforms
- Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
- Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming
Profile
- Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
- 7+ years of experience in applied ML, data science, or software engineering in production environments
- Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
- Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
- Experience building secure, explainable, and reliable AI systems with strong governance and auditability
- Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes
To Apply for this Job Click Here
Staff ML Engineer
Colorado
$200000 - $225000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Staff ML Engineer
USA – Remote (Need to be in the USA already)
Up to $225K
Company
A rapidly growing AI-first fintech company revolutionizing financial advice using LLMs and agentic automation. Founded by serial entrepreneurs with prior exits and backed by top-tier strategic investors.
Mission
You’ll lead technical development on high-impact generative AI products, with ownership across design, modeling, fine-tuning, evaluation, and production deployment. Your work will power intelligent financial guidance systems used across advisory, B2B, and consumer-facing interfaces.
Key Responsibilities
-
Fine-tune open-source and proprietary LLMs for summarization, reasoning, planning
-
Build and optimize RAG pipelines with embedding tuning, reranking, hybrid search
-
Lead implementation of agentic workflows for AI agents acting autonomously
-
Apply reinforcement learning techniques (PPO, DPO, etc.) to improve model behavior
-
Deploy models at scale with high availability and low latency
-
Work closely with engineering and product to deliver end-to-end systems
Profile
-
5+ years experience in ML/AI engineering
-
Proven experience building and shipping GenAI products
-
Deep expertise in LLMs (LoRA, QLoRA), vLLM, fine-tuning, RAG, RLHF
-
Familiarity with LangChain, LangGraph, CrewAI or similar frameworks
-
Experience in high-paced, product-driven environments (startups a plus)
To Apply for this Job Click Here
Forward Deployed Senior Data Scientist
$150000 - $175000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Forward Deployed Senior Data Scientist
Salary: $175,000+ (Depending on Experience)
Locations: Remote (with 25% travel)
THE COMPANY
A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.
THE ROLE
As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.
This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.
KEY RESPONSIBILITIES
- Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
- Develop new AI‑driven technology stacks designed for specific customer use cases
- Lead end‑to‑end delivery of AI projects, from scoping to production deployment
- Partner with research, engineering, and software teams to deliver robust AI products
- Define architectural standards and project roadmaps for scalable AI systems
- Create evaluation frameworks for AI deployments, including performance, reliability, and observability
- Mentor junior team members and help shape a culture of excellence and innovation
- Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
- Build agentic AI systems leveraging reasoning frameworks and orchestrators
- Act as a technical leader, translating high‑level objectives into actionable technical plans
EXPERIENCE REQUIRED
- Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
- Strong software and data science fundamentals (Python essential)
- Experience building production‑grade AI systems and integrating them into customer environments
- Ability to collaborate across research, engineering, and product teams
- Experience working with large‑scale datasets and cloud‑based ML deployments
- Strong organisational skills and the ability to communicate complex ideas clearly
- Proven ability to operate independently in fast‑moving environments and manage competing priorities
- Passion for rapid prototyping, experimentation, and building high‑impact solutions
DESIRABLE EXPERIENCE
- Publications in top AI/ML/NLP or decision science venues
- Experience developing evaluation systems for LLMs or agentic models
- Experience with fine‑tuning, post‑training, or advanced model adaptation
- Familiarity with MLOps, monitoring, deployment, and large‑scale model management
- Track record of converting research prototypes into production systems
THE OFFER
- Competitive compensation (around $175,000 base depending on experience)
- Opportunity to work on deeply impactful, high‑scale AI challenges
- High degree of autonomy, technical ownership, and end‑to‑end influence
- A fast‑paced, innovation‑driven environment with strong technical peers
- Exposure to cutting‑edge modelling, LLMs, and agentic system development
To Apply for this Job Click Here
Lead Data Scientist
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead Data Scientist
$175,000- $200,000
Pittsburgh, PA (Onsite)
THE ORGANISATION
A discreet, high‑growth technology group is expanding its advanced analytics and AI leadership capabilities. The organisation operates in a deeply complex environment where modelling, optimisation, and intelligent decision systems play a central role. They are investing heavily in next‑generation platforms that blend predictive modelling, simulation, and large‑scale automation to influence critical strategic choices.
THE ROLE
This is a senior technical and leadership role responsible for architecting sophisticated simulation, optimisation, and decision‑intelligence systems. You will guide the vision, design, and delivery of large‑scale AI solutions, combining hands‑on expertise with strategic leadership.
Your remit spans the development of system‑level simulations, optimisation engines, and complex modelling frameworks that support high‑impact decision workflows. You will define long‑range technical direction, lead major AI initiatives end‑to‑end, and mentor a highly skilled team of Data Scientists and AI Engineers.
This is a position for someone who thrives in ambiguity, enjoys solving multi‑variable, system‑level challenges, and brings strong conceptual and practical knowledge of advanced modelling.
KEY RESPONSIBILITIES
- Lead the architecture, design, and deployment of advanced simulation and optimisation platforms
- Build multi‑modal modelling systems incorporating predictive analytics, stochastic simulation, and strategic optimisation workflows
- Define the long‑term technical roadmap for modelling and decision‑intelligence initiatives
- Oversee large‑scale AI projects from initial scoping through to production launch
- Act as the senior technical authority on simulation, optimisation, and model strategy
- Develop scalable frameworks that support complex capability modelling and scenario analysis
- Lead the development of platform components that integrate simulation, optimisation, predictive modelling, and decision logic
- Mentor senior technical team members, raising the standard across modelling, experimentation, and delivery
- Establish modelling best practices, evaluation standards, and robust experimentation workflows
- Partner with cross‑functional teams to convert abstract, open‑ended challenges into concrete technical solutions
- Bring emerging research and methodologies (simulation techniques, optimisation methods, advanced model reasoning, etc.) into production systems
- Communicate modelling strategy, risk, and value clearly to both technical and non‑technical stakeholders
WHAT YOU BRING
- 7+ years of applied Data Science or similar experience in complex modelling domains
- Deep experience with simulation methodologies (e.g. discrete‑event, agent‑based, Monte‑Carlo, or similar approaches)
- Strong understanding of stochastic optimisation, Bayesian optimisation, and advanced mathematical modelling techniques
- Ability to design, evaluate, and scale large‑scale modelling systems and optimisation pipelines
- Strong Python engineering foundations and experience delivering production‑ready AI/ML systems
- Experience leading full lifecycle AI/DS projects, from ideation to deployment
- Proven track record of working with large datasets, complex modelling environments, and multi‑component systems
- Ability to mentor senior‑level technical staff and influence high‑level decision‑making
- Comfortable operating in a high‑autonomy, high‑ownership environment
DESIRABLE EXPERIENCE
- Experience with causal modelling, decision science, or structural modelling frameworks
- Experience with complex system evaluation, simulation benchmarking, or modelling validation
- Background in scaling AI/ML or optimisation systems across cloud environments
- Experience converting experimental prototypes into robust, enterprise‑ready solutions
- Strong publication or research contributions in modelling, optimisation, or related fields
THE OFFER
- Competitive Base Salary
- Opportunity to architect foundational modelling and optimisation systems for a major technology programme
- Significant autonomy and technical ownership
- Ability to shape modelling strategy, culture, and long‑term system design
- Work within a deeply technical team solving highly complex, meaningful challenges
To Apply for this Job Click Here
AI Engineering Lead
New York
$190000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
AI Engineering Lead
New York City (5 days a week in‑office)
$200,000 base / ~$450,000 total compensation
We’re partnered with a high‑performing financial services firm operating at the intersection of technology, data, and investment decision‑making. They’re looking to bring on a senior AI leader to drive the next phase of applied AI across core investment and research workflows.
This is a hands‑on leadership role suited to someone who has built and owned production‑grade AI systems in fast‑moving, high‑stakes environments.
What you’ll be doing
- Owning the technical direction for applied AI initiatives across investment and operational use cases
- Translating complex problems from investment, trading, and research teams into scalable AI solutions
- Designing and deploying LLM‑powered systems that move beyond experimentation and into daily use
- Building intelligent, multi‑step AI workflows that integrate securely with internal data and tooling
- Setting standards around model evaluation, deployment, monitoring, and iteration
- Acting as a technical mentor and bar‑raiser within a small, elite engineering group
What they’re looking for
- Strong engineering background with real production AI ownership
- Experience delivering AI/ML systems within hedge funds, asset managers, fintechs, or quantitative environments
- Deep understanding of modern LLM architectures, agent‑style systems, and applied ML patterns
- Comfortable working closely with senior stakeholders in a commercially driven setting
- Happy to be fully on‑site in New York, five days a week
Why this role
- Meaningful ownership over AI strategy, not a research sandbox
- Direct exposure to investment decision‑makers
- Highly competitive compensation aligned with top‑tier buy‑side talent
- A mandate to build systems that are actually used – not just explored
If you’re coming from a hedge fund, systematic trading firm, or fintech and want to lead applied AI where it genuinely matters, this is one worth exploring.
To Apply for this Job Click Here
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With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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Frequently Asked Questions: Machine Learning Deployment
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AI.
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
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 – 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
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
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!
Client /
Director of People Operations
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
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.
