AI & MACHINE LEARNING
TALENT SOLUTIONS
Â
Specialist Focus Areas
At Harnham, we specialize in the following key areas within Artificial Intelligence (AI) and Machine Learning (ML):
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- AI Architecture: Professionals who design and oversee the implementation of AI solutions.
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- AI Engineering: Delivering top-tier AI talent to drive innovation and success for your business.
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- Generative AI Engineering: Supplying expert talent to accelerate innovation and growth in your business.
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- ML Applied Data Science: Skilled machine learning professionals to fuel cutting-edge advancements.
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- Machine Learning Deployment: Data professionals deploying ML models efficiently and effectively in production environments.
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- Machine Learning Engineering: Consutlants with analytical abilities and practical experience developing and implementing machine learning models.
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- ML Ops: Bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
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- ML Platform Engineering: Developing, managing, and optimizing the platforms that underpin successful ML operations.
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- Natural Language Processing and Large Language Models: Navigate the complexities of Natural Language Processing and Large Language Model roles, ensuring we source candidates who are both highly skilled and a perfect fit for your organization.
WHY
HARNHAM?
Technical Expertise and Deep Industry Knowledge
With over 20 years of experience in the field, our team at Harnham is well-versed in the latest developments in AI and Machine Learning. We stay current with industry trends, technologies, and methodologies, ensuring we can source and place candidates who are proficient in advanced AI techniques such as neural networks, deep learning, reinforcement learning, and natural language processing. Our knowledge extends to various AI frameworks and tools like TensorFlow, PyTorch, Keras, and Scikit-Learn, allowing us to accurately assess technical skills and match candidates to roles that require specialized expertise. Our Data & Artificial Intelligence Recruitment Agency leverages this expertise to connect businesses with top-tier AI talent.
Data-Driven Recruitment Process
Our recruitment process is underpinned by data-driven insights and analytics, which enable us to identify high-potential candidates quickly and efficiently. We use sophisticated AI-driven tools to analyze resumes, predict candidate success, and match the right talent to the right roles. This approach not only speeds up the hiring process but also increases the accuracy of our placements, ensuring a higher success rate for both candidates and clients.
Comprehensive Market Analysis and Talent Mapping
We provide in-depth market analysis and talent mapping services to help you understand the competitive landscape and the availability of key skills in the market. Our detailed reports offer insights into salary benchmarks, skill demand, and talent supply, enabling you to make informed decisions about your recruitment strategies. This comprehensive approach ensures you stay ahead in the competitive AI and ML talent market.
Global Network with Local Expertise
Our global reach allows us to tap into a vast pool of AI and ML talent across multiple regions, while our local market knowledge ensures we understand the specific recruitment dynamics of each area. This dual perspective enables us to deliver tailored recruitment solutions that meet both global standards and local requirements, ensuring a seamless fit for your organization.
OUR
SERVICES
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Permanent Recruitment
We specialize in identifying and securing long-term talent who will become integral members of your AI and ML teams. Our permanent recruitment solutions focus on finding professionals who align with your company’s culture and strategic goals, ensuring they make lasting contributions. As an artificial intelligence recruitment agency, we leverage our deep industry knowledge and technical expertise to match you with candidates who can drive your AI initiatives forward.
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Contract Recruitment
Our contract recruitment services offer the flexibility to scale your workforce according to project demands. We provide access to highly skilled AI and ML professionals for temporary or project-based engagements, allowing you to adapt quickly to changing needs. This approach ensures you have the right talent at the right time, supported by our vast network and extensive market insights.
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Executive Search
We conduct specialized searches for senior and executive-level roles in AI and ML, ensuring your leadership team has the vision and expertise to drive your strategic initiatives. Our executive search services focus on finding leaders who can transform your AI and ML capabilities. With over two decades of experience, our artificial intelligence recruitment agency has the recruitment expertise to identify and engage top-tier professionals for your executive team.
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Customized Talent Consulting
Beyond traditional recruitment, we offer customized talent consulting services to optimize your hiring strategies. Our services include:
- Talent Mapping: Identifying the ML skills and AI expertise available in the market.
- Competitive Analysis: Understanding how your recruitment strategies compare with industry standards.
- Strategic Workforce Planning: Developing a roadmap for future talent acquisition.
- Recruitment Strategy Development: Crafting bespoke strategies to attract and retain top AI and ML talent.
Our comprehensive approach ensures that your recruitment efforts are aligned with your business objectives and market demands.
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Partner with Harnham
Discover how Harnham’s specialized recruitment services can empower your AI and ML projects and enhance your organization’s capabilities. As a leading artificial intelligence recruitment agency, we offer tailored solutions designed to meet your strategic objectives. Contact us today to learn more about how we can support your AI and machine learning recruitment needs.
JOBS
LATEST AI and Machine Learning
JOBS
Lead AI Engineer – Multimodal
London
£120000 - £140000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer – Multimodal
London (Hybrid), Up to £140,000 + benefits
This is a standout opportunity to step into a senior, hands-on leadership role within a newly established AI Lab. You will have genuine influence over technical direction, product experimentation, and delivery, while helping shape how generative AI is applied to high-impact, content-led products.
The Company
They are a globally operating organisation known for producing trusted, high-quality information and insight at scale. With a strong reputation for intellectual rigour and independence, they are investing significantly in advanced AI capabilities as part of a long-term product and innovation strategy. The AI Lab sits at the centre of this ambition, operating as a focused, high-impact product initiative.
The Role
- Provide senior technical leadership across a small, multidisciplinary AI Lab
- Design, build, and iterate on AI-powered prototypes spanning text, audio, voice, and multimodal experiences
- Lead technical exploration of new models, tools, and workflows
- Define and own architectural decisions, balancing speed, quality, and scalability
- Work closely with product, engineering, and non-technical stakeholders to turn ideas into live experiments
- Mentor and support engineers, contributing to the Lab’s longer-term technical roadmap
Your Skills & Experience
- Strong commercial experience building with modern generative AI systems in production or advanced prototype environments
- Excellent software engineering capability with a bias towards hands-on delivery
- Experience working across multiple modalities, such as text, audio, voice, or conversational interfaces
- Strong judgement in selecting models, tools, and architectures for different use cases
- Confidence communicating complex technical concepts to non-technical audiences
- Comfortable operating autonomously in fast-moving, ambiguous environments
What They Offer
- Salary up to £140,000 plus a competitive benefits package
- A senior role with real ownership and influence over a flagship AI initiative
- The opportunity to work in a small, high-impact team with strong executive backing
- Hybrid working model with a central London office and collaborative culture
How to Apply
Apply now to find out more about this Lead AI Engineer role and how you could shape the next phase of an ambitious AI programme.
To Apply for this Job Click Here
Computer Vision Researcher – Fully Remote
$180000 - $190000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Computer Vision Researcher
United States | $170,000 to $190,000 base salary plus bonus and benefits
This is a high-impact research role focused on applying advanced computer vision and deep learning techniques to real-world healthcare problems. You will work on complex visual data at scale, seeing your research move from experimentation into production and directly influencing quality of care.
The Company
They are a healthcare technology organisation using AI and data science to improve clinical decision-making and patient outcomes. Their platforms combine large-scale medical imaging data with rigorous, science-led research. Working closely with clinical and engineering teams, they focus on building AI systems that are both technically robust and clinically meaningful.
The Role
- Research, develop and deploy computer vision models used in production environments
- Work with large-scale medical imaging data including MRI, CT and X-ray
- Design and evaluate deep learning architectures for image classification, detection and representation learning
- Apply modern techniques such as convolutional neural networks, transformers and multimodal learning
- Collaborate with engineers, data scientists and clinical experts to shape the research roadmap
- Contribute to publications, conference submissions and internal innovation initiatives
- Support best practices in research and mentor other team members
Your Skills & Experience
- Strong applied research experience in computer vision and deep learning
- Hands-on expertise with CNNs, vision transformers, image segmentation and feature extraction
- Experience working with large image datasets and complex labelling challenges
- Proficiency in Python and PyTorch
- Ability to take research ideas from concept through evaluation and deployment
- Comfortable working in multidisciplinary teams and communicating technical work clearly
- Experience with medical imaging, multimodal models or large-scale training is beneficial
What They Offer
- Base salary between $170,000 and $190,000 plus discretionary bonus
- Comprehensive medical, dental and vision coverage
- Flexible time off and a strong focus on wellbeing
- Retirement plan and annual professional development stipend
- Clear progression opportunities into senior and research leadership roles
How to Apply
If you are excited by cutting-edge computer vision research with real-world impact, apply now to learn more about this opportunity.
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
$200000 - $230000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
REMOTE – US
$180,000-$230,000 + Equity
We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.
This is a role for someone who enjoys shaping platform architecture while still being hands‑on.
What you’ll be doing
- Designing, training, and deploying high‑scale ML models used in live systems
- Building distributed training pipelines (PyTorch, Ray)
- Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
- Improving ML reliability, observability, and reproducibility
- Working closely with engineering, SRE, and product to shape platform direction
- Contributing to ML architecture standards, CI/CD, and testing frameworks
What they’re looking for
- Strong experience delivering production ML systems end‑to‑end
- Expertise with Python, PyTorch, distributed compute (Ray, Spark)
- Background in large‑scale data processing and MLOps tooling
- Ability to diagnose production issues and drive architectural improvements
- Experience with event‑driven ML and model deployment frameworks is a plus
Why this role
- High ownership of ML platform direction
- Complex, real‑world ML workloads at meaningful scale
- Opportunity to improve and evolve existing infrastructure
- Equity + strong compensation package
HOW TO APPLY
If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.
To Apply for this Job Click Here
Senior Machine Learning Engineer (VLM)
$200000 - $230000
+ Computer Vision
PermanentUSA
To Apply for this Job Click Here
Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits
This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.
The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.
The Role
- Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
- Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
- Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
- Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
- Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve
Your Skills and Experience
- Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
- Hands on experience evaluating, fine tuning or deploying VLMs in production environments
- Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
- Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
- Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
- Comfortable owning problems end to end and collaborating across hardware and software teams
What They Offer
- Competitive base salary of $200,000 to $230,000 plus equity
- Fully remote working across the United States
- Comprehensive benefits including medical, dental and vision cover
- Flexible paid time off and a strong culture of autonomy and trust
- The opportunity to be a technical leader in the application of Vision Language Models at scale
How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.
To Apply for this Job Click Here
AI Engineer
San Francisco
$200000 - $220000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
AI Engineer
San Francisco, California
Remote
$200,000 – $220,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As an AI Engineer, you will design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable abstraction and clinical note generation-with repeatable validation, robust documentation, and HITL feedback loops. Heavy emphasis on data engineering and backend rigor to make models usable and efficient.
Role Responsibilities
- Build models and pipelines across EMR/EHR, imaging, clinical reports
- Translate ambiguous clinical requirements into measurable ML objectives
- Define metrics, design experiments, estimate error; review peer work
- Deliver validated AI components for abstraction/note generation; meaningfully reduce manual QA workload via HITL; standardize documentation/testing; establish performant data manipulation patterns (e.g., PySpark, SQL/Postgres) that speed iteration.
Key Requirements
- Python
- Pytorch or Tensorflow
- Data engineering: PySpark, SQL, Postgres, query tuning, data modeling
- Cloud data platforms (e.g., Databricks, S3/Snowflake/Azure/GCP)
- Nice to have experience in oncology/biotech/health tech
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco, California
Remote
$160,000 – $190,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.
Role Responsibilities
- Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
- Program statistical outputs (tables, listings, figures) in SAS/R/Python
- Investigate data anomalies across multiple messy data inputs
- Define data dictionaries and standards before study kickoff
- Handle data in a HIPAA‑aligned manner
Key Requirements
- 2-5 years in clinical data science, stat programming, or clinical data management
- Pharma/Biotech experience
- SAS, R, Python, SQL
- Real‑world clinical data or oncology trials
- CDISC SDTM/ADaM
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
To Apply for this Job Click Here
Staff Software Engineer, AI Product
Remote
$212969.75 - $349270.39
+ Data Engineering
PermanentArizona
To Apply for this Job Click Here
What You’ll Do
- Build and ship production-grade GenAI features (often 0→1)
- Own the end-user experience of AI-powered workflows
- Work closely with Product and Design to translate AI into intuitive UX
- Lead technical direction, mentor engineers, and set best practices
- Help define AI tooling, infrastructure standards, and evaluation approaches
- Balance fast iteration with scalability, reliability, and responsible AI
What We’re Looking For
- 7+ years of software engineering experience
- Staff-level mindset with proven technical leadership
- Strong frontend or frontend-leaning full-stack background
- 2-3+ years of hands-on GenAI experience
- Experience integrating LLMs into real products (not just demos)
- Strong product sense and user-first thinking
- Experience shipping features used by many users
- TypeScript experience preferred
- Cloud experience (Azure preferred; AWS/GCP acceptable)
Nice to Have
- B2C or consumer-facing product experience
- B2B experience with governance or data constraints
- Experience with chat-based UX, copilots, or assistants
- Familiarity with GenAI frameworks (e.g., LangChain)
Tech Stack
- TypeScript
- React, Node.js
- Azure (AWS/GCP acceptable)
- LLM APIs / GenAI tooling
To Apply for this Job Click Here
Director of Cloud Engineering
Dallas
$267733.4 - $304242.5
+ Data Management & Governance
PermanentDallas, Texas
To Apply for this Job Click Here
What You’ll Do
- Own the end‑to‑end strategy and execution for public and private cloud platforms
- Lead a large, distributed organization (50-100+ engineers) across the US and India, including managers and senior technical leaders
- Unify currently siloed private and public cloud functions into a single, coherent platform
- Drive delivery of cloud infrastructure spanning:
- Kubernetes and container platforms
- Compute, GPU, and storage services
- Networking, identity, security, and access
- Infrastructure‑as‑Code and automation
- Provide direction and accountability to architects and senior engineers, ensuring decisions are made and executed
- Build a strong operating model that balances autonomy, reliability, cost control, and speed
- Establish trust and credibility within a deeply technical engineering culture
- Partner closely with leaders across technology, security, and the business to ensure alignment and outcomes
- Public and private cloud are no longer disconnected-they operate as one platform
- Strategy doesn’t stall at design; platforms are built, adopted, and running in production
- Teams are autonomous, accountable, and delivering reliably at scale
- Architects are aligned and decisively driven toward execution
- Cloud platforms are cost‑effective, resilient, secure, and easy for internal teams to consume
Required Experience
- 12+ years in cloud, infrastructure, or platform engineering roles
- 5+ years leading managers and senior technical leaders
- Proven ownership of both private and public cloud environments (this is non‑negotiable)
- Strong public cloud experience across at least two of: AWS, Azure, GCP
- Deep private cloud experience (VMware, Kubernetes‑led platforms, or equivalent)
- Strong Infrastructure‑as‑Code background (Terraform, Ansible, Python, or similar)
- Experience building self‑service internal platforms or IaaS products
- Solid grounding in networking, security, identity, and distributed systems
- Taking strategy from concept to delivery
Nice to Have
- Leadership experience with OpenShift or upstream Kubernetes
- Experience building GUI‑ or portal‑based private cloud platforms
- DevOps, SRE, or Internal Developer Platform (IDP) leadership experience
- Exposure to high‑performance compute, GPU workloads, or advanced analytics platforms
To Apply for this Job Click Here
Data Scientist – LLM
Chicago
$120000 - $170000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Data Scientist (LLM)
Location: Chicago
Salary: Up to $170,000 + Benefits
An exciting opportunity has arisen for a Data Scientist to join a global SaaS organization that is transforming decision-making across a critical sector. With thousands of clients worldwide, this company is dedicated to delivering innovative solutions that drive measurable impact and operational efficiency.
The Role
The successful candidate will join a high-performing Analytics & Insights team, responsible for building predictive models and intelligent data pipelines that enable data-driven strategies. This position plays a key role in shaping product development and improving customer outcomes.
Key Responsibilities:
- Develop advanced statistical models and machine learning algorithms for predictive analytics and forecasting.
- Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks.
- Design and implement experiments to validate product impact and optimize outcomes.
- Collaborate with engineers, product managers, and domain experts to translate business challenges into data solutions.
- Implement monitoring and validation tools to ensure data quality and reliability.
What They’re Looking For
- Mid-level experience in data science or machine learning, ideally within SaaS or a data-driven industry.
- Proven track record of building and deploying end-to-end data solutions.
- Strong knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design.
- Hands-on experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
- Ability to troubleshoot and maintain scalable data workflows.
- A collaborative mindset and passion for using data to drive impact.
To Apply for this Job Click Here
Principal Engineer, AI/ML
Toronto
$170000 - $240000
+ Data Engineering
PermanentToronto, Ontario
To Apply for this Job Click Here
Principal Engineer, AI/ML
Location: Hybrid – Canada or U.S. (Toronto, Ann Arbor, Frisco, Eagan)
About the Opportunity
We’re partnering with the innovation lab of a global enterprise organization at the forefront of applying AI, machine learning, and data science to real-world professional workflows.
This group operates like a startup within a large-scale platform, building cutting-edge products that leverage LLMs, generative AI, and agentic systems to transform how users interact with complex information.
- AI-powered research and summarization
- Intelligent content and knowledge systems
- End-to-end automation of high-value professional workflows
This is a rare opportunity to work on AI-native products at scale, with meaningful real-world impact.
Role Overview
As a Principal Engineer, AI, you will lead the design and delivery of next-generation AI systems, driving technical strategy and building scalable, production-grade GenAI applications.
You’ll operate at the intersection of:
- Architecture
- Hands-on engineering
- Cross-functional leadership
What You’ll Do
- Define and drive technical strategy for large-scale AI initiatives
- Architect and build LLM-powered applications and agentic systems
- Lead development of AI-native features for content and knowledge platforms
- Design scalable systems leveraging RAG, prompt engineering, and fine-tuning
- Integrate GenAI into user-facing applications and workflows
- Mentor and guide senior engineers and technical leaders globally
- Partner with product and business teams to translate requirements into technical solutions
- Own delivery of complex, high-impact engineering initiatives
Core Tech Areas
- AI/ML: LLMs, Generative AI, RAG, Agentic Systems
- Languages: Python, Java, TypeScript (varies by team)
- Cloud: AWS, Azure, or GCP
- Frameworks: LangChain, LLM tooling, modern AI dev frameworks
- Practices: DevOps, CI/CD, scalable distributed systems
What They’re Looking For
- 10+ years of hands-on software engineering experience
- Proven experience building scalable AI / ML / GenAI systems in production
- Strong understanding of:
- LLMs and generative AI
- RAG architectures
- Prompt engineering and fine-tuning
- Agent-based / agentic systems
- Experience working in cloud environments (AWS, Azure, or GCP)
- Background in enterprise SaaS or large-scale platforms
- Ability to operate in ambiguous, fast-moving environments
- Strong communication skills and ability to influence across teams
- Experience mentoring engineers and driving engineering best practices
Nice to Have
- Experience building AI systems for content, knowledge, or domain-specific workflows (e.g., legal, compliance, research)
- Familiarity with AI governance, evaluation, and responsible AI practices
- Advanced degree in Computer Science, Engineering, or related field
Why This Role
- Work on cutting-edge GenAI systems with real-world impact
- Combine startup velocity with enterprise scale and resources
- High visibility role with influence across product and engineering strategy
- Opportunity to shape AI-native platforms from the ground up
Ideal Candidate
- Deeply technical AI/ML engineer with architectural mindset
- Comfortable owning systems from design → build → scale
- Passionate about LLMs, agentic systems, and applied AI
- Thrives in environments requiring ownership, autonomy, and leadership
To Apply for this Job Click Here
Senior Data Scientist
$180000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Data Scientist – Applied Modeling
REMOTE – US
$170,000-$200,000 + Equity
We’re recruiting for a high‑growth AI technology company whose products power audience modeling, bid optimisation, contextual targeting, and measurement for major brands. They are looking for a Senior Data Scientist to own model performance in production, working across both experimentation and real‑world optimisation.
This is a hands‑on applied role, deeply connected to product and engineering teams.
What you’ll be doing
- Building, configuring, and improving models for audience scoring, lookalikes, optimisation & measurement
- Running diagnostics, drift detection, lift analysis, and performance tuning
- Developing pipelines and feature workflows in Python, SQL, and PySpark
- Supporting experimentation frameworks and producing actionable insights
- Collaborating with product, engineering, and client‑facing teams
- Feeding field learnings back into the modeling lifecycle
What they’re looking for
- 5+ years in Data Science / ML
- Strong Python, PySpark, SQL, and ML frameworks (PyTorch/sklearn)
- Experience owning models in production, not just research
- Strong communication and ability to translate model outputs into business decisions
- Experience with NLP or contextual models is a strong plus
Why this role
- Models directly tied to real‑world performance
- High variety across modeling, experimentation, and production ownership
- Opportunity to shape the next generation of applied ML products
- Strong compensation + equity package
HOW TO APPLY
If you want a high‑impact DS role where your models drive real‑world outcomes, we’d love to hear from you.
To Apply for this Job Click Here
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Director of Customer Data Science – Apparel
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 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 – 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.
