CHICAGO DATA AND AI EXECUTIVE RECRUITMENT
Harnham Data and AI Recruitment is a leading executive search firm covering the Chicago area, specializing in helping businesses find the right candidates for their data-driven roles.
As one of the premier executive recruiters covering Chicago, we take pride in our ability to connect our clients with top-tier talent across the different sectors in the Data and AI business landscape.
Our team of experienced recruitment consultants leverages an extensive network and deep market knowledge to guide clients through every step of the recruiting process. This ensures we find qualified candidates who align with each client’s business goals. With offices in multiple countries and a track record of exceptional service, we’ve worked with a wide range of clients to fill the most critical roles with the perfect candidates.
We have a strong track record of successful placements and have worked with some of the most well-known companies in the world. One of the reasons we’ve been so successful is due to the fact that we provide insights and research on the data industry, so our clients have the most up-to-date information on the data industry. Discover more by getting in touch with our Chicago executive recruitment experts today.
DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Like the Data & AI professionals we place, Harnham’s recruitment process is built on tried-and-tested models.
By gaining valuable insights across a range of industries, we provide bespoke search services that cater to our clients’ unique needs.
Our recruitment strategies have driven growth in sectors such as Financial Services, Real Estate, and technology, including cutting-edge fields like quantum computing. We always have a wide range of vacancies at both junior and senior level including Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, France, United States, and the Netherlands. Whether it’s C-suite roles or mid-level leadership positions, we consistently deliver exceptional candidates. Our Chicago team specializes in placing data experts in roles like Data Scientist, Data Analyst, and Big Data Engineer. Let us help you find the ideal candidate profile to meet your organizational goals. Get in contact with us!
WHAT SETS US APART FROM OTHER CHICAGO DATA EXECUTIVE RECRUITMENT AGENCIES?
What sets Harnham's Data and AI Recruitment apart from other Data and AI Recruitment agencies in Chicago, is our extensive experience in the Data industry as we've been in it for so many years.
Our Chicago Data Executive Recruitment team are well informed. They don’t just procure top executive talent; they also provide insights into industry trends, ensuring our clients remain ahead of the curve. From leadership roles to advisory positions, our Chicago data recruitment team is equipped to tackle the most challenging staffing needs. Offering insider knowledge, and a wealth of experience. Which continues to make Harnham stand out in the competitive Chicago-area market thanks to our expertise and tailored approach to executive recruiting.
We work with client organizations to develop comprehensive recruitment strategies, offering tools like salary benchmarks, diversity guides which can help diversity initiatives, and Leadership Assessments to streamline the hiring process. By focusing on aligning talent with business objectives, we’ve become trusted executive search partners for companies across a broad range of industries. For exceptional executive recruitment services in Chicago, contact Harnham today. Let us connect you with the right candidates to drive your business forward.
JOBS
LATEST Chicago
DATA JOBS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.
Senior Machine Learning Engineer
London
£90000 - £110000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Machine Learning Engineer
London, Hybrid (Twice Per Week)
Up to £110,000 + 20% Bonus
This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team.
The Company
They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference.
The Role
You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready.
Key responsibilities include:
- Building and deploying machine learning models into live production environments
- Designing and maintaining MLOps workflows, including model lifecycle management
- Developing APIs and containerised services to support ML products
- Implementing DevOps best practices across development and production
- Collaborating cross functionally to align data, modelling, and business requirements
Your Skills and Experience
- Strong commercial experience developing machine learning solutions in Python
- Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow
- Experience building and deploying containerised services and APIs
- Working knowledge of SQL and data driven application development
- Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure
- Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial
What They Offer
- Salary up to £110,000 plus a 20% bonus
- Hybrid working with two days per week in the London office
- Exposure to varied, high impact machine learning projects
- Clear scope for technical ownership and career progression
- A collaborative culture with strong investment in data and AI capability
To Apply for this Job Click Here
Principal Machine Learning Engineer
$170000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal Machine Learning Engineer
New York | Hybrid | Principal IC
$170,000 to $210,000
Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.
The role
As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.
What you’ll be doing
- Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
- Building scalable Python backends & APIs (FastAPI, async systems)
- Owning LLMOps/MLOps, cloud AI infrastructure and observability
- Driving best practice across ML, software engineering and platform design
What we’re looking for
- 10+ years in ML / software / data roles, expert Python engineer
- Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
- Production mindset: distributed systems, reliability, scalability
- Comfortable influencing teams and leaders without line management
Why apply
- Principal‑level impact and autonomy
- Cutting‑edge AI at real scale (not POCs)
- High‑trust, high‑performance engineering culture
Apply NOW!
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
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
Staff Machine Learning Scientist
San Francisco
$200000 - $260000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Machine Learning Scientist
Location: SF Bay Area – Hybrid (3 days/week onsite)
Salary: $200-260k base + Equity
A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.
What You’ll Do
- Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
- Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
- Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
- Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
- Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.
What You Bring
- 7-10 years of experience building, deploying, and maintaining ML models at scale.
- Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
- Proven track record in consumer tech or large-scale marketplaces companies.
- Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
- Background in user behavior modeling, search relevance, or real-time data systems.
- Strong foundation in experimentation (A/B testing), statistics, and applied ML.
- Exceptional communication skills and the ability to translate technical insights into business value.
- Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.
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
Senior Machine Learning Engineer (Fully Remote)
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
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 Machine Learning Engineer
New York
$180000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
Desired Skills and Experience
MLOps, DataBricks
To Apply for this Job Click Here
Director of Machine Learning
$400000 - $500000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of Machine Learning
NYC
An award-winning AI company at the forefront of real-time programmatic technology, delivering impactful, data-driven solutions for global brands.
Mission:
We’re looking for a Senior Machine Learning Engineering Leader to own the ML infrastructure and guide the technical strategy. You will lead a team of engineers, ensure scalable, fault-tolerant ML pipelines, and collaborate with product and engineering teams to align ML systems with business goals.
Desired Profile:
-
Minimum 8 years in ML engineering, with at least 3 years in leadership roles.
-
Hands-on experience with cloud platforms (AWS, Databricks), MLOps tools (MLflow, Prometheus), and CI/CD pipelines.
-
Proficiency with deploying low-latency ML solutions and advanced architectures, including LLMs, vector stores, and Rust microservices.
-
Strong stakeholder communication and ability to mentor and grow engineering talent.
-
Background in advertising or performance marketing a bonus.
To Apply for this Job Click Here
Senior Machine Learning Engineer
$180000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: New York (Hybrid)
Compensation: $180,000 – $250,000 base salary + Equity
About the Company
We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.
The Role
As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.
Key Responsibilities
- AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
- Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
- Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
- Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
- Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
- Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.
Your Skills and Experience
We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:
- 2-8 years of experience in applied NLP or LLM-focused system development.
- Proven track record building and deploying NLP/LLM solutions in production.
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
- Experience working with large, unstructured code and text datasets.
- Background in applied research with an ability to bring experimental models into real-world systems.
- Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
- Strong communication skills and comfort working in fast-paced, ownership-driven environments.
- Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
- Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).
The Benefits
- Competitive Pay: $180,000 – $250,000 base + performance bonus + equity
- Innovation Ownership: Contribute directly to product innovation and IP
- Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more
How to Apply
To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.
To Apply for this Job Click Here
Machine Learning Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Machine Learning Engineer (Contract)
£500-600 per day
3 months (4 days per week)
London (Hybrid, ~1 day per week)
IR35: TBC
We’re working with an AI company in the trade and logistics space at a critical inflexion point, moving from enterprise pilots into production deployments. With strong ML capability already in place, they now need a senior contractor to come in and audit, structure, and productionise their existing ML systems.
This role is focused on fixing and scaling what already exists, not building from scratch.
The Role
You will work directly with the technical co-founders to bring structure, scalability, and best practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments.
Key responsibilities:
* Audit current ML architecture, pipelines, and MLOps practices
* Identify gaps in documentation, reproducibility, and scalability
* Introduce clear structure across model development, versioning, and deployment
* Improve training and retraining workflows
* Strengthen model monitoring, evaluation, and performance tracking
* Support productionisation and inference pipeline improvements
* Ensure systems are maintainable for future hires
* Provide a clear, pragmatic path from pilot to production
You will also contribute to ongoing analytical work (risk modelling, anomaly detection), but the primary focus is on ML system structure and scalability.
Technical Environment
* High-volume ETL/ELT pipelines (multi-source ingestion: SAP, APIs, email, flat files)
* Client-specific models built on shared base models (micro-model architecture)
* Feedback-driven learning loops and model iteration
* LLM workflows for document analysis (multi-prompt pipelines)
* AWS and GCP infrastructure (Azure being introduced)
* Containerised deployments with CI/CD
* Multi-environment deployment (cloud, hybrid, on-prem)
Your Skills & Experience
* Strong Python and hands-on ML engineering experience
* Proven experience in productionising ML systems end-to-end
* Experience auditing and improving existing ML setups
* Strong MLOps experience (model versioning, monitoring, CI/CD)
* Experience working with data pipelines (ETL/ELT, Spark or similar)
* Comfortable working with messy, real-world data and complex business logic
* Experience in small, fast-moving teams (startup, scaleup, or consulting)
* Strong communication and documentation skills
Nice to have:
* Experience with LLM workflows (RAG, LangChain, etc.)
* Experience in logistics, trade, or compliance data
* Experience supporting client-facing or pre-sales conversations
To Apply: Please email
To Apply for this Job Click Here
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News & Blog
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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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.
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 – 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
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 – 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 – 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 – 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 – 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
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.
