AI & MACHINE LEARNING
TALENT SOLUTIONS
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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
Head of Engineering
Manchester
£100000 - £130000
+ Data Management & Governance
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Head of Engineering – Remote
Managing teams across Data Engineering, Data Science and BI
We are working with a leading AI company who are looking for a Head of Engineering to manage a team of 30 technical resources across Data Engineering, Data Science/ML and BI.
This is a strategy and management role and will require someone with experience managing large technical teams.
What you will do:
- Lead a diverse engineering organisation spanning Data, ML, Web, DevOps, and QA to power a platform trusted by major global brands.
- Architect, enhance, and scale systems that handle enormous search datasets and sophisticated distributed processing.
- Play a key role in defining how the industry navigates LLM‑driven search across platforms like Google, ChatGPT, Perplexity, Gemini, and others.
- Advance AI‑enhanced development practices within a company already operating at the forefront of GenAI adoption.
- Partner closely with the CTO to shape technology strategy and drive meaningful innovation.
- Enjoy significant ownership and impact within a rapidly scaling SaaS business tackling real technical challenges.
To Apply for this Job Click Here
Python Scraping Engineer
City of London
£40000 - £60000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Python Scraping Engineer
Location: Fully remote
Salary: £40,000 – £60,000
The Opportunity
I’m looking for a Python Scraping Engineer to join a growing AI-focused data team.
What You’ll Do
- Design, build, and maintain large-scale production web scrapers
- Tackle advanced anti-bot and detection systems
- Work with browser automation and dynamic, JavaScript-heavy sites
- Improve scraper reliability, throughput, and data quality
- Collaborate closely with data engineers and AI teams to ensure scraped data is trusted and usable
What We’re Looking For
- Strong Python-based scraping experience (production, large-scale)
- Deep knowledge of:
- Anti-bot detection & evasion
- Browser fingerprinting
- CAPTCHA solving
- Proxy and IP management
- HTTP protocols and browser networking
- Hands-on experience with browser automation tools (e.g. Playwright, Selenium, Puppeteer)
- Comfortable debugging complex scraping failures at scale
Tech Preferences
- Python (preferred)
Interview Process
- CTO interview
- Meet the team
To Apply for this Job Click Here
Senior Python Scraping Engineer
City of London
£60000 - £70000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Senior Python Scraping Engineer
Location: Fully remote
Salary: £60,000 – £70,000
The Opportunity
I’m looking for a Python Scraping Engineer to join a growing AI-focused data team.
What You’ll Do
- Design, build, and maintain large-scale production web scrapers
- Tackle advanced anti-bot and detection systems
- Work with browser automation and dynamic, JavaScript-heavy sites
- Improve scraper reliability, throughput, and data quality
- Collaborate closely with data engineers and AI teams to ensure scraped data is trusted and usable
What We’re Looking For
- Strong Python-based scraping experience (production, large-scale)
- Deep knowledge of:
- Anti-bot detection & evasion
- Browser fingerprinting
- CAPTCHA solving
- Proxy and IP management
- HTTP protocols and browser networking
- Hands-on experience with browser automation tools (e.g. Playwright, Selenium, Puppeteer)
- Comfortable debugging complex scraping failures at scale
Tech Preferences
- Python (preferred)
Interview Process
- CTO interview
- Meet the team
To Apply for this Job Click Here
Head of Engineering
Edinburgh
£130000 - £130000
+ Data Engineering
PermanentEdinburgh
To Apply for this Job Click Here
Head of Engineering
Location: Fully remote
Salary: up to £130,000
The Opportunity
I’m partnered with an AI driven company who are hiring a Head of Engineering.
What You’ll Do
- Lead a 30-person multidisciplinary organisation across Data Engineering, BI, and Data Science
- Own and evolve the engineering and data roadmap in partnership with the CTO
- Drive architecture, scalability, and platform evolution for enterprise clients
- Extend existing systems into new AI-driven search and intelligence use cases
- Champion engineering best practices, delivery standards, and continuous improvement
- Act as a bridge between technical teams, product, and leadership
- Provide leadership across ML, GenAI, and distributed systems initiatives
What We’re Looking For
- Proven experience leading data and/or engineering organisations at scale
- Strong background in data engineering, with close collaboration with data science and MLOps
- Strategic mindset with the ability to go deep technically when required
- Solid understanding of engineering processes, architecture, and modern delivery practices
- Genuine interest in AI, ML, and GenAI systems
Interview Process
- CTO interview
- Meet the wider team
To Apply for this Job Click Here
Lead Data Engineer
Dallas
$130000 - $180000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Lead Data Engineer
Compensation $130,000-$180,000
Hybrid role – Houston or Dallas, TX
We’re hiring a Lead Data Engineer to own and scale enterprise-grade data pipelines and platforms in a cloud-first environment. This role blends hands-on engineering with technical leadership, mentoring, and delivery ownership.
What You’ll Do
- Lead the design and optimization of scalable data pipelines on AWS
- Provide technical leadership and mentorship to a team of data engineers
- Partner with architects and stakeholders on data models and platform roadmaps
- Own delivery planning, estimation, and execution for major data initiatives
- Build robust ELT/ETL, orchestration, CI/CD, and monitoring frameworks
- Champion data quality, governance, security, performance, and cost efficiency
What You Bring
- 8+ years of data engineering experience; 3+ years in a technical lead role
- Deep experience with AWS data services (e.g., S3, Glue, Redshift, Athena, EMR/Spark)
- Strong Python/PySpark or Scala skills and advanced SQL
- Experience building large-scale data lakes and warehouses
- Familiarity with orchestration, DevOps, and infrastructure-as-code
- Strong stakeholder communication and leadership skills
Why Join
- Lead a modern, enterprise-scale data platform
- High visibility and influence over technical direction
- Work with large, complex datasets that drive real business outcomes
- Modern cloud stack and clear growth path into architecture or senior leadership
To Apply for this Job Click Here
Senior Full Stack Engineer
London
£90000 - £130000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Role: Senior Full Stack Developer (C#/.NET)
Salary: £90,000 – £130,000 + bonus + benefits
Location: Central London – 4-5 days per week onsite
Overview
Our client is a high-performing, London-based investment management firm specialising in sports trading. Founded in 2007 and generating £6.11M in turnover last year, they operate globally across football, cricket, US sports, and more. With a flat structure, strong team retention, and a culture focused on autonomy, flexibility, and high impact, they’re now looking to expand their engineering function with two Full Stack Developers.
This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies.
Key Responsibilities
- Design, build, and maintain full-stack software solutions in C#/.NET
* Develop predictive models for real-time sports trading and analysis
* Contribute to greenfield product development with autonomy and ownership
* Collaborate across a highly technical team with strong mathematical expertise
* Solve complex, data-driven problems that have immediate business impact
* Support system integration, testing, and deployment processes
Ideal Candidate
- 5-10 years of software engineering experience
* Strong proficiency in C# and the .NET platform
* Solid foundation in mathematics, statistics, or quantitative problem-solving
* Experience with SQL Server, Oracle, or similar RDBMS
* Comfortable working in a fast-paced, collaborative environment
* Excellent communication skills; fluency in English
* Passion or interest in sports (sports trading background not required)
* Strong tenure and track record of mastery in a domain
Nice to Have
- Experience with JavaScript frameworks (e.g., React)
* Network programming (TCP/UDP)
* Multi-threaded application development
* Familiarity with version control tools (PlasticSCM, Git, etc.)
* Exposure to Windows-based technologies
Tech Stack / Tools
- C# / .NET (latest versions)
* SQL Server
* ASP.NET
* React (optional)
* TCP/UDP protocols
* Git, PlasticSCM
Benefits
- Bonus (paid twice yearly, tied to personal performance)
* Pension scheme
* Private health insurance
* Gym membership (with work-hour access up to twice a week)
To Apply for this Job Click Here
Lead Data Engineer (AWS)
Dallas
$165000 - $175000
+ Data Engineering
PermanentTexas
To Apply for this Job Click Here
Lead Data Engineer- AWS
Our client is looking for a Lead Data Engineer to lead the design, development, and optimization of a cloud-native data platform on AWS, driving migration from onpremises systems, building lakehouse and warehouse architectures, and enabling analytics and AI workloads. Mentor a team of engineers while remaining hands-on with data pipelines, orchestration, and cloud infrastructure.
*Applicants must be U.S. citizens; we are unable to provide sponsorship for this role.
This opportunity is Hybrid- based in Dallas OR Houston, TX
Responsibilities
- Design, build, and optimize ETL/ELT pipelines using Python/PySpark, SQL, and AWS services (Glue, Redshift, Athena, S3, EMR, Lambda).
- Lead data lakehouse/warehouse architecture using Iceberg, Parquet, and Lake Formation.
- Implement workflow orchestration (Airflow, Step Functions) and CI/CD for data pipelines.
- Drive data quality, governance, and security
- Optimize compute, storage, and network usage
- Mentor and guide a team of data engineers; enforce coding standards and best practices.
- Collaborate with architects and stakeholders to define data models, integration patterns, and platform roadmaps.
- Enable analytics and ML/AI pipelines by delivering scalable, reliable data products.
- Optimize compute, storage, and network usage
Qualifications
- 5-7 years of hands-on data engineering; 3+ years in a technical lead role.
- Strong AWS expertise: S3, Glue, Redshift, Athena, EMR/Spark, Lambda, IAM, Lake Formation.
- Proficient in Python/PySpark or Scala and advanced SQL.
- Experience with large-scale ETL/ELT pipelines, data lakes, lakehouses, and warehouses.
- Expertise in data lakehouse architectures (Iceberg, Parquet) and orchestration (Airflow, Step Functions).
- Knowledge of CI/CD, infrastructure-as-code (Terraform/CloudFormation), automated testing, and DevOps practices.
- Strong understanding of data modeling, governance, security, and metadata management.
- Experience designing pipelines to support ML/AI workloads.
- Proven leadership and mentoring skills; able to drive engineering excellence.
- AWS certifications (Data Analytics – Specialty or Solutions Architect) preferred.
U.S. work authorization required | Hybrid role (Dallas or Houston, TX)
To Apply for this Job Click Here
Senior Solutions Architect
Dallas
$206884.9 - $243394
+ Data Science & AI
PermanentTexas
To Apply for this Job Click Here
Senior Solution Architect – Agentic AI
Hybrid – Houston, TX or Dallas, TX
*This position requires U.S. work authorization. We are unable to provide visa sponsorship now or in the future.
About the Role
We are seeking a Senior Solution Architect – Agentic AI to lead the design and delivery of enterprise-scale AI automation, including agentic workflows, multi-agent orchestration, and AI-assisted or autonomous processes across key business functions.
In this role, you will architect advanced AI systems, guide cross-functional delivery teams, and help shape the standards, governance, and reusable frameworks that define enterprise AI excellence.
What You’ll Do
Architect & Deliver Intelligent AI Systems
- Design end-to-end agentic AI and multi-agent solutions using frameworks like LangChain, Autogen, and Azure AI Agent Service
- Build robust orchestration patterns with memory, routing, and human-in-the-loop controls
- Deliver intuitive conversational and autonomous workflows with clear traceability
Lead High-Impact Delivery Teams
- Partner with IT, engineering, and business stakeholders to deploy rapid, high-ROI automation
- Develop reusable components, libraries, and standards for consistent delivery
Define Standards & Governance
- Establish best practices for agent safety, architecture, and validation
- Maintain an enterprise agent registry and reusable solution patterns
Enable Enterprise AI Adoption
- Champion AI capabilities across the organization
- Mentor teams on scalable agentic and generative AI design
What We’re Looking For
Experience
- 10+ years in solution architecture, automation, or enterprise platforms
- 3+ years architecting production-grade agentic AI systems
- Strong delivery background in large, complex enterprise environments
Technical Skills
- Agentic AI frameworks (LangChain, Autogen, Azure AI Agent Service)
- Multi-agent orchestration & generative AI
- Cloud-native architecture (Azure/AWS/GCP)
- CI/CD, IaC, Docker, Kubernetes
- Enterprise integrations (REST, GraphQL, ERP/CRM/ITSM)
- AI security, privacy, and compliance practices
Success Indicators
- Strong tenure and demonstrated internal growth
- Experience owning automation or AI solutions end-to-end
- Ability to translate complex business challenges into scalable AI systems
*US Work Authorization required
To Apply for this Job Click Here
Technical Lead
Austin, Texas
$170000 - $190000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
Responsibilities:
- Own the end-to-end compute platform used by Simulation and ML teams.
- Collaborate closely with internal teams to understand requirements for large-scale autonomous vehicle data.
- Prototype, build, and refine scalable compute solutions, ensuring low latency and high performance.
- Evaluate, integrate, and enhance open-source and internal tools (e.g., Spark, Ray, Beam, Airflow, Argo).
- Lead, mentor, and coordinate engineering teams, providing guidance and documentation for platform adoption.
- Take ownership of platform strategy, balancing hands-on development with leadership responsibilities.
Qualifications:
- Strong proficiency in Python (required); C++ experience highly desirable.
- Hands-on experience with distributed computing frameworks and workflow orchestration (Spark, Airflow, Ray, Beam, Argo, Kubernetes).
- Proven leadership in the architecture and development of large-scale data processing infrastructure.
- Experience handling large-scale data pipelines and understanding ML pipeline requirements.
- Excellent communication and collaboration skills.
- Experience with sensor data from autonomous vehicles or robotics.
- Understanding of ML/AI and experience building ML pipelines.
- Experience optimizing performance and costs of distributed computing systems.
*On Site in Austin, Texas*
*Must have existing authorization to work in the U.S.*
To Apply for this Job Click Here
Data Scientist
Chicago
$120000 - $134000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Data Scientist (LLM)
Location: Chicago
Salary: Up to $134,000 + 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
Software Engineering Manager
$180000 - $230000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Engineering Manager (Full-Stack Software Engineering)
NEW YORK
Up to $230,000
The Company
Join a rapidly scaling, venture-backed tech business that’s redefining how people engage with a traditionally fragmented industry. This is a mission-driven organization combining cutting-edge technology, a vibrant community, and world-class partnerships to empower individuals to build successful businesses. Backed by leading investors and recognized as one of the most innovative companies in its space, this is an opportunity to be part of something truly transformative.
The Role
We’re seeking an Engineering Manager to lead a cross-functional team focused on building smart, scalable tools that deliver exceptional user experiences. You’ll work closely with Product and Design to shape strategy, drive technical excellence, and ensure your team delivers impactful solutions. Expect a mix of greenfield development and enhancing existing systems, all while mentoring engineers and fostering a culture of collaboration and growth.
Key Responsibilities
- Partner with Product and Design to define and execute technical strategy.
- Drive engineering velocity and operational excellence without compromising quality.
- Make informed architectural decisions and anticipate future technical challenges.
- Promote team engagement, skill development, and professional growth.
- Contribute hands-on through code reviews and technical problem-solving.
- Support hiring efforts to attract top engineering talent.
Requirements
- 4+ years in engineering management with a track record of successful delivery.
- 8+ years in web systems development.
- Strong technical acumen and ability to set robust engineering standards.
- Excellent communication and organizational skills.
- Experience mentoring engineers and building high-performing teams.
- Comfortable in a fast-paced, early- to mid-stage environment.
- Entrepreneurial mindset and first-principles approach to problem-solving.
Tech Stack
- Modern Web Frameworks (e.g., React, Next.js)
- Backend Technologies (e.g., Node.js, Python, or similar)
- Cloud Infrastructure (AWS, GCP, or Azure)
- Databases (PostgreSQL, MySQL, or NoSQL solutions)
- CI/CD & DevOps Tools (Docker, Kubernetes, GitHub Actions)
- Testing Frameworks (Jest, Cypress, or similar)
- API Design (RESTful and GraphQL)
Benefits
- Competitive compensation package with stock options.
- Unlimited vacation and comprehensive health benefits.
- Retirement plan with company match.
- Wellness perks and commuter benefits.
To Apply for this Job Click Here
Director of AI
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of AI
New York
up to £350,000 + Bonus + Carry
A leading private equity firm is seeking a hands-on Data & AI leader to drive value across its fintech portfolio. This is a high-impact role blending strategy, delivery, and innovation, working directly with deal teams, C-suites, and Boards.
THE ROLE
- Lead AI/data diligence for new investments
- Build and scale a Data & AI practice across portfolio companies
- Co-create AI-enabled value creation plans (VCPs)
- Drive internal AI transformation and platform development
- Represent the firm through thought leadership and industry engagement
REQUIREMENTS
- Proven track record delivering AI/data initiatives in fintech or regulated sectors
- Experience in PE/VC, consulting, or operator roles with value-creation focus
- Deep expertise in:
- LLMs and agent-based architectures
- End-to-end AI/ML development and deployment (MLOps)
- Data governance, privacy, and responsible AI
- Strong commercial acumen and stakeholder influence
- Ability to lead small, high-performing teams
THE BENEFITS
- Competitive base salary + bonus + carried interest
- High-impact, high-visibility role with direct access to investment teams and portfolio leadership
- Opportunity to shape the future of AI in private equity and fintech
- Hybrid working with offices in New York
If you’re interested in shaping the future of AI in private equity, apply now to explore this unique opportunity.
To Apply for this Job Click Here
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Industry Hub
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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.
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – 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 – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
