AI & MACHINE LEARNING
TALENT SOLUTIONS
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
Machine Learning Engineer
London
£500 - £560
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
ML Engineer
£500-£560
The Company
They are a well‑established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact.
The Role
In this role, you will:
* Design and implement pipelines for training, evaluating, deploying, and monitoring detection models
* Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows
* Collaborate with backend and product teams to define integration requirements for trust detection services
* Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real‑time model serving, feature consistency, and monitoring
* Uphold strong standards around testing, observability, and operational excellence
* Contribute to a scaling engineering culture where experimentation and measurable outcomes are central
Your Skills and Experience
* Strong commercial experience building and deploying ML pipelines in production
* Experience with asynchronous ML inference pipelines
* Deep understanding of end‑to‑end ML workflows from research through to deployment
* Ability to operate with ownership in complex, fast‑moving environments
* Strong communication skills for working with both technical and non‑technical stakeholders
* Experience designing systems within modern cloud environments such as AWS or GCP
* Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit‑learn
* Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing
* Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow
How to Apply
If you are interested in this Machine Learning Engineer position, please apply with your CV.
To Apply for this Job Click Here
AI Transformation Lead (Enterprise Workflows)
London
£750 - £1000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
AI Transformation Lead (Enterprise Workflows)
Contract | £700-£900/day
London (Hybrid)
Outside
We are working with a leading digital platform business undergoing a major AI transformation programme across the organisation. They are investing heavily in embedding AI into how teams operate, and are looking for a senior transformation lead to drive this across core corporate functions.
This is a high-impact role focused on reimagining and optimising workflows across areas such as Marketing, Finance, Legal, People, and Operations. You will work closely with senior stakeholders to translate AI capability into real, measurable business outcomes.
The Role
You will lead the enterprise workflow transformation workstream, taking ownership of how AI is embedded into day-to-day business processes.
Key responsibilities include:
Partnering with VP and Director-level stakeholders across multiple functions
Mapping current-state workflows and identifying opportunities for AI-driven automation
Designing target-state processes and defining longer-term transformation roadmaps
Reimagining roles, tasks, and operating models with AI embedded
Driving delivery from concept through to implementation and measurable impact
Producing clear documentation, process maps, and transformation plans
Your Profile
We are looking for someone who combines strong transformation experience with a practical understanding of how AI can be applied in business environments.
Experience required:
Proven experience leading large-scale business or digital transformation programmes
Experience working across multiple corporate functions (e.g. Finance, HR, Legal, Operations)
Strong stakeholder management at Director/VP level
Ability to map and redesign complex workflows and operating models
Experience driving adoption of new technologies or automation tools
Understanding of AI/LLM capabilities and how they can be applied to business processes
Strong communication skills with the ability to bring structure to ambiguous environments
Desirable:
Experience working on AI or automation-led transformation programmes
Background in consulting or transformation roles within large organisations
Experience defining “North Star” operating models and long-term transformation strategies
The Opportunity
This is an opportunity to play a key role in a major AI transformation programme, shaping how a well-known organisation embeds AI across its core business functions. You will have significant visibility with senior leadership and direct impact on how the business operates.
To Apply, please email
To Apply for this Job Click Here
Senior Backend Engineer
Los Angeles
$180000 - $220000
+ Data Engineering
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior Backend Engineer – Los Angeles (Hybrid) – $175,000 – $215,000
We’re building advanced avatar and AI companion technology that powers the next era of interactive digital identity. Our platform enables developers and creators to build game‑ready AI characters, personalized digital assets, and rich real‑time experiences. If you’re passionate about high‑performance backend systems, AI‑driven products, and solving complex engineering challenges, this role is for you.
What You’ll Do
- Build and maintain backend microservices powering mobile and web experiences
- Design and develop large‑scale ML infrastructure and compute‑heavy systems
- Architect and optimize real‑time pipelines for reliability, performance, and scale
- Develop backend applications that integrate ML models and data workflows
- Improve automation, testing, CI/CD, security, and deployment practices
- Collaborate with product and engineering teams on roadmaps and requirements
- Contribute to architectural decisions, code reviews, and team mentorship
What You Bring
- 3+ years of professional software engineering experience
- Strong proficiency in Python or Golang
- Experience building or supporting ML systems and high‑compute workloads
- Strong fundamentals in algorithms, data structures, and distributed systems
- Background with AWS or GCP, REST APIs, microservices, NoSQL/SQL databases
- Familiarity with IaC, CI/CD pipelines, caching, event‑driven architecture
- A proactive, collaborative, and creative engineering mindset
- Excellent written and verbal communication skills
What We Offer
- Competitive equity packages
- Comprehensive medical, dental, and vision insurance
- Unlimited PTO + company holidays
- Paid parental leave
- Monthly wellness reimbursement
- Hybrid work structure (LA-based, 4 days onsite)
- Modern, creative office environment
- Strong culture of ownership, growth, and innovation
Our Culture
A fast‑growing, well‑funded startup that values curiosity, creativity, and thoughtful engineering. You’ll have the autonomy to shape systems from the ground up, influence technical direction, and work alongside people who love solving big, meaningful problems.
Interested?
If you’re excited about building scalable backend systems that power next‑generation AI and digital identity experiences, we’d love to connect.
Apply or message directly to learn more.
To Apply for this Job Click Here
Senior Backend Engineer
San Francisco
$180000 - $225000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior Backend Engineer
Los Angeles, CA (Hybrid) | $180,000 – $225,000
⚙️ AI * Distributed Systems * High-Compute Pipelines
I’m partnering with a fast-growing AI technology company that’s building large-scale backend systems powering intelligent, interactive digital experiences. They are preparing for major product launches and significant user growth, and are looking for a Senior Backend Engineer to join their core engineering team.
What You’ll Do
- Develop and scale APIs, microservices, and core backend systems
- Work across TypeScript, Go, and/or Python in production environments
- Contribute to multi-stage compute pipelines involving GPU workloads
- Drive improvements in performance, throughput, and system reliability
- Partner closely with ML, infrastructure, and product teams
What the Client Is Looking For
- 3+ years of backend engineering experience (mid-senior)
- Strong experience in TypeScript, Go, or Python
- Solid understanding of networking fundamentals and concurrency
- Experience building production APIs and service architectures
- Bonus: exposure to GPU compute, ML inference, or high-scale environments
Why This Role Stands Out
- High ownership within a lean, senior engineering team
- Work at the cutting edge of AI, 3D tech, and large-scale distributed compute
- Opportunity to shape core architecture during a major scale-up phase
- Strong funding and ambitious long-term roadmap
If this sounds interesting, drop me a message. Even if you’re just exploring or curious about what’s next, I’d love to share more – this is genuinely one of the most exciting backend roles in the AI space right now.
To Apply for this Job Click Here
Data Science Manager (Recommendation Systems)
Canada
$180000 - $240000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Data Science Manager (Recommendation Systems)
Remote (Canada)
$180,000 – $240,000 CAD base + equity + benefits
About the Company
This organization builds widely used collaborative software that helps distributed teams plan, design, and execute complex work together. The platform supports millions of users who rely on it to organize ideas, coordinate projects, and make decisions more effectively.
Engineering teams operate in small, autonomous groups that own meaningful product outcomes. The culture emphasizes practical problem solving, thoughtful experimentation, and systems that deliver measurable value to users.
Data science plays a central role in shaping how users discover content, navigate workflows, and extract value from the platform. Machine learning systems directly influence user engagement, retention, and overall product growth.
About the Role
This is a hands-on leadership role responsible for building and evolving the machine learning systems that power personalized experiences across the product.
You will lead a small team of data scientists while remaining actively involved in system design, model development, and production deployment. A primary focus of the role is the development and scaling of recommendation systems that help users discover relevant content, workflows, and collaboration opportunities.
You will partner closely with product, engineering, and business teams to identify high-impact opportunities where recommendation models and predictive systems can improve user experience and drive measurable business outcomes.
Success in this role will be defined by the performance of deployed systems – particularly recommendation models that improve discovery, engagement, and retention across a large user base.
Key Responsibilities
- Design and deploy production recommendation systems that personalize product experiences for users
- Lead development of machine learning models that improve content discovery, engagement, and user retention
- Architect scalable pipelines for feature generation, model training, evaluation, and deployment
- Establish clear success metrics for recommendation models and continuously improve system performance
- Hire, mentor, and develop a small team of data scientists focused on applied product impact
- Partner with product and engineering teams to identify opportunities where recommendation systems can drive measurable improvements in user experience
- Build experimentation frameworks to evaluate ranking strategies and recommendation effectiveness
- Guide the evolution of recommendation architecture as the product and user base continue to scale
Must Haves
- 6+ years building and deploying machine learning systems in production environments
- 2+ years leading or managing data scientists or machine learning engineers
- Demonstrated experience developing recommendation systems at scale
- Strong Python expertise and experience building production ML pipelines
- Experience with ranking models, collaborative filtering, or similar recommendation techniques
- Experience translating product or business problems into measurable ML solutions
- Strong understanding of the full ML lifecycle including feature engineering, training, deployment, and monitoring
Nice to Have
- Experience designing experimentation platforms or evaluating ranking algorithms
- Background in user behavior modeling, personalization, or search ranking
- Experience working with large-scale product datasets or distributed data platforms
- Familiarity with production backend systems or modern software engineering practices
Why Join
- Own the recommendation systems that shape how users discover and interact with the product
- Lead a high-impact data science team solving complex personalization challenges
- Work closely with product and engineering leaders to shape the future of machine learning within the platform
- Opportunity to influence systems used by millions of users globally
- Competitive compensation, equity participation, and comprehensive benefits
- Remote-first culture across Canada with strong technical standards and a collaborative engineering environment
To Apply for this Job Click Here
AI/ML Engineer
New York
$80 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
AI Developer – New York Start-Up
Harnham, the leading recruitment specialist in Data and AI is currently partnering with an organization which has just received their seed round of funding are they are looking to rapidly build out their team here in NY to build & deploy releasable products.
- Role – AI Developer
- Location – New York (onsite 5 days per week)
- Pay – $80 – $120 per hour
- Length: Extendable 3 months initial contract
- Utilization: 40 hours per week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As an AI Engineer you will be at the bleeding edge of Chip & Semiconductor design. You will be working with leading pioneers of Chip design & AI Research based in New York to combine cutting-edge AI with deep semiconductor design.
You will be designing, building & deploying ML Models & Agentic workflows to drive RTL optimization and to build the technology of tomorrow.
Requirements:
- 5 years’+ demonstrable experience working on LLM Systems or AppliedAI Research
- Strong ML tools such as PyTorch, HuggingFace & MLFlow
- Reinforcement Learning experience
- Production AI experience
- Experience working with LLMs
If you are interested in this opportunity, then please feel free to apply below or contact Ciarán to discuss more
To Apply for this Job Click Here
Power BI Developer
$60 - $65
+ Advanced Analytics & Marketing Insights
ContractMaryland
To Apply for this Job Click Here
Power BI Developer (Contract – Remote)
An organisation delivering advanced data and AI solutions for large enterprises and public sector clients is seeking a Power BI Developer to join their analytics team on a contract basis.
This role focuses on helping organisations better understand and utilise their data through strong requirements gathering, data modelling, and business intelligence development. You will design and deliver Power BI dashboards and reports, work within modern cloud data platforms, and collaborate with stakeholders to generate actionable insights.
This is a remote contract role running through August 2026, though you should be local to Washington DC.
Responsibilities
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Design and develop Power BI reports and dashboards that provide clear, actionable insights
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Conduct deep-dive analysis using SQL and BI tools to identify trends, patterns, and opportunities
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Build and maintain interactive dashboards, ensuring performance, usability, and consistency
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Support ETL processes and data pipelines within a cloud-based data environment
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Work with data lakes and warehouse environments to understand data ingestion, storage, and transformations
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Develop and maintain ERDs and data dictionaries to document data structures and definitions
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Gather and translate business requirements into effective reporting and analytics solutions
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Support data governance, lineage, and metadata management practices
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Collaborate with stakeholders to understand reporting needs and deliver scalable BI solutions
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Assess and improve existing reporting solutions, including converting legacy reports into Power BI dashboards
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Define and develop metrics to measure operational performance and organisational health
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Maintain data quality and reliability across internal and external data sources
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Present findings and insights clearly to both technical and non-technical stakeholders
Requirements
-
Bachelor’s degree or equivalent experience
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5+ years of experience in data and analytics roles within cloud environments
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Advanced Snowflake SQL proficiency
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Advanced Power BI expertise, including data modelling, DAX, and report optimisation
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Experience working within Azure-based data ecosystems
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Experience creating ERDs, data dictionaries, and supporting data governance initiatives
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Strong experience gathering and translating business requirements
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
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
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
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
AI Engineer
City of London
£90000 - £100000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
AI Engineer – Crypto Start Up
We are working with a Crypto Start-up company looking to hire a Machine Learning / AI Engineer
Requirements:
- RAG, LLM, GenAI experience
- Strong Data science experience
- Deployment / engineering experience
- Interest in Crypto
To Apply for this Job Click Here
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With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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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 – 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 – 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 – 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 – 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 – 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
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.
