ML DEPLOYMENT
TALENT SOLUTIONS
Our recruitment expertise is specifically tailored for Machine Learning Deployment jobs, recognizing the critical importance of these positions in the successful operationalization of machine learning models. We focus on sourcing professionals who are skilled in navigating the complexities of deploying ML models efficiently and effectively in production environments.
Leveraging our global presence, Harnham has access to a diverse and extensive machine learning and data talent pool, enabling us to find data candidates with the specific skill sets required for Machine learning Deployment jobs. Our local market insights across key regions ensure that we provide candidates who not only meet the technical qualifications but also align with your company’s cultural and operational dynamics.
WHY
HARNHAM?
Our deep-rooted experience in data recruitment positions us as the go-to authority in sourcing talent for ML Deployment roles, ensuring we connect you with candidates capable of transforming your machine learning initiatives into successful, scalable solutions.
We prioritize a deep understanding of your organization’s unique ML Deployment needs, enabling us to deliver precisely matched talent solutions, aligned with your specific technical and strategic requirements.
Harnham’s team of hundreds of recruitment specialists across key global locations brings unparalleled staffing solutions, tailored to the specific needs of your organization, irrespective of the industry.
OUR
SERVICES
- Permanent Recruitment: We identify long-term talent for your ML Deployment team, focusing on professionals who can integrate and grow with your organizational goals.
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- Contract Recruitment: Our contract recruitment services provide the agility to meet your immediate ML Deployment needs with highly skilled temporary professionals.
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- Customized Talent Consulting: We offer bespoke talent consulting services, including talent mapping, market analysis, and strategic workforce planning, to optimize your recruitment strategy and build a robust ML Deployment team.
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Contact us today to discover how our specialized services can help you build a high-performing ML Deployment team and drive your organization's success in the machine learning domain.
JOBS
LATEST mL deployment
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Data Scientist
London
£35000 - £40000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London
£40,000
Are you ready to make an impact in one of the fastest-growing businesses in the UK? Do you want to join a company that’s revolutionising an entire industry, making it fairer for people, better for the planet, and more affordable for everyone? We’re working with a rapidly growing tech scaleup, on a mission to change the way the world thinks about insurance. They’ve been recognised for their fast growth, environmental commitment, and dedication to customer experience, and are now looking for an enthusiastic Data Scientist to join their talented Data team.
About the Company:
This company is on a mission to make insurance simple, flexible, and affordable through data and technology. They are passionate about their environmental impact, becoming a B Corp in 2022 and offsetting their carbon emissions every year.
What you’ll be doing:
* Dive into the company’s data platform and immediately start contributing to models that drive important business decisions.
* Work across key projects such as pricing, risk assessment, fraud detection, and more.
* Develop, deploy, and iterate on data models that directly influence business outcomes and customer experiences.
* Collaborate with Engineering, Product, and Commercial teams to deliver innovative, data-driven solutions.
* Help shape and improve the company’s cutting-edge data platform and analytics processes.
* Play a key role in cross-functional projects, contributing to both business strategy and technical development.
* Join a supportive, ambitious team that prioritises your growth and well-being.
What we’re looking for:
* Commercial experience as a Data Scientist
* Strong problem-solving skills with a passion for discovering creative ways to use data for business value.
* Experience working across the full data lifecycle, from data pipelines to model deployment.
* Familiarity with tools like Python (pandas, scikit-learn, TensorFlow/PyTorch), SQL, BigQuery, dbt, or Spark (or an eagerness to learn!).
* Knowledge of statistical methods and machine learning, such as A/B testing and model validation.
* Excellent communication skills, with the ability to simplify technical concepts for non-technical audiences.
* Strong time management skills, with the ability to prioritise tasks and work towards broader company goals.
* A collaborative approach with the ability to work across diverse teams.
How to apply:
Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page
To Apply for this Job Click Here
Senior Data Scientist
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
SENIOR DATA SCIENTIST
3-MONTH CONTRACT
LONDON (HYBRID: 2 DAYS ON-SITE)
£600 PER DAY (INSIDE IR35)
This position as a Data Scientist offers the opportunity to work within a central and innovative team in the aviation sector. The role focuses on optimizing engineering workflows and maintenance operations to enhance aircraft availability. This is an excellent opportunity to deliver impactful solutions in a data-driven environment, where you will collaborate with a growing team of experts.
THE COMPANY
This organization has been at the forefront of innovation in aviation and engineering. The team is dedicated to leveraging data science to improve operational efficiency and address key challenges in aircraft maintenance and resource allocation. With recent investments in data science initiatives, they are driving significant progress and innovation in their domain.
THE ROLE
As a Data Scientist, your primary goal will be to develop a model to optimize task assignment for airline staff. Key responsibilities include:
- Model Development: Creating and deploying an optimization model that assigns teams of employees to specific tasks
- Data Integration: Collecting and consolidating data from various sources to ensure comprehensive and accurate insights.
- Prototyping to Deployment: Working with an existing prototype to refine, test, and operationalize it for production use.
- Tool Usage: Utilizing DataIQ (an end-to-end MLOps tool) for low-code data preparation and model building.
- Collaboration: Partnering with data architects and engaging with users to ensure solutions align with real-world requirements and deliver tangible results.
- Project Deadlines: Completing the project, including testing, by a hard deadline in April.
KEY SKILLS AND REQUIREMENTS
The ideal candidate will have:
- Strong experience in SQL and model optimization.
- Experience in developing and deploying machine learning or optimization models into production (essential).
- Python knowledge (preferred).
- Ability to engage with commercial users and embed solutions effectively into workflows.
- Understanding of MLOps practices, with experience using tools like DataIQ or similar.
HOW TO APPLY
Please register your interest by sending your CV
To Apply for this Job Click Here
Senior Machine Learning Engineer
Manchester
£70000 - £80000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
We are looking for a highly skilled Machine Learning Engineer with strong ML Ops expertise to help design, build, deploy, and manage machine learning pipelines in production environments. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning, data engineering, and experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.
Responsibilities:
- Model Development: Design and develop machine learning models to solve complex problems using a variety of algorithms, including supervised, unsupervised, and reinforcement learning techniques.
- ML Ops Implementation: Develop and deploy ML workflows, integrating version control, automation, and monitoring practices to streamline model development and deployment.
- Pipeline Development: Build and maintain end-to-end machine learning pipelines for continuous integration, continuous deployment (CI/CD), and model retraining.
- Automation: Automate model training, testing, and deployment processes, ensuring high levels of efficiency and reliability in production.
- Model Optimisation: Collaborate with data scientists and engineers to optimise models for production environments, focusing on scalability, speed, and resource efficiency.
- Cloud Integration: Utilise cloud platforms (e.g., AWS, Azure, GCP) for model deployment and infrastructure management, ensuring smooth scaling and resource optimisation.
- Documentation: Maintain clear and comprehensive documentation for model workflows, ML Ops processes, and system architectures.
To Apply for this Job Click Here
Senior ML Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer – LLMs
New York, New York
$180,000-$200,000 base salary + equity + benefits
Harnham is partnered with an AI fintech startup in the New York City area, seeking a skilled Machine Learning Engineer with expertise in building production-ready LLMs. This role sits at the core of the engineering team, where you will directly contribute to the development and deployment of cutting-edge ML models at scale.
If you’re ready to work on impactful solutions using state-of-the-art technologies, this could be the perfect opportunity. You’ll be tasked with implementing innovative ML systems in a fast-paced environment, collaborating across teams to deliver production-ready results.
THE ROLE
- Develop and deploy machine learning and LLM models to enhance platforms in finance.
- Collaborate with the VP of Engineering on technical strategy and execution.
- Drive the development and scaling of ML pipelines, working with millions of data points per project.
- Design and implement code to bring machine learning solutions into production.
- Partner with cross-functional teams to ensure models meet business needs and technical standards.
YOUR SKILLS AND EXPERIENCE
The ideal Machine Learning Engineer will bring:
- Proven experience deploying machine learning models into production.
- Strong Python skills (TensorFlow, PyTorch) for scalable, production-grade development.
- Hands-on experience with cloud platforms, preferably AWS.
- A history of working with large datasets and scalable ML pipelines.
- Practical knowledge of LLMs and advanced ML techniques.
- Strong problem-solving skills and the ability to adapt in a fast-moving environment.
- Prior experience in startups or similar environments is a plus.
- A BS or MS in Computer Science, Engineering, or a related field.
THE BENEFITS
- Competitive base salary of $180,000-$200,000.
- Equity and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your resume to Virginia Brooks via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Production | Fintech | AI | Python | AWS | ML Engineering | Scalable Systems
To Apply for this Job Click Here
Machine Learning Engineer
New York
$170000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Machine Learning Engineer
Cutting-edge AI for Signal Analysis
Location: New York City
Compensation: $170,000-$210,000 + Equity, Health & Retirement Benefits
This is an opportunity to be part of a team that’s using machine learning to make sense of complex signals and enhance safety. If you’re excited by the idea of solving tough problems with immediate, real-world applications, we’d love to hear from you!
About the Company:
Our client is an innovative technology company focused on revolutionizing the understanding of radio spectrum and wireless signals, they are building affordable hardware and leveraging advanced AI systems to identify threats in the environment. Their solutions are capable of detecting signals others can’t, providing critical alerts for safety and defense-related sectors. With a growing presence in both commercial and government defense industries, the mission is to develop AI-driven systems that replace million-dollar legacy systems with more efficient, low-cost alternatives.
The Role:
We are seeking a talented Machine Learning Engineer to join our client’s close-knit team and play a pivotal role in the development of cutting-edge solutions. You will work on applied research to design and implement machine learning models that will advance signal analysis capabilities. The ideal candidate will thrive in a fast-paced environment, work independently, and bring their expertise to the development of machine learning models from the ground up, taking into account the unique constraints of radio frequency (RF) data.
Key Responsibilities:
- Develop and implement machine learning models focused on RF signal processing and analysis.
- Research to improve system performance, tackle novel problems, and optimize algorithms for real-time, critical environments.
- Collaborate with cross-functional teams to deploy AI-driven solutions for defense and safety applications.
- Work on various models and isolated system components to enhance overall product performance.
- Take ownership of defining problems, conducting research, and delivering solutions that meet the company’s needs.
Your skills and experience:
- Proven years of machine learning experience, with a strong background in applied research and model implementation.
- Proven ability to work in a dynamic environment with shifting priorities, and the flexibility to work on various aspects of the product.
- Experience with time-series data, sensor data, or deep learning techniques is a plus.
- Prior work with RF, signal processing, or similar fields is a nice-to-have, but not mandatory.
- Familiarity with cloud computing, deployment, and optimization for cost efficiency.
- Strong problem-solving abilities and creativity in applying machine learning to real-world challenges.
- Ability to work independently and take initiative to drive solutions to completion.
Compensation:
- Base salary range: $170,000 – $210,000, based on experience.
- Equity and a comprehensive benefits package
How to Apply:
If you are a creative problem-solver with a passion for machine learning and cutting-edge technology, send your resume to Virginia using the apply link on this page.
Keywords:
machine learning | artificial intelligence | signal processing | RF data | radio frequency | time-series data | embedded systems | applied research | deep learning | spectral analysis | algorithm development | cloud computing | sensor data | real-time systems | data modeling | distributed systems | innovative technology |
To Apply for this Job Click Here
Senior Engineering Manager – MLOps
New York
$210000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Engineering Manager – MLOps
Hybrid – New York Metro Area
$210,000 – 220,000 / yr, Discretionary Bonus
THE CLIENT
Our client is a top-5 innovator in the financial sector, utilizing cutting-edge technology and engineering to achieve significant business outcomes through advanced systems, data integration, and innovative ideas.
THE ROLE
As the MLOps Manager – Infrastructure, you will:
- Develop and manage Python programming and AI/ML runtime environments.
- Foster a strong Python user community and deliver tools to optimize user workflows.
- Lead the creation of foundational runtime environments to support advanced AI/ML models using GPU hardware and multi-cloud platforms.
RESPONSIBILITIES:
- Define and execute a strategic vision for Python and AI/ML runtime platforms.
- Lead, mentor, and grow a high-performing engineering team specializing in Python and MLOps.
- Drive collaboration and innovation, promoting a culture of continuous improvement.
- Collaborate with stakeholders and industry leaders to design scalable, containerized runtime environments for AI/ML models.
- Implement MLOps and CI/CD principles to develop fully automated build and deployment pipelines.
- Ensure seamless integration and performance of AI/ML frameworks on Unix-based systems and GPU-supported environments.
- Develop user resources, such as example notebooks, to showcase effective AI/ML framework utilization.
- Advocate for best practices in MLOps and stay abreast of the latest advancements in AI/ML software and technologies.
WHO YOU ARE
- Proficient in Python for machine learning or application development.
- Experienced in building and maintaining containerized runtime environments for data science and machine learning.
- Proven leadership skills with the ability to guide and develop engineering teams.
- Strong knowledge of Unix-based systems, CI/CD pipelines, and GPU-supported runtime environments (e.g., CUDA).
- Advanced understanding of Python frameworks, tools, and packages.
- Familiarity with containerization tools (e.g., TensorRT, ONNX, MPI, DeepSpeed) and orchestration platforms like Kubernetes.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and public cloud platforms (e.g., AWS, GCP).
- Exceptional problem-solving abilities and capacity to thrive in dynamic environments.
- Excellent communication skills to convey technical concepts to diverse audiences.
BENEFITS
- Competitive base salary: $210,000-$220,000 (based on experience)
- Performance-based bonus and comprehensive benefits package
HOW TO APPLY
Submit your resume to Jack Wolf via the “Apply” link on this page.
To Apply for this Job Click Here
Marketing Data Scientist
Manchester
£60000 - £70000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Marketing Data Scientist
Remote
Ads, Attributions, CLV
We are working with a large telecoms company who are looking to add a Marketing Data Scientist to their newly formed Digital Marketing team. This person will build attribution and predictive models to look at customer insights. You will also review and measure the success of a campaign.
Role:
- Building Models
- Measure success of a campaign
- Paid Media advertising through Ads
- Python & SQL
- Machine learning and deployment models
- Strong marketing knowledge
To Apply for this Job Click Here
Data Infrastructure Manager
Amsterdam
€90000 - €120000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Title: Data Infrastructure Manager – Azure DevOps and Platform Engineering
Location: Amsterdam, Netherlands
Salary up to 120k
Company Overview:
This company are a dynamic and innovative company committed to leveraging cutting-edge technologies to drive success. They are seeking a talented and experienced Data Infrastructure Manager to join our growing team and lead our efforts in Azure DevOps and Platform Engineering.
Position Overview:
As a Data Infrastructure Manager specializing in Azure, you will play a pivotal role in designing, implementing, and managing the data infrastructure. This position requires a deep understanding of Azure services, DevOps practices, and platform engineering to ensure the reliability, scalability, and performance of our data systems.
Key Responsibilities:
- Lead the design, implementation, and management of data infrastructure solutions on the Azure platform.
- Collaborate with cross-functional teams, including data scientists, software engineers, and operations, to ensure seamless integration of data infrastructure into our overall technology stack.
- Implement and optimize DevOps practices to automate deployment, monitoring, and maintenance processes.
- Oversee the development and implementation of platform engineering best practices for data-related services.
- Ensure high availability, security, and performance of data infrastructure components.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Infrastructure Manager or similar role.
- In-depth knowledge of Azure services, with a focus on data-related offerings (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.).
- Strong background in DevOps practices and tools, with hands-on experience in CI/CD pipelines, automated testing, and infrastructure as code (IaC).
- Expertise in platform engineering, including containerization (Docker, Kubernetes) and orchestration.
- Familiarity with data security best practices and compliance standards.
Skills and Abilities:
- Exceptional leadership and team management skills.
- Excellent problem-solving and troubleshooting abilities.
- Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Proven ability to work in a fast-paced, collaborative environment.
Benefits:
- Great benefits on offer
To Apply for this Job Click Here
Machine Learning Scientist
London
£65000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Machine Learning Scientist
London
£65,000-£80,000
We’re partnering with an AI-focused start-up in the transport space. They’re looking for a Machine Learning Scientist to join their existing team of 15 technical experts to work on projects using simulation and optimisation techniques, as well as machine learning.
THE ROLE
As Machine Learning Scientist for the business you will:
- Use simulation techniques to understand the network in real-time and offer recommendations for real-time interventions
- Optimisation on resource allocation
- Use of predictive modelling and deep learning techniques for various other projects with the aim of improving efficiency in the network
- Take projects from ideation through to deployment and have the ability to work autonomously
SKILLS AND EXPERIENCE
- Master’s or PhD in a relevant subject – preferably in Operational Research / Maths / Statistics / Physics
- Strong commercial experience as a Data Scientist / Machine Learning Engineer working on projects end-to-end
- Experience working with simulation and/or optimisation
- Experience working in a start-up or a desire to do so
- Good communication skills
- Tech: Python, SQL, Cloud technology
SALARY AND BENEFITS
- Basic salary £65,000-£80,000
- London office – required in the office Mondays and Wednesdays
- Wider Benefits package
HOW TO APPLY
Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page
To Apply for this Job Click Here
Principal Data Scientist
London
£75000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Principal Data Scientist
London (onsite)
£80,000-£100,000
We’re partnering with an AI-focused start-up in the Biotech space focused on using AI to advance medicines. They’re looking for a Principal Data Scientist to join their existing team of 3 AI experts to work on projects using multimodal data from various sources, working on projects from research to deployment.
THE ROLE
As Principal Data Scientist for the business you will:
- Read research papers to come up with new ways of using AI to solve business problems
- Lead projects using multimodal data and cutting-edge AI techniques
- Take projects from ideation through to deployment, getting involved in DevOps and Version Control where needed
- Opportunity to mentor junior team members
- Liaise with senior stakeholders across the business
SKILLS AND EXPERIENCE
- Master’s or PhD in a relevant subject
- Strong commercial experience as a Data Scientist / Machine Learning Engineer with a preference for Biotechnology industry experience
- Experience working with cutting-edge AI techniques
- Experience working with large, multimodal data sets from various sources
- Good communication skills
- Tech: Python, SQL, Cloud technology
SALARY AND BENEFITS
- Basic salary £80,000-£100,000
- London office – required in minimum 3 times per week
- Private Medical care
- Discretionary performance-related bonus
- Pension
- Wider Benefits package
HOW TO APPLY
Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page
To Apply for this Job Click Here
Head of MLOps
Jersey City
$240000 - $260000
+ Data Science & AI
PermanentJersey City, New Jersey
To Apply for this Job Click Here
Head of MLOps
Financial Services
Jersey City, New Jersey – 4 days onsite
$240,000-260,000 base + bonus + RSUs
We’ve joined forces with a leading financial powerhouse to find an exceptional leader who will shape the future of their AI/ML platforms. This is your chance to spearhead groundbreaking projects at the cutting edge of technology, with the potential to make a global impact. If you’re a GPU mastermind with a burning passion for building MLOps infrastructure from the ground up, this is the opportunity for you.
The Role
- Lead a team of skilled AI/ML/MLOps Engineers to deliver innovative solutions and solve complex problems in the financial services sector.
- Drive the strategic vision for the firm’s AI/ML frameworks and GPU-powered platforms while staying hands-on with technical execution.
- Define the strategic direction for AI/ML frameworks and GPU-powered platforms.
- Collaborate with internal and external stakeholders to implement best-in-class tools and technologies.
- Apply MLOps best practices to create seamless, efficient deployment pipelines.
- Build and maintain containerized runtime environments for AI/ML workloads.
Skills and Experience
- Expert-level proficiency in Python programming and machine learning frameworks like TensorFlow and PyTorch.
- In-depth experience with GPUs and related technologies, including CUDA.
- Hands-on experience with containerization, cloud platforms, and CI/CD pipelines.
- Direct people management experience of modest-sized teams
- Ability to gain buy-in from stakeholders across the business
- Fluent in machine learning operations, runtime, orchestration and workflow optimization
- Fluent in maintaining containerized runtime environments
- Experience building CI/CD pipelines
- Demonstrated ability to balance strategic leadership with hands-on technical execution.
- BS or MS degree in Computer Science, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $240,000-260,000 + bonus + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | GPUs | Containerization | PyTorch | Python | CUDA
To Apply for this Job Click Here
Senior AI Engineer- Security
District of Columbia
$180000 - $200000
+ Data Science & AI
PermanentDistrict of Columbia
To Apply for this Job Click Here
Senior AI Engineer – Security
Hybrid – Washington, DC
$200,000 USD/year
Are you a seasoned AI professional with expertise in building secure and cutting-edge solutions using large language models (LLMs)? Are you passionate about driving innovation to tackle critical challenges with real-world impact? This could be the ideal next step in your career!
THE ROLE
As a Senior AI Engineer, you will lead the design and development of secure, innovative AI systems, focusing on advancing the capabilities of LLMs. This role combines strategic leadership with hands-on technical execution to deliver creative, high-impact solutions.
Collaborating with cross-disciplinary teams, you will contribute to projects that push the boundaries of AI security and innovation, enabling long-term societal benefits while addressing complex technical challenges.
KEY RESPONSIBILITIES
- Architect and deploy secure AI/ML systems with an emphasis on large language models like GPT or Llama.
- Innovate and prototype AI tools tailored to operational and security-driven needs.
- Design and implement scalable AI pipelines and workflows for impactful solutions.
- Analyze mission requirements and provide cutting-edge solutions in AI security.
- Mentor team members and foster collaboration across diverse technical disciplines.
- Communicate technical concepts effectively to both technical and non-technical audiences.
YOUR SKILLS AND EXPERIENCE
- Extensive expertise in AI/ML, with a focus on large language models and generative AI.
- Advanced skills in Python and frameworks like PyTorch or TensorFlow.
- Proven experience in developing secure, scalable AI systems leveraging LLMs.
- Strong track record of leading impactful AI projects from concept to deployment.
- Proficiency in building machine learning pipelines and operational workflows.
- A passion for advancing AI technology responsibly and creatively.
ABOUT THE ORGANIZATION
This role is with an established, research-driven organization tackling critical challenges across various domains, including AI, cybersecurity, and public interest technology. The team specializes in creating secure and trustworthy AI systems to solve pressing societal issues while fostering a culture of innovation and collaboration.
BENEFITS
Earn a competitive base salary of $200,000 USD/year, along with a comprehensive benefits package, professional development opportunities, and a strong commitment to work-life balance. This is a hybrid role requiring a regular in-office presence in the Washington, DC area.
HOW TO APPLY
Register your interest by sending your resume to Virginia via the apply link on this page.
KEYWORDS
AI security | large language models | Python | PyTorch | TensorFlow | secure AI systems | machine learning pipelines | generative AI | AI innovation | LLM optimization | public interest tech
To Apply for this Job Click Here
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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.
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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.
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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!
