DEEP LEARNING TALENT SOLUTIONS
With over two decades in data recruitment, Harnham has cultivated a deep understanding of the AI and Deep Learning landscape. This experience equips us to expertly navigate the complexities of Deep Learning and AI roles, ensuring we source candidates who are both highly skilled and a perfect fit for your organization.
Our dedicated team's expertise is specifically tailored to the field of AI and Deep Learning. We understand the intricate balance of skills required in this domain, from advanced analytical abilities to practical experience in developing and implementing AI systems.
Our targeted approach ensures we connect our clients with professionals who can drive technological innovation and business success.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom.
This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Deep Learning talent.
We recognize the unique nature of each organization's Deep Learning needs.
Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Deep Learning projects and initiatives.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Deep Learning field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Deep Learning capabilities.
JOBS
LATEST Deep
LEARNING OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Deep Learning Engineer
Cambridge
$200000 - $220000
+ Data Science & AI
PermanentCambridge, Massachusetts
To Apply for this Job Click Here
Research Engineer – Deep Learning
Cambridge, MA – 4 days onsite
$200,000 – $220,000 + bonus + equity
THE COMPANY
Harnham is partnering with a well-funded biotech startup that is developing an AI-driven approach to more personalized cancer monitoring-integrating proprietary methods, diverse datasets, and evolving diagnostic capabilities to support ongoing care for individuals with elevated risk. The team brings experience across genomics and health data modeling, applying these foundations toward new screening and recommendation approaches, with a focus on translating research into practical clinical applications.
RESPONSIBILITIES
- Model Development & Deployment – Develop, train, and deploy ML models for biomarker detection, risk stratification, longitudinal monitoring, and decision-support systems for screening and survivorship.
- ML Infrastructure – Build and maintain scalable pipelines for data ingestion, feature engineering, training, and model serving on cloud platforms (e.g., AWS, GCP).
- Data Engineering – Collaborate with clinical and data teams to curate and manage high-quality, multi-modal datasets (e.g., genomics, imaging, EHRs).
- Research to Production – Turn advanced research into real-world systems, including adapting foundation models and integrating multi-modal learning into clinical workflows.
- Evaluation & Monitoring – Implement evaluation frameworks, experimentation pipelines, and monitoring tools to ensure robust, clinically reliable performance.
- Collaboration – Partner with clinicians, researchers, product managers, and engineers to align technical solutions with healthcare needs.
SKILLS AND EXPERIENCE
- MSc or PhD in computer science, machine learning, computational biology, or a related field
- Proven experience building and deploying ML models in production
- Strong Python skills and experience with frameworks like PyTorch, JAX, or TensorFlow
- Familiarity with cloud GPUs/TPUs, modern ML pipelines, and containerization (e.g., Docker)
- Solid software engineering practices (version control, testing, CI/CD, code review)
- Ability to communicate complex concepts to technical and non-technical audiences
- Experience with healthcare or biomedical data (e.g., genomics, pathology, EHRs)
- Publications or open-source contributions in relevant fields
- Startup or entrepreneurial experience, especially in fast-paced environments
- Experience building ML systems from zero to one
BENEFITS
The compensation package contains a base salary, bonus, equity and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | AI | Deep Learning | Machine Learning | ML Engineer | Production | Real Time | Cancer Detection | Statistics | Reinforcement Learning | Foundation Modeling | Foundational Models | Anomaly Detection | Publications | Biotech | Health-tech | Genomics | Oncology | Pathology | EHR | Electronic Health Records | GPU | TPU | Startup | Engineering | End-to-end | Deployment | Container | Docker | CI/CD | CI / CD | Integration

To Apply for this Job Click Here
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Industry Hub
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