Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
Leads the Computational Drug Design team in advancing drug discovery by integrating AI/ML with computational chemistry. Drives strategy, mentors scientists, and collaborates across disciplines to accelerate candidate nomination. Plays a key role in shaping AI-driven workflows and managing external partnerships.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A...
The Sales Development Representative role involves driving Synthesia's growth through inbound prospecting, qualifying leads, and supporting marketing activities. You will create and activate email sequences, make cold calls, and conduct follow-up communications to set meetings with potential clients.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
As a Principal Scientist in Biologics Drug Discovery, you will play a key role in shaping the target selection, modality choice, and discovery cascades for biologics candidates. You will work closely with computational, machine learning, and translational teams to drive programs from early concept to IND-enabling studies, ensuring that biological insights are translated into well-designed molecules with a clear path to the clinic.
This role involves leading biologics drug discovery programmes from target validation through to IND-enabling studies, with a strong focus on antibody design, engineering, and optimisation. The scientist will integrate experimental data with computational and machine learning approaches, working across interdisciplinary teams to translate biological insights into clinically viable molecules. A hands-on role combining deep technical expertise in biologics with collaborative programme leadership in a tech-driven discovery environment.
This role involves building and shaping data science pipelines and platforms, developing algorithms for time series events, and maintaining data analysis processes. You will work closely with the core science team to generate insights from scientific data, ensuring that the data supports further research and projects.
This role involves building and deploying machine learning models for real-world applications, with a focus on structured and text data using NLP techniques. You'll design data pipelines, apply statistical methods to validate models, and collaborate with domain experts to solve complex analytical problems in financial services. The position emphasizes production-ready systems and clear communication of insights to both technical and non-technical stakeholders.
As the Lead Data Scientist, you'll take ownership of the company's machine learning and predictive modelling capabilities, working closely with experienced founders to design and build scalable forecasting systems. Your role will involve applying machine learning, experimentation, and feature engineering to improve prediction accuracy and drive customer outcomes, while also shaping product strategy and best practices in a fast-moving startup environment.
This role involves developing production-grade C++ software for autonomous robotic systems that operate in real-world environments. You'll work with ROS2 to build and maintain robotic applications, focusing on motion planning, trajectory generation, and integration of perception and sensor systems. The position emphasizes hands-on robotics engineering in collaboration with cross-disciplinary teams.
Lead the development and deployment of deep learning models to enhance credit underwriting, using advanced neural networks on structured and unstructured data. Translate research prototypes into production systems while mentoring junior data scientists and collaborating with stakeholders across the business.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from R&D to production. The position requires strong experience in deep learning, model development, and working with large datasets.
