Benefits:

• competitive compensation package

• pension contributions

• flexible holiday allowances

Education Requirements:

• PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Demonstrated expertise applying deep learning to omics data at scale

• Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

• Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

• Solid grasp of causal inference, experimental design, and statistics

• Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

• Identify, prioritize, and acquire multi-omics datasets

• Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

• Design schemes for pretraining and finetuning Enchant on multi-omics data

• Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

• Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

Benefits:

• competitive compensation package

• pension contributions

• flexible holiday allowances

Education Requirements:

• Bachelor's degree

• Master's degree

• PhD

Experience Requirements:

• Minimum of 8 years of related experience with a Bachelor's degree

• 6 years and a Master's degree

• PhD with 3 years experience

Other Requirements:

• Technical acumen to develop and maintain ML systems used by the ML team

• Experience with ML systems that are cloud-based and frequently process TBs of data

• Experience working with scientific computing/lab environments (e.g. has used or administered SLURM)

• Demonstrated competence and rigor in software development

• Strong python software skills

Responsibilities:

• Work in a cross-functional team that spans the full domain of drug discovery

• Support a software system that performs biomolecular simulation

• Provide software development support to the ML model life cycle, working in the design and development of: efficient and maintainable data pipelines

• Benchmarking systems of models

• Deployments to AWS and use of Kubernetes (in collaboration with our cloud engineers)

Benefits:

• Competitive compensation package with 28 days holiday plus UK bank holidays

• Internal mentoring and training initiatives

• Flexible working hours

• Private medical insurance

• Health cash plan

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science or “STEM” (Science, Technology, Engineering and Math) or related working experience

Experience Requirements:

• Minimum 5 years of industrial experience in software development, with a strong proficiency in modern C++ programming language

Responsibilities:

• Proactively participate in design and architecture discussions and suggest potential improvements to the existing and future products as well as internal tools

• Collaborate with product managers, team leaders, and other stakeholders to understand product requirements and generate innovative proposals and ideas

• Lead on a full cycle of design and development from the initial proof of concept prototype to the final fully tested and evaluated product

• Be autonomous, driven and proactive and be able to work independently with minimum supervision and ability to mentor and manage more junior members of the team

• Propose new ideas and share them within the team and also be able to represent their work to the technical and non-technical staff

Benefits:

• A fun, supportive and engaging environment

• Opportunity to work on cutting edge technologies with the top talent in the field

• Competitive compensation package with 28 days holiday plus UK bank holidays

• Internal mentoring and training initiatives

• Flexible working hours

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science or “STEM” (Science, Technology, Engineering and Math) or related working experience

Responsibilities:

• Develop a thorough understanding of our SLAM stack and develop ideas for its improvement across all aspects of the algorithms involved

• Implement state-of-the-art computer vision algorithms for SLAM

• Develop understandable, clean and documented code which is well-tested by creating appropriate unit tests

• Implement new features for our product

• Be able to work independently

Benefits:

• A fun, supportive and engaging environment

• Opportunity to work on cutting edge technologies with the top talent in the field

• Competitive compensation package with 28 days holiday plus UK bank holidays

• Internal mentoring and training initiatives

• Flexible working hours

Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Robotics or Computer Science or a related field or significant personal software development experience

Responsibilities:

• Develop a thorough understanding of our SLAM stack and develop ideas for its improvement across all aspects of the algorithms involved

• Implement state-of-the-art computer vision algorithms for slam

• Ensure code is well tested by creating appropriate unit tests

• Share ideas within the team and provide an explanation of new algorithms