Enigma
About the Company
Here at Enigma, we specialize in Generative AI recruitment, specifically focused on Machine Learning and Software Engineering disciplines. With a combined experience of 20+ years, we understand the intricacies of finding the perfect role as well as the right talent for your team.
But what sets Enigma apart? Our consultative approach. We don't just match candidates with job openings; we guide candidates, founders, and hiring managers through the recruitment process. Our value-added services go beyond traditional recruitment efforts, offering services such as recruitment process structuring, salary benchmarking, share allocation, CV reviews and so much more.
We're more than recruiters – we're partners in your success journey. Our mission is not only to connect you with exceptional talent and companies but also to support your growth and success every step of the way. We're committed to your success. Let us partner with you to connect you with people and companies alike, that will drive growth and innovation for years to come.
Listed Jobs
- Company Name
- Enigma
- Job Title
- Python Engineer | Backend | AWS | Biology
- Job Description
-
Python | Backend | AWS | Biology | Software Engineer | Must have some familiarity with Biology – Either commercially or in Academia
The Role
You will play a pivotal role in building and scaling internal tools. Your main responsibility will be owning and developing the target identification platform, ensuring it is well-tested, scalable, and seamlessly integrated with other components of their system. You will ensure the tool is maximally useful for research while remaining flexible for future advancements. There is also an opportunity to explore emerging technologies, such as agentic LLMs, to enhance internal scientific tools.
What We’re Looking For
We are looking for candidates with a strong software engineering background who have some familiarity with biology, even if not in a research capacity. This role requires a willingness to engage with biological concepts and integrate them into software development.
Key Responsibilities
Lead the development of our target identification tool, ensuring robustness, scalability, and seamless integration with the broader platform.
Collaborate with scientific, ML, and data teams to translate research needs into software solutions.
Architect modular and future-proof software that evolves with scientific and computational advancements.
Apply best practices in coding, testing, and documentation for long-term maintainability.
Participate in agile methodologies, contributing to planning, development, testing, and deployment.
Core Competencies
Strong proficiency in Python and backend development principles.
Some experience or familiarity with biology and a willingness to deepen that knowledge.
Experience with AWS services and Kubernetes (GCP exposure is a plus).
Excellent communication skills and ability to work across technical teams.
Pragmatic approach to troubleshooting and problem-solving in a fast-paced environment.
Python | Backend | AWS | Biology | Software Engineer | Must have some familiarity with Biology – Either commercially or in Academia
London, United Kingdom
Hybrid
01-04-2025
- Company Name
- Enigma
- Job Title
- Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford
- Job Description
-
Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford
About the Organisation
A leading technology institute that works to develop and deploy advanced technology in pursuit of solving some of humanity’s most challenging and enduring problems. Guided by leading scientists and entrepreneurs, they seek to accelerate innovation by driving scientific and technological advancements across four key areas: health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation and the era of artificial intelligence.
Their Culture
We believe that an inclusive, collaborative team atmosphere is just as important to our mission as our scientific aims and methods.
We strive to build a supportive environment where everyone feels confident taking creative risks toward innovation. We value emotional intelligence and communication with empathy and respect for others.
We foster a team that is curious, committed, responsible, and resilient in the pursuit of excellence.
About the AI Capability
We are a team of AI researchers, Applied AI scientists, data and software engineers. We work across all our key areas, supported by world-class data platforms and large-scale compute.
AI is at the heart of how the institute tackles humanity's most pressing challenges. Our mission is to harness state-of-the-art statistical machine learning to dramatically increase the impact of our programmes and discover novel AI approaches for even greater future impact.
To achieve this, we unite:
The expertise of multi-disciplinary scientists and our full-stack machine learning teams.
World-renowned AI scientists across partner institutions, discovering breakthroughs in foundational machine learning research.
The brilliance of the brightest graduate students, funded by our scholarship network.
Position
We are currently looking for multiple Data Scientists to join on a permanent basis, working across multiple different business areas such as health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation.
Your day-to-day:
Researching and developing new models and techniques to tackle key business challenges
Overseeing the production and maintenance of systems
Conducting code reviews and collaborating on various projects across teams
Providing mentorship and coaching, facilitating career growth within the team
Engaging in project rotation for a fresh perspective and sustained engagement
Proposing new initiatives and collaborating in team OKR crafting
Participating in morning stand-ups and weekly prioritisation meetings
Your skillset:
We're on the hunt for a driven individual who employs a scientific approach to data, where the following qualities are paramount:
Excellent problem-solving skills: Tackle a wide array of challenges through independent work and collaboration
Innovation and curiosity: Work across the business to understand challenges and develop practical solutions
Self-starter: Identify issues and opportunities independently, constantly seeking to learn and innovate
Team player: Collaborate effectively, accept feedback, and provide mentorship
Communication skills: Influence stakeholders and articulate data science concepts to non-technical audiences
Required Experience
Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting
Designing experiments and modelling to generate actionable insights and enhance business performance
Proficient in machine learning and statistical methods for predictive modelling and forecasting
Experience deploying ML models to production at scale
Solid understanding of SQL
Proficiency in unit testing, CI/CD, model management and experiment tracking
Excellent compensation
Hybrid working position, 2 days per week in Oxford
Permanent position
If you are interested in finding out more about this hire, please reach out to tom@enigma-rec.ai for immediate consideration.
Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford
Oxford, United Kingdom
Hybrid
14-04-2025
- Company Name
- Enigma
- Job Title
- Machine Learning Researcher
- Job Description
-
Machine Learning Researcher | Deep Learning | Graph Neural Networks | Python | PyTorch
About Us
We are a growing techbio start-up based in London, UK, developing advanced AI technologies for drug discovery, and backed by leading European and US DeepTech venture capital firms. Our mission is to design small molecule therapeutics targeting some of the most challenging human diseases.
Responsibilities
Lead and manage multiple complex scientific projects to advance the organization’s goals.
Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures.
Train and assess ML-based interatomic potentials and integrate them with biomolecular simulation tools.
Collaborate closely with team members in biomolecular simulation and computational science to design a cutting-edge computational drug discovery platform.
Help build robust training and testing datasets with the scientific team.
Join an interdisciplinary team focused on advancing AI and physics-based approaches in drug discovery.
Requirements
PhD or postdoctoral experience in computational chemistry, molecular physics/engineering, computer science, or a related discipline with a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience.
Demonstrated track record in developing machine learning models and graph neural networks for 3D atomic systems.
Experience working with machine-learned potential energy surfaces.
Proficiency with ML frameworks such as PyTorch or JAX.
Strong background in scientific programming using Python.
Excellent communication skills in English.
Experience working in interdisciplinary scientific environments.
Desirable Skills
Experience curating quantum mechanics (e.g., DFT) datasets for ML training.
Knowledge of generative models for 3D atomic structures.
Familiarity with distributed computing (CPU/GPU) on clusters or cloud platforms.
Competency in modern scientific software development practices (e.g., version control, containerization, CI/CD) and an interest in writing clean, efficient code.
Prior experience in computational drug discovery within industry.
Additional Info
If your profile doesn’t match every requirement, or you’re unsure which role fits best, we still encourage you to apply.
Position Type
Full-time role based in London (Marylebone area)
Start date: As soon as possible.
Benefits
Competitive salary and equity package.
Influence the direction of computational research from day one.
Opportunity to contribute to frontier scientific and computational innovation.
Additional benefits evolving with team input as the company grows.
Interested?
Applications are reviewed on a rolling basis — apply now to be part of the future of AI-driven drug discovery.
Machine Learning Researcher | Deep Learning | Graph Neural Networks | Python | PyTorch
London, United Kingdom
On site
27-04-2025
- Company Name
- Enigma
- Job Title
- Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN
- Job Description
-
Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN
We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab assays.
This company specializes in developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment to creating significant positive global impact.
Requirements
Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature).
Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and production code. They have experience running models on cloud hardware and parallelizing data and models across accelerators.
Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction.
Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance.
Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability.
Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively.
Desired Qualifications
Experience in computational biology or protein design: Experience with ML-driven projects in biology is advantageous.
Natural science background: Academic training in fields like physics, biology, or chemistry is a plus.
Key responsibilities
Develop machine learning models with real-world applications (~90%):
Curate and manage training and evaluation data.
Design and implement ML evaluation metrics aligned with organizational goals.
Rapidly prototype generative models and perform detailed analyses of their performance.
Collaborate with researchers, engineers, and designers, maintaining a high-quality codebase.
Support the maintenance of compute and ML infrastructure.
Coordinate with biology teams for wet lab testing campaigns and conduct model inferences for biological target testing.
Incorporate feedback from wet lab results to refine and improve models.
Engage in self-development (~10%):
Stay updated on the latest ML research and advancements.
Develop a strong understanding of protein and cell biology.
Share knowledge by organizing and presenting in reading groups or at conferences.
Excellent compensation - six figures+ & equity
Hybrid Working – 3 days p/w onsite. Central London
Permanent position
If you are interested in finding out more about this hire please reach out to tom@enigma-rec.ai for immediate consideration.
Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN
London, United Kingdom
On site
27-04-2025