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

Senior Machine Learning Engineer | Python | Pytorch | Computer Vision | Hybrid, London

Job Description

**Job Title:** Senior Machine Learning Engineer **Role Summary:** Develop AI-driven solutions to automate 3D photorealistic asset creation using computer vision and ML, focusing on production-ready pipelines for material prediction and scaling. **Expectations:** Translate research into scalable ML products, optimize model performance, and ensure high-quality data for training. **Key Responsibilities:** - Design and implement ML models (e.g., PyTorch/TensorFlow) for 3D-PBR material prediction. - Automate 3D asset rendering pipelines using cloud infrastructure (AWS/GCP) and Blender. - Validate model accuracy via experiments, benchmarks, and alignment with product goals. - Optimize large-scale model training, deployment efficiency, and data pipeline integrity. - Collaborate across research, engineering, and product teams to align AI solutions with user needs. **Required Skills:** - 3+ years in ML model training/deployment with Python, PyTorch, or TensorFlow. - Expertise in distributed computing (multi-GPU/multi-node) on AWS/GCP. - Experience with computer vision models (DINO, SAM, ViTs, Diffusion). - Proficient in model optimization (quantization, distillation, compression). - Strong software engineering practices (ML lifecycle: training, evaluation, deployment). **Required Education & Certifications:** - Bachelor’s/Master’s in Computer Science, Applied Mathematics, or equivalent.

London, United kingdom

Hybrid

Senior

10-10-2025

Company Name

Enigma

Job Title

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Job Description

**Job Title:** Machine Learning Engineer **Role Summary:** Develop and optimize machine learning models for production environments, ensuring performance, reliability, and cost-efficiency through scalable training and inference solutions. **Expectations:** Bachelor’s degree in Computer Science or related field; Master’s preferred. 3-5 years in ML/AI engineering, with experience in distributed training and model optimization. **Key Responsibilities:** Productize research models into production services with SLOs; scale distributed training across GPUs/nodes; implement model efficiency techniques (quantization, distillation, pruning); maintain serving systems (vLLM, TensorRT); integrate with data pipelines (vector stores, Parquet/Delta); track performance/cost KPIs; collaborate with ML Ops and research teams. **Required Skills:** Proficient in PyTorch (primary), TensorFlow; distributed training (DDP, FSDP, ZeRO, parallelism); optimization (profiling, quantization, Flash Attention); scalable serving (autoscaling, batching, streaming); data technologies (SQL/NoSQL, vector stores); full ML lifecycle expertise. **Required Education & Certifications:** Bachelor’s in Computer Science, Electrical/Computer Engineering, or related field; Master’s preferred.

San jose, United states

Hybrid

Junior

19-10-2025

Company Name

Enigma

Job Title

Staff ML Researcher | Biology | Graph Neural Networks | Diffusion | Generative Models| Generative Modeling | Machine Learning Research | Hybrid, Boston

Job Description

Job title: Staff ML Researcher – Biology (Graph Neural Networks, Diffusion, Generative Modeling) Role Summary: Lead end‑to‑end development of AI models in biology, blending research leadership with hands‑on engineering, and driving model design, training, evaluation, and production deployment. Expactations: Proven record of building and deploying advanced ML models in life sciences; strong collaborative coding, code‑review, and testing practices; experience mentoring engineering talent; adaptability and resourcefulness in a fast‑moving research startup. Key Responsibilities: Design, train, and evaluate new GNN, diffusion, and generative models; fine‑tune external models for internal use; establish best practices for third‑party AI tools; maintain data pipelines and production models; recruit and mentor new engineers; serve as bridge between engineering and other teams. Required Skills: Graph Neural Networks, diffusion & generative modeling, biology/chemistry domain knowledge, deep‑learning frameworks (PyTorch/TensorFlow), data engineering, model deployment, code‑review, mentoring, collaborative coding practices. Required Education & Certifications: PhD or MSc in Computer Science, Machine Learning, Bioinformatics, or related field.

Boston, United states

Hybrid

19-10-2025

Company Name

Enigma

Job Title

Data Scientist | Python | Machine Learning | SQL | Large Language Models | Hybrid, London

Job Description

**Job Title:** Research Data Scientist **Role Summary:** Design, prototype, and deploy data‑driven ML and LLM solutions that transform fragmented industry data into actionable insights, driving product impact for underserved blue‑collar businesses. **Expectations:** - 2+ years of applied data science or ML research experience. - Strong background in quantitative analysis (B.Sc./M.Sc./Ph.D. in statistics, CS, math, or related field). - Proven ability to design, run, and rigorously evaluate experiments with appropriate baselines, controls, and metrics. - Comfortable moving quickly from proof‑of‑concept to production in a fast‑moving environment. - Openness to learn new domains; domain expertise not required. **Key Responsibilities:** - Extract and clean legacy data into structured, usable formats. - Design, execute, and statistically evaluate experiments to test hypotheses. - Prototype ML models for forecasting, optimization, and recommendation across sales, inventory, and operations. - Fine‑tune and apply large language models for practical industry workflows. - Collaborate with engineering teams to transition research outputs into scalable production systems. - Lead a culture of experimentation: document results, share learnings, and influence product strategy. **Required Skills:** - Proficiency in Python and core data science libraries (pandas, NumPy, scikit‑learn, XGBoost). - Experience with deep learning frameworks (PyTorch, Hugging Face). - Strong statistical reasoning and experiment design expertise. - Ability to define evaluation metrics and interpret performance. **Nice‑to‑have Skills:** - LLM fine‑tuning and prompt engineering. - SQL/PostgreSQL data querying. **Required Education & Certifications:** - Bachelor’s, Master’s, or Ph.D. in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Engineering).

London, United kingdom

Hybrid

Junior

04-11-2025