resolving production issues. Key Skills & Experience 5–10 years’ experience in quantitative development within Investment Banking, Finance, or Commodities (energy, oil, gas, power, etc). Advanced degree (MSc/PhD) in Maths, Physics, Financial Engineering, or related field. Deep understanding of option pricing theory (Black-Scholes, local/stochastic volatility, Monte Carlo). Expert Python developer with strong numerical and More ❯
high-performing data science teams 10+ years relevant experience, exceptional communication skills to influence at all levels Proven track record translating cutting-edge research into production systems Advanced degree (PhD preferred) in quantitative discipline Extensive Python programming/modeling experience, and deep expertise in ML for time-series and probabilistic modeling Having an established network in computational biology/ML More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
to deployment. Collaborate with clinicians, engineers, and product teams to translate scientific findings into scalable tools. Contribute to model evaluation, explainability, and validation across diverse data sources. About You PhD in Machine Learning, Computational Biology, Statistics, Bioinformatics, or related quantitative field. Background in cardiovascular, cardiometabolic, or precision medicine research. Proven experience developing deep learning models using Python, PyTorch, or TensorFlow. More ❯
support experimentation and deployment Publish original research and contribute to the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
to deployment. Collaborate with clinicians, engineers, and product teams to translate scientific findings into scalable tools. Contribute to model evaluation, explainability, and validation across diverse data sources. About You PhD in Machine Learning, Computational Biology, Statistics, Bioinformatics, or related quantitative field. Background in cardiovascular, cardiometabolic, or precision medicine research. Proven experience developing deep learning models using Python, PyTorch, or TensorFlow. More ❯
challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯
AI . Reinforcement learning and optimization techniques . MLOps practices & data pipelines . Ability to review code, design architectures, and guide technical teams . Advanced degree (Master’s or PhD is a plus) in Computer Science, AI, Data Science, or related technical field. Preferred Qualifications Experience with digital twins, IoT/OT data, and smart systems . Familiarity with vector More ❯
support experimentation and deployment Publish original research and contribute to the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Randstad Digital
management. Resolve oversight challenges in methodology, scenario design, assumptions, and decision linkage. Ensure complete CSRBB and IRRBB coverage and capture all risk drivers. Qualifications & Experience Education: Master's or PhD in a quantitative field (Economics, Finance, Mathematics). Experience: 5+ years in banking/financial services with exposure to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on More ❯
challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯
challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯
REMOTE, St James's Square, Greater London, United Kingdom Hybrid/Remote Options
Morris Sinclair Recruitment
challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
MORRIS SINCLAIR RECRUITMENT LTD
challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯
success. You thrive at the intersection of data science and software engineering, translating project outputs into tooling and products. With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're truly excited about growing your technical expertise and are naturally inclined to take ownership More ❯
experience with comprehensive unit testing, integration testing, and test coverage strategies Experience working with Product Management teams and ability to translate complex technical concepts for non-technical stakeholders Education PhD's, Master's, or Bachelor's degree in Computer Science, Machine Learning, or related field Driving Continuous Improvement Driving for Results Driving Projects to Completion Interacting with People at Different More ❯
agentic models. Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About you: Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS More ❯
Infrastructure as Code to deploy cloud- based infrastructure Proven experience developing and deploying MS Copilot Agents as part of the delivery of business-facing solutions (Desirable) Degree, Masters or Doctorate in Software Engineering, Computer Science or ML/AI related subject What Kubrick offers: A fast moving and fast growth business which is doing something seriously innovative and valuable. We More ❯
Infrastructure as Code to deploy cloud- based infrastructure Proven experience developing and deploying MS Copilot Agents as part of the delivery of business-facing solutions (Desirable) Degree, Masters or Doctorate in Software Engineering, Computer Science or ML/AI related subject What Kubrick offers: A fast moving and fast growth business which is doing something seriously innovative and valuable. We More ❯
insights both internally and externally, through presentations, written publications and representing InstaDeep at conferences and events. Requirements Research Experience: Experience in professional research settings, either in industry or through PhD/post-doctoral positions. Proven Research Excellence: A strong track record of high-quality research, evidenced by publications in reputable scientific journals or conferences. Expertise in software development and programming More ❯
management. Resolve oversight challenges in methodology, scenario design, assumptions, and decision linkage. Ensure complete CSRBB and IRRBB coverage and capture all risk drivers. Qualifications & Experience Education: Master's or PhD in a quantitative field (Economics, Finance, Mathematics). Experience: 5+ years in banking/financial services with exposure to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on More ❯
Education Degree in Life Sciences, Pharmacy, Biomedical Engineering, or a related discipline; OR Equivalent professional experience within Pharma, Biotech, MedTech, or Healthcare technology sectors. Postgraduate qualifications (MBA, MSc, or PhD) advantageous. More ❯
Education Degree in Life Sciences, Pharmacy, Biomedical Engineering, or a related discipline; OR Equivalent professional experience within Pharma, Biotech, MedTech, or Healthcare technology sectors. Postgraduate qualifications (MBA, MSc, or PhD) advantageous. More ❯
drive our business forward. Requirements Education and Qualifications Degree in a quantitative or technical discipline such as Engineering, Mathematics, Physics, Chemistry, or Computer Science (Bachelor's, Master's, or PhD) Technical Skills Strong programming skills, ideally with experience in Python, C#, and/or JavaScript Solid understanding of software engineering principles and data analysis techniques Professional Skills Clear and effective More ❯
a pivotal stage of the company’s journey - where your decisions will shape both the technology and the team from the ground up. What You’ll Bring MSc or PhD in AI, Machine Learning, Computer Science, Robotics , or a related quantitative field. 5+ years working at the intersection of research and engineering, translating state-of-the-art AI into production More ❯
a pivotal stage of the company’s journey - where your decisions will shape both the technology and the team from the ground up. What You’ll Bring MSc or PhD in AI, Machine Learning, Computer Science, Robotics , or a related quantitative field. 5+ years working at the intersection of research and engineering, translating state-of-the-art AI into production More ❯
