london, south east england, united kingdom Hybrid / WFH Options
Natobotics
Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯
Proven track record of delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills More ❯
Proven track record of delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills More ❯
and learning technologies to enhance student experience. Innovative, proactive, and student-centred approach to teaching and leadership. Flexible and adaptable, with strong problem-solving and time-management skills. Desirable: PhD (or near completion) in Computing or related subject. Senior Fellowship of Advance HE (SFHEA). Experience of teaching at both undergraduate and postgraduate levels. Experience of external examining or programme More ❯
into production‐grade systematic strategies. Publish proprietary research (SSRN/peer‐reviewed journals/industry conferences) and participate in industry working groups , enhancing the firm's visibility. YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience). 4–7 years in quantitative research/engineering More ❯
Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and More ❯
Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and More ❯
emerging technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯
emerging technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯
emerging technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯
introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯
introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯
of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯
office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: PhD in STEM related subject Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
concepts. Desirable Extras Experience with regulatory frameworks (e.g., Basel, GDPR) and model explainability tools. Knowledge of NLP for document processing or conversational banking applications. Advanced academic background (MSc or PhD in a quantitative discipline). Why This Role? Shape the future of digital banking through AI-driven innovation. Work on high-impact projects that combine technical depth with real-world More ❯
concepts. Desirable Extras Experience with regulatory frameworks (e.g., Basel, GDPR) and model explainability tools. Knowledge of NLP for document processing or conversational banking applications. Advanced academic background (MSc or PhD in a quantitative discipline). Why This Role? Shape the future of digital banking through AI-driven innovation. Work on high-impact projects that combine technical depth with real-world More ❯
legal teams to protect your inventions. You will contribute to the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: Master's or PhD in a relevant field (physics, computer science...) Expertise in machine learning, with a strong understanding of flow matching, diffusion and/or GANs Machine learning orientated programmed skills (Pytorch, Python... More ❯
legal teams to protect your inventions. You will contribute to the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: Master's or PhD in a relevant field (physics, computer science...) Expertise in machine learning, with a strong understanding of flow matching, diffusion and/or GANs Machine learning orientated programmed skills (Pytorch, Python... More ❯
We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level More ❯
prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and working with cloud platforms (GCP, AWS). - Excellent analytical, communication, and organisational skills. Desirable - MS/PhD in a quantitative field. - Experience with Vertex AI, Kubeflow Pipelines, DBT, or agentic AI frameworks. - Knowledge of multimodal or meta-learning approaches. - Background in statistical consulting (sampling design, power analysis More ❯
prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and working with cloud platforms (GCP, AWS). - Excellent analytical, communication, and organisational skills. Desirable - MS/PhD in a quantitative field. - Experience with Vertex AI, Kubeflow Pipelines, DBT, or agentic AI frameworks. - Knowledge of multimodal or meta-learning approaches. - Background in statistical consulting (sampling design, power analysis More ❯
of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯
real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning More ❯
real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning More ❯
work You will be part of a vibrant team of 15+ Applied Scientists based in Paris and London Basic Qualifications: Currently enrolled in a Computer Science Master's or PhD degree or a related field Proficiency with a modern deep learning framework (PyTorch or TensorFlow) Ability to write research code in Python Strong communication and collaboration skills Strong willingness to More ❯
