14 of 14 Research Engineer Jobs in the City of London

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights … our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim. Senior Research Engineer We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of … Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate More ❯

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights … our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim. Senior Research Engineer We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of … Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate More ❯

Senior Research Engineer London/Amsterdam (Hybrid/Remote) - Up to £150,000 Join a leading proprietary trading firm that provides liquidity in the securities market by using high frequency and quantitative trading strategies. Responsibilities: Take the lead in building and rolling out our research framework to train models using different optimisation techniques Help connect those models … Quant Researchers and Traders use to test ideas and fine-tune data-driven trading strategies Collaborate closely with the business side to understand needs, gather feedback, and improve their research tools over time. Requirements: PhD or MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 5+ years of hands-on experience in MLOps and Research More ❯

Senior Research Engineer London/Amsterdam (Hybrid/Remote) - Up to £150,000 Join a leading proprietary trading firm that provides liquidity in the securities market by using high frequency and quantitative trading strategies. Responsibilities: Take the lead in building and rolling out our research framework to train models using different optimisation techniques Help connect those models … Quant Researchers and Traders use to test ideas and fine-tune data-driven trading strategies Collaborate closely with the business side to understand needs, gather feedback, and improve their research tools over time. Requirements: PhD or MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 5+ years of hands-on experience in MLOps and Research More ❯

and our proprietary technology to create hyper-personalised shopping experiences that are both simple and beautiful. About the Job - Foundation Models for Retail We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key … Responsibilities: Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems. Innovate upon state-of-the-art ML research applied to consumer personalisation. Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs). Progression Timeline: Month 1 : Implement and evaluate current SOTA models, benchmark against existing internal models, and … production requirements, implement algorithmic improvements reducing training time and memory footprint, and document performance benchmarks with detailed ablation studies. Essential Qualifications: 3-5+ years implementing applied machine learning research in a production setting MSc in Computer Science, Machine Learning, or a closely related field Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/ More ❯

and our proprietary technology to create hyper-personalised shopping experiences that are both simple and beautiful. About the Job - Foundation Models for Retail We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key … Responsibilities: Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems. Innovate upon state-of-the-art ML research applied to consumer personalisation. Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs). Progression Timeline: Month 1 : Implement and evaluate current SOTA models, benchmark against existing internal models, and … production requirements, implement algorithmic improvements reducing training time and memory footprint, and document performance benchmarks with detailed ablation studies. Essential Qualifications: 3-5+ years implementing applied machine learning research in a production setting MSc in Computer Science, Machine Learning, or a closely related field Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/ More ❯

high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale. What you’ll bring: PhD in a STEM field with demonstrated experience in research and development to solve complex, previously unseen problems. Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows. Client-facing experience with a forward deployed … delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions. What you’ll do: Tackle some of the most complex and exciting client problems, using your research skills to come up with innovative solutions. Collaborate with others to work on strategic research initiatives. Collaborate directly with top-tier enterprises to understand needs, design and deploy More ❯

high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale. What you’ll bring: PhD in a STEM field with demonstrated experience in research and development to solve complex, previously unseen problems. Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows. Client-facing experience with a forward deployed … delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions. What you’ll do: Tackle some of the most complex and exciting client problems, using your research skills to come up with innovative solutions. Collaborate with others to work on strategic research initiatives. Collaborate directly with top-tier enterprises to understand needs, design and deploy More ❯

Graduate Software Engineer/Quantitative Developer/Quantitative Researcher 📍 Location: London (Hybrid) 💷 Salary: Up to £160,000 + Bonus + Full Benefits 🏢 Client: Elite Trading Firm Kickstart Your Career Just graduated and eager to dive into the world of high-performance tech and quantitative finance? Join a leading global trading firm where innovation is key — no legacy systems, no More ❯

Graduate Software Engineer/Quantitative Developer/Quantitative Researcher 📍 Location: London (Hybrid) 💷 Salary: Up to £160,000 + Bonus + Full Benefits 🏢 Client: Elite Trading Firm Kickstart Your Career Just graduated and eager to dive into the world of high-performance tech and quantitative finance? Join a leading global trading firm where innovation is key — no legacy systems, no More ❯

markets. Their solutions process trillions of dollars annually, helping institutions manage risk, optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models … then implement them in code at scale. Responsibilities Design, implement, and productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience … derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. Contribute to systems that directly improve the stability and efficiency More ❯

markets. Their solutions process trillions of dollars annually, helping institutions manage risk, optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models … then implement them in code at scale. Responsibilities Design, implement, and productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience … derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. Contribute to systems that directly improve the stability and efficiency More ❯

Up to c. £350k Comp Package | Hybrid Working - 3 Days in Office] Role Overview We’re representing a leading quantitative research and technology firm that’s investing heavily in its next-generation infrastructure. As part of this expansion, they’re hiring Kubernetes specialists in London to design, operate, and evolve container platforms that power large-scale research and … GPU-heavy machine learning pipelines to latency-sensitive trading applications. You’ll be responsible for building secure, automated, and resilient Kubernetes platforms that scale globally, collaborating with engineering and research teams to deliver both immediate impact and long-term technical innovation. The team is open to both engineering-focused and operations-focused backgrounds, with roles available across design, automation More ❯

Up to c. £350k Comp Package | Hybrid Working - 3 Days in Office] Role Overview We’re representing a leading quantitative research and technology firm that’s investing heavily in its next-generation infrastructure. As part of this expansion, they’re hiring Kubernetes specialists in London to design, operate, and evolve container platforms that power large-scale research and … GPU-heavy machine learning pipelines to latency-sensitive trading applications. You’ll be responsible for building secure, automated, and resilient Kubernetes platforms that scale globally, collaborating with engineering and research teams to deliver both immediate impact and long-term technical innovation. The team is open to both engineering-focused and operations-focused backgrounds, with roles available across design, automation More ❯