1 to 25 of 80 Permanent Machine Learning Jobs in the City of London

move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will work across the full ML lifecycle, from designing and developing models through to deploying, scaling and continuously improving production systems. Depending on seniority, you will also have the opportunity … Develop and deploy production-grade Machine Learning solutions , building scalable AI systems that solve complex real-world challenges. Design end-to-end ML architectures , including model development, MLOps pipelines, deployment strategies and continuous optimisation. Collaborate with engineering, data and product teams to deliver robust, production-ready AI solutions ...

Highly competitive base salary + performance-linked bonus structure Overview We are currently partnering with a premier systematic investment firm to identify an exceptional Machine Learning Quantitative Researcher. In this role, you will join a specialized research team dedicated to developing next-generation quantitative trading strategies. This position … opportunity to leverage extensive computational resources and robust data infrastructure to focus exclusively on greenfield research. You will be tasked with applying advanced machine learning methodologies to complex, unstructured datasets to identify and capture new sources of alpha in global financial markets. Key Responsibilities Design, develop, and deploy ...

Applied Scientist (AI & Machine Learning) City, London (Hybrid - 3 days per week) £90,000 - 120,000, 15 - 20% bonus target We're looking for an experienced Applied Scientist to help shape the future of AI within a leading global insurance organisation. This is an opportunity to solve complex … business challenges using cutting-edge AI, machine learning, and large language models while setting technical standards for a high-performing data science team. You'll play a hands-on leadership role, partnering with engineering and business stakeholders to design, build, and deploy AI solutions that deliver measurable business ...

and deep learning, acting as a critical bridge between theory and implementation: designing, building, and scaling the complex systems on which our ML research depends. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise … culture that embraces modern ML tooling, including agentic workflows. Key responsibilities include implementing and optimising large neural network models; building robust infrastructure for distributed training, evaluation, and inference; and partnering with ML Scientists to take research from prototype to production-grade systems applied to large, multi-modal biological data, tested ...

annum, 15 - 20% bonus target We're looking for an experienced Data Science & AI Delivery Lead to lead the delivery of enterprise AI and machine learning solutions within a global insurance organisation. This is a hands-on technical leadership role, ideal for someone who enjoys combining software engineering … delivery leadership. You'll help shape the technical direction of a growing AI function while leading the successful delivery of innovative solutions using machine learning, generative AI, and cloud technologies. What you'll do Lead the end-to-end delivery of AI, machine learning, and advanced ...

analytics function is seeking a Data Scientist to join its central Data & AI team. This is an opportunity to help shape the organisation's machine learning and predictive analytics capability, using large-scale operational datasets to deliver actionable insights that support better decision-making. Working closely with technical … business stakeholders, you will develop advanced analytical solutions that identify future risks, opportunities, and outcomes. Key Responsibilities Develop predictive and prescriptive models using machine learning and statistical techniques. Analyse large and complex datasets to identify patterns, trends, risks, and performance opportunities. Work with stakeholders to define business problems ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

Machine Learning Scientist | AI for Energy | Hybrid We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques. If you're passionate about solving complex real-world problems and enjoy working with large-scale … data, we'd love to hear from you. You'll be working with: Time series forecasting and analysis Digital twins Surrogate modelling Deep learning models Real-world energy datasets to optimise performance and decision-making We're looking for someone with: Strong experience in Machine Learning ...

joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise. We embrace modern ML tooling, including agentic workflows, to accelerate the pace of research iteration. This is an opportunity to push the boundaries of what generative modelling can achieve in complex … fidelity, and utility in guiding real-world interventions. Communicate findings clearly to colleagues and stakeholders from different disciplines. Professionally, you will have PhD in ML, statistics, computer science, or a related quantitative field. Deep expertise in generative modelling. Strong foundations in probabilistic modelling, representation learning, or neural network architectures ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

setting technical direction for advanced analytics, machine learning, experimentation and responsible AI. You will design and deliver end-to-end analytical and ML solutions, including forecasting, causal analysis, A/B testing, model development, LLM evaluation and monitoring, and reusable data science assets. Working closely with data platform … Pandas, scikit-learn and NumPy. Strong programming skills in SQL or Spark SQL Experience in Natural language processing and working and developing LLMs Full ML model lifecycle experience Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong numeracy ...

questions are complex, the data is challenging and the outcomes genuinely matter. You'll work alongside experts from a range of disciplines, using machine learning, AI and advanced analytics to solve problems that have real-world impact. You'll be trusted to explore, experiment and develop practical solutions … science solutions, combining analytical thinking with strong engineering principles to build models that can be relied upon in production. Your work could involve: Developing machine learning models that solve complex operational challenges. Working with structured, unstructured and streaming data to uncover meaningful insights. Designing scalable data pipelines ...

clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version … processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks ...

Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: £(phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems … execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). ...

means more to make an impact that matters through challenging projects which demand ambitious innovation and thought leadership. Develop cutting-edge AI and machine learning solutions that drive business impact at scale. Work at the intersection of data science, engineering, and commercial strategy to shape intelligent decision-making. … Lead innovation through Generative AI, advanced analytics, and modern machine learning technologies. The Role As a Google AI Forward Deployed Engineer , you will function as an embedded builder-consultant within customer accounts, translating AI strategy into production-ready solutions. You will work directly within customer environments to architect ...

proposals and helping secure new business opportunities. Experience designing and delivering AI solutions within complex enterprise environments. Strong knowledge of Artificial Intelligence technologies, including Machine Learning, Generative AI, AI Agents, AWS AI and Azure AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience … with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great if you had: Experience working across multi-cloud environments, including AWS, Azure ...

enabled transformation initiatives, which could include Generative AI, internal AI assistants, customer-facing conversational AI, intelligent document processing, workflow automation, knowledge-management solutions and machine-learning capabilities. Key responsibilities will include: Leading AI and automation projects from initial business case and planning through design, build, testing, implementation … Manager with a strong track record of delivering complex technology change, ideally within banking or regulated financial services. You should have: Experience delivering AI, Machine Learning, intelligent automation or advanced analytics initiatives. Strong end-to-end technology project delivery experience. Experience working within regulated financial services environments. Experience ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

well-documented, and aligned with governance standards. Contribute to data quality improvement, monitoring, and issue resolution activities. Collaborate with wider data teams to support machine learning, predictive analytics, and AI use cases. Follow established deployment, governance, and change management processes. Requirements Experience delivering data engineering solutions within … discipline, or equivalent commercial experience. What's on Offer Opportunity to work on a modern cloud-based data platform. Exposure to analytics, AI, and machine learning initiatives. Collaborative environment with a strong focus on data-driven decision making. The chance to contribute to the ongoing evolution of enterprise ...

within your specialist market. Manage candidates throughout the recruitment process, from initial approach through to offer and onboarding. Develop strong market knowledge across AI, machine learning, software engineering and adjacent technology disciplines. Use a combination of LinkedIn, headhunting, referrals, networking and creative sourcing strategies to identify hard … Looking For 2–5 years' recruitment experience , with strong tenure and a proven track record of delivering consistently. Experience recruiting within AI, Machine Learning, Data, Software Engineering or another closely adjacent technology market . Strong delivery capability, with genuine confidence in sourcing and headhunting. Experience recruiting for roles ...

relevant backgrounds may include: Fixed Income/Credit Quantitative Analyst Fixed Income/Credit Quantitative Developer Fixed Income/Credit Data Engineer/Machine Learning SME Fixed Income/Credit Research Analyst Fixed Income/Credit Portfolio Manager Investment Technology, or Front Office Strategy Specialist within a Hedge … technologies. Key Requirements Strong understanding of Fixed Income and/or Credit products and investment processes. Hands-on exposure to AI, machine learning, data engineering or workflow automation. Strong analytical, numerical and problem-solving capabilities. Experience building or working with custom GPTs, AI assistants, connectors or AI-enabled ...

exceptional engineers with groundbreaking businesses that are shaping the future. We operate across Cloud (DevOps, SRE, Platform Engineering, DevSecOps, Performance Engineering) and Data & AI (Machine Learning, MLOps, Data Engineering, AI Research, and related domains). Through our portfolio of innovative startups and our corporate venture arm (Harrison Clarke … experience placing technical talent into startups or technology companies Strong domain knowledge or demonstrable interest in Cloud, Data, AI, DevOps/SRE, Platform Engineering, Machine Learning or related fields Excellent stakeholder management skills, comfortable engaging at founder and senior engineering leadership level Entrepreneurial attitude with a genuine desire ...

things well: deliver high-impact technical training to corporate clients, and coach apprentices through to successful completion. If you've got strong AI/ML/Data expertise and enjoy both classroom-style delivery and 1-2-1 learner support, this is a broad, high-visibility role with real autonomy …/Data curriculum evolves. The role: Design and deliver technical learning content across AI, Machine Learning and Data Science — covering Python, ML frameworks, cloud platforms and applied AI use cases Work directly with corporate clients to understand capability gaps and shape tailored, blended learning solutions across ...

combine strong technical capability with a consulting mindset, enjoying the challenge of solving complex business problems through AI.You'll have: Significant experience leading AI, machine learning, or agentic AI projects from concept through production. Strong software engineering skills using languages such as Python or TypeScript. Experience designing cloud ...