1 to 25 of 229 Machine Learning Jobs in the City of London

been removed by the job board, full contact details are readily available on our website). Keywords: Machine Learning Researcher/ML Research Scientist/Applied Machine Learning Scientist/AI Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied … Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn ...

Interested in leading teams that build AI systems combining machine learning, retrieval, and modern language models to solve real-world problems? About the team: We’re looking for a Manager, Data Science to lead and develop a team of data scientists delivering intelligent, data-driven systems that help … impact work, enable excellent execution through your team, and ensure robust, scalable, and trustworthy solutions move from concept to production. You will combine strong machine learning foundations with practical experience in modern AI approaches—including retrieval, ranking, and generation—to guide sound technical and product decisions. ...

Lead Applied Scientist - AI & Machine Learning London (Hybrid - 2-3 Days per Week in the Office) Salary: £95,000 - £120,000 + Bonus + Excellent Benefits Are you an experienced AI and Data Science leader looking to shape the future of Generative AI and Machine Learning … challenges. The Opportunity As the senior scientific authority within the AI and Data Science function, you will lead the development of innovative AI and ML solutions from concept through to production. You'll work closely with engineering, business stakeholders, and senior leadership to ensure solutions are robust, scalable, and deliver ...

learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply. Responsibilities Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale Take offline models data scientists build and turn them … years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC. Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer on AWS Sagemaker and similar tools. Knowledge and experience with CI/CD tools. Strong hands-on technical skills in automation (Jenkins, GitLab, Docker ...

Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development … development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. Why you? Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems ...

seeking Deep Learning Researchers to join our growing team. As a Deep Learning Researcher, you will develop and apply state-of-the-art deep learning techniques at the intersection of AI and markets. You will help accelerate our efforts in areas such as modern neural network architectures … learning research or applied machine learning. For PhD candidates, we expect a record of research contributions in your area published at leading ML venues (e.g., NeurIPS, ICML, ICLR). For Bachelor’s and Master’s candidates, research experience is required but can take other forms, e.g. thesis work ...

edge AI technologies at enterprise scale Key Responsibilities Develop and deploy machine learning models to solve business challenges. Build and maintain scalable ML workflows and pipelines. Collaborate with Data Scientists and wider technology teams to productionise models. Develop high quality Python code and support CI/CD processes. … deploying machine learning solutions into production environments. Understanding of data processing, transformation and pipeline development. Experience building and maintaining end to end ML workflows. Solid software engineering and coding best practices. Exposure to modern AI and deep learning approaches including NLP and large language model related technologies. ...

years of experience in software engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python. Strong problem-solving skills and the ability to break down complex … explore new ideas and approaches. Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying AI/ML models in production environments. Even if you don’t meet every requirement ...

production, ensuring the ongoing reliability and stability of our systems. This role offers you the opportunity to lead, deliver, and care for cutting-edge ML systems that impact millions of customers daily. These are some of the key components to the position: Collaborate extensively with Data Scientists, Product Managers … Backend Engineers to bridge the gap between model development and production systems Lead the architectural design of end-to-end ML systems, from data ingestion and training pipelines to real-time inference and monitoring infrastructure Transform innovative data science prototypes into robust, scalable, and secure production software, taking ownership ...

organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models … implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows ...

developing your knowledge and skills in an area that interests you, while working towards your apprenticeship qualification with one of our learning providers. WHY JOIN THIS SCHEME? Data Science is evolving the way the BBC operates. Our data scientists help us to better understand the customers we serve … transferable strengths, we’d love to hear from you and encourage you to apply: Have a love of maths and a passion for data, machinelearning and AI An excitement to embrace the latest AI and Machine Learning Technologies responsibly to transform working practices Have brilliant non-technical skills ...

Scientist to join our Group Data Science team. This is a senior individual contributor role for a highly capable practitioner who has successfully delivered machine learning and AI products from concept through to production within large, complex organisations. The successful candidate will combine deep technical expertise with strong … cloud technologies, helping bring innovative approaches into the organisation Your Skills Proven track record of building and deploying production‐grade AI/ML applications that generate measurable business value Experience working with Data Engineering, MLOps and Product teams to bringing Machine Learning systems from research ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … building, deploying and operating AI products that deliver measurable business value. What You Will Do Design and deliver customer analytics, data science, machine learning and generative AI solutions, from problem framing and data exploration through to production and measurable client value. Make the technical decisions on your workstream ...

developing your knowledge and skills in an area that interests you, whilst working towards your apprenticeship qualification with one of our learning providers. WHY JOIN THIS SCHEME? Data Science isevolvingtheway the BBC operates. Our data scientists help us to better understand thecustomersweserve,and the content served to them,turningraw … valuable insightsand products to better serve audience needs. Whether audiences arewatching on BBC iPlayer,listening on BBC Sounds,reading BBC News and BBC Sportarticlesor learning on BBC Bitesize,behind the scenes data scientists are at work...fancy being one of them?! Want to find out more? Watch recordings from ...

/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third‐party AI services to deliver production‐ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g. ...

evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software … C++ software development skills. Expertise in deep learning from model training to optimisation and evaluation. Experience in distributed training or inference of ML models across 64+ accelerators. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability ...

integrity. Skills and Competencies Strong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative discipline Understanding of machine learning fundamentals including model training and validation, overfitting, and model evaluation Experience with one or more machine learning or deep learning … environments, geographic information systems, structured query language, or data assimilation techniques is desired Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Demonstrates a growing awareness of AI risk management and a commitment ...

logic and evaluation evidence. What you’d work on Choose methods across statistics, econometrics, mathematical optimization, scenario modeling, geospatial science, weather and climate models, machine learning (for example, boosting), deep learning, foundation model fine-tuning and training, and decision models. Connect the quantitative work to agent harnesses … Python for quantitative work, including tabular data processing, high-performance central processing unit (CPU) and graphics processing unit (GPU) compute, optimization solvers, and statistical, machine learning, deep learning, foundation model, generative modeling, and geospatial packages, with Git-based collaboration, tests, and code review. Current, daily practice building ...

business make it a great place to put cutting-edge AI to use. CFC's Data & AI team is building production agentic and ML systems that automate and inform complex underwriting decisions that drive real business outcomes - not demos, not proof-of-concepts sitting on a shelf. The team includes … ML engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time. We are looking for a mid-level Data Scientist to join ...

questions about our services and the people who use them, designing studies that produce robust evidence with actionable reports Analyse large-scale text: Apply ML and NLP methods to large volumes of free-text data, such as conversations from our crisis, peer support and counselling services, with careful attention … audiences, and contribute to reports, publications and presentations Person Specification Essential A PhD or equivalent experience in a quantitative field, such as computer science, machine learning, statistics, physics, computational neuroscience or quantitative psychology, and a track record of high-quality, well-tested and reproducible technical work you have ...

join an analytics team that helps some of the world's largest organisations combat fraud, reduce risk and make smarter decisions through advanced analytics, machine learning and digital identity intelligence. We're looking for curious, ambitious students who enjoy tackling complex problems, working with data and learning … optimise data pipelines using modern analytics platforms such as Snowflake and dbt. Develop interactive dashboards and analytical applications using Streamlit. Explore and apply machine learning techniques to fraud detection and risk management problems. Use Copilot and AI-powered agents to accelerate analysis, automate workflows and improve productivity. Support ...

actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud … models in production with efficient use of compute. Develop and maintain cloud-native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high-performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

developing your knowledge and skills in an area that interests you, whilst working towards your apprenticeship qualification with one of our learning providers. WHY JOIN THIS SCHEME? Data Science isevolvingthe way the BBCoperates. Our data scientists help us to better understand thecustomersweserve,and the content served to them,turningraw … valuable insightsand products to better serve audience needs. Whether audiences arewatching on BBC iPlayer,listening on BBC Sounds,reading BBC News and BBC Sportarticlesor learning on BBC Bitesize,behind the scenes data scientists are at work...fancy being one of them?! Want to find out more? Watch recordings from ...

diverse portfolio of data, products and services. LSEG's Data & Analytics division has a long history of using classical machine learning (ML) techniques, and we're also at the forefront of using GenerativeAI to build intuitive solutions that use the wealth of information in our documentation, datasets … exceptional leader to help build and scale an organization to deliver on this promise. You'll solve customer problems using a combination of classical ML and GenAI technologies, delivering products that both delight our external customers, and help internal customers do their jobs effortlessly. We are not a PoC shop ...