201 to 225 of 2,936 Machine Learning Jobs in London

complex scientific choices into clear product, customer and investment decisions. Partner with Engineering leaders on the architecture and capabilities needed for low-latency, resilient ML systems. Spend time with merchants when direct technical engagement can uncover a better problem, build confidence or demonstrate value. Lead and grow the organization Lead … connect it to outcomes that matter. Stay close to the science Act as a technical sounding board for senior scientists across modelling, experimentation and ML-system design. Lead or contribute to design reviews, prototypes and selected analyses where your involvement can materially improve the outcome. Challenge teams to choose practical ...

high autonomy; collectively, we’re unified by a shared drive to achieve our mission through a commitment to excellence. We are looking for an ML Researcher to join our Machine Learning team in London. This role sits at the intersection of cutting‐edge research and mission‐critical deployment. … will own research directions end‐to‐end, developing novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision‐language modelling. You will formulate problems, design experiments, and drive your work from prototype through to production‐grade systems that power real‐time spatial ...

opportunity! We're recruiting on behalf of a renownedmultinational company based in the United Kingdom, seeking an Applied Scientistto drive cutting-edge research in machine learning and create scalable personalizationsolutions . What you’lldo: In this role, you’ll spearhead the developmentof machine learning models capable … backed solutions. Share results through rigorous, impactfulreports for team and scientific audiences. Requirements Basicqualifications: PhD, or a Master's degree andexperience in CS, CE, ML or related field research Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience ...

trading and investment opportunities. Accountabilities AI Engineering & Platform Development Design and develop shared AI platform capabilities used across Global Markets. Build scalable infrastructure for machine learning and generative AI workloads. Define architectures for model deployment, inference, orchestration and monitoring. Develop reusable frameworks, APIs and services that accelerate … Proven track record delivering large-scale engineering or AI platform initiatives. Expert Python development skills. Strong software engineering and architecture experience. Experience building production machine learning or generative AI systems. Excellent understanding of distributed systems, APIs and modern software architectures. Experience working with cloud-native environments and container ...

strategy research and development as well as architecting the high-level design of the strategy software to minimise trading latency and scale effectively. Our ML stack is Python based and utilises modern ML libraries and tooling including Polars, Ray, Plotly etc. The ideal candidate will have a strong software engineering … working with the NumPy/SciPy stack is essential, as is experience with tools like C++, Numba etc for performance optimisation. Knowledge of common ML algorithms & techniques is a plus, although not essential. We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest ...

both technical and non-technical audiences. Ethical AI & Governance: Apply responsible AI principles and support adherence to governance and compliance standards in AI/ML development. Mentorship & Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence. Qualifications Proficiency in Python and C#. … plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection ...

perspectives collide. Our AI team sits at the core of this effort. It is a focused R&D group of quantitative researchers, engineers, and ML practitioners working on frontier problems in representation learning and large‐scale modelling. The mandate is simple in wording and difficult in execution: extract signal … years of experience building machine learning systems that have delivered real, measurable impact, whether in industry or academia. A strong grounding in ML with some exposure to modern language models such as transformers or related architectures. Comfortable writing solid, production-quality code in Python and/or C++ ...

leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing … experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation ...

match the full criteria, so if you have most of the below, we’d like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real‐world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty … epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy‐preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. As a Principal ...

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 ...

Title Senior AI Engineer - Machine Learning (Computer Vision) Location North London - hybrid Salary £650 per day outside IR35 Length 6 months About the Business Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business … forefront of AI adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. The Senior AI Engineer - Machine Learning (Computer Vision) Opportunity Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative ...

approval by the CEO of QIMA Life Sciences. Build and manage the required data pipelines. Clean, structure, integrate and analyse complex biological datasets. Develop machine learning models and proof of concepts. Identify data gaps and recommend additional experiments where needed. Work with laboratory scientists to help define these … sufficient scientific validation, an interface usable internally, and complete documentation or detailed operator training. Qualifications You have: a PhD in data science, biostatistics, bioinformatics, machine learning or a related field; 8-10 years of experience in data science, biostatistics and machine learning; a proven track record ...

days in office) Must have: Strong experience in machine learning/data science (typically 4–8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real … subscription products or growth analytics Exposure to experimentation/A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenue #J-18808-Ljbffr ...

days per week onsite Rate: TBC Role purpose/summary We see a world in which advanced applications of machine learning (ML) and artificial intelligence (AI) will allow us to develop novel therapies for existing diseases and to respond quickly to emerging or changing diseases with personalised drugs … segmentations and annotations (for example RTSTRUCT, NIfTI) back to their source series and deliver analysis-ready dataset snapshots into the imaging analysis platforms and ML environments for science teams to work with. Automate the path for curating and harmonising imaging datasets. Parse and normalise metadata, validate incoming manifests against ...

high autonomy; collectively, we’re unified by a shared drive to achieve our mission through a commitment to excellence. We are looking for an ML Researcher to join our Machine Learning team in London. This role sits at the intersection of cutting-edge research and mission-critical deployment. … will own research directions end-to-end, developing novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision-language modelling. You will formulate problems, design experiments, and drive your work from prototype through to production-grade systems that power real-time spatial ...

takes to make Cohere’s models succeed Personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space as opposed to traditional software program management Managed projects & programs requiring a strong general business acumen, such as coordinating with Finance on reporting … needs or Policy on regulatory compliance matters — the broader your experience beyond ML technical program management, the better! (optional, but preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone with hands on experience training models, but you need to feel comfortable sitting ...

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 ...

intelligence solutions to support internal operations, member services, and industry initiatives. The successful candidate will play a key role in building scalable AI and machine learning systems, working closely with cross-functional teams to translate business requirements into technical solutions. Responsibilities include developing and optimising machine learning … hold a degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or possess equivalent professional experience. Significant experience in AI/ML engineering roles is required, with a demonstrated track record of delivering production-grade solutions. Required Expertise/Skills Strong proficiency in programming languages such ...

quantum workloads, defining data contracts, versions, quality rules, entitlements, lineage and retention. Create robust training, validation, calibration and untouched test datasets that enable credible ML evaluation. Transform raw customer data into QPU-permitted features or latent representations and return outputs into governed synthetic datasets. Monitor and optimise pipeline reliability, throughput … governance. Experience operating data systems across cloud infrastructure and/or private or on-premise environments. Understanding of the specific data requirements associated with ML training, synthetic data and untouched evaluation datasets. Strong understanding of data security, including encryption in transit and at rest, access controls and audit logging. Strong ...

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 ...

this role, you will: Lead and develop a team of analytics managers and senior analysts, creating an environment of collaboration, accountability, and continuous learning Partner with VP/SVP-level stakeholders within B2B’s Commercial Operations and Partner Experience team to influence organizational strategy, translating complex business challenges into … delivery of multi-year analytics roadmaps and programs, ensuring alignment with business objectives and measurable impact Guide teams in applying advanced analytics techniques, machine learning concepts, and statistical methods to create meaningful change for our B2B partners Establish best practices for analytics engineering, model development, and data visualization ...

live models. Detecting model drift and deploying model improvements to ensure the reliability of our valuations for lender clients. Researching new datasets and advanced machine learning techniques that can be used to increase … accuracy of our property valuation model and improve our AI capabilities across our model and product range. Work collaboratively with fellow data scientists, ML Engineers, analysts, product managers and data engineers. Meeting with stakeholders to translate business needs into data science problems. You’ll hit the ground running ...