576 to 600 of 1,964 Machine Learning Jobs in London

coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, or Python. Preferred qualifications: Experience with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP. Experience in network programming or developing/designing large software systems. About The Job Google's software engineers develop the next … conceive, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to massive amounts of data and information. Google is proud to be an equal opportunity workplace and is More ❯

we should undertake the particular method of analysis. The role also leads on and builds data science models in R or Python to meet user needs using statistical analysis, machine learning and AI approaches. Main duties of the job Key responsibilities include: Supporting client-facing responsibilities, leading on data modelling and analysis for several concurrent projects. Supporting the … facing responsibilities, leading on data extraction and analysis for several concurrent projects. Lead on and build data science models in R or Python to meet users needs using statistical, machine learning and AI approaches to solve problems Proactively evaluate how new tools fit into the wider technical landscape, and assess whether they would help solve problems or improve More ❯

the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group … articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Demonstrable experience leading in … influencing others, and delivering high-impact work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please More ❯

the team and will use their knowledge across Python, cloud technologies (AWS), databases, Kubernetes, Terraform and microservice architecture to design and build key platforms for the business, that utilise Machine Learning and AI to analyse complex medical imaging data, whilst mentoring and leading more jnuior Developers. The Company The Lead Developer will join an innovative Machine Learning … working in other regulated industries that require documentation would be applicable Experience of developing applications that process complex data such as imaging or video, especially those that have an ML or AI component would be highly beneficial The list above is important, but not as important as hiring the right person! So if you don't meet all of the More ❯

on complex projects. Key Responsibilities: Perform in-depth quantitative research of ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. Candidate Profile: 7-10 years relevant quantitative research experience on … the buy-side or sell-side. Experience working in equity markets. Good understanding of quantitative equity models. Strong background in portfolio construction and optimisation. Experience with machine learning is a plus. Degree educated in Finance, Computer Science, Economics, or a Quantitative field. Excellent coding skills in Python or R preferable. Strong numerical, analytical, and research skills. Mason Blake More ❯

You have strong analytical skills, demonstrated by excellent academic results, research projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and … comfortable writing clear, efficient SQL for extracting, cleaning, and preparing datasets, demonstrated through coursework, internships, or personal analytical projects You have demonstrated initiative by independently exploring additional analytical and machine learning tools or frameworks, such as BigQuery, TensorFlow, PyTorch, or similar Progression This is an initial six-month engagement. If you perform well, the expectation is that you More ❯

paced, collaborative environment where technical talent is valued and innovation is encouraged. The Role As a Data Scientist, you’ll work on end-to-end delivery of analytics and machine learning projects—scoping client challenges, building models, and translating insights into action. Projects vary across sectors and may include customer segmentation, forecasting, optimisation, or NLP. You’ll collaborate … problems. The Candidate Key attributes of a suitable Data Scientist include: 2–5 years’ experience in data science or analytics, with strong Python and SQL skills Practical knowledge of machine learning techniques and tools (e.g., scikit-learn, XGBoost) Experience working with real-world datasets and presenting insights to stakeholders Excellent communication skills and the ability to explain complex More ❯

paced, collaborative environment where technical talent is valued and innovation is encouraged. The Role As a Data Scientist, you’ll work on end-to-end delivery of analytics and machine learning projects—scoping client challenges, building models, and translating insights into action. Projects vary across sectors and may include customer segmentation, forecasting, optimisation, or NLP. You’ll collaborate … problems. The Candidate Key attributes of a suitable Data Scientist include: 2–5 years’ experience in data science or analytics, with strong Python and SQL skills Practical knowledge of machine learning techniques and tools (e.g., scikit-learn, XGBoost) Experience working with real-world datasets and presenting insights to stakeholders Excellent communication skills and the ability to explain complex More ❯

data sets related to historical reference data, factor data, end of day and tick-level data, corporate actions (IPOs, Secondary, M&A, Spin-offs, etc.). Apply statistical and Machine Learning methods to solve complex problems. Build risk models and P&L attribution for both systematic and fundamental portfolios. Maintain and improve existing codebase, ensuring robustness and efficiency. … within strategic libraries/frameworks supporting quantitative research. Experience with signal research, back testing, and portfolio optimization. Strong analytical and problem-solving skills. Familiarity with common data science and machine learning tools and libraries. Must have a high degree of attention to detail, be able to multitask, complete projects in a timely manner, and work effectively in a More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

science is utilised across their business. Key Responsibilities will include Leading the development of data science models and solutions that have a real business impact. Design and iterate on machine learning and statistical models with measurable outcomes. Champion the use of Microsoft Fabricand Power BIin the analytics stack. Help shape technical direction, code quality, and best practices in … BIin a production environment. Strong skills in Python (e.g. Pandas, scikit-learn, NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At this point we can only consider candidates eligible to work in the UK. The role is based in More ❯

emerging technologies and cutting-edge research? We're looking for someone with goodexperience in technical project or program management to join a pioneering AI research team driving innovation in machine learning systems. This role sits at the intersection of research and execution. You'll be embedded within a high-performing, multidisciplinary team working on next-generation AI solutions … and deliver complex research projects with real-world impact. What You'll Be Doing Collaborating with researchers, engineers, and cross-functional stakeholders to manage a mid-sized AI/ML research program. Translating strategy into actionable project plans with clear milestones and outcomes. Leading the coordination of tasks, timelines, and documentation - ensuring smooth delivery. Supporting data approval processes, reporting progress … Facilitating effective communication and alignment across remote and local team members. What We're Looking For Strong experience as a Technical Project Manager or Program Manager Exposure to AI, machine learning, data science, or related technical fields. Excellent organizational, planning, and stakeholder engagement skills. Comfortable managing ambiguity and adapting to evolving priorities. Able to work independently and proactively More ❯

in Private Equity and Investment Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, has over 6 years of experience in Machine Learning and AI, having worked at leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team are early stage startup veterans, with … large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value. Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school. More ❯

to keep the business at the forefront of innovation. AI-Driven Campaigns & Automation Oversee the development of AI-powered campaigns, including predictive targeting, dynamic content, and automated workflows. Implement machine learning models for customer segmentation, lead scoring, and churn prediction. Drive personalization at scale using generative AI for content, email, and digital experiences. Team & Collaboration Build and manage … in digital marketing, with at least 3 years in AI or marketing automation leadership. Proven track record of implementing AI tools and driving measurable marketing outcomes. Strong understanding of machine learning, generative AI, and marketing analytics. Experience with platforms such as Salesforce, HubSpot, Marketo, Adobe Experience Cloud, or similar. Excellent leadership, communication, and stakeholder management skills. Bachelor’s More ❯

to generate insights and drive decision-making. The team is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly Overview: Designs and develops creative software solutions, and technical troubleshooting with ability to … Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience across Internal and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across More ❯

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 … 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 the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely … shop based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to More ❯

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 … 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 the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely … shop based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to More ❯

firm. This role can be based from either London or Cambridge. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house and be guided by some of the brightest minds in this field. On a daily basis, you will be working as a Pre-Sales advisor … What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform Joining a fast-growing company where progression opportunities are in abdundance Applications If you have top academics and would like to apply, we would love to More ❯

a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures. Startups, which are primarily born-in-the-cloud now, represent a critically important and growing subset of customers to AWS. Startups have unique needs … ecosystem, including building a network across Founders, VCs, Accelerators, and Incubators nationwide. You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless and IoT. Your customers leverage state-of-the-art technologies on AWS to innovate and become the next disrupters, like today's Shopify, Slack, Instacart, or Lyft. To be More ❯

and analytical skills. Previous experience in a research or structuring department of an investment bank or relevant buy-side experience. Excellent coding skills in Python. In-depth knowledge of machine learning and big data. Strong communication, presentation, and writing skills. Team-player attitude. Preferred Qualifications, Capabilities, And Skills Previous experience in quant equity and/or fixed income … about new Asset Specialist jobs in London, England, United Kingdom . Global Banking & Markets, Quantitative Researcher, Trading Strats, Associate, London London, England, United Kingdom 2 weeks ago Quantitative Researcher (Machine Learning) London, England, United Kingdom 4 months ago London, England, United Kingdom 2 weeks ago Quantitative Research - Rates Options - Analyst or Associate London, England, United Kingdom 1 week More ❯

in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role We are looking for a passionate technical product manager to join us in building an AI platform that empowers machine learning engineers and data scientists to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of gathering requirements, shaping the product roadmap, and working … friendly solutions Experience building products for developer users, ideally machine learning engineers, data scientists, or applied researchers A deep understanding of the workflows and pain points of ML teams - from experimentation and model development to deployment and monitoring A structured, strategic mindset - you excel at navigating ambiguity, driving alignment, and delivering value quickly without losing sight of long … for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. More ❯

is Deliveroo's dedicated group focused on protecting customer accounts and tackling fraud and abuse across our marketplace. We are a cross-discipline group of software engineers, data scientists, machine learning engineers, designers and product managers, working in close partnership with operations, compliance and care functions. Our vision is to create a safe, frictionless experience for genuine users … into technical roadmaps Have accountability for executing on your roadmap to deliver measured value to the business; confidently and independently orchestrating a cross-functional team of engineers, data scientists, machine learning engineers & designers Be a thought-leader on fraud and abuse across Deliveroo. Independently manage internal stakeholder communication across all levels of the business to drive a consensus … partners. Here are some of the areas that you could be responsible for: Customer account security Payment fraud Money laundering Compensation abuse Marketing abuse Prediction and detection algorithms/ML Infrastructure and tooling across the above mix (automated decisioning, agent tooling, data labelling, false positive identification) Requirements Have extensive, proven success as a user-focused Product Manager Highly analytical and More ❯