151 to 175 of 527 Machine Learning Jobs in London

Enhancing and managing the cloud-based Data Warehouse (Azure, Snowflake) Designing, building and deploying data pipelines to support advanced analytics and the development of Machine Learning algorithms and Generative AI (GenAi) applications Providing technology thought leadership and supporting the business in adoption of Machine Learning and more »

and response to operational risk events as well as be given the opportunity to work with innovative technologies such as Spring Boot, React.js, create Machine Learning models in python and so much more.How will you make an impact in this role?Collaboration with key business partners to help … Stack, Kafka, Hive, Spark, UNIX/Linux and Oracle DBExperience with a statistical programming language (Python or R) and experience with libraries specifically for Machine Learning or Data Analytics as well as knowledge on Hadoop/MapReduce is a plus. Hands-on experience building and delivering large scale more »

a modern data management stack supporting a self-service data analytics model across all company functions for quick, informed decision-making. Integrate AI and machine learning to enhance customer experiences and operational efficiencies, managing the full data lifecycle from collection to quality control. Stay updated with data science … data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector. Technical Proficiency: Expertise in data analytics frameworks, machine learning, AI, and scalable data infrastructure design. Regulatory Knowledge: In-depth knowledge of data protection laws, including GDPR and PSD2. Leadership Skills: Proven more »

Science/Programming Degree. Background of using data analysis tools and software (e.g., SQL, SAS, Python and R). SQL – Advanced Proficiency Experienced in Machine Learning and predictive modelling. Background working with consultancy services. Highly experienced with MS Azure cloud platforms. 3 years minimum. Understanding of building resilient … and product. Experience of large complex data migrations Proven experience in cost optimisation and performance efficiency Proven experience in Data Science and/or Machine Learning including an understanding of fundamental technologies and processes involved in the research and development of data science models. more »

closely with Monetization researchers Develop and manage high quality, robust and efficient data and model pipelines Improve capabilities, performance, reliability, scalability and throughput of machine learning systems in a trading environment. Build automated tools to evaluate model performance Work closely with quantitative, portfolio researchers to improve the profitability … of trading tactics Qualifications: 5+ years of experience in Machine Learning or Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus … and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis more »

demands and driving the development of new features. Your primary focus will be on our edge-computing stack, which includes building edge applications, deploying machine learning models, optimizing platform runtime, and enhancing observability and telemetry. Responsibilities Include: Developing edge applications for processing vision data and communication layers for … compute-constrained edge devices. Deploying machine learning models into production environments. Optimising platform runtime for maximum performance, predominantly in C++ with GPU utilization. Building observability and telemetry mechanisms. Requirements: Minimum 3+ years of experience in C++ development for production software. Proficiency in building applications processing real-time data …/CD pipelines. Preferred experience in one or more of the following: Edge/IoT computing Infrastructure management Monitoring Video processing & streaming Interfacing with ML models High intrinsic motivation, commitment to excellence, and a strong work ethic. Senior C++ Engineer | £90,000 - £120,000 | C++, Low Latency, Optimisation | London more »

a functional consultant, responsible for requirements gathering, functional design and system configuration. Exposure/awareness of Artificial Intelligence (AI) and Machine Learning (ML) would be an added advantage. Quick and innovative thinking with the acumen to correctly interpret trends/patterns from available data and formulate effective actions more »

focus on priorities, delivery standards and capabilities across the value chain to improve processing of data and enhance our ability to make use of ML/AI in decision making of our processes. Coordinate alignment across the business’s utilizing our single version of data truth which will power all … R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and Deep Learning Offer good knowledge of ML Ops (Docker, Kubernetes, CI/CD. Qualified within own personal discipline, with extensive post-qualification work experience to include: Working with large third-party vendors more »

A funding to advance our work in digital avatars and human clones. Role: MLOps Engineer Location: London Salary: Up to £100,000 Responsibilities: Develop ML Pipelines: Build and maintain scalable data processing systems. Ensure data quality and integrity. Automate ML Processes: Integrate machine learning solutions into existing systems … and automate workflows. Deploy and Scale Models: Manage the deployment of ML models to production, ensuring scalability. Monitor and Optimize: Oversee model performance and conduct periodic tuning. Collaborate on Innovations: Work with cross-functional teams to improve model performance and implementation practices. Ensure Security: Adhere to security and compliance standards … in ML deployments. Requirements: Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field. Experience: 2-3 years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/ more »

domains: ad fraud detection, risk control, quality control, business/ads integrity, and online advertising systems. Deep knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Apply now for immediately consideration for this Software Engineer opportunity. Understanding more »

ML/LLVM Compiler Engineer Exciting Blockchain Compiler Role/Remote working/Token equity on offer! An ML/LLVM Compiler Engineer is required to join an exciting ML powered Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My … learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/LLVM Compiler Engineer role, we’re interested in people from a variety of backgrounds, but your experience may include some of the following: Extensive … OR GCC Advanced C++ programming skills Understanding of Paralell Programming and Distrubuted Systems Added Bonus - Strong willingness to learn Rust If you’re a ML/LLVM Compiler Engineer looking for an exciting new challenge within a great company, then please apply today to learn more! To find out more more »

supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Data … new storage, enforce best practices Production: Help the preparation of the data science pipelines, interact with data scientists, re-shape code, support towards some ML Ops principles, make the ML platform easy for users Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years … CD experience Containerisation experience (Docker, Kubernetes, etc.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow Unfortunately sponsorship isn't provided for this role If you are interested please apply here or reach out to morgan.beck@xcede.com more »

Referment has partnered with a trading and insurance company in London who specialise in using the latest Quantitative methods and AI/Machine Learning Concepts to run risk analytics for their industry leading clients. They are seeking a Software Developer who is skilled in Python to build out more »

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and more »

processes by implementing quality checks and balances. Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs. Support machine learning model deployments by ensuring seamless access to quality datasets. Troubleshoot complex issues arising from extensive big-data environments. Maintain comprehensive documentation of more »

developers, data scientists, and product managers to shape the future of AI applications, We offer a competitive salary and an environment that encourages continuous learning and innovation. KEY RESPONSIBILITIES Implement agents and tools based on generative models Collaborate with cross-functional teams to integrate AI models into products and … solutions Fine-tune machine learning and generative models for specific … applications Stay up-to-date with current AI research and adapt new methodologies for practical applications REQUIREMENTS MSc Degree in either Data Science, AI, ML or Computer Science 3-5 years experience in applied AI Deep understanding of ML algorithms, DL architectures, RL Insight into generative models, transformer architecture, and more »

We bring cutting edge research to industry through our cloud platform. Utilising a microservice architecture we continue to integrate and deploy mathematical optimisation modules, machine learning solutions and geometric manipulation algorithms through our flexible software pipeline. Working closely with our clients, some of the biggest players in their more »

brand new research division focussed on using untested, bleeding-edge technologies and strategies, they're also heavily leaning on the use of AI and Machine Learning. The major languages they're using are predominantly Python, C++ and Rust, but fundamentally are looking for very strong education's in Computer more »

datasets. Some understanding of FX markets ( open to other asset class experience ) and exposure to sales and trading teams. Strong advanced analytics, modelling and ML experience. Experience with building tools and applications for data analysis and visualization, preferably within the financial services industry. Experience with non-trivial models/modelling. more »

to strategies as needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant … as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem-solving skills more »

Newly founded, AGITProp is an AI-driven quant research firm that is pushing the boundaries of algorithmic trading. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive and integrated approach. At AGITProp, we are leveraging the latest … of deployed quantitative models, making necessary adjustments and optimizations to maximize returns and minimize risk. Stay current with the latest advancements in quantitative finance, machine learning, and relevant technologies, and proactively suggest improvements and innovations to the team's processes and tools. Requirements Master's or Ph.D. degree more »

models, measurement and reporting Opportunity to contribute to new & existing business pitches We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience more »

quality and reusable code, with a strong command of Git and CI/CD practices. The capacity to thoughtfully evaluate statistical and/or machine learning techniques, and proficiently apply them in practical scenarios while interpreting results, considering the assumptions and limitations inherent in the methods. Experience in … plus bank holidays), with additional days for long service awardsA generous pension scheme of up to 15% combined contributionLife Assurance (3 x salary)Individual learning budgets for every colleague, a Blinkist account and a wide variety of courses on our portalA wide variety of wellness benefits including Gympass, a more »

a relevant fieldExperience working with behavioural data/modelling.Experience in or a domain knowledge of the Health/Pharma industryExpertise in developing and implementing machine learning modelsProficiency in programming languages such as Python or RExcellent communication skills, with the ability to effectively convey technical concepts to both technical more »

data governance, data processing, data warehousing, and business intelligence. Expertise in modern data techniques using cloud technologies Experience with technologies such as Python, Kafka, ML/DL, AI, and Snowflake. Experience with transformation and change programs across large technology organizations. If this sounds like the role for you and you more »