101 to 125 of 485 Permanent Machine Learning Jobs in London

variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild Why We Need This Role We are looking for a Machine Learning Engineer to help us maintain and expand an ecosystem of microservices developed within the Intelligent Systems Group. This includes ensuring robustness and … we are looking for Ability to work in a team and great communication skills. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python (no data science experience required). Experience working on production-level microservices (Docker/ more »

Our esteemed MBB Client seeks visionary Directors with a passion for innovation, particularly in the realms of Machine Learning (ML), Artificial Intelligence (AI), Natural Language Processing (NLP), Data Analytics, and beyond. Join us in London and lead the charge towards transformative change in the consulting landscape. About Us … insights and operational excellence. The Opportunity: As a Director, you will spearhead initiatives at the intersection of consulting and technology, harnessing the power of ML, AI, NLP, Data Analytics, and other emerging tools to drive innovation and deliver unparalleled value to clients. This role offers a unique opportunity to shape … consulting while leading high-impact projects in London and beyond. Responsibilities: Lead cross-functional teams in the design and implementation of innovative solutions, leveraging ML, AI, NLP, and advanced analytics to address complex business challenges. Collaborate closely with clients to understand their needs and objectives, providing strategic guidance and thought more »

A provider for testing and quality assurance services is looking for highly capable data scientists, statisticians and AI/ML implementation expertise to help with their overall evaluation review process. Responsibilities : Liaise with global stakeholders on projects to gather information on AI components for a variety products, systems and software … s Evaluate the AI and ML components of products (including satisfaction, ethical bias, risk management, data governance and privacy) Test assumptions using techniques such as A/B or bandit testing Analyse data using statistical or cohort analysis to draw out insights, trends and anomalies Requirements: 3-4 years’ experience … identifying metrics for Machine Learning, AI or Automated Systems Degree or MSc in Data Science or Computer Science Proficient in Python, A/B or Bandit Testing Comfortable conducting statistical or cohort analysis for large datasets Excellent communicator, proactive and diligent Details: Day rate : c.£400-500 Start more »

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 »

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 »

You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D … AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project … with Computer Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. 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 »

Do you want to join a cutting-edge and market leading advertising technology company? This company have a machine learning platform that delivers contextual targeting for advertisers. They help customers like Hilton, Chanel and EA navigate Cookie depreciation whilst reducing media wastage. They are looking for an Ad … London office per week. Responsibilities: Design and execute sophisticated advertising initiatives on YouTube, TikTok, and Meta platforms for primary clients utilizing an in house machine learning platform and exclusive data for maximum relevance and brand alignment. Provide informed strategic suggestions grounded in data analysis to enhance YouTube strategies 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 »

friendly/collaborative environment, beautiful offices, personal projects on Fridays! An Elite AI Team is currently hiring for a talented Software Engineer with some ML knowledge to work as part of an elite cutting edge team. This team have an unlimited tech budget and promote a great culture! KEY RESPONSIBILITES … Building out cutting edge ML Infrastructure at a scale impossible elsewhere Setting up the ML environment Training large scale custom-built ML Models Building production grade infrastructure platforms for containerization, deployment and monitoring of ML Models Working closely with ML Engineers A lot of scope for growth and future management … a nice plus A proven track record leading other engineers Good knowledge of CI/CD is a huge plus Experience working within the ML space is a massive advantage A Computer Science Degree from a top university 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 »

environment that banks operate within, such as regulatory developments for: Basel 3.1; Climate risk; and Artificial intelligence/machine learning (AI/ML). In this role, you will: Review and opine on existing and proposed regulatory policy on wholesale credit risk. Lead the process to develop regulatory more »

/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages 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 »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines , machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place … a plus Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the 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 »

production data from non-production environments with right-sized, production-like data. Since 2018 we have pioneered the generation of production-like data for machine learning and application development across all structured data formats within one platform. Our products are used by some of the world's leading more »

have had exposure to some of the following; Predictive modelling Attribution modelling Multivariate model developments Geographical analytics Text mining and content analytics Conjoint analysis Machine learning processes Data manipulation language; such as Python, R or similar Experience using website analytics packages (i.e. GA) Familiar with digital tracking technologies 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 »