126 to 150 of 527 Machine Learning Jobs in London

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 »

Performing day to day requests on the front-end of the platform such as keyword searching, foldering, creation of exports, adding users, AI searching (‘Machine Learning') etc. Internal administration related to the above, such as: - Conflict Checking - Internal Project Setup - Client charging Reports and Invoice request creation (Invoices more »

a Senior Security Consultant (CHECK Team Leader) supporting the next phase of Cyberforts growth. Youll be joining a culture of knowledge sharing and continuous learning with expert peers in Penetration testing and SecOps. We work across a number of sectors with a diverse client base. We aim to create … investment in developing technology and cyber capability; we aim to deliver innovation to our customers as fast as possible. Whether it's AI-driven ML-based threat intelligence or rapid start hybrid Cloud; our goal is to implement solutions that make us stand out in the market. If that sounds more »

on business-facing automation products to lead our Application Machine Learning team. The ideal candidate will be able to leverage a strong ML background to bridge the gap between the latest ML technologies and customer needs. This is a crucial role in the engineering department, with a significant … a large team of Machine Learning engineers helping to set priorities and tasksPlan and manage multiple projects to ensure successful delivery Wrapping ML modules in reusable application components, which can be integrated into different configurations depending on the specific customer’s needsLeveraging your systems knowledge to deliver fast … answer is unclearActively participate in discussions and give ideas/guidance Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the companyQualifications3+ years of industry experience using data-driven approaches to solve real-world problems through building an ML-related more »

Lead Data Scientist & Machine Learning Opportunity! 🌟 Are you a visionary in the realm of data science and machine learning, eager to lead transformative projects and … drive innovation? We're seeking a dynamic Lead Data Scientist & Machine Learning Consultant to join our team! Role : Director - Data Science + ML Location : London About Us: We're a global consulting firm dedicated to helping businesses navigate complex challenges and achieve sustainable success. With a focus on … excellence and innovation, we partner with clients across diverse industries to deliver impactful solutions. Role Overview: As the Lead Data Scientist & Machine Learning Consultant, you'll spearhead data-driven initiatives and collaborate with clients to unlock valuable insights. Your expertise will drive the development and implementation of cutting more »

Machine Learning Engineer- Fully Remote £700-£800 pd via Umbrella Initially for 6 months Global Ecommerce business is looking to recruit a Machine Learning Engineer to work on greenfield projects and AI products. Role: The Machine Learning Engineer will play a crucial role in … the development and implementation of state-of-the-art machine learning models and AI algorithms This is a hands-on engineering role where you will spend the majority of your time writing code in Python to design, build, and deploy machine learning solutions. Experience/skills … Proven experience working as a Machine Learning Engineer or similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency more »

Machine Learning Engineer - Infrastructure | Research focused - LLM/AI Safety An opportunity to Join a Leading AI Innovation Team as a Machine Learning Infrastructure Engineer. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize industries worldwide. … The Role: As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models. Please note that this role requires in-person presence in London, but this role offers visa sponsorship and relocation support. … s. Build and grow our engineering organisation, setting a high bar of excellence that propels us forward. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large more »

from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances. Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the … ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring seniority and pragmatism to every more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to … bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning more »

knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s more »

Machine Learning Engineer - London (hybrid) - £90-125,000 + bonus numi is collaborating with a leading force in global analytics, reporting, and intelligence to recruit a Machine Learning Engineer! You'll be an integral part of a new team driving multiple greenfield projects. These initiatives encompass … for personalised experiences, and fostering AI adoption across the organization to enhance efficiency, among others. We're seeking an individual who can leverage their machine learning expertise to contribute not only to technical aspects but also to cultivate a thriving team culture. As a senior engineer, you'll … play a pivotal role in upholding high standards and best practices across the team and organisation. Key Requirements: 5+ years of experience in machine learning Prior experience in developing generative models Passion for tackling complex, transformative projects Proficiency in AWS, Python, PyTorch, TensorFlow, and Git Strong communication skills more »

Senior Machine Learning Engineer | Inside IR35 Contract | Marketing As a Senior Machine Learning Engineer, are you ready to redefine the future of marketing through the power of data and technology? As a Senior Machine Learning Engineer, you'll deploy and productionise predictive models aimed … in the creation of the best-in-class models, measurement and reporting We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience 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 … from across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal … candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement more »

global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year … software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Benefits Attractive quarterly OKR bonus more »

MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking for an experienced Machine Learning Engineer … as well as work closely with their clients. ROLE: You will be involved in implementing and fine tuning LLM's Designing, implementing and maintaining ML pipelines Define infrastructure requirements and architecture for Model Training and Inference Measure and review the performance of production models - Regularly conducting evaluation and tuning Collaborate more »

Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End … to-end machine learning product development, from data wrangling to model tuning and deployment Provide insightful storytelling to stakeholders through compelling dashboards and visualisations Lead and oversee intricate data projects Coach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the team Requirements … Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company more »

8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point. This involves: Building edge applications processing vision data and communication layers for the compute-constrained edge … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer £80-120k base Company equity % in more »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms. Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of … and will have a significant and meaningful impact in the business. ABOUT YOU: We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects … expectations. WHY JOIN: You’ll be at the forefront of innovation shaping a fast-growing industry 🔥 Salary of £80,000 - £105,000 💸 The best machine to do your work: a spec’d-out Macbook Pro 💻 Share options so you benefit from our success 🚀 28 days paid holiday plus bank more »

descriptionSenior Data Scientist - 1x/month in London - up to GBP80kNFI08082023SF-7_1691513874Are you an enthusiastic Data Scientist who is looking to work with Machine Learning projects?My client are a … start-up software company who are looking to change all digital interactions. Due to growing, we are looking to hire a Data Scientist/ML Engineer with experience in Python,(Numpy/Scikit - learn), ML/Azure ML, SQL and ideally you would have a research and development background. Within … this role, you will work closely with Software Engineers, execute R&D programme to develop ML components through their platform, document your findings, advise the product engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML more »

Role: Senior ML Engineer 💸Salary: up to $85,000 🏁Sector: B2C Mobile App 📍Location: Remote (UK, Germany, Italy, Spain or Portugal) Join one of the fastest growing consumer businesses in Europe who have built a nutritional app with a global reach of millions of users. We're on the lookout … for a Senior ML Engineer to be responsible for integrating machine learning into their platform. This role is crying out for someone who wants a blank canvass, and play a key role in setting up tools, processes, monitoring and scouting out where to apply ML. Core responsibilities will … current data (they have a strong team of data engineers and data analysts), and scope out where models can be applied, set out how ML will be evaluated and monitored. Looking for: A minimum of 3 years' hands-on experience as an ML Engineer Demonstrated track record of driving the more »

These roles will sit in our Embodied AI division which will consist of modelling, robotics and data teams working with another group that provides ML training infrastructure.You will grow the team according to the product roadmap on commercialisation timelinesYou will be expected to establish solid ML practices from the start … developing our autonomous vehicle capability roadmap with production-level quality data and models across the ML cyclePrioritising effectively, keeping processes lean and effectiveChallenging the status quo (both technical and organisational/process)Training, tuning and debugging production models, informing decisions on how to collect and synthesise training data. The technology … could be contributing to a bug, add feedback loops, and then assess feedbackWhat you will bring to WayveEssential:Prior experience as a manager of ML development teamsPassionate about fostering personal and professional growth in individual team members Industry experience with embodied AI development with real-world product impactExperience with roadmap more »

up uses AI at the core of the business. They are looking to continue expanding their AI team by hiring an AI Engineer/Machine Learning Engineer focusing on building and deploying machine learning models, specifically working in the LLM's space.THE ROLEAs an AI Engineer more »

across all company functions, enhancing our ability to make informed decisions quickly and effectively.You'll also play a critical role in integrating AI and machine learning models into our services, working closely with product teams to improve customer experiences and operational efficiencies. Your oversight will extend to the … significant portion in leadership positions. Prior experience in the banking or financial services sector is highly desirable.Technical Proficiency: Advanced knowledge of data analytics frameworks, machine learning, AI integration, and the ability to design scalable data infrastructures and architectures.Regulatory Knowledge: Comprehensive understanding of and experience with data protection regulations … employee contribution and a 3% employer top-up.Learning and development: After 1 year of service, you'll have access to 500 from the Kroo Learning Fund to invest in your career development.Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook 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 »