51 to 75 of 431 Machine Learning Jobs in the UK with Remote Work Options

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 »

Title: Senior Machine Learning Engineer (NLP) Type: Contract Rate: £500-600 per day Length: 6 months Location: London (Hybrid) We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products! You … to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for … data science and mentoring, and a desire to share knowledge. PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more more »

AI/Machine Learning Engineer – 6 months - £600 p/d (Outside IR35) AI/Machine Learning (ML) Engineer, with strong chunking and indexing algorithm experience, required by a leading ecommerce company to set the direction for LLMs. The right candidate will have strong commercial experience … of improving LLM performance whilst being an expert in the utilisation of vast amounts of data. Key requirements Strong experience as an AI/ML Engineer Excellent commercial experience with LLM’s particularly Chat GPT and Llama Experience with data chunking and indexing for AI pipeline. Python skills Relevant degree … or post-graduate degree in AI, ML or related field Duration: Initial 6-month Rate: £600 p/d (Outside IR35) Location: London (hybrid more »

heroes who will positively shape our future.What are the day-to-day tasks?Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … C#, or Java, with a deep understanding of software development principles.Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning more »

be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most … Aug 2024 Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. … high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization. Our mission is to combine human and machine intelligence to revolutionize asset management. We are … in the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of systematic investment teams with a history of leveraging machine learning at BlackRock to create alpha, the goal was to apply these same techniques throughout the business. Job Description We are seeking a … of our users. As a senior full stack engineer, you will lead the design and development of products that are based on proprietary statistics, machine learning, optimization, and AI methods and that are of strategic importance to the firm. You will partner with our product managers, researchers, and more »

solver that wants to help keep the country safe? As a Data Scientist at MI5, you’ll be responsible for developing and applying new Machine Learning capabilities to help us automate the detection of the threats we face. Data Science forms a core part of our strategic approach … cycle of our Data Science products from concept through to research and delivery. As a Data Scientist, working closely with technical specialists such as ML Engineers, Business Analysts and Product Managers, your focus will be to understand and prioritise mission problems. You’ll develop solutions tailored to meet the organisation … experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data science, data manipulation and data visualisation. A resilient problem-solver more »

solver that wants to help keep the country safe? As a Data Scientist at MI5, you’ll be responsible for developing and applying new Machine Learning capabilities to help us automate the detection of the threats we face. Data Science forms a core part of our strategic approach … cycle of our Data Science products from concept through to research and delivery. As a Data Scientist, working closely with technical specialists such as ML Engineers, Business Analysts and Product Managers, your focus will be to understand and prioritise mission problems. You’ll develop solutions tailored to meet the organisation … experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data science, data manipulation and data visualisation. A resilient problem-solver more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

this role About this role The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project/… Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertibahnse in machine learning, statistics, optimization and stochastic control. These advisors include Emanuel Candes, Trevor Hastie, Robert Tibshirani, and Mykel Kochenderfer who dedicate time in our … of the distributed team. In this role, you can expect to: Design and deliver secure and scalable solutions to enable the rapid delivery of machine learning products to production environments Continuously improve existing products, tools, and services, by maintaining close relationships with data scientists, researchers, and other BlackRock more »

global capability to assess open web news sites on the adversariality of their content. We are doing this using a combination of cutting edge machine learning and human review by intelligence analysts. Our goal over the next 3-5 years is to scale up the technology and intelligence … with teams of data scientists, engineers and product managers. Great people manager: Leadership roles requiring the management of significant teams from different technical disciplines. Machine learning expert: An aptitude for technology innovation, especially in advanced machine learning fields. Experience with Natural Language Processing (NLP), especially large 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 »

on a 4-6 months contract for a growing Biotechnology company. Your primary responsibilities will include: • Designing and implementing an innovative platform architecture for machine learning operations. • Defining the model management lifecycle, including continuous fine-tuning and monitoring of model performance. • Deploying and maintaining machine learning … data scientists to comprehend their requirements and ensuring a seamless workflow for model development and deployment. Required Skills Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with Terraform more »

role will entail: * Gathering and manipulating disparate data, applying analytical techniques and visualising results. * Application of various tools, data mining, statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data. * Extracting meaning from data, uncovering insights and identifying opportunities to inform business … in data sets.Main Skill-Set We are looking for a good mix of the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI … is essential you have the following: * 3+ years' experience as a Data Scientist * Excellent communication: clear, concise & articulate. * Passion for Data, Analytics, AI and Machine LearningBenefits PackageYou will be awarded the following benefits package: * Base Salary - From 60,000 to 65,000 per annum (may stretch to more »

Machine Learning Engineer Bristol or remote Up to £65,000 Opportunity to establish the ML/AI function within an already successful revenue-generating business Gain exposure to a range of projects across audio, NLP and computer vision Significant career progression opportunities I'm looking for an ML … Engineer with experience building ML architecture and infrastructure and taking models into production. You'll be joining a well-established business with a 75% market share in their respective space and whose products are already used by hundreds of thousands of people across the UK. They're now looking to … line and develop new ones. Unsurprisingly, they're looking towards AI to help enhance their product offering and so they need to bolster the ML expertise within the business. This is a brand new role so you'll work closely with the CTO and Principal Engineer and enjoy a huge more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities 1.Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … high level of proficiency in SQL and Python. A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … level of proficiency in SQL and Python . A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

Senior Software Engineer (ML) - £100,000 Title : Software Engineer Company : Deep Learning (HPC) Location : Hybrid (Cambridge) Salary : £100,000 Skills : Rust/C++, Deep Learning Overview : An elite, boutique start-up operating at the intersection of HPC and Deep Learning is paving the way for a new … between a Software Engineering and Machine Learning engineering role in a greenfield environment. About you : 4+ years in a Software Engineering/ML role Extensive performance optimisation Very strong C++ or Rust experience (bonus points for Rust) Exposure to GPUs Deep learning toolkit experience (E.g., TensorFlow, PyTorch more »

acquisition by BioNTech has further solidified our commitment to leading the industry.Join us to be a part of the AI revolution!Are you an ML Ops Engineer - Team Lead passionate about Product & Innovation?If so then keep reading…As ML Ops Engineer - Team Lead you will be working at the … intersection of machine learning and engineering (i.e., ML Ops), leading teams to deliver innovative and high-quality services. You will be a strong advocate for both engineering standard methodologies (e.g. code reviews, unit testing) and also the adoption of new technologies.ResponsibilitiesWork end-to-end on the ML lifecycle … from data exploration to model operationalization, and Partner with different teams and domains on crafting, explaining, and implementing ML models.Collaborate with data engineers, data scientists, product, etc in a multi-functional team for the delivery and maintenance of these solutions and business integrationWorking closely with the other department to understand more »

We are seeking a skilled Rust/C++ software engineer to contribute to our innovative projects at the intersection of blockchain and machine learning. As part of our team, you will play a key role in developing next-generation solutions that push the boundaries of computer architecture and blockchain … compiler tools and techniques to enhance the performance and efficiency of blockchain execution environments. Blockchain Integration: Work closely with blockchain engineers to integrate advanced machine learning algorithms, neural networks, and deep learning techniques into blockchain frameworks. Explore new approaches to enhance blockchain scalability, security, and performance using … options. Remote work flexibility with a supportive and inclusive company culture. Opportunity to work on cutting-edge projects at the forefront of blockchain and machine learning integration. Continuous learning and professional development opportunities. How to Apply: If you are a talented Rust/C++ software engineer seeking 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 »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Qualifications Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker Experience in DevOps, Cloud Operations, ML more »

work will have a very direct, measurable impact on achieving those goals.Senior Data Scientist – Spiking Neural NetworksJob responsibilities:Apply your existing knowledge of SNNs, machine vision and image analysis techniques to the development of a novel SNN engine based on our research outputs. You may also be asked to … work on projects that make use of CNNs and Transformer networks.Enhance machine learning software with the latest in machine learning algorithms.Work with other team members tasked with the development of a system for automating the production of synthetic training images derived from digital 3D virtual reality … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products.Support the work of other data scientists and developers in the team.Work with research colleagues and offer technical support to colleagues in commercial roles in more »