1 to 25 of 1,174 Machine Learning Jobs in England

AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage multiple tasks effectively in more »

in Reading Maclean Moore are working with our global consultancy client to find an AI Security Architect to Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML syste... APCT1_UKTJ more »

Senior Design Engineer - Cambridge (Hybrid) Design Engineer - FPGA - C++ - Software Development - Embedded Linux - Python - SystemVerilog - Altera - Engineering - Design - Machine Learning - Digital Design Are you passionate about shaping the future of AI technology? Do you thrive in a collaborative environment where your ideas can make a real impact? Look more »

Job Description We are looking for a Data Engineer to join our Y Combinator backed start-up. They are using AI and ML technology to build a SaaS product. You will be working closely with the Data Scientists and wider engineering teams. Responsibilities Maintaining Python/SQL ETL pipelines Shape … future architecture to enhance ML/AI capabilities Collaborate with several teams to provide technical solutions Requirements Early-stage start-up passion Strong Python knowledge Experience building and optimizing "big data" pipelines more »

Chief Data Scientist £130k - £170k base DOE, London Are you a data scientist who has specialised in machine learning? Do you enjoy working with data that will help predict outcomes more accurately? If you know how prediction models work … and how to apply external factor information to help predict consumer behaviour then this will be for you. You will use your knowledge of ML and AI to drive this business forward, focus the data and provide better results for customers. The main aim is to add value to the 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 | Fitness | Mobile | B2C | Python | AWS Gravitas has partnered with a scaling B2C mobile app business that is on a mission to build a leading fitness training platform to hire for a Senior Machine Learning Engineer to join their team on a permanent basis. Role … Senior Machine Learning Engineer Salary : £70,000 - £85,000 (flexible depending on experience) Benefits : Equity, 25 days holiday, Private health insurance, Pension & more Location : London (hybrid - 2/3 days per week in office) Skills/Experience we're looking for: 3+ years experience in a similar position … Proficient in Python programming Previous experience deploying models to production in a cloud environment ( preferably AWS ) End-to-end Machine Learning (Data wrangling > Model building > deployment) If this role is of interest, please apply with a copy of your up-to-date CV for review. We are meeting more »

the last Series C funding round in January 2023. Your Team You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable … Oxa Driver™ to plan and execute sophisticated, safe driving behaviours scalably across all of our customer domains. Your Role As our Senior Engineer (Reasoning ML), you will take a leading role within your team to research, develop and deploy machine learning models enabling new behavioural capabilities and improvements … product quality, customer experience, and maintainability. You Will Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles. Create and curate datasets for training and validation more »

Will Be Working with a variety of sensors, including cameras, LIDAR, radar. Developing custom algorithms in C++ to improve the algorithm performance of the ML models for perception systems Developing core perception algorithms (C++) for sensor-agnostic static/dynamic object detection and classification. Working alongside ML and C++ engineers … experience of State-of-the-art techniques for 3D Perception algorithms optimisation Strong proficiency in developing and debugging C++ code Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for learning Coordination of people and milestone tracking Proactive problem solver with strong analytical skills Excellent communication and organisational abilities more »

building cloud solutions to support the activities of machine learning engineers across the company. You will build tools and APIs to support ML teams in every stage of their ML workflows. You will champion automation of the entire ML lifecycle, covering data ingestion, model development, model training, model … management, deployment, serving and monitoring. On a day to day basis you will prototype tools and APIs to allow ML engineers to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service. In developing solutions you will carefully consider the skillset of the end user … and design and document tools accordingly. ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools. In addition to supporting ML teams with their custom MLOps requirements, you will form more »

COMPANY: We are working with a leading retail company, who are looking to progress the work they are doing around Machine Learning (Personalisation and Recommenders). They are looking for a Lead Data Scientist to join their team. A retail company is looking for a Lead Data Scientist … to join their team! ROLE: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models 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 »

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 »

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 »

s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. As the Engineering Lead, you will join the Application Engineering and Architecture team to bring technical excellence to a variety 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 »

the better for it. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

interview process with us. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

the better for it. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

management tools to facilitate on time delivery Knowledge of, and/or experience working with some of the following: Robotics: localisation, mapping, planning, perception, ML/semantic understanding, control, sensing modalities, commissioning & calibration Development: C++/Python, Linux, shell scripting, networking, version control Engineering: systems integration, POC prototyping, V&V … interview process with us. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

AI, ML and Series A investment. Not another one of these companies? No, it’s not. You’re going to be coming in to lead engineering in a company that have already proved that their product works and works well. With a host of big-name clients, their AI/… ML driven tech product has been key in helping various brands automate their online advertising and optimise it for increased ROI. Series A investment was achieved last year and that was used to build out the product and start to grow the team across tech and sales. The technical team … You’ll come in to help each member hit their potential, whilst fostering a team focused on collaboration and good quality outcomes. AI and Machine Learning are built into the product and are of course the main buzz words here, but at its core, it’s a SaaS more »

concepts to diverse audiences. Over 5 years of experience in coding, particularly in Python, R, and SQL. Extensive experience (over 5 years) in building Machine Learning models. Understanding of underlying data systems like Cloud architectures, K8S, Spark, and SQL. Fluency in English and German, with French being a … data science projects. Proficiency in technical skills, particularly Python, R, SQL, Pyspark, and JavaScript. Assisting users in mastering the platform. Analysing diverse data and ML applications. Providing strategic insights to ensure customer success. Collaborating with customers on production-level projects. Mentoring and contributing to team education and growth. If you more »

various elements of the price insurance markets set, and how they can optimise this to deliver business targets of relevant statistical modelling methods and machine learning techniques you will hold a highly numerate degree and have experience of applying your knowledge in a business environment. A background in more »